New Era for Finance

22 Jan 2026 08:00h - 08:45h

Session at a glance

Summary

This discussion at the World Economic Forum focused on how technology is rewiring global finance, bringing together perspectives from traditional banking, investment, and cryptocurrency sectors. The panel explored the convergence of two major themes at Davos: concerns about geopolitics and macroeconomics versus excitement about AI and technological innovation in finance.


The panelists identified several transformative developments in finance. Traditional banks emphasized the revolutionary potential of generative AI to enhance customer experience, risk management, and operational efficiency, with mobile banking already dominating retail interactions. Investment and custody services highlighted the importance of interoperability between public and private markets, as well as on-chain and off-chain systems. The cryptocurrency sector pointed to tokenization, payments integration, and AI agents using crypto as native currency as major growth areas.


However, the discussion also addressed potential failures and limitations. Concerns were raised about AI producing mediocre results, the slow adoption of crypto payments despite efforts like El Salvador’s Bitcoin initiative, and the risk of certain innovations like NFTs and memes becoming obsolete. The panelists debated whether traditional brick-and-mortar banking would significantly decline over the next decade.


A significant portion of the conversation centered on systemic risks, particularly how digital technology accelerates financial crises, as demonstrated by Silicon Valley Bank’s rapid collapse compared to 2008-era bank runs. The panel discussed how AI and algorithmic trading could amplify market volatility and create synchronized behaviors that increase systemic risk.


Regarding regulation, the panelists emphasized the need for activity-based rather than institution-based oversight, with some supporting global regulatory coordination. They noted significant differences in regulatory approaches between regions, particularly between the US focus on innovation and Europe’s emphasis on risk management. The discussion concluded that while a global regulator may be unrealistic currently, regulatory passporting between countries could be a practical first step toward international coordination.


Keypoints

Major Discussion Points:

AI as a transformative force in finance: All panelists emphasized how artificial intelligence, particularly generative AI, is revolutionizing financial services – from customer experience and risk management to coding and lending processes. However, there’s acknowledgment that AI may produce “mediocre” results and isn’t perfect for all applications.


Emerging financial technologies and their potential: The discussion covered various innovations including blockchain, cryptocurrency, stablecoins, tokenization, and digital payments. Panelists highlighted both the massive scale of crypto exchanges (Binance having 300 million users) and the potential for AI agents to use crypto as their native currency.


Speed and systemic risks in modern finance: A significant focus on how technology has accelerated financial transactions and risks, exemplified by the SVB bank run happening in 1-2 days versus 2-3 weeks historically. This speed creates both opportunities for better risk management and potential for faster contagion.


The evolving role of traditional banks: Discussion of whether physical banks will become less relevant, with debate about how traditional financial institutions must innovate while maintaining customer trust. The tension between disruption and the continued importance of established banking functions was explored.


Regulatory challenges and international coordination: Examination of how different countries approach financial innovation regulation, from China’s strict framework to the US’s more market-friendly approach, and the need for better global coordination without necessarily creating new global regulatory bodies.


Overall Purpose:

The discussion aimed to bridge two separate conversations happening at Davos – the concerning geopolitical/macroeconomic discussions and the exciting AI/innovation discussions – by exploring how technological innovations are “rewiring global finance” while considering the regulatory and geopolitical backdrop affecting these changes.


Overall Tone:

The discussion maintained a cautiously optimistic tone throughout. It began with excitement about technological possibilities and opportunities, shifted to acknowledge realistic concerns about risks and potential failures, and concluded on a pragmatic note about the need for balanced regulation and international cooperation. The panelists were generally enthusiastic about innovation while being thoughtful about challenges, with the former Binance CEO providing more direct and sometimes contrarian perspectives compared to the more diplomatically cautious responses from traditional banking representatives.


Speakers

Kristin J. Forbes: Moderator/Panel Chair (appears to be an academic with MIT connections and former government experience)


Steven van Rijswijk: CEO of ING Group from the Netherlands (banking/financial services)


Jayee Koffey: Chief Enablement and Global Affairs Officer at BNY (Bank of New York) (banking/financial services)


Fred Hu: Founder, Chairman and CEO of Primavera Capital Limited from China (investment/private equity, former Goldman Sachs)


Changpeng Zhao (CZ): Ex-CEO of Binance from the UAE (cryptocurrency/blockchain, recently retired)


Additional speakers:


None identified beyond the provided speakers names list.


Full session report

Technology Rewiring Global Finance: A Panel Discussion Summary

Introduction and Context

At the World Economic Forum, a distinguished panel convened to explore how technology is transforming global finance. Moderated by Kristin J. Forbes, the discussion brought together Steven van Rijswijk, CEO of ING Group; Jayee Koffey, Chief Enablement and Global Affairs Officer at BNY; Fred Hu, Founder, Chairman and CEO of Primavera Capital Limited; and CZ (Changpeng Zhao), recently retired CEO of Binance.


Forbes opened by identifying a disconnect at Davos: whilst some conversations focused on concerning geopolitical and macroeconomic developments, others centered on exciting technological innovations, particularly in artificial intelligence. The panel’s mission was to bridge these seemingly separate narratives by examining how technological advances are reshaping global finance.


Artificial Intelligence as a Transformative Force

All panelists spoke positively about artificial intelligence’s impact on financial services. Van Rijswijk emphasized how AI and generative AI are dramatically improving customer experience, internal processes, and risk management in banking. He shared that ING serves 41 million customers, with 85% using mobile as their preferred device and 85% of retail sales occurring through mobile channels.


Koffey, representing “the bank Alexander Hamilton founded over 240-plus years ago” serving clients across 100+ markets, noted that AI is “supercharging” operations and enhancing both proactive and real-time risk management capabilities. She stressed that interoperability between public and private markets, as well as on-chain and off-chain systems, represents a key development.


Fred Hu described generative AI as a game-changer, arguing that it augments human intelligence with “super intelligence” across the entire value chain. However, he also warned about potential risks, noting that AI could create synchronized trading behaviors that amplify market volatility.


CZ positioned AI within the broader context of cryptocurrency, noting that AI agents may increasingly use crypto as their native currency, creating new convergence opportunities between these technological domains.


Cryptocurrency and Blockchain Integration

CZ highlighted that cryptocurrency and blockchain technology have demonstrated staying power over 15 years. He shared that Binance had reached 300 million users—”larger than the next five exchanges combined”—with trading volume higher than the Shanghai and New York Stock Exchanges. He identified three emerging crypto areas: tokenization (working with governments), payments (crypto-to-fiat bridges), and AI agents using crypto.


However, the panelists acknowledged mixed results in crypto adoption. Van Rijswijk noted that whilst banks are experimenting with stablecoins and blockchain technology through regulations like MiCA, they remain uncertain about crypto payments’ practical implementation. Forbes cited El Salvador’s Bitcoin initiative as an example of limited practical adoption despite technological capabilities.


CZ provided a realistic assessment, suggesting that certain crypto innovations like meme coins and NFTs represent high-risk speculative areas likely to fail, demonstrating the sector’s willingness to critically evaluate its own developments.


Speed, Risk, and Financial System Vulnerabilities

Forbes provided compelling analysis of how technology has altered the speed of financial crises. She compared Silicon Valley Bank’s collapse—occurring over one to two days with 80-90% deposit loss—to 2008-era bank runs that took two to three weeks with 10-15% deposit loss. This acceleration resulted not from advanced AI but from basic digital capabilities: online banking, social media, and mobile applications.


The panelists revealed different perspectives on whether speed creates new risks. CZ argued that faster, cheaper technology is inherently better, contending that speed exposes problems rather than creating them. He cited Binance’s ability to handle $7 billion in withdrawals in one day ($14 billion in one week) as evidence that properly capitalized systems can manage rapid transactions without systemic risk.


Forbes, however, emphasized that speed itself creates new systemic risks requiring new approaches to risk management and regulatory oversight. Van Rijswijk noted that digital technology creates both safer systems through better risk management and greater interconnectedness risks requiring proactive monitoring.


Traditional Banking Evolution and Future Outlook

The panel engaged in substantive discussion about traditional banking’s future. Van Rijswijk argued that banks must continuously innovate whilst maintaining customer trust, viewing external pressure and regulation as helpful forces for improvement. He emphasized that traditional banks serve important purposes and would not disappear, though they must adapt significantly.


CZ offered a more disruptive perspective, boldly predicting that physical bank branches would decrease significantly over the next decade as digital alternatives become more sophisticated and widely adopted.


Van Rijswijk also raised concerns about Europe’s competitive positioning, noting that Europe needs to shift from a savings-focused to investment-focused mindset. He highlighted that €12 trillion in deposits out of €16 trillion GDP need to be put to productive work, connecting technological innovation to broader questions of economic competitiveness.


Regulatory Frameworks and Global Coordination

Van Rijswijk advocated for activity-based regulation that should be harmonized globally, arguing that the same rules should apply to the same financial activities regardless of institution type. He noted differences between Europe’s risk-focused approach to AI regulation compared to the US’s opportunity-focused approach, suggesting that Europe should prioritize strategic positioning.


Koffey emphasized that regulation must be a force for economic growth and innovation, breeding adoption and trust through proper balance. She argued that effective regulation should facilitate rather than hinder innovation whilst maintaining appropriate safeguards.


CZ offered a pragmatic perspective on global regulatory coordination, arguing that regulatory passporting represents a more feasible near-term solution than creating global regulatory bodies. This approach would allow licenses from one country to be recognized by others through bilateral agreements.


Hu described China’s approach as maintaining stricter financial regulation than the US whilst still fostering fintech innovation within established global frameworks.


Key Areas of Agreement and Ongoing Challenges

Despite their diverse backgrounds, the panelists agreed on several fundamental principles. Most notably, they emphasized that customer trust remains essential for successful financial innovation. Koffey stated that “trust is the essential ingredient” and that innovations failing to maintain customer trust would not survive.


The panelists also agreed that technology creates both tremendous opportunities and substantial risks requiring proactive management. All speakers supported clearer, more coordinated regulation to support innovation whilst managing risks, though they differed on specific mechanisms.


