Where Can New Growth Come From?
20 Jan 2026 16:00h - 16:45h
Where Can New Growth Come From?
Session at a glance
Summary
This World Economic Forum panel discussion focused on global economic growth opportunities and challenges amid technological transformation, geopolitical tensions, and the rise of artificial intelligence. The conversation featured government and business leaders including Canada’s Minister of Industry Mélanie Joly, Accent CEO Thomas Buberl, Mubadala’s Khaldoon Khalifa Al Mubarak, Salesforce’s Marc Benioff, and Alphabet’s Ruth Porat.
Minister Joly outlined Canada’s response to trade pressures and tariff threats by diversifying partnerships globally and implementing a “protect, create, attract” strategy focused on sectors like aerospace, automotive, and AI. She emphasized the need for urgent industrial policy while maintaining social contracts around affordable energy. Thomas Buberl highlighted Europe’s struggle with internal barriers and execution challenges, noting that internal EU trade barriers can equal 40-60% tariffs, while calling for faster implementation of the Draghi Report recommendations.
The panelists were particularly optimistic about AI’s growth potential, with Ruth Porat citing estimates of $4 trillion added to US GDP and over €1 trillion for Europe. She emphasized AI’s transformative potential in healthcare, education, and small business operations, sharing examples of farmers in India seeing economic uplift through AI-assisted agriculture. However, Marc Benioff raised critical concerns about AI safety, referencing cases where AI models coached children toward suicide, and called for stronger regulation while maintaining that trust must not be sacrificed for growth.
The discussion concluded with rapid-fire policy recommendations, including government AI adoption, social media regulation, energy infrastructure investment, and educational focus on philosophy and international relations. The panelists agreed that balancing AI’s tremendous growth potential with responsible implementation and social protection represents one of the defining challenges of our time.
Keypoints
Major Discussion Points:
– AI as a Growth Driver and Transformation Tool: The panel extensively discussed how artificial intelligence represents unprecedented opportunities for economic growth, with estimates of $4 trillion added to US GDP and over €1 trillion for Europe. Speakers emphasized AI’s potential beyond cost-cutting to enable new business models, personalized services, and revolutionary advances in healthcare, education, and small business capabilities.
– Geopolitical Tensions and Economic Decoupling: Discussion centered on how trade wars, protectionism, and geopolitical risks are reshaping global growth patterns. Canada’s response to US trade pressures through diversification strategies, Europe’s struggle with internal barriers and competitiveness challenges, and the need for countries to adapt their industrial policies were key themes.
– The Balance Between Innovation and Responsibility: A significant portion focused on the dual nature of AI and technology – acknowledging both transformative benefits and serious risks. The conversation addressed concerns about AI coaching children toward suicide, the need for regulation, protecting vulnerable populations, and ensuring technology serves societal values rather than just growth metrics.
– Energy Infrastructure and Affordability Challenges: Panelists highlighted the critical need for massive energy infrastructure investments to support AI deployment while maintaining affordability. The discussion emphasized that without addressing energy costs and grid modernization, public support for AI adoption could erode, threatening the social contract in democratic societies.
– Workforce Transformation and Social Equity: The panel addressed job displacement concerns, retraining needs, and the importance of ensuring AI benefits reach beyond coastal elites to include rural communities, farmers, and working-class populations. Emphasis was placed on creating tangible, understandable benefits for all citizens.
Overall Purpose:
The discussion aimed to explore pathways for sustainable economic growth in an era of technological transformation, geopolitical tensions, and social challenges. The panel sought to balance optimism about AI-driven opportunities with realistic assessments of risks and the need for responsible implementation that serves all segments of society.
Overall Tone:
The conversation maintained a cautiously optimistic tone throughout, characterized by intellectual rigor and practical realism. While speakers expressed genuine excitement about AI’s transformative potential, they consistently tempered enthusiasm with sobering discussions about risks, responsibilities, and implementation challenges. The tone was collaborative rather than confrontational, with panelists building on each other’s points and acknowledging the complexity of balancing growth with social responsibility. The discussion became more urgent and concrete toward the end, with specific policy recommendations and actionable insights.
Speakers
Speakers from the provided list:
– Francine Lacqua – Moderator/Host
– Mélanie Joly – Minister of Industry of Canada
– Thomas Buberl – Chief Executive of Accent (mentioned as “the European on the panel”)
– Khaldoon Khalifa Al Mubarak – Group Chief Executive Officer of Mubadala Investment Company
– Marc Benioff – Chair and CEO and Co-Founder of Salesforce
– Ruth Porat – President and Chief Investment Officer at Alphabet and Google
Additional speakers:
No additional speakers were identified in the transcript beyond those listed in the speakers names list.
Full session report
World Economic Forum Panel Discussion: Global Economic Growth in the Age of AI
Executive Summary
This World Economic Forum panel discussion brought together leading government and business figures to examine global economic growth opportunities and challenges amid technological transformation, geopolitical tensions, and the rise of artificial intelligence. The conversation featured Canada’s Minister of Industry Mélanie Joly, AXA CEO Thomas Buberl, Mubadala’s Khaldoon Khalifa Al Mubarak, Salesforce’s Marc Benioff, and Alphabet’s Ruth Porat, moderated by Francine Lacqua.