However, significant questions remain unresolved. The fundamental tension between speed and stability, the optimal pace of traditional banking transformation, and the mechanisms for international regulatory coordination require ongoing attention.


Conclusion

The panel successfully bridged the gap between geopolitical concerns and technological excitement in finance. The discussion revealed that whilst significant opportunities exist for technological innovation to improve financial services, these developments occur within a complex web of regulatory, competitive, and systemic considerations.


As Forbes concluded, AI represents “part of the exciting opportunity ahead in finance” but also presents “substantial risks.” Successfully rewiring global finance through technology will require not just technological innovation, but also regulatory wisdom, international cooperation, and unwavering focus on maintaining the trust that underpins all financial systems.


The path forward demands balancing multiple objectives whilst navigating an increasingly complex and rapidly evolving landscape where traditional institutions, technology companies, and regulatory authorities must work together to harness innovation’s benefits whilst managing its risks.


Session transcript

Kristin J. Forbes

Good morning, everyone. So delighted to be here today to talk about a new era for finance. So I’m not sure if any of you have had the same experiences I have at the forum over the last few days, but I feel like there’s almost two separate conversations happening here.

There’s one set of conversations about geopolitics and macroeconomics. This is, you know, the set of conversations worried about the fragmentation of the global trading system, about debt, the role of the dollar. These conversations can be quite depressing, quite worrisome, and have really been a big focus of a lot of the discussions here.

Then the other big focus of the discussions has been on AI and innovation and technology. And this is a really exciting set of discussions about the possibilities for the future, all these exciting new developments going on. For example, I was at a dinner last night with some MIT colleagues, and they were talking about how AI is allowing them to advance their scientific breakthroughs even faster than before.

They’re doing things like they’re making water out of air. You can think about what that could mean for space travel, for example. Talking about how they’re using AI to break down the structure of cells and plants so that plants can adopt to global warming.

And this is really exciting stuff. But it’s a real disconnect within the much more depressing macroeconomic and geopolitical discussions. So, in this panel today, we are going to take the bold step of trying to merge these different discussions.

So, we’ve now had a couple days to warm up, so we’re now going to try to bring these themes together. And more specifically, we’re going to talk about innovations in financial markets, including not just how these innovations are occurring, what the future could bring, but also think about the regulatory and geopolitical backdrop that these are occurring in, and how the regulatory and geopolitical backdrop can affect these innovations in finance.

So, I hope you had your coffee. We’ve got a lot to cover. And these are big topics and exciting to try to bring these big themes of Davos together in this panel.

So, to do that, we have four fantastic panelists covering some very different sectors of innovation and finance, and also four different regions of the world. So, this is a really nice mix of people for this panel. So, let me just very quickly introduce them.

You have their full bios in your packets. First, we have Steven van Rijck, CEO of ING Group from the Netherlands. Then we have…

Jai Khafre, who is Chief Enablement and Global Affairs Officer at BNY, Bank of New York. Then we have Fred Hu, who is Founder and Chairman and CEO of Primavera Capital Limited from China. And then we have Chengpeng Zhao, who we call CZ for short, so I don’t stumble over that name anymore, who is CEO of Binance from the UAE and who is just retired.

Ex-CEO. So, he is going to be the particularly fun person to listen to as he no longer has any constraints on what he says. But anyway, the theme of the panel is about how technology is rewiring global finance.

And for those of you who follow this field, there is a lot going on. There is a lot going on in forms of payments and currency. There’s a lot going on also in the plumbing, the pipes of how financial transactions occur.

It’s a lot to keep up on. So, to just get us started, I want to go down, and I’m just going to go in the order you’re all seated, and ask you what you think is the rewiring that is the most consequential. What is the development you are most excited about?

It could be a segment of markets, what’s going on in private credit, investing, Bitcoin, stablecoin, digital currencies. It could be in technology, Bitcoin ledger technology. It could be in more plumbing-related issues.

Leave it really wide open just to get us going. Talk about what you think is the most exciting new development that is going to have the longest term impact in finance. Steven, get us started.

Steven van Rijswijk

Wow. The pressure. Now, look, at ING we have broad operations, but in retail we have 41 million private individual customers.

Eighty-five percent of those use the mobile as their preferred device. Eighty-five percent of retail sales is also being done through the mobile. And what do I try to say is that… Most people do already work mostly through the mobile with us.

So we are a digital bank in the core or in the heart of what we do. But it also means that we still have a way to go to get people on the mobile more and more and to use the device more. That is for us the first step.

So why are our customers to the mobile? Because mobility will help the customer the most. Then the second step is how can we make our customers’ lives easier?

It’s in the end all about the customer. And what I’m most excited about, what we can do, and that comes in a few phases. First of all, and that’s AI.

We are already using AI for about a decade, for example, in contact centers and with chatbots with varying degrees of results. Sometimes it’s good, sometimes it’s not so good. But now with Gen AI, and especially with Gentic AI, we can improve the customer experience dramatically.

It starts first internally with bringing new stuff to market, with coding for technology. Then there’s a second layer that has to do with customer processes, such as lending processes or contact centers, to make life simpler in the day-to-day basis for customers. But then thirdly, when do we sell something or bring a new product to customer in a better way?

And there I think Gentic can help. And that’s the third layer of AI that I think really can make a difference because then it sits in the core of what we do, which is how to deal with customers. And that’s why I’m very excited about AI.

Kristin J. Forbes

Fantastic. Jie? Great.

So happy to be here.

Jayee Koffey

So BNY, the bank that Alexander Hamilton founded over 240-plus years ago, we’re now serving clients across over 100 markets, helping clients all over the world safekeep, move, and manage trillions and trillions of dollars’ worth of assets across different securities, asset classes, and geographies.

So as you can imagine, a variety of rewiring through different macroeconomic and geopolitical scenarios over the past 240-plus years. I would say, coming back to the question today, though, For me, for BNY, it’s really about interoperability, interoperability between public and private markets, interoperability across on-chain and off-chain, interoperability in terms of securities and various asset classes and geographies.

And BNY, you know, we’re very privileged to be able to sit in the middle of all of that and really helping to not only develop innovation but deploy and scale innovation because without scale, you know, innovation, you know, the benefits of innovation don’t get fully maximized.

Steven, I would echo what you said about AI and for BNY, AI is going to be and has already started being a real supercharger of almost everything we do. So we have this motto within the firm of AI for everyone, everywhere and eventually everything, including one of the most important tenets of the financial ecosystem, which is risk management. So we’re actually using AI to improve proactive as well as real-time risk management, which, you know, if you go back to the velocity, the complexity of the world that we operate in, risk management is going to become even more important.

Kristin J. Forbes

Thank you. Fred.

Fred Hu

Yeah, so, you know, financial service, you know, has so much data, is ripe for technology. And so with the gen-AI revolution, so financial service, you know, is really a game-changer. You know, historically, you know, Wall Street in particular, but, you know, financial service in general has been actually on the forefront of adopting latest technology, you know, information technology.

You know, my older firm, Goldman Sachs, actually, both, you know, Kay and I served, was reportedly the first Wall Street firm to purchase the, you know, IBM mainframe, actually from Mr. Watson directly. So that showed, you know, later 40s, early 50s, right?

So… financial service firms was on the forefront of adopting information technology, but you know, and of course, you know, financial service is always in part of supposedly smart people, you know, graduates from MIT you know, financial engineers, but fundamentally still rely on, you know, they do a lot of data analytics, but still rely on human judgment, right?

Now with the Jain AI, so you have this kind of, you know, super intelligence, all the data available to financial services, and with the Jain AI in a model, you get, you know, extra intelligence, which augments human intelligence, you know, obviously human is still in the loop, but that is really transformative, you know, from infrastructure to risk management to customer service, you know, the whole, you know, vital chain across financial service.

I do think this is, you know, game-change, it’s transformative, you know, it’s going to have very, very significant impact, not only for financial service in terms of efficiency, productivity, and risk management, but for society, for the global real economy at large.

Kristin J. Forbes

Suzy. Sure.

Changpeng Zhao

Well, I look at a very narrow segment of the financial market, which is basically cryptocurrency, blockchain, web3, however you call it. I do believe that this is, this technology is a game-changer for sure, and I think we’ve proven over the net, over the last 15-16 years that it’s not going away. Binance is one of the largest crypto exchanges in the world.

It is the largest. By far the largest. It’s larger than the next five combined.

But just some numbers, right, it has 300 million users. It’s probably larger than any bank that I know. And its trading volume is higher than Shanghai Stock Exchange.

It’s higher than New York Stock Exchange last year. So it’s, but right now in the crypto space, there’s really two proven industries, there’s exchanges and stablecoins. Those are large businesses.

I’m really excited about three new more. I think tokenization is a huge one. I’m talking with probably a dozen governments about tokenizing some of their assets, because this way the government can actually realize the financial gains first.

and use that to develop those industries, extractions, you know, the trading markets, etc. Payments is something that we’ve tried, have not really conquered in, well, have not really started in crypto. We tried, but nobody really pays in crypto.

But I think now we’re seeing the convergence of traditional payment methods being on behind the scenes, being supported by crypto. So the spenders swipe a card, crypto gets deducted from their account, the merchants get US dollars or euros or whatever they get. So now when we have those bridges, I think payments is going to come pretty big.

The third one is what you guys all mentioned is AI. The native currency for AI agent is going to be crypto. They’re not going to use bank cards.

They’re not going to swipe credit cards. Crypto blockchain is the most native technology interface for AI agents. So when AI goes big, today AI don’t really, they’re not really agents.

They don’t buy tickets for you. They don’t pay for restaurants for you. But when they actually do, those payments will be in crypto.

Kristin J. Forbes

Okay, so there’s the best case scenarios here. Here’s what to get excited about. Now I want to shift gears a little bit about whenever we have a period like this of lots of innovation, experimentation, you know, some succeed and some don’t.

So I want to think a little bit about what might not work. In 10 years from now, if we’re sitting on a panel here in Davos, what is one development we might be talking about today that’s not even discussed? It’s sort of gone by the wayside.