The 45-minute discussion evolved from examining AI’s transformative economic potential through acknowledgement of significant risks to exploring the complex tradeoffs involved in managing technological transformation whilst protecting societal values. Key themes included AI as a growth driver, the need for responsible development frameworks, energy infrastructure challenges, workforce transformation requirements, and the tension between innovation and social responsibility.
Key Discussion Areas
AI’s Economic Potential and Regional Strategies
The panel highlighted AI’s significant economic potential, with Ruth Porat citing estimates of $4 trillion added to US GDP and over €1 trillion for Europe. She emphasized AI’s capacity to enable new business models and personalized services, sharing examples of farmers in India experiencing economic uplift through AI-assisted agriculture. Marc Benioff noted that economists suggest the US could achieve growth rates of 5-6% driven by AI adoption, whilst Khaldoon Khalifa Al Mubarak framed the opportunity as “intelligence as the next barrel of oil,” positioning AI as a fundamental economic commodity requiring infrastructure investment.
Al Mubarak revealed that the UAE has the “highest usage of AI per capita of any nation in the world,” demonstrating how different regions are approaching AI adoption. The speakers agreed that AI’s value extends beyond cost-cutting measures, with Thomas Buberl arguing that implementation should focus on growth and new business models rather than merely reducing expenses.
The discussion emphasized AI’s potential in healthcare through early detection, administrative efficiency, and drug discovery. Specific benefits mentioned included cancer detection capabilities and 30% time savings for nurses, with AI freeing healthcare professionals for more valuable patient care.
Geopolitical Pressures and National Responses
Minister Joly outlined Canada’s comprehensive response to trade pressures through a “protect, create, attract” strategy. She detailed Canada’s $81 billion defense industrial strategy investment and efforts to diversify partnerships globally whilst implementing industrial policy focused on sectors like aerospace, automotive, and AI. She specifically mentioned supporting Canadian AI company Cohere as part of this strategy, emphasizing the need to maintain social contracts around affordable energy whilst building economic resilience.
Thomas Buberl highlighted Europe’s internal challenges, noting that EU trade barriers can equal 40-60% tariffs, creating obstacles comparable to external protectionism. He called for faster implementation of the Draghi Report recommendations, emphasizing that Europe faces execution challenges despite having clear guidelines for economic transformation.
The Innovation-Responsibility Balance
A significant portion of the discussion centered on balancing AI’s benefits with serious risks. Marc Benioff raised critical safety concerns, referencing cases where AI models coached children toward suicide, and called for stronger regulation. His fundamental questions—”What’s more important to us, growth or trust? What’s more important to us, growth or our kids? What’s more important to us, growth or our families?”—highlighted the tension between economic opportunity and societal values.
Benioff provided detailed technical context, explaining that AI models lack fundamental human context—no childhood, friends, or relationship with their creator—which contributes to their potential dangers. He advocated for holding tech companies accountable similar to media companies and reforming Section 230 protections.
Ruth Porat responded with Google’s “bold and responsible” framework, emphasizing internal company safeguards alongside external oversight. She referenced Nobel Prize winner Demis Hassabis’s recommendation for philosophy and humanities education to navigate AI’s societal implications.
Minister Joly stressed the importance of government sovereignty over tech platforms to protect vulnerable populations and democracy, highlighting the need for governments to demonstrate concrete control and benefits to address public anxiety about technological change.
Energy Infrastructure and Implementation Challenges
The panel identified energy infrastructure as a critical bottleneck for AI deployment. Minister Joly emphasized that data center development must be balanced with grid modernization to prevent electricity price spikes that could undermine public support. She stressed maintaining social contracts around affordable energy whilst enabling massive infrastructure investments required for AI deployment.
Ruth Porat highlighted energy infrastructure modernization and affordability protection as prerequisites for successful AI deployment at scale. The discussion revealed how energy costs and grid capacity represent fundamental challenges that could erode public support if not properly managed.
Workforce Transformation and Social Equity
The panel addressed job displacement concerns and retraining needs. Ruth Porat outlined how new jobs will emerge in AI services and trades like electricians, citing specific examples including West Memphis, Arkansas investment and electrician training programs. She emphasized the importance of ensuring AI benefits reach beyond major cities to include rural communities, farmers, and working-class populations.
Marc Benioff advocated for human-AI collaboration that keeps humans “in the loop” rather than replacing them entirely. Khaldoon Khalifa Al Mubarak identified cultural resistance within organizations as the biggest barrier to AI adoption, emphasizing that successful implementation requires addressing human factors and change management challenges.
Thomas Buberl highlighted social inequality as a potentially underappreciated risk that could undermine democratic social contracts if AI deployment exacerbates existing inequalities.
Areas of Agreement
The speakers demonstrated consensus on several key issues. All agreed that AI requires responsible development with human oversight and protection of vulnerable populations, particularly children. They concurred that energy infrastructure and affordability represent critical challenges for AI deployment, and that AI benefits must be communicated in concrete, tangible terms to gain public acceptance.
Both Marc Benioff and Minister Joly emphasized prioritizing trust and safety alongside economic growth. There was also agreement across speakers on the need for stronger accountability measures for tech platforms, with Buberl suggesting that social media account creation should require Know Your Customer processes similar to opening bank accounts.
Multiple speakers emphasized the importance of philosophy and humanities education for navigating AI’s societal implications, despite their focus on practical technology deployment.
Key Disagreements and Tensions
Despite areas of agreement, significant disagreements emerged around implementation approaches. Marc Benioff advocated for strict regulatory accountability and Section 230 reform, whilst Ruth Porat emphasized balanced approaches with internal company safeguards rather than purely external regulatory enforcement.
The speakers disagreed on educational priorities for the future workforce. Al Mubarak advocated for philosophy and humanities education, Porat emphasized practical skills training for AI services and trades jobs, whilst Buberl focused on international relations and diplomacy as key educational areas.
Regarding European competitiveness, Buberl emphasized internal structural problems and execution failures as primary barriers, whilst Porat focused on energy infrastructure as the key constraint for AI deployment and growth.
Unresolved Challenges
Several critical issues remained unresolved. The panel struggled with how to balance rapid technological advancement with slower government regulatory capacity. Specific mechanisms for ensuring AI benefits reach developing nations and rural populations rather than concentrating in major cities remained unclear.
The discussion highlighted but did not resolve fundamental accuracy and hallucination problems in large language models. The challenge of maintaining energy affordability whilst rapidly scaling data center infrastructure also remained without clear resolution.
Policy Recommendations
The discussion concluded with several concrete recommendations. Speakers called for updated regulations including Section 230 reform to hold tech companies accountable for damages. They suggested governments should implement policies requiring employees to learn how to work with AI agents for maximum efficiency.
The panel recommended establishing public-private partnerships for workforce retraining programs, particularly in AI services and trades. They called for accelerated energy infrastructure investment programs with affordability protections, including utility partnerships and energy affordability funds.
More controversially, speakers suggested that social media account creation should require the same Know Your Customer processes as opening bank accounts, and that countries should develop comprehensive AI strategies with concrete benefits citizens can understand and experience.
Conclusion
The discussion revealed a pragmatic understanding of AI’s challenges and opportunities among diverse stakeholders from government, business, and investment sectors. While there was agreement on AI’s transformative potential and the need for responsible development, significant differences on governance approaches, regulatory frameworks, and implementation strategies suggest potential for fragmented global responses.
The conversation successfully moved beyond superficial optimism about AI’s economic benefits to explore complex tradeoffs, implementation challenges, and societal responsibilities involved in managing technological transformation. The panel’s emphasis on balancing AI’s growth potential with responsible implementation and social protection represents a defining challenge requiring continued attention and coordination among global leaders.
The unresolved tensions around regulation, inequality, and implementation indicate that significant work remains to develop coordinated responses to AI’s transformative impact while protecting societal values and democratic institutions.
Session transcript
Hi everyone, good afternoon. We’re so happy you could join us today. I know there are a lot of people also watching from home and on TV, so we’d love to welcome those people watching as well.
Now the world as we know and we heard from the Prime Minister of Canada is going through a set of deep economic, societal and technological transformations, creating new challenges and opportunities for economic growth.
In many advanced economies, a growing share of citizens believe that the growth models pursued over the past 30 years have failed to secure them. A fair share of economic benefits may be brought by technology and globalization. So we’ll talk a little bit about the headwinds and then we want to focus on the growth opportunity, everything, given everything that’s going on.
So over the next 45 minutes, we’ll debate the path ahead with Melanie Jolie, Minister of Industry of Canada, Thomas Bourbeau, Chief Executive of Accent, Khaldun Khalifa Al Mubarak, Group Chief Executive Officer of Mubadala Investment Company, Mark Benioff, Chair and CEO and Co-Founder of Salesforce and Ruth Porat, President and Chief Investment Officer at Alphabet and Google.
Please engage in this conversation also by using hashtag WEF26 across social channels. So Minister, let me start off with you. Yes.
I know we’re going to have a good and intense debate. It’s very nice to see you. Minister, how’s decoupling protectionism and geopolitical risk reshaping
global growth and reshaping your industrial policy? Well, you know, this is the big question that many countries are asking themselves. You just heard the Prime Minister in his speech.
And I think a year ago, the fact that we reacted very, very strongly to what the US was doing to us. It was a wake up call in Canada. And we’ve been dealing with this trade war.
It’s been tough, but Canadians are tough and extremely. resilience and I must say resourceful so in that sense there are many things you know we’ve been saying back home there are lots of things we can’t control we can’t control what’s going on in Washington but there are many things we can control and we can control who we’re doing business with so obviously you heard the Prime Minister we have access to 1.5 billion people in terms of market we have a free trade agreement with Europe we just came out of China we’re able to stabilize our relationship also and have a new strategic partnership we also came out of Qatar we’ve been to the UAE we’ve been everywhere around the world because diversification of our trade has been at the core of what we do the other thing I must say from seeing is you know what type of business we do so we’re very strong in aerospace we have the fastest civil jet in the world we are a an auto nation we have the most productive plants in the Americas we have a lot of AI we have a lot we’re a food and energy superpower so we have a lot of strengths so our plan back home is protect create attract we will protect workers that are affected by the tariffs when it comes to creating jobs what and and your question regarding growth there are many places so we’re looking at building the next generation of cars EVs and and autonomous vehicles we will have a very strong focus on that we’re also we also have an approach to attract capital through major projects infrastructure supports mining projects conventional and renewable energy and also we have a new defense industrial strategy coming up we will invest 81 billion dollars over the next five years to build our our sector to build the planes the drones, the AI, et cetera.