Let me just, just to get you thinking, give you a couple ideas. So a lot of excitement by all of you about AI. There’s also some work going on at MIT where they’ve come out to show that AI is great to do a lot of work really quickly, but it’s sort of mediocre.

They call it work slop. You can get sort of 80% accuracy and if you’re fine with that, AI is great. But you know, if you really want to be the best and get things really right, there may be limits.

Also, experiment with a Bitcoin. El Salvador worked very hard to push Bitcoin a great way. El Salvador is very reliant on remittances, doesn’t have its own stable currency.

It seems like a logical place that Bitcoin could really take off for remittances, reduce transaction costs, and there’s been almost no take up despite a lot of marketing and a lot of work. So there’s just a couple of the potential limitations just to give you some time and get you thinking. But now let’s go down, same order.

What is, again, something that people might be excited about today, or at least some people are excited about today, that you think is not going to be even in the discussion ten years from now? Yeah. Get us started.

Yeah, let me first respond to what you just talked about, and about AI not giving a perfect customer experience.

Steven van Rijswijk

And I think that you hit the nail on the head, because it is about the customer experience. Digital means are just the means, it’s not the end, it is just a means to an end. And when we start to use AI, you see it also in chatbots, and you look at the Net Promoter scores with that, I would think the voice interactions of humans just had a higher score than the initial chatbots.

Now with Gen AI, at least on the more simple journeys, you see that it is comparable. So a significant step up. Probably voice bots with Gen AI or Gen AI can help with that, because then the interaction becomes much more natural.

But we are not there yet. And what we should not forget is we need to continuously use technology to make the customer experience better, not the other way around. So that’s maybe what I want to say about that.

And that’s what we need to do as well. Because I agree with you, the big group on simple journeys, such as how do I open an account or how do I make a payment, can be happy. But if it’s about a digital journey on inheritance and it doesn’t work well, people don’t forget that.

And it’s at the outer ends of the customer experience that we need to be very careful, not to be confused about, OK, if digital is not good, OK, those are only a few people. They can completely lopside the way and trust that people have your organization. Now it’s very hard to understand what will in the future not work.

So maybe in the past people thought that Google Glass would be very popular, and it was for a little while. But I don’t know if we still use Google Glass. If you look at the metaverse, for example, my kids were very enthusiastic about the metaverse, which are social avatars that in an avatar world you just interact with each other with your social, with your avatar, and then sort of are in a parallel world.

That I don’t see so often anymore. So but those are more gadgety type of things, I think. So it’s hard to predict what will let you on and what will not.

I have, I mean, I’m sorry to say it’s easy, so I do believe especially blockchain technology is important and is growing in importance for sure. And we’ve seen big examples of that. I also see crypto in the investment space is becoming very important.

It’s quite speculative, but it’s also becoming a more important investment currency. I don’t know yet to what extent crypto as such, blockchain, yes, but crypto coins as such will be there in the payment space. I will need to see that.

I’m watching it. We’re experimenting with stablecoin.

Kristin J. Forbes

I’m just not sure yet. Julie.

Jayee Koffey

I would say it comes, everything comes back to trust. You know, there may be many recipe, many ingredients in the recipe of a perfect financial system. But the one ingredient I think we can all agree on that’s essential is trust.

So innovations that fail or new technologies that 10 years from now look like hype, I would hope that the ones that do do well and survive and go on to thrive are going to be the ones who can really hold on to customer trust first and foremost.

They should be serving also client needs, to Stephen’s point. So the combination of is something actually fulfilling a basic need or able to fulfill customer needs and customer preferences better than existing alternatives? And is that new development able to attract and very importantly sustain trust over a lot of different time periods?

So that’s what, that’s how we look at innovation from the BNY context. Is it helping the client experience or improving or solving a need that our clients have? And are we able to do it, deliver the product in a way that’s going to build on the trust that we’ve accumulated over hundreds of years?

Fred Hu

Yes, honestly, I don’t know. I think the nature of innovation, technology change is uncertainty. How could you sit here and say, well, this is something Caesar is doing.

It’s not going to work ten years from now. I just have the horizon so long, I have no idea. But I do think there are different paths to brand new finance, because finance, as sophisticated, as complex as the ones that exist, there’s still a lot of limitations.

In terms of data, financial services have so much data. ING, another bank, ICBC, I was on the board. One billion retail customers.

So I haven’t been to a physical brick-mortar branch for ten years. It’s everything just digital. So I think we’re still at the very beginning.

With the data that we can get, not just structured data, but the non-structured data with the general model, we can just get so much intelligence. That’s going to risk management. The traditional model is where, because we’re limited by the data set that we can use, the computer power, also the algorithm.

So yes, it gives us insights, but we’re limited. Now, almost like we can many, many magnitudes more intelligence in terms of understanding the risk and also management. Custom service, traditional, your call, especially in the U.S., your microphone call is always a one-hour wait, if you can get it.

Whereas now, it’s instantaneous. Custom service response, so billions and billions of calls. So these are real.

But still, we’re in the early days, and any technology change, mainly with the work, even exceeding the wildest expectation, others will phase out. So I think the market

Kristin J. Forbes

You know, and customer adaption is the ultimate judge. We need to have you hang out with more macroeconomists. Macroeconomists will always tell you why nothing is going to work, why everything is a problem.

Maybe both would be good for each other. Okay. CZ, what should we worry about?

Or maybe not place our money on right now.

Changpeng Zhao

Sure. I think my three panelists have been very smooth and politically correct. I’m going to give some more direct answers, which will probably offend quite a lot more people, including people in my own industry.

I do agree with Steven that I think, look, even if you asked me this question 10 years ago, I would probably say Bitcoin payments. And 10 years later, we’re not quite there. So I’m still skeptical about payments.

We’re working on it. We as an industry, we’re investing in many payment projects. But I think in any innovation field, there’s always a very high degree of failures.

But the small number of successes will be exponential, right? I also echo what Steven said about meme metaverse. What we saw in NFTs was pretty hot for a while, but now they’re kind of pretty quiet.

I have a very high, strong feeling that memes are probably going to be similar. I could be wrong. I think a lot of crypto guys will hate me for saying this, but this is a very high-risk new areas where the value is highly speculative, building use cases for those are hard.

Some memes do stay, like Dodge, around for like 15 years, and they still have a couple billion dollars of market cap. So there are things that have culture value that can stay. But I think most memes probably will not last that long.

And then I also want to add, to offend the other industries, I think brick and mortar banks will decrease significantly over the next 10 years. Decrease? Decrease.

Decrease. People will have much less need to go to a fiscal bank. I think ING pioneered online banking, and that was like 20, 25 years ago.

So it takes a long time to replace the old industry. Now we have cryptocurrencies, we have blockchain. The need for going to a fiscal bank to do stuff, now we have EKYC, we have E-everything.

So the need to go to a fiscal bank may decrease. I don’t think banks will disappear. They serve a very important purpose, well, many important purposes.

But all of these industries, even new ones, traditional ones, they all have risks. So we should just, you know, look at the space on a periodic, careful basis. But you only told us what has failed over the last 10 years.

You haven’t told us what will fail 10 years from now. Well, basically saying, like, look, memes are high-risk, fiscal banks are high-risk. I can go on, but then I’ll offend more people.

Fred Hu

But fiscal bank is not innovation, though, it’s like 17th century, right?

Kristin J. Forbes

No, I think, though, your last point is really important. I want to put you on the banks. If you put some macroeconomists in this discussion, they would really be focused on the risks to banks.

As finance flows through other channels, through other mechanisms, banks are a critical source of financing for investment and growth, and especially small companies, and especially in Europe, but with mixed significance around the world.

But so if some of these new forms of finance take off, the role of banks could decrease. They could have less funds. Funds will be channeled through other mechanisms.

So I particularly wanted to hear from Stephen and Jaylee. You’re more closely linked to the traditional banks, although you are innovating in the new space, too. Very much so.

How concerned are you about the traditional role of banks? Are we going to be looking at very different banking systems in 10 years? Yes.

Are you?

Jayee Koffey

Well, I would say that at one point, paper checks were the most novel thing, right? And if banks only ever focused on paper checks and didn’t innovate beyond then, then those folks probably aren’t really around anymore. And so innovation is absolutely part of the – it is the name of the game.

And it doesn’t have to be just digital technologies. It could be financial instruments. It could be ways for retail and institutional clients to access asset classes that they previously hadn’t really been.

Super familiar with these are all innovations and doing innovation I keep on repeating myself, but really, you know deploying innovation in a way with Responsibility and safety in mind. I think it’s going to be super important. So it’s really up to financial institutions large and small older and newer to figure out how do they innovate responsibly responsibly innovate with Client centricity client trust at the very heart of the why that they are Innovating and I think if you do that and that’s the ethos with which being why is approaching innovation I think the future is bright

Kristin J. Forbes

Anything else that just very optimistic way to Concentrate just I have to agree with it now But it’s well, but I think the key word is trust

Steven van Rijswijk

So that you that you said and so it we have the banks have high trusted customers and I think that’s what we need to bank on and Then it’s all about continuously looking at disruptive technologies and see what we can do with it And so we have had a big fintech era and some of the technologies were very useful Some of them were not so useful So it’s not or or it can be and and so some of the things that we develop we develop ourselves sometimes Fintechs because they’re more in an isolated environment.

They can develop a very specific tool that we don’t use later And we invested also in a number of more blockchain based payment systems such as finality for example or a surely a X and so Currently we have started together with a number of other banks in Europe a stable coordination is called Kivalas So it’s all about continuously looking at what’s happening in the world.

How can we apply to the customer? How can we retain the trust and in the past those were these these brick-and-mortar banks where we and we start For a large set as a telephone bank. It’s about if it’s not a telephone bank Why don’t we then export that somewhere else and then make it to a digital bank and then it became for a computer?

It became a tablet and then it became a mobile and now you see different means of payments with blockchain technology I think it’s a natural progression to continuously innovate. In that sense, I think that pressure from the outside world, including regulation, helps us because it forces us to get better. And that’s why we can continue to innovate, so I’m not concerned.

And I’m actually very happy to collaborate with all these new technologies. We keep going on some risks.