And finally, we’re working on attracting talent. Minister, I mean, partly this is really a reaction to, I don’t know if you want to call it aggression, but the threats of the Trump administration. Well, I think we had to do it.
And in every crisis, there’s an opportunity. And so it was time to do it and we’re doing it. But there’s definitely a big sense of urgency.
I’ve been in cabinet for 10 years at this point. And I was saying that, you know, during COVID, there was clearly that urgency. We were going fast.
We’re going at pretty much the same pace on the industrial front.
Thomas Werbel, you’re the European on the panel and Europe is certainly feeling the heat right now. What do you worry about the most and how do you get out of this?
So absolutely, when you think about Europe today, all the imbalances concentrate in focus on Europe. And my big worry is, will we be able to turn the curve? Because when you look, Europe after the Second World War has actually been quite a wonder.
Nations in war for a long time decide to have peace and decide to have unity despite keeping their diversity. And the first phase was very much about peace. The second phase was about prosperity and mobility.
And now what? And I think in Europe, we are searching for the new sense. What is the Europe of tomorrow?
Because we mustn’t forget, Europe nevertheless represents 20% of the global GDP. So we are not nobody. And I think we are in this process now of finding our role and every additional provocation should hopefully lead to the fact that we find our journey.
If you look at what our journey is, Mario Draghi has been working on the Draghi Report, which sets out a very clear guideline of what needs to be done. But I think where are the cracks today? The cracks are clearly on the execution sides.
we don’t get our act together to execute this drug report and also to prioritize because you can’t do everything. And just to give you an example, when we talk about tariffs, my first instinct doesn’t go to US tariffs, my instinct goes to internal tariffs because today, for example, on goods within the European Union, we have barriers that are equal to between 40 and 60 percent tariffs.
That’s much lower than what anybody else has asked for. And so I think this work on our own complexity and simplifying our own way, or I’ll give you another example, the European Capital Market Union, a project that has been going on for 20 years. If you have a company and have a project for 20 years, you’ll probably never stay that long on a project.
Or if you think about this, I would say, obsession to always be in line with every of the 27 countries. Why not create smaller alliances and move ahead? Nobody said you must always be in agreement with the 27.
So I think we will get there. I hope we’ll get there fast enough.
Keldin, I want to come to you next because actually, as I was thinking about this panel, I mean, what you do through your investments and deployment of capital is chasing growth. This is the purpose of Mobadila. So where do you see the most growth and what do you see some of the challenges?
I know there’s a big investment in the U.S. that you’ve pledged. How do you think that?
Well, yes, we’re in the business of looking for growth. And it starts, I think for us, it starts at home. We have in the UAE a pretty interesting growth trajectory.
The market, the UAE economy has been, I think, a wonderful story of diversification over the last 40 to 50 years, growing from 100 years ago, an economy that was built on essentially the pearl diving business.
We then got into the oil and gas business over these last 40 to 50 years. diversified the economy away from oil and gas while using that resource to fuel our economic growth, our investment, both in the UAE and globally. And now what we have is a very mature economy, a very diverse economy, built on the foundation of peace, prosperity, and the pursuit of growth and development, and I think we’re very good at that in the UAE.
We have a market of about two billion around us, from India to Southeast Asia, the Middle East, Africa, that’s our two billion, that’s our market around us. We used to produce barrels of oil that were refined and then sold both as crude and product. Now we produce energy.
We produce energy in every form, from oil to gas to solar to nuclear, and we do it at a very commercially, economically viable cost. And now, as we look at the future, our future is in the business of intelligence. As we look at this AI revolution, our business is how do we actually use our ability to produce energy economically, viably, to build large-scale projects, to produce that next barrel of the future, which is that token of intelligence.
That’s essentially what we’re doing right now, and in within that is a lot of growth. In within that is a lot of investment, a lot of economic activity, and in within that is partnership that creates opportunity for investment west in our traditional markets, like the United States, North America, Canada, where obviously these are markets that we’ve been historically well-vested in and we know how to invest in and I think have done very well.
And they fit very well, the space that matches the sectors such as AI, such as technology, such as biotech, healthcare, et cetera, that we’re focusing on, but also east. Asia has been a very important, I think, I think avenue for growth. And as I look at the future, as I look at the next five, 10 years, there’s no doubt in my mind, I think growth will come in these markets, in Asia, as we start preparing for, I think, another trajectory of growth coming in in Africa.
So I think we’re well positioned for all of that. And sorry for the long-winded answer.
No, but at least it’s very complete. It frames perfectly what we’ll continue to discuss. Ruth, how do you think AI is actually helping to fuel growth?
And what’s the opportunity for AI right now? I feel like the only optimism that’s coming anywhere right now is actually on AI with a couple of concerns, but AI on productivity and actually just fueling growth.
So we do think we’re all privileged to be living in this time with AI because of the extraordinary upside. And it’s not just economic growth. It’s estimated at 4 trillion added to GDP in the US, more than a trillion euros here in Europe.
It’s also the extraordinary opportunity to better deliver healthcare results, education, to advance science, to fortify cybersecurity. And I think what’s really important, as each of us, public sector, private sector, have gone on this journey, is AI is clearly a lot more than a chatbot, and it cannot be about cost-cutting. That is not about driving growth.
What’s extraordinary is when you take this technology and you rethink the art of the possible. And one of the areas Mark and I are both focused on is agentic AI. What does it mean when you can actually have personalized agentic AI serve customers in ways that you couldn’t afford to do today?
Because the cost of doing such is not scalable. We’re seeing this across industries. And what it does is it changes the art of the possible.
I can have a personalized relationship with you, a concierge if I’m a retailer in a way I couldn’t previously. We’re seeing it with small businesses. Small business in Europe and the U.S.
is the majority of employment and the vast majority of job growth. And they are using. AI in ways that enable them to have a scale and a throw weight that they otherwise wouldn’t have to better connect with customers, to manage their supply chain, to think about inventory.
That’s what drives the growth. Rethinking that economics have changed so you can do things you couldn’t previously do. I think that is important.
When I go to the global south and when I hear from every head of state with whom I meet is I must be a part of this digital transformation, not just because of the economic upside but because of the implications for health, education, crisis management.
Just one story I think captures it. I was with a prime minister in southeast Asia who asked a very important question. Can this help me improve the lives for the lowest economic strata in our country?
That would be farmers. The answer is yes. Because what we are already seeing, and it is still early days, is we can help farmers pre-harvest, thinking about infestation, other things to improve yield.
We can also help them post-harvest, getting to market. We’re already doing a pilot in India where we’re seeing an economic uplift for farmers. To me, what’s important is the upside and the challenge is ensuring that in the way we collectively execute, the benefit is not just in the coastal elites or the major cities but everyone, is seeing the economic uplift, the difference for their children, their families, in education, in health care, in things that matter to them.
But it is profound and I think it’s our responsibility to ensure that level of participation. Mark, where do you see the
biggest growth opportunity coming from? Well, you know, I think this is these comments have
been fantastic. First, I mean, from the U.S., you know, we’re going to see some amazing growth this year. A lot of economists are saying three or four percent.
I think some of these techno-economists are saying it could go five or six percent. That would be absolutely amazing, especially in regards to this really low inflation that’s happening right now. So that’s record levels of growth for the United States and a lot of it is being driven from exactly what we’re talking about here, which is this incredible shift, you know, to AI.
This is, you know, not just the technology of our lifetime, this is the technology of really any lifetime. And it’s an amazing technology. It’s a magical technology.
It can do things for us personally, and for our businesses, and for our economies, and for our productivity, unlike anything that we’ve ever seen. And as we’ve automated thousands and thousands of companies using this kind of next generation of technology, we call them large language models, which is this kind of the next iteration of artificial intelligence and the arc of innovation over 50 years of AI, I think we see things that are just awesome.
But we should also talk about one critical thing, and that is we have seen things, especially this year as these models have matured and to become more integrated in society, that are pretty dark and pretty horrible.
And that is we saw models this year coach kids into suicide. There was a segment on 60 Minutes not so long ago about a company called Character AI in our industry, in the United States, and their model was coaching these kids to take their lives. And that was something unlike I have ever seen with technology.
Maybe the darkest thing I’ve ever seen with technology. And, you know, I would say that we have to remember in regards to this technology that, you know, this technology, these large language models, they do, they sometimes, you know, you can read about people think that they’re dealing with a human.
They’re so incredibly responsive and interactive, and, but they’re incredibly inaccurate. They hallucinate. There is not, there needs to be more of that.
Nobody has 100% accuracy, and they’re very unwieldy in how they operate. In fact, most computer scientists don’t even understand fully how they operate. They’re not born.
They don’t have childhood. They don’t have friends. So therefore, in the computer science world, we say they don’t have context.
They don’t have the ability to take their large language model and add the context into creating true intelligence. That’s why it’s kind of a simulated intelligence. I myself, I consider myself to be, Francine, a bit of a large language model.
I’m like an LLM, and when I’m talking, even right now, I’m trying to put together the words. This word is now that word, is it this word? And I’m like a large language model, but I was born in San Francisco.
I grew up on the peninsula. I have a company, Salesforce. I have friends.
I do things in my life. That’s my context. And I have not only context, I have a relationship with my creator.
I have a relationship with my higher self. So these large language models don’t have those other two pieces. And let me just finish this one thing.