Kristin J. Forbes

Another big risk that macroeconomists, financial experts, focus on is risk to financial markets. Everything can now be done much faster. I was at a session last week on some of the risks of algo trading and AI in financial markets now.

I think, again, things can happen much faster. I think, for me, also, a wake-up call was even before many of these innovations you’re all talking about came into play, looking at what happened with SVB. And what happened with SVB, we saw a bank collapse much faster than we have seen before.

Compared to, say, 2008, peak of the global financial crisis, biggest two bank collapses in the U.S., or the two biggest ones in the U.S. that collapsed then, it took about two to three weeks to really see the run hit them, where they had to declare bankruptcy. In that run that took two to three weeks, only took out about 10 to 15 percent of their deposits.

Then SVB, one to two days, they lost about 80 to 90 percent of their deposits. So things just happen much faster. And that wasn’t even a story of AI or Bitcoin or some of these new technologies.

This was just the new developments that people can chat online. They don’t have to all go to the coffee shop and exchange news and rumors. And it was the new technology that people can withdraw from their accounts online instead of having to go wait in line.

So in some sense, that’s old-fashioned technology compared to the things you’re all talking about. Yet that has fundamentally changed how quickly bank runs happen. And then when you think about implications for financial markets more broadly, you have more momentum trading.

If everyone is trading on the same algorithm, and AI is doing it so humans don’t even have time to push a button, prices can move much more quickly. You’re going to get more hurting, more volatility, a whole set of risks. How much should we worry about that?

Is there anything that can be done?

Jayee Koffey

You know, look, this is why proactive risk management, risk detection, you’ve got to start with that, real-time risk detection because without that, then the risk mitigation actions won’t necessarily kick in in time.

So that’s one. Two is, this is why, you know, things like T plus one settlement, real-time payments, central clearing of U.S. government securities.

Those are market structure developments, innovations in a way that BNY is very much helping all our clients around the world execute and onboard, and reduction of things like settlement times, the greater ability for asset owners and asset holders to do things like collateral management, knowing where the collateral is, knowing the value and being able to move the collateral in a more real-time fashion.

Those are all very tangible, available now mechanisms to improve risk management. And, you know, I should probably also add that us as financial system participants, we’re not in the business of predicting exactly what’s going to happen, how, when, and to whom. We’re in the business of preparing for and planning for a variety of different risk management scenarios.

You’re right, Kristin, the magnitude and the complexity of the risk landscape has changed. It’ll continue to change. That’s sort of the one certainty, right?

So this is where, again, just going back to real-time settlements or faster, speedier settlements, the ability to do proactive and more real-time risk detection and actually interconnectedness of the financial ecosystem.

These are all positive attributes in the long game of risk management.

Steven van Rijswijk

Yeah. I think to add to that also, indeed, I think the digitalization has helped the speed. the lowering of transaction costs, but also better risk management, for example, using blockchain technology because of distributed networks.

And therefore, it has partly made the banking world safer and the finance world safer. On the other hand, and there’s the interconnectedness part of it, if the supply chains and the banking systems and the digital networks are also connected, that means that the proliferation of when something happens gets enormous.

And that means that, let’s say, real-time monitoring, compartmentalization of networks, differentiation of cloud systems are becoming much more important in the past because in the past when something happened, it was limited to what happened in a particular branch and we could contain it.

Now it gets all over the place. And I think that’s why looking at risk management and be much more proactive in it and looking at trading patterns or information patterns to see what is happening is much more important now than it was in the past.

And that’s where technology can also help us.

Kristin J. Forbes

That’s a good point. Do you want to jump in?

Fred Hu

No, I think this is certainly a double-edged sword. So AI could enhance the risk management capabilities, but also now there’s likely AI enabled fraud. So it’s kind of like a chicken, not like a mouse and a cat kind of game.

But the question you alluded to, systemic risk, because of the speed, because of the concentration of a certain model or algorithm, that may cause synchronized trading behavior, more like amplification of human behavior in the AI era.

So that’s kind of unknown, but it’s kind of known that we know that there’s shocks, whether currency or bank run or maybe geopolitical events, something happening in Greenland, for example. So definitely the speed of transmission of… from one, say, from currency interest rates to like equity and other fixed income markets while commodity futures, that could be much faster and so it’s kind of unknown.

But in the new era of AI in finance, that’s in this place, the role of central bank and you know, FSB, global corporation, and also, you know, there’s also for recruiters and microprudential, you know, policy makers, you know, yourself used to be in the government, you know, also need to stay with the game, right?

To use AI as kind of early warning system, right? You know, to detect the emerging risks, so get prepared, right? So I think, you know, it’s unknown, but I’m not as pessimistic just because, you know, AI that, you know, we are going to lose control in terms of systemic financial stability going forward.

Kristin J. Forbes

I have a couple of points to add to that.

Changpeng Zhao

I think that’s, I can dissect that into a couple of different separate points. I think number one is, if everything else stays equal, being faster and cheaper is always better. That itself does not create more risk.

What’s the risk there is, it’s just faster will make it appear faster to happen. But if a bank, or banks have fractional reserves, so if the bank doesn’t have enough money, just because people can withdraw money faster, that’s just going to expose the problem faster. But making it slower doesn’t solve that problem.

It just makes, it just means more consumers couldn’t withdraw when they want to withdraw, so they’re stuck. That doesn’t solve any problems. So if everything else stays the same, technology that makes things cheaper, faster is always better.

On the Silicon Valley Bank, when you described the question, in the crypto industry, we have a different kind of rumors or feel to it. The bank may or may not be in trouble, but our impression is that the bank is very crypto-friendly. It may have been shut down by Operation Choke Point 2.0 back in 2023.

I’ll also give another example that happened to Binance. In December 2023, this is after the FTX went down, after Luna, UST, after Silicon. This is before Silicon Valley Bank, actually.

In one day, there was maximum withdrawal of $7 billion equivalent of assets from Binance.com. No issues. In that week, there was a few days before that, it was up, like, a couple hundred million, a billion, a billion, and then seven billion, and then a billion, a billion, a billion.

In that week, total $14 billion worth of assets got withdrawn from the platform. No issues. In a bank, I don’t know of any bank that can handle that.

So when the term bank run, it’s mainly because the design of banks are fractional reserves. When you have a fractional reserve system, then you have this liquidity issue. So that comes down to the system, systematic design of the system, not so much AI.

So that’s kind of my view. Yeah. The AI does have the problem of synchronized action, potentially.

But I think that’s a very small, we’re looking at a very small thing to blame the entire problem on.

Kristin J. Forbes

My view. Okay. So I got some different ideas.

So what was going to matter was settlements, risk management, and also regulation, including reserve requirements, things like that. So some of this has to be done within each company, but there is also a role for government and government regulation and all of this, and infrastructure in the country. And this is where we are very lucky to have a rich panel, where we have people who, all of you operate internationally, you operate around the world, but you each are at least based, or your company is based in different countries.

We have the Netherlands, the U.S., China, and UAE. So could each of you talk about how important is the regulatory framework, and I’m going to start with you, Fred. In particular, different countries are taking some different approaches to how they manage some of these different risks.

And Fred, in particular, could you talk about China and the U.S. are taking some different approaches? How does the approach of the government affect opportunities in each of these countries?

And then I’ll open it up to the rest of you.

Fred Hu

First of all, China is a member of IMF and BIS and FASB. So China actually adopts and embraces and sticks to all the global rules in terms of financial stability and potential regulation. and the Consumer Protection.

But further than that, I think China is still, I would say, where because of tradition, you know, the political system is still, I would say, more strict and more, you know, tighter kind of regulation, not in terms of systemic stability, but also in terms of conduct, you know, behavior, even products, specific products, you know, all need kind of approval by central bank and the regulators, like all CSRC, the security regulators.

So generally, also financial regulation in China is stricter, you know, tighter than US, US is still quintessential capitalist, you know, there are always good regulations, but generally give market participants, financial institutions, a lot more leeway, a lot more autonomy.

So China is very, very strict, yeah. But the surprise, though, is even with that kind of very strict regulatory framework and philosophy tradition, you know, it’s still quite amazing, you know, even as China is also on the forefront of, you know, innovation, you know, particularly the fintech.

Kristin J. Forbes

Actually, let me angle that, Steven, you mentioned this important issue of cross-border spillovers. We saw that in the banking crises, just a bank somewhere based in another country, it can affect your country and you may not be able to bill it out or support it. So given some of these spillover risks which you highlighted, do we need some sort of global regulator for some of these issues?

Steven van Rijswijk

I would support that.

Kristin J. Forbes

You would? Okay.

Steven van Rijswijk

So, you know, look, I mean, we are present in 35 countries on the ground, so large parts of Europe and in the US and in Asia as well. So differences in regulation, well, let me put it this way. First of all, if you have the same activities, it would help for societies if you then also have the same regulations.

So activity-based regulation will help. That is currently not the case everywhere. It is improving, but not the case everywhere.

That also means that other financial institutions, not necessarily banks, should then become part of that activity-based regulation. Because if you employ the same activity and generate interaction with customers, that should apply for the same regulation. When we talk about Europe, also there you do see that regulation is not completely harmonized and integrated, and therefore you have some gold plating in several countries, depending on what they see happening and how they want to look at their own banking sector in their particular market.

And it is not confined towards borders, but you know the whole story about Europe. We need to become one. Secondly, but there’s also good things, if I look at MECAR, for example, which is the crypto regulation, and it is enabling blockchain technologies now to become more part of banking, and therefore it is becoming part of the technology stack that we now have in terms of the interaction and the digital way of doing transactions with our clients.

So I think that is good, because that then provides an umbrella under which people can act. When I talk about the AI Act, again, that’s a different side of the coin. If you look at the U.S., AI is very much focused on opportunity and innovation.

If we look at the AI Act in Europe, it’s very much focused on risk management, and there’s nothing wrong with risk management. I think it’s very good. We should keep the system safe.

But if the AI Act only talks about risk management, but not about the strategic positioning that Europe wants to take in AI, we have – it’s reversed. We should start with how do we want to position ourselves, and then how do we protect ourselves? And I think that’s a different approach that people take in different parts of the organization, and that’s what we should change.