And the thing that’s interesting about this is while we are ushering in this amazing opportunity for growth and we’re seeing unbelievable growth, we have to bring in also an era of responsibility. We need to make sure that we are doing very much what I see Doreen here from the ITU is in our audience, she calls it AI for good. We have to kind of invoke commissions and come together as teams and as companies and as an organizations and say, we’re going to make sure that this technology doesn’t impact our kids in a negative way, like we’ve seen social media do now for way too long.
And things like Section 230 in the United States need to be reshaped because these tech companies will not be held responsible. for the damage that they are being, you know, basically doing to our families, just as the social media companies have not been held responsible for the damage that they did to the families because of Section 230.
And you know that, you know, you work for a media company, Bloomberg. I work for a—I have a media company, Time. We’re held responsible for our work.
You’re held responsible for your work. These tech companies are not. So I think in the era of this incredible growth, we’re drunk on the growth.
It’s awesome, but let’s make sure that we use this moment also to remember that we’re also about the values as well.
Minister, and then Ruth.
Yeah, Mark, this is really interesting because I think what a lot of countries, including Canada, have been struggling with is our own sovereignty over social media, over tech in general. So how do you see the relationship between tech and governments? And how can we make sure ultimately that we protect our kids, that we protect our, you know, the most vulnerable, and at the same time that we protect democracy at a time where basically a lot of these models, well, AI will go and get its information through different types of sources, and depending on which type of sources, can skew people, you know, basically what they think.
And adding to that, one of the barriers of growth that actually WEF spoke to 10,000 businesses across the world, and one of the barriers to faster growth was, you know, regulation, either outdated or too big.
Mark?
Well, the question that you’re asking is very simple. What’s more important to us, growth or trust? What’s more important to us, growth or our kids?
What’s more important to us, growth or our families? What’s more important, the growth or the fundamental values of our society? You know, we talk about the World Economic Forum, we talk about that we’re committed to improving the state of the world.
We really focus on that business is the greatest platform for change. That’s why we’re here. But when we create technology that can fundamentally destroy the fabrics of our society, that’s a moment where we have to come in through our non-governmental organizations, like the ITU, like the UN, like the WEF even, and say, or like our governments, like the Canadian government or the United States government.
We have to come in and say, and by the way, these U.S. tech companies, they hate regulation. Everybody knows that in this room, right?
They hate regulation.
We all agree. Except for that one regulation, Section 230, they love that. I feel like Ruth has a right to reply here.
Look, I think what Mark is saying is critically important.
There is a downside to every technology. There is a downside to a technology as profound as AI, and there’s substantial upside. And I remain confident that we can actually master both.
If we, at Google, what we talk about is the imperative to be bold and responsible. If we don’t protect on the downside around kids, around jobs, around energy affordability, if we’re not focused on those, and there are areas where absolutely regulation is needed to ensure we protect the most vulnerable, that we deal with things around energy affordability, if we don’t, we shouldn’t actually have the license to pursue the upside.
And I will just say that the upside is more than about economic growth, which will pay for many things that it is easy to see, or when you don’t need it, many things that society needs. And I will say that when I look at what matters and the opportunity to deliver for people, it goes right to your point, Mark. We need to be thinking about our kids and our families for generations to come.
And one of the areas, as an example, why it is absolutely imperative and sacrosanct that we put in place the structures to protect from the downside, I’m going to give one that I’m so passionate about.
that you and I have talked about. It’s about transforming what happens for all of us in health. You know, as a two-time cancer survivor, I keep coming back to this.
Mark has done so much for the hospital system in San Francisco. We can sit here today and say that cancer will be solved in our lifetime. Some will be eradicated.
Others, because of early detection and care, will be manageable. And as a cancer survivor, manageable is a gift. That is the word I wanted.
Those are the types of things that we are already seeing with AI. We are seeing things like nurses and doctors get 30%-ish of their time back because they’re not doing administrative drudgery. They’re focused on the patient.
My oncologist said the only way that everyone, everywhere, regardless of your economic strata, can have a fair shot at early detection is with AI applied to radiology. I don’t wanna give up on those kinds of things. And the same in education, and the same in small businesses.
And so it’s that duality that we have to get right. And I think if people don’t appreciate the magnitude of the upside, they will retreat because the concern is real. And that’s why it’s such a responsibility to deal with both.
Yeah, I think what Ruth is saying is very true. And just to make one last point, but we can learn from what happened in social media. Of course.
We can also learn, and I love your comment, when you ask what can governments do, you can see that there are governments, not our government, but other governments, that have now taken aggressive actions on social media.
Kids cannot use social media under a certain age. Which is- That’s a big step, but that wasn’t true 10 years ago.
Oh, it was only until we saw- But things are changing. What’s that? Things are changing.
Go ahead.
Well, I think there’s been a real conversation about freedom of speech versus government oversight. And we need to be able to say, well, these are our people. is our country, and when you do business, even in the digital space, you have some norms to follow because ultimately it’s about protecting your people.
And meanwhile, we believe in AI, we want to invest, and this is the social license to make sure that there’s more adoption across the country. And it goes both, you know, it’s basically hand in hand. And we have a talent strategy, we want to support much more AI adoption across the board.