And then maybe last but not least, looking at investments, and that’s a particular hobby horse of mine. In Europe, the mantra has always been, also because of the concept of societies, we have big pension funds, employers and employees will contribute to the pension funds, and therefore the pension funds will invest.

You see changing societies and changing demographics of societies, so the number of workers in the market is decreasing. And it means that the pension system from the past can’t hold up anymore and it means that people need to continue to think about how do I invest for the future, for myself, for my children, for my family, for college, et cetera.

And so, therefore, the responsibility put on the individual to invest for the future becomes more and more important. And in that regard, Europe needs to stimulate investments beyond savings much more. In Europe, we have a GDP of about 16 trillion, 12 trillion of that sits in deposits with the banks.

I’m happy with the deposit sitting in the bank, but they don’t really work. And I want them to put them to work. And that’s the mind shift, the set shift that we need to have in Europe to get more people to invest for the future.

Kristin J. Forbes

That’s a nice link to this broader theme of Davos is geopolitics. If you want to be a powerful country in this world of changing geopolitics, having an efficient financial sector and efficient investment is going to be key. Yeah.

Yeah. Anything else? Do either of you want to jump in on this?

Jayee Koffey

And then I’ll open it up to the… So, what I would add is that regulation has to be a force for good for economic growth, market access, and innovation. And when that happens, regulation actually helps to breed adoption.

It helps to actually encourage participation and adds to the trust that the, you know, other sort of participants actually have in the underlying financial ecosystem. And I would say that some of the, you know, the regulatory simplification that we’ve seen in different parts of the world, I think is really, you know, aimed towards fulfilling that objective of really balancing, you know, the sort of the undertaking of being regulated and so on and so forth with what’s actually good for business, what’s actually good for market access and continued faith and trust in the system.

Kristin J. Forbes

Thank you. Suzan Kereere, any quick…

Changpeng Zhao

Yeah. I have a different… Well, I have a different perspective on this issue because we’re sitting in a different industry.

It feels to me, personally, like, you know, the banking industry, the securities industry, the regulations are highly developed, highly mature, and they are highly similar across countries. I know their differences. This is probably a novice person looking at a problem in a very simplistic way.

Whereas for crypto regulations, it’s different, very different in every country right now. And to be honest, well, Binance has like what, 22, 23 licenses all around the world, but the majority of countries don’t have licensing regimes today in the world. And we also see US is progressing very quickly, but it’s in progress, right?

So the market structure, well, the clarity bill, the market structure bill, the genius was passed last year, so six, seven months ago. So this is an in progress thing. We also see many other countries, you know, UAE has adopted fairly forward regulations.

Bahrain, Pakistan, Kenya, we’re glad to be in the consultation process together with them, so they at least talk to industry players. I’m a personal advisor to some of these governments, even though I’m not a regulation expert, but I just tell them from a market player perspective. Also, in this process, there are some key differences in countries’ policies, especially when it comes to capital controls.

Many countries, when you take money out of the country, they have a limit. Above that limit, that becomes money laundering or basically illegal, however you call it. US doesn’t have this issue.

It doesn’t have this control. Taxes are very different in every country. So this kind of affects financial regulations, because, you know, especially if you buy Bitcoin, the price goes up.

Do you pay tax or not on the unrealized gain or realized gain or whatever, right? So we think that obviously more clarity, more consistency will be much, much better, but I don’t think a global regulator will work. Well, it’s possible at this moment.

Different countries have different priorities, different agendas, different considerations. So a global regulator will be quite difficult. We would love to see it, especially if that global regulator can put in a positive regulatory framework that’s relatively pro-innovation.

And that will make the industry players’ job a lot easier. But to be honest, logically, it should be like that, right? Because crypto is the same in every country.

We don’t want to change country to country. So there should be an optimum framework that we should be able to put in. So I’m actually spending a lot of my time trying to figure out what that is and how to work with different countries.

Kristin J. Forbes

That’s great to hear. I agree. Right now is probably not the time to launch a new global international organization, a new global regulatory framework.

It’s a big uphill battle. But that doesn’t mean we shouldn’t start thinking about what it would look like if the opportunity does arrive, especially if we have some sort of crisis, some sort of major financial meltdown. We might want to have some ideas and plans ready to go to put something in place.

What might be easier is regulatory passporting.

Changpeng Zhao

Like once you get a license in one country, a number of other countries recognize that. And that just requires the regulators in different countries to have some kind of agreement. We’ve seen some discussions of that already.

I think that step most likely will happen first. Making a new regulatory body or even a forum, making a global organization is very hard to push down to the execution levels. And it takes time.

Kristin J. Forbes

You know what? I think that’s a very positive way to end. Unfortunately, we aren’t going to have time for questions, but please feel free to grab any of the panelists if you did have any questions.

But I think that’s a great way to end this sort of merger between all this exciting innovation happening. It is a role for probably some regulation, global coordination, but let’s not be too ambitious right now. And I think your proposal is a great path to think about going forward.

So I’ve been asked to summarize this session. We’re out of time, and it’s impossible to summarize all this. But I will just summarize it with one sentence.

What I took from this is AI is part of the exciting opportunity ahead in finance. AI is also going to present some substantial risks in finance, including for banks, just financial markets overall. Regulation is part of the solution.

But again, AI, it could be part of the solution in managing some of these risks. So I think very exciting opportunities, risks going forward, and AI is at the core of all So, thank you very much.

S

Steven van Rijswijk

Speech speed

189 words per minute

Speech length

1931 words

Speech time

611 seconds

AI and GenAI are dramatically improving customer experience, internal processes, and risk management in banking

Explanation

Van Rijswijk argues that while ING has used AI for about a decade with varying results, the new Generative AI technology can dramatically improve customer experience across three layers: internal processes like coding, customer processes like lending and contact centers, and sales/product delivery to customers.


Evidence

ING has 41 million private customers with 85% using mobile as preferred device and 85% of retail sales done through mobile. They’ve been using AI in contact centers and chatbots for a decade.


Major discussion point

Technology Transforming Finance


Topics

Economic | Infrastructure


Agreed with

– Jayee Koffey
– Fred Hu

Agreed on

AI as a transformative force in financial services


Customer experience must drive technology adoption, not the reverse, with careful attention to complex customer journeys

Explanation

Van Rijswijk emphasizes that digital means are just tools to achieve better customer experience, not an end in themselves. He warns that while AI may work well for simple journeys, failures in complex customer interactions can completely undermine trust in an organization.


Evidence

Examples given include simple journeys like opening accounts or making payments versus complex journeys like inheritance processes. Google Glass and metaverse mentioned as examples of technologies that didn’t sustain adoption.


Major discussion point

Innovation Risks and Failures


Topics

Economic | Sociocultural


Agreed with

– Jayee Koffey

Agreed on

Customer trust as fundamental to financial innovation success


Banks must continuously innovate while maintaining customer trust, viewing external pressure and regulation as helpful forces for improvement

Explanation

Van Rijswijk argues that banks have high customer trust and must leverage this while continuously adopting disruptive technologies. He sees external pressure from regulation and competition as beneficial because it forces banks to improve and innovate.


Evidence

ING’s evolution from brick-and-mortar to telephone bank to digital bank to mobile banking. Investments in blockchain-based payment systems like Fnality and JPMorgan’s JPM Coin, and launching stablecoin Aura with other European banks.


Major discussion point

Banking Industry Evolution


Topics

Economic | Legal and regulatory


Disagreed with

– Changpeng Zhao
– Jayee Koffey

Disagreed on

Future of physical banking


Digital technology creates both safer systems through better risk management and greater interconnectedness risks requiring proactive monitoring

Explanation

Van Rijswijk acknowledges that digitalization has improved speed, lowered transaction costs, and enhanced risk management through technologies like blockchain. However, increased interconnectedness means that problems can proliferate rapidly across networks, requiring much more proactive risk management and real-time monitoring.


Evidence

Contrast between past localized branch problems that could be contained versus current networked systems where issues spread rapidly. Mentions importance of compartmentalization of networks and differentiation of cloud systems.


Major discussion point

Financial System Risks and Speed


Topics

Cybersecurity | Infrastructure


Agreed with

– Jayee Koffey
– Fred Hu

Agreed on

Technology creates both opportunities and risks requiring proactive management


Activity-based regulation should be harmonized globally, with Europe needing to balance risk management with strategic AI positioning

Explanation

Van Rijswijk supports global regulatory coordination and argues for activity-based regulation where similar activities face similar rules regardless of institution type. He criticizes Europe’s AI Act for focusing only on risk management without addressing strategic positioning, contrasting it with the US focus on opportunity and innovation.


Evidence

ING operates in 35 countries and faces different regulations. Examples include MiCA crypto regulation in Europe as positive enabling framework, versus AI Act focusing only on risk management rather than strategic positioning.


Major discussion point

Regulatory Frameworks and Global Coordination


Topics

Legal and regulatory | Economic


Agreed with

– Jayee Koffey
– Changpeng Zhao

Agreed on

Need for regulatory clarity and coordination in financial innovation


Disagreed with

– Fred Hu

Disagreed on

Regional regulatory philosophy – US vs Europe on AI


Europe needs to shift from savings to investment mindset, with 12 trillion euros in deposits needing to be put to productive work

Explanation

Van Rijswijk argues that changing demographics mean the traditional pension system cannot hold up, requiring individuals to take more responsibility for investing for their future. He emphasizes that Europe’s 12 trillion euros in bank deposits need to be put to work through investments rather than just sitting as savings.


Evidence

Europe has GDP of 16 trillion euros with 12 trillion sitting in bank deposits. Changing demographics with decreasing number of workers means traditional employer-employee pension contribution model is unsustainable.


Major discussion point

Geopolitics and Financial Innovation


Topics

Economic | Development


J

Jayee Koffey

Speech speed

146 words per minute

Speech length

1036 words

Speech time

425 seconds

Interoperability between public/private markets and on-chain/off-chain systems is key, with AI supercharging all operations

Explanation

Koffey emphasizes that BNY’s focus is on creating interoperability across different market types, technologies, and geographies. She argues that AI acts as a supercharger for all operations and that scale is essential for maximizing innovation benefits.


Evidence

BNY serves clients across over 100 markets, managing trillions of dollars in assets. The bank has a motto of ‘AI for everyone, everywhere and eventually everything’ and is using AI for proactive and real-time risk management.


Major discussion point

Technology Transforming Finance


Topics

Economic | Infrastructure


Agreed with

– Steven van Rijswijk
– Fred Hu

Agreed on

AI as a transformative force in financial services


Trust is the essential ingredient for financial innovation success, determining which technologies will survive long-term

Explanation

Koffey argues that while there may be many components to a perfect financial system, trust is the one essential ingredient. She believes innovations that succeed will be those that can attract and sustain customer trust while serving client needs better than existing alternatives.


Evidence

BNY’s 240+ years of accumulated trust and their approach to evaluating innovation based on whether it helps client experience and builds on existing trust.


Major discussion point

Innovation Risks and Failures


Topics

Economic | Sociocultural


Agreed with

– Steven van Rijswijk

Agreed on

Customer trust as fundamental to financial innovation success


Innovation must be deployed responsibly with client-centricity and trust at the core, building on centuries of accumulated trust

Explanation

Koffey emphasizes that innovation doesn’t have to be limited to digital technologies but can include financial instruments and new ways to access asset classes. The key is responsible innovation that keeps client trust and centricity at the heart of why they innovate.


Evidence

BNY was founded by Alexander Hamilton over 240 years ago, and paper checks were once novel innovations. The bank’s approach to innovation evaluation focuses on client needs and trust sustainability.


Major discussion point

Banking Industry Evolution


Topics

Economic | Legal and regulatory


Disagreed with

– Changpeng Zhao
– Steven van Rijswijk

Disagreed on

Future of physical banking


Real-time risk detection and faster settlements like T+1 are essential mechanisms for managing increased speed and complexity of modern finance

Explanation

Koffey argues that proactive and real-time risk detection must come first, followed by risk mitigation actions. She emphasizes that market structure developments like T+1 settlement, real-time payments, and better collateral management are tangible mechanisms available now to improve risk management.


Evidence

Specific examples include T+1 settlement, real-time payments, central clearing of US government securities, and improved collateral management capabilities that allow real-time movement and valuation.


Major discussion point

Financial System Risks and Speed


Topics

Infrastructure | Legal and regulatory


Agreed with

– Steven van Rijswijk
– Fred Hu

Agreed on

Technology creates both opportunities and risks requiring proactive management


Regulation must be a force for economic growth and innovation, breeding adoption and trust through proper balance

Explanation

Koffey argues that regulation should balance being a force for good for economic growth, market access, and innovation. When regulation achieves this balance, it actually helps breed adoption and encourages participation while adding to trust in the financial ecosystem.


Evidence

References to regulatory simplification seen in different parts of the world that aims to balance regulatory requirements with what’s good for business and market access.


Major discussion point

Regulatory Frameworks and Global Coordination


Topics

Legal and regulatory | Economic


Agreed with

– Steven van Rijswijk
– Changpeng Zhao

Agreed on

Need for regulatory clarity and coordination in financial innovation


F

Fred Hu

Speech speed

142 words per minute

Speech length

1031 words

Speech time

432 seconds

GenAI represents a game-changer for financial services by augmenting human intelligence with super intelligence across the entire value chain

Explanation

Hu argues that financial services, being data-rich, are ripe for AI transformation. He emphasizes that while financial services have historically been at the forefront of technology adoption and rely on smart people, GenAI provides super intelligence that augments human intelligence across all aspects of financial services.


Evidence

Goldman Sachs was reportedly the first Wall Street firm to purchase IBM mainframe directly from Mr. Watson in the late 1940s/early 1950s, showing financial services’ history of early technology adoption.


Major discussion point

Technology Transforming Finance


Topics

Economic | Infrastructure


Agreed with

– Steven van Rijswijk
– Jayee Koffey

Agreed on

AI as a transformative force in financial services


Market and customer adoption will ultimately judge which innovations succeed, though predicting failures is inherently uncertain

Explanation

Hu acknowledges the uncertainty inherent in innovation and technology change, stating he cannot predict what will fail in ten years. He believes the market and customer adoption will be the ultimate judge of which technologies succeed or fail, with some exceeding expectations while others phase out.


Evidence

References to being on the board of ICBC with one billion retail customers, and personal experience of not visiting a physical bank branch for ten years due to digital banking.


Major discussion point

Innovation Risks and Failures


Topics

Economic | Sociocultural


AI presents a double-edged sword for risk management, potentially causing synchronized trading behaviors while also enhancing risk detection capabilities

Explanation

Hu acknowledges that AI could enhance risk management capabilities but also warns of AI-enabled fraud and potential systemic risks from synchronized trading behaviors. He emphasizes the unknown nature of how AI might amplify human behaviors and accelerate transmission of shocks across markets.


Evidence

Examples of potential risks include synchronized trading behavior, amplification of human behavior in AI era, and faster transmission of shocks from currency/bank runs to equity and other markets. Also mentions potential geopolitical events like ‘something happening in Greenland.’


Major discussion point

Financial System Risks and Speed


Topics

Cybersecurity | Economic


Agreed with

– Steven van Rijswijk
– Jayee Koffey

Agreed on

Technology creates both opportunities and risks requiring proactive management


China maintains stricter financial regulation than the US while still fostering fintech innovation within established global frameworks

Explanation

Hu explains that while China adheres to global financial rules through IMF, BIS, and FASB membership, it maintains stricter domestic regulation than the US due to political system and tradition. Despite this stricter regulatory environment, China has still managed to be at the forefront of fintech innovation.


Evidence

China’s membership in IMF, BIS, and FASB, and adherence to global rules on financial stability and consumer protection. Contrast between China’s stricter product approval requirements versus US’s more autonomous approach for market participants.


Major discussion point

Regulatory Frameworks and Global Coordination


Topics

Legal and regulatory | Economic


Disagreed with

– Steven van Rijswijk

Disagreed on

Regional regulatory philosophy – US vs Europe on AI


C

Changpeng Zhao

Speech speed

187 words per minute

Speech length

1708 words

Speech time

546 seconds

Cryptocurrency and blockchain technology have proven staying power over 15 years, with tokenization, payments, and AI integration as emerging opportunities

Explanation

Zhao argues that cryptocurrency has proven it’s not going away over 15-16 years, with Binance being the largest crypto exchange globally. He identifies three emerging opportunities beyond the two proven industries (exchanges and stablecoins): tokenization of government assets, crypto-enabled payments with traditional interfaces, and crypto as the native currency for AI agents.


Evidence

Binance has 300 million users (larger than any bank), trading volume higher than Shanghai and New York Stock Exchanges. Working with dozen governments on tokenization projects. AI agents will use crypto for payments rather than traditional banking methods.


Major discussion point

Technology Transforming Finance


Topics

Economic | Infrastructure


Meme coins and NFTs represent high-risk speculative areas likely to fail, while physical bank branches will significantly decrease

Explanation

Zhao predicts that meme coins, despite some exceptions like Dogecoin, will mostly not last due to their speculative nature and difficulty building use cases. He also boldly predicts that physical bank branches will decrease significantly as digital alternatives become more prevalent.


Evidence

NFTs were hot but are now quiet. Dogecoin has survived 15 years with billions in market cap as an exception. ING pioneered online banking 20-25 years ago, and with eKYC and digital everything, physical bank visits are becoming unnecessary.


Major discussion point

Innovation Risks and Failures


Topics

Economic | Infrastructure


Traditional banks serve important purposes and won’t disappear, but the need for physical banking will decrease significantly

Explanation

While acknowledging that banks serve important purposes and won’t disappear entirely, Zhao argues that the need for physical bank visits will decrease significantly due to digital alternatives and technologies like eKYC. He sees this as a natural evolution similar to other industry transformations.


Evidence

Development of eKYC, digital processes, and online banking capabilities pioneered by institutions like ING 20-25 years ago. The progression from physical to digital banking services.


Major discussion point

Banking Industry Evolution


Topics

Economic | Infrastructure


Disagreed with

– Steven van Rijswijk
– Jayee Koffey

Disagreed on

Future of physical banking


Faster, cheaper technology is inherently better – speed exposes problems faster rather than creating them, as demonstrated by crypto platforms handling massive withdrawals

Explanation

Zhao argues that faster, cheaper technology is always better when everything else stays equal. He contends that speed doesn’t create risk but rather exposes existing problems faster, using the example of how Binance handled $7 billion in withdrawals in one day without issues, compared to traditional banks with fractional reserves.


Evidence

Binance handled $7 billion in withdrawals in one day and $14 billion in one week without issues after FTX collapse. Traditional banks couldn’t handle such withdrawal volumes due to fractional reserve system design.


Major discussion point

Financial System Risks and Speed


Topics

Infrastructure | Economic


Disagreed with

– Kristin J. Forbes

Disagreed on

Speed and risk in financial systems


Crypto regulation varies dramatically by country, with regulatory passporting being a more feasible near-term solution than global regulation

Explanation

Zhao explains that unlike mature banking and securities regulations that are similar across countries, crypto regulation varies dramatically worldwide. He suggests regulatory passporting (license recognition across countries) as a more feasible solution than creating a global regulator, though he would support a global framework if it were pro-innovation.


Evidence

Binance has 22-23 licenses worldwide, but majority of countries lack licensing regimes. Examples of progress in US, UAE, Bahrain, Pakistan, Kenya. Different countries have different capital controls and tax policies affecting crypto regulation.


Major discussion point

Regulatory Frameworks and Global Coordination


Topics

Legal and regulatory | Economic


Agreed with

– Steven van Rijswijk
– Jayee Koffey

Agreed on

Need for regulatory clarity and coordination in financial innovation


Disagreed with

– Steven van Rijswijk

Disagreed on

Approach to global financial regulation


K

Kristin J. Forbes

Speech speed

193 words per minute

Speech length

2282 words

Speech time

709 seconds

Having an efficient financial sector and investment system is key to national power in changing geopolitical landscape

Explanation

Forbes connects the broader theme of Davos regarding geopolitics to financial innovation, arguing that countries wanting to be powerful in a world of changing geopolitics need efficient financial sectors and efficient investment systems.