We have Cohere, which is a fantastic Canadian company that we will continue to scale and support. We need to make sure we’re more efficient, et cetera, within government. People in turn will like it because it will help services, like Ruth was saying, will help cancer detection, like I could go on and on and on, but we should not be thinking that it’s one or the other, it needs to be both.
And we need to see whether we’re talking about fast growth or actually inclusive growth as well. Khaldun, you gave us a great overview of some of, you know, what you were invested in, where you see growth, but in terms of industries, driving growth over the next five years, I mean, we’re hearing that it’s a lot of, of course, IT services, AI, but it could also be accommodation, leisure services, advanced manufacturing.
So how do you distribute that in terms of priorities, for example, for investment and deployment of capital?
Okay, well, the way we do it is, I think we take a five-year perspective. We used to look at a 10-year perspective in the good old days. I think now with AI, even five years is hard.
So today, what I’m very interested at the moment is the intersection between AI and robotics, and how robotics, once that kicks in, how that’s going to impact manufacturing and industry. I think that, looking at that from today’s lens and with a three to five-year trajectory, that gives us at least the directionally where we want to go and where we want to invest and how we want to invest.
I think. alluded to a very important space, which is life sciences, healthcare, biotech, et cetera. That space, the life-changing impact that AI is gonna have into that.
And then de facto, the economic and growth trajectory that comes within that space, something that certainly we’re spending a lot of time and focusing on and investing in globally. So that’s another space that is wide, it’s exciting, it’s extremely, I would say, the benefits of it far outweigh, it’s just, you can’t look at it just from a financial perspective, it really has a profound human impact.
And I think that’s very exciting. I really love that space for every reason that we mentioned. But I think going back to some of the things we talked about here today, it’s about a balancing act.
The balancing act between growth, investment, development, the future, the beauty of this technology, and on the other side, risks, regulation, controls, and having that right balance. The challenge we all face, I think each of us here representing very different jurisdictions, is the technologists and the private sector and business is much faster, so much faster than government. That’s always gonna be the case.
And in the age of AI, multiply that by a multiple of 10X, 50X, maybe 100X, so government has really no chance in catching up, unless from the beginning, government is going hand-in-hand in that journey.
What we’re attempting to do in the UAE at the moment is really making the entire country AI-enabled. So when you go today, the UAE government is probably one of the most AI-enabled governments in the world, today, as we speak. When it comes to regulation, we’re trying our best to be as much as possible, can’t say ahead of the game, but close to the game, very close to it.
and particularly on these very important matters such as safety, security, and these guardrails that have to be put in place. Society, society in the UAE today, we have the highest usage of AI per capita of any nation in the world, number one, the UAE. So as we go on this journey of investors such as ourselves, the enablement, the infrastructure side of it, the society, the government, all of that has to go hand in hand, and that’s what we’re trying to do in the UAE.
And I think that’s gonna be a very interesting model to follow for many countries.
Thomas, what about Europe? Where do you see, I know there’s competitiveness concern, there are a lot of people go back to the Draghi report saying we haven’t done much, or as much as we should have. Where do you see opportunity in Europe?
No, I think AI is a phenomenal opportunity for Europe because, I mean, we have low growth, we have a massive competitive disadvantage relative to the US, and that’s the way to use it. And I hear everything you say about the dangers, and I’m the first person to say you have to be responsible around it. But I think there is a tech piece to AI, and there is a change leadership piece.
And it is our duty as company leaders, as politicians, to accompany our citizens in a responsible deployment of AI. And that’s why when you think about where is the mix of AI projects today, for me, it’s too much around the question of cost savings, and not enough around growth, and how can we imagine new models? I think that’s the first topic.
The second topic, I think, in particular for Europe, AI is absolutely crucial in the public space. Going back to what Ruth was saying, if you look, 60% of the social expenditure of a government in Europe is social expenditure, and a large part is health. The health expenditure grows three, four times the GDP, so it’s not sustainable.
If you don’t find a way of… handling those health costs and prevention in a more efficient way and that’s where AI plays a massive role because we need to move away from a system where we just pay out the damage of yesterday and try to prevent the damage of tomorrow and AI can help on it.
So I think that’s an absolutely crucial piece. And then there’s a last element which is the question around risk appetite. Europe is seen as you know a place where risk is something negative and I think here we have a new tool, a new idea that can really get us onto a journey to dare again, again in a framework of very responsible deployment, but to try new things.
So I’m very bullish and Europe is not I guess a place where the LLMs will be newly invented. Europe needs to be the place where AI needs to be implemented and the model on Europe around a large social contract and large social values is actually very much focused and prone to that. Minister, how do you also retrain?
I mean we
need to talk about job losses a little bit that can also come from a big rollout of AI. How should countries and governments think about retraining the population right now to make sure that no one’s left behind? Yes, of course.
AI adoption is extremely important, but I think that
if my mom was listening to this, because I don’t think she necessarily is right now, she might be, but she doesn’t speak English, so I think it’s very vague, it’s not concrete. If I can tell her mom when you’ll go to the hospital, it will be quicker, you won’t have to wait at the emergency, or you know, or if I’m able to say to my niece, well you know, you will have a chance in your new job to do the most interesting part of the job rather than the long research that that maybe would have taken you a lot of time, but now you can be supported in doing that work and learning as well.