Evidence

Reference to the broader Davos themes of geopolitics and the need for countries to maintain power and influence in changing global dynamics.


Major discussion point

Geopolitics and Financial Innovation


Topics

Economic | Development


Agreements

Agreement points

AI as a transformative force in financial services

Speakers

– Steven van Rijswijk
– Jayee Koffey
– Fred Hu

Arguments

AI and GenAI are dramatically improving customer experience, internal processes, and risk management in banking


Interoperability between public/private markets and on-chain/off-chain systems is key, with AI supercharging all operations


GenAI represents a game-changer for financial services by augmenting human intelligence with super intelligence across the entire value chain


Summary

All three traditional financial sector representatives agree that AI, particularly Generative AI, is fundamentally transforming financial services by enhancing customer experience, operational efficiency, and risk management capabilities across the entire value chain.


Topics

Economic | Infrastructure


Customer trust as fundamental to financial innovation success

Speakers

– Steven van Rijswijk
– Jayee Koffey

Arguments

Customer experience must drive technology adoption, not the reverse, with careful attention to complex customer journeys


Trust is the essential ingredient for financial innovation success, determining which technologies will survive long-term


Summary

Both banking representatives emphasize that customer trust and experience must be at the center of any technological innovation, with technology serving as a means to improve customer outcomes rather than an end in itself.


Topics

Economic | Sociocultural


Need for regulatory clarity and coordination in financial innovation

Speakers

– Steven van Rijswijk
– Jayee Koffey
– Changpeng Zhao

Arguments

Activity-based regulation should be harmonized globally, with Europe needing to balance risk management with strategic AI positioning


Regulation must be a force for economic growth and innovation, breeding adoption and trust through proper balance


Crypto regulation varies dramatically by country, with regulatory passporting being a more feasible near-term solution than global regulation


Summary

All speakers agree that clearer, more coordinated regulation is needed to support innovation while managing risks, though they differ on the specific mechanisms and scope of such coordination.


Topics

Legal and regulatory | Economic


Technology creates both opportunities and risks requiring proactive management

Speakers

– Steven van Rijswijk
– Jayee Koffey
– Fred Hu

Arguments

Digital technology creates both safer systems through better risk management and greater interconnectedness risks requiring proactive monitoring


Real-time risk detection and faster settlements like T+1 are essential mechanisms for managing increased speed and complexity of modern finance


AI presents a double-edged sword for risk management, potentially causing synchronized trading behaviors while also enhancing risk detection capabilities


Summary

Traditional financial sector representatives unanimously acknowledge that while technology offers significant benefits, it also creates new risks that require sophisticated, proactive risk management approaches.


Topics

Cybersecurity | Infrastructure | Economic


Similar viewpoints

Both speakers see the evolution of banking as a natural progression driven by technology, with traditional banks needing to adapt and innovate while maintaining their core functions, though physical presence will diminish.

Speakers

– Steven van Rijswijk
– Changpeng Zhao

Arguments

Banks must continuously innovate while maintaining customer trust, viewing external pressure and regulation as helpful forces for improvement


Traditional banks serve important purposes and won’t disappear, but the need for physical banking will decrease significantly


Topics

Economic | Infrastructure


Both emphasize that market forces and customer needs will determine successful innovations, with a focus on responsible deployment and maintaining institutional trust built over time.

Speakers

– Fred Hu
– Jayee Koffey

Arguments

Market and customer adoption will ultimately judge which innovations succeed, though predicting failures is inherently uncertain


Innovation must be deployed responsibly with client-centricity and trust at the core, building on centuries of accumulated trust


Topics

Economic | Sociocultural


Unexpected consensus

Support for global regulatory coordination despite different industry perspectives

Speakers

– Steven van Rijswijk
– Changpeng Zhao

Arguments

Activity-based regulation should be harmonized globally, with Europe needing to balance risk management with strategic AI positioning


Crypto regulation varies dramatically by country, with regulatory passporting being a more feasible near-term solution than global regulation


Explanation

Despite representing traditional banking versus cryptocurrency sectors, both speakers support increased regulatory coordination globally, though they propose different mechanisms. This consensus is unexpected given the typically adversarial relationship between traditional finance and crypto sectors.


Topics

Legal and regulatory | Economic


Acknowledgment of physical banking decline from traditional banker

Speakers

– Steven van Rijswijk
– Changpeng Zhao

Arguments

Banks must continuously innovate while maintaining customer trust, viewing external pressure and regulation as helpful forces for improvement


Traditional banks serve important purposes and won’t disappear, but the need for physical banking will decrease significantly


Explanation

The traditional banker (van Rijswijk) essentially agrees with the crypto CEO’s prediction about the decline of physical banking, which is unexpected as it represents a traditional financial institution leader acknowledging the disruptive impact of digital alternatives.


Topics

Economic | Infrastructure


Overall assessment

Summary

The speakers demonstrated remarkable consensus on key issues including AI’s transformative potential, the importance of customer trust, the need for regulatory clarity, and the dual nature of technological risks and opportunities. Even across traditional finance and cryptocurrency sectors, there was agreement on fundamental principles.


Consensus level

High level of consensus with significant implications for the financial sector’s future. The agreement across different sectors and regions suggests these trends are likely to accelerate, with collaboration rather than competition being the dominant theme. This consensus indicates that the financial industry is moving toward convergence on key technological and regulatory principles, which could facilitate smoother adoption of innovations and more effective risk management across the global financial system.


Differences

Different viewpoints

Speed and risk in financial systems

Speakers

– Changpeng Zhao
– Kristin J. Forbes

Arguments

Faster, cheaper technology is inherently better – speed exposes problems faster rather than creating them, as demonstrated by crypto platforms handling massive withdrawals


Financial markets now face increased risks due to speed – things happen much faster with potential for more volatility and herding behavior


Summary

Zhao argues that faster technology is always better and merely exposes existing problems quicker, while Forbes emphasizes that speed itself creates new systemic risks and vulnerabilities in financial markets


Topics

Infrastructure | Economic


Future of physical banking

Speakers

– Changpeng Zhao
– Steven van Rijswijk
– Jayee Koffey

Arguments

Traditional banks serve important purposes and won’t disappear, but the need for physical banking will decrease significantly


Banks must continuously innovate while maintaining customer trust, viewing external pressure and regulation as helpful forces for improvement


Innovation must be deployed responsibly with client-centricity and trust at the core, building on centuries of accumulated trust


Summary

Zhao boldly predicts significant decrease in physical banking, while van Rijswijk and Koffey emphasize evolution and adaptation of traditional banking rather than decline


Topics

Economic | Infrastructure


Approach to global financial regulation

Speakers

– Steven van Rijswijk
– Changpeng Zhao

Arguments

Activity-based regulation should be harmonized globally, with Europe needing to balance risk management with strategic AI positioning


Crypto regulation varies dramatically by country, with regulatory passporting being a more feasible near-term solution than global regulation


Summary

Van Rijswijk supports global regulatory coordination and harmonization, while Zhao sees global regulation as impractical and prefers regulatory passporting as a more feasible approach


Topics

Legal and regulatory | Economic


Regional regulatory philosophy – US vs Europe on AI

Speakers

– Steven van Rijswijk
– Fred Hu

Arguments

Activity-based regulation should be harmonized globally, with Europe needing to balance risk management with strategic AI positioning


China maintains stricter financial regulation than the US while still fostering fintech innovation within established global frameworks


Summary

Van Rijswijk criticizes Europe’s risk-focused approach to AI regulation compared to US opportunity-focused approach, while Hu describes China’s strict but innovation-enabling regulatory framework


Topics

Legal and regulatory | Economic


Unexpected differences

Fundamental nature of speed-related financial risks

Speakers

– Changpeng Zhao
– Kristin J. Forbes

Arguments

Faster, cheaper technology is inherently better – speed exposes problems faster rather than creating them, as demonstrated by crypto platforms handling massive withdrawals


Financial markets now face increased risks due to speed with examples like SVB bank run happening much faster than historical precedents


Explanation

This disagreement is unexpected because it represents a fundamental philosophical difference about whether technological speed creates new risks or merely reveals existing ones. Zhao’s crypto industry perspective contrasts sharply with Forbes’ macroeconomic view of systemic risk


Topics

Infrastructure | Economic


Optimism vs caution about innovation failures

Speakers

– Fred Hu
– Changpeng Zhao

Arguments

Market and customer adoption will ultimately judge which innovations succeed, though predicting failures is inherently uncertain


Meme coins and NFTs represent high-risk speculative areas likely to fail, while physical bank branches will significantly decrease


Explanation

Unexpected because Hu, from traditional finance, shows more uncertainty about predicting failures while Zhao, from crypto industry, makes bold specific predictions about what will fail, including criticizing parts of his own industry


Topics

Economic | Sociocultural


Overall assessment

Summary

The panel showed moderate disagreement on implementation approaches and risk assessment, with strongest disagreements on the fundamental nature of speed-related risks and the future of traditional banking institutions


Disagreement level

Moderate disagreement with significant implications – while speakers agreed on the transformative potential of AI and need for innovation, their different perspectives on risk management, regulatory approaches, and the pace of change could lead to very different policy and business strategies in the financial sector


Partial agreements

Partial agreements

Similar viewpoints

Both speakers see the evolution of banking as a natural progression driven by technology, with traditional banks needing to adapt and innovate while maintaining their core functions, though physical presence will diminish.

Speakers

– Steven van Rijswijk
– Changpeng Zhao

Arguments

Banks must continuously innovate while maintaining customer trust, viewing external pressure and regulation as helpful forces for improvement


Traditional banks serve important purposes and won’t disappear, but the need for physical banking will decrease significantly


Topics

Economic | Infrastructure


Both emphasize that market forces and customer needs will determine successful innovations, with a focus on responsible deployment and maintaining institutional trust built over time.

Speakers

– Fred Hu
– Jayee Koffey

Arguments

Market and customer adoption will ultimately judge which innovations succeed, though predicting failures is inherently uncertain


Innovation must be deployed responsibly with client-centricity and trust at the core, building on centuries of accumulated trust


Topics

Economic | Sociocultural


Takeaways

Key takeaways

AI and GenAI are transforming finance across customer experience, risk management, and operational efficiency, representing a game-changing technology that augments human intelligence


Trust remains the essential ingredient for successful financial innovation – technologies that fail to maintain customer trust will not survive long-term


The speed of financial transactions and market movements has dramatically increased, requiring real-time risk detection and proactive monitoring systems


Traditional banking will evolve significantly with decreased need for physical branches, but banks won’t disappear as they serve important purposes


Cryptocurrency and blockchain technology have proven staying power over 15 years, with tokenization, payments integration, and AI agent compatibility as emerging opportunities


Regulatory frameworks vary significantly across countries, particularly for crypto, creating challenges for global financial innovation


Europe needs to shift from a savings-focused to investment-focused mindset to remain competitive in the changing geopolitical landscape


Financial innovation presents both tremendous opportunities and substantial risks that must be managed through responsible deployment and proper regulation


Resolutions and action items

Regulatory passporting (mutual recognition of licenses across countries) identified as a more feasible near-term solution than creating global regulatory bodies


Need for activity-based regulation that applies the same rules to the same financial activities regardless of institution type


Banks should continue investing in AI and blockchain technologies while maintaining customer trust as the core principle


Financial institutions should focus on real-time risk detection and faster settlement systems like T+1 to manage increased transaction speeds


Europe should develop policies that encourage investment over savings to put the 12 trillion euros in deposits to productive work


Unresolved issues

How to effectively create global coordination for financial regulation without establishing new international organizations


Whether AI will ultimately create more systemic risks through synchronized trading behaviors than it prevents through better risk management


The long-term viability of cryptocurrency payments adoption, which has struggled to gain traction despite technological capabilities


How to balance innovation-focused regulation (like in the US) with risk-management focused regulation (like in Europe)


The optimal framework for crypto regulation that could work across different countries with varying capital controls and tax policies


How traditional banks will adapt their business models as physical banking needs decrease significantly


Whether current financial infrastructure can handle the increased speed and interconnectedness without creating new systemic vulnerabilities


Suggested compromises

Regulatory passporting as an intermediate step toward global regulatory coordination – allowing licenses from one country to be recognized by others through bilateral agreements


Activity-based regulation that focuses on what financial services do rather than what type of institution provides them


Balancing AI regulation between opportunity/innovation focus and risk management by starting with strategic positioning before implementing protective measures


Using AI both as a tool for innovation and as a solution for managing the risks that AI itself creates in financial markets


Gradual transition from physical to digital banking while maintaining human oversight for complex customer journeys


Collaborative approach between traditional financial institutions and fintech/crypto companies rather than viewing them as competitors


Thought provoking comments

Forbes’ opening observation about ‘two separate conversations happening here’ – one about depressing geopolitics/macroeconomics and another about exciting AI/innovation, and the panel’s goal to ‘merge these different discussions’

Speaker

Kristin J. Forbes


Reason

This framing was insightful because it identified a fundamental disconnect in how people think about technological progress versus systemic risks. It set up the entire discussion to bridge optimistic innovation narratives with realistic concerns about financial stability and regulation.


Impact

This comment established the intellectual framework for the entire panel, forcing participants to consider both opportunities and risks simultaneously rather than focusing solely on either innovation benefits or regulatory concerns. It elevated the discussion beyond typical tech enthusiasm to a more nuanced analysis.


CZ’s blunt prediction that ‘brick and mortar banks will decrease significantly over the next 10 years’ and his willingness to ‘offend more people’ with direct answers about what will fail

Speaker

Changpeng Zhao (CZ)


Reason

This was provocative because it directly challenged the business models of traditional financial institutions represented on the panel. CZ’s candor about industry failures (memes, NFTs, payment adoption challenges) provided a reality check against typical conference optimism.


Impact

This comment forced the traditional bankers (Steven and Jayee) to defend their relevance and articulate how they’re adapting. It shifted the conversation from abstract innovation discussion to concrete competitive threats, leading to more substantive responses about trust, customer experience, and the evolution of banking services.


Forbes’ SVB analysis comparing modern bank runs (1-2 days, 80-90% deposit loss) to 2008 crisis bank runs (2-3 weeks, 10-15% deposit loss), attributing the speed increase to basic digital capabilities rather than advanced AI

Speaker

Kristin J. Forbes


Reason

This was a crucial insight because it demonstrated that even ‘old’ technology (online banking, social media) has already fundamentally altered financial system dynamics. It grounded the AI discussion in concrete evidence of how digitization creates systemic risks.


Impact

This observation shifted the entire panel from theoretical future risks to present realities, forcing participants to grapple with how current innovations might amplify existing vulnerabilities. It led to more sophisticated discussions about risk management, settlement systems, and the double-edged nature of technological progress.


CZ’s reframing of the SVB collapse: ‘making it slower doesn’t solve that problem. It just makes it just means more consumers couldn’t withdraw when they want to withdraw, so they’re stuck’ and his example of Binance handling $7 billion in withdrawals in one day

Speaker

Changpeng Zhao (CZ)


Reason

This comment was intellectually provocative because it challenged the conventional wisdom that speed inherently creates risk. Instead, CZ argued that speed exposes existing structural problems (fractional reserves) rather than creating new ones, and that full reserves can handle rapid withdrawals.


Impact

This reframing forced the discussion to examine fundamental assumptions about banking system design versus technological capabilities. It elevated the conversation from ‘how do we slow things down’ to ‘how do we build more robust systems,’ leading to deeper analysis of systemic architecture rather than just technological controls.


Steven van Rijswijk’s observation about European AI regulation: ‘If you look at the U.S., AI is very much focused on opportunity and innovation. If we look at the AI Act in Europe, it’s very much focused on risk management… We should start with how do we want to position ourselves, and then how do we protect ourselves’

Speaker

Steven van Rijswijk


Reason

This insight highlighted a fundamental philosophical divide in regulatory approaches that could determine competitive positioning in the global financial system. It connected innovation policy to geopolitical competitiveness in a concrete way.


Impact

This comment bridged the panel’s opening theme about merging geopolitical and innovation discussions. It led to broader consideration of how regulatory frameworks shape national competitive advantages and sparked discussion about the need for global coordination while acknowledging different national priorities.


Jayee’s emphasis on ‘trust’ as the essential ingredient in financial systems and the criterion for which innovations will survive: ‘innovations that fail or new technologies that 10 years from now look like hype… the ones that do do well and survive… are going to be the ones who can really hold on to customer trust’

Speaker

Jayee Koffey


Reason

This comment was insightful because it cut through technological complexity to identify the fundamental human element that determines adoption. It provided a simple but powerful framework for evaluating innovations beyond their technical capabilities.


Impact

This observation became a recurring theme that other panelists referenced, providing a unifying principle for evaluating both opportunities and risks. It helped ground the discussion in practical considerations about what actually drives financial system adoption and stability.


Overall assessment

These key comments transformed what could have been a typical ‘innovation showcase’ into a sophisticated analysis of systemic change in finance. Forbes’ opening framework forced integration of optimistic and pessimistic perspectives throughout. CZ’s provocative challenges to conventional wisdom pushed other participants to defend and refine their positions, leading to more substantive insights. The SVB analysis provided concrete evidence that grounded theoretical discussions in observable reality. Together, these interventions created a discussion that successfully bridged the ‘two separate conversations’ Forbes identified at the start – connecting innovation excitement with geopolitical and systemic concerns. The result was a more nuanced understanding of how technological change interacts with regulatory frameworks, competitive dynamics, and fundamental questions of trust and system design.


Follow-up questions

How can we make our customers’ lives easier through AI implementation?

Speaker

Steven van Rijswijk


Explanation

This is a core strategic question for banks implementing AI technology to improve customer experience across different service layers


How can AI improve proactive as well as real-time risk management?

Speaker

Jayee Koffey


Explanation

Critical for financial institutions to understand how AI can enhance risk management capabilities given increasing velocity and complexity of financial markets


To what extent will crypto coins be used in the payment space versus blockchain technology?

Speaker

Steven van Rijswijk


Explanation

Important distinction for banks to understand as they experiment with stablecoins and blockchain while remaining uncertain about crypto payments


How will AI agents use crypto as their native currency for payments?

Speaker

Changpeng Zhao


Explanation

Explores the convergence of AI and cryptocurrency technologies and their potential impact on future payment systems


What are the implications of synchronized trading behavior and amplification of human behavior in the AI era for systemic risk?

Speaker

Fred Hu


Explanation

Critical for understanding potential systemic financial risks as AI becomes more prevalent in trading and financial decision-making


How can central banks and policy makers use AI as an early warning system to detect emerging risks?

Speaker

Fred Hu


Explanation

Important for regulatory authorities to stay ahead of AI-enabled risks and maintain financial stability


Do we need some sort of global regulator for cross-border financial spillover risks?

Speaker

Kristin J. Forbes


Explanation

Addresses the challenge of managing financial risks that transcend national borders in an interconnected digital financial system


What would an optimal global regulatory framework for cryptocurrency look like?

Speaker

Changpeng Zhao


Explanation

Important for developing consistent international standards for cryptocurrency regulation across different jurisdictions


How can regulatory passporting work for cryptocurrency licenses across countries?

Speaker

Changpeng Zhao


Explanation

Practical approach to international regulatory coordination that could facilitate cross-border crypto operations


How can Europe better position itself strategically in AI while managing risks?

Speaker

Steven van Rijswijk


Explanation

Critical for European competitiveness to balance innovation opportunities with risk management in AI development


How can Europe shift from savings to investment mindset to put the 12 trillion euros in deposits to work?

Speaker

Steven van Rijswijk


Explanation

Important economic policy question about mobilizing capital for growth and addressing demographic challenges in Europe


Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.