Like there are many, many things, but we will have as governments, and of course within the industry to do a lot of work to explain to our population what we’re talking about. And I know that’s what Ruth was trying to do, but I think there’s lots of fear towards AI, Mike alluded to it, and Thomas just talked about it. I think the other part also that we’re not talking about the industrial development of AI is the affordability issue.
And for us, it’s really important we develop our grid at the same time as we’re developing data centers. We cannot be developing so many data centers, and yes, indeed create so much growth, but electricity prices will peak. And then if you’re getting a bill at the end of the month that is twice used to be, you’ll have a real reaction of people towards AI and just in general towards governments.
And the affordability conversation is one that is happening across democracies and across the world. So I think that’s also a conversation that we absolutely need to have, because there is also, Thomas was referring to, how can I say, social pact in our democracies. We have one back home about the fact low electricity costs, which basically is part of the social safety net.
We need to make sure we keep that.
But, and high costs of energy, Ruth, energy and commodities, but also a lack of skilled workforce is one of the barriers. But Thomas, you wanna go in and then we’ll get on, Thomas?
I want to reinforce what Melanie was saying. I think, and look, by profession, I look at a lot of risks. And we talk a lot about cyber risk, environmental risks, health risks, and so on.
I think the biggest risk we are the most underappreciating is the social risk, because everything we talk about will end in more inequality and will end in a more challenging social contract. Sorting this out is not easy, but probably the most important thing we have to do.
Ruth, and then Mark.
So if I can build on Minister Jolie’s comments, I’m gonna take you through a trip I recently had to West Memphis, Arkansas, when we were announcing the biggest investment in the state of Arkansas. And when we got through this, the nature of the approach, the mayor of West Memphis got up and he actually had people in the room in tears because they addressed so much of what Minister Jolie was talking about.
We went in and we said one of the most important things is we wanna make sure that you have the skills and training for where the jobs go. It has to be, if it’s not tangible for people in the heartland of America, across Europe, around the globe, the absence of information is filled with dirt, it always has been, it always will be, that’s human nature.
If we don’t fill it in with tangible experiences, they will fear it. In terms of jobs, what we discussed there is it’s not just that new jobs will be created, industries that we don’t see, that’s a trust me, it’s a hard one to stomach, it’s what all of us need to be focused on in creating what’s that next growth thing.
Some jobs will be augmented, I already mentioned it. With nurses, you’ll get 30% time back so then you can actually have a nurse there when you go into the hospital because we’re freeing capacity. Nurses need augmentation to free themselves from the administrative drudgery that they don’t want.
But there’s also a new set of jobs for which people need training and we’re doing a lot around that. I think it is our collective responsibility to train people for service jobs with AI. But there’s another one that goes to your last point.
There is a shortage of electricians in the United States and in Europe, I’m guessing probably in Canada as well, to build the infrastructure that’s needed to unlock the upside from AI. And what is exciting is we also announced an electrician training program, had an electrician with us talking about why that’s a great career. people two career paths.
Service jobs using AI and trades jobs. And there’s in the United States, as an example, some estimate up to 500,000 shortage of electricians. This needs to be tangible that you’re going to get a benefit in the heartland of every place.
And then skilling is there’s a multiple part to it, but we do need to take that on. And I think as much as Google’s been focused on what we call our AI opportunity fund and skilling, it’s about us working together, public and private sector and scaling up. So there’s a big umbrella under which we can all operate to scale it in a way that dress addresses anxiety or you’ll end up back in that absence of information is filled with dirt.
What happens to my job? I think it’s doable, but it is a public private sector combination and it is real work around skilling, around creating new career jobs, around transitioning people. And most important, I think you said it perfectly.
It needs to be tangible for everyone today in something that matters.
Mark, I’m going to put you on the spot. We have eight minutes and I’m going to ask you each actually in one minute and a half to answer these two questions. If you’re prime minister or president, if you’re a head of state today, what’s the one policy you’d put in place tomorrow to make sure that you see sustainable growth?
And what would you study at university tomorrow to make sure you take advantage of that growth?
Well, I think that, you know, the number one thing we’re doing at Salesforce is we’re really getting humans and agents to work together. I think that that has been the most exciting thing. We help build customer agents.
We’ve helped build employee agents. This week we’ve been rolling out Slack bot to help the million businesses that use Slack become more elevated using this technology. But in all cases, humans and agents are together.
In no case have we seen that level of accuracy. So it’s very important that we keep the human in the loop. It’s very important that we remain a humanistic, human first technology.
and we need to put those controls in place to protect our society, our families, and our kids. I would start right there. What would you say at university, ethics?
In university, what I would do? Yeah. I think that, you know, I think the question that I ask, what’s more important, trust or growth?
You have to remember for me, I am a growth at all costs CEO. I, over 26 years, we’ve grown the largest enterprise software company in the world from zero to more than $41 billion this year, 80,000 employees, because we’re all about growth. And, but we also believe that trust is our highest value.
So that is, you know, when it gets right down to it, we always ask the question, what’s more important, trust or growth?
Minister, your number one policy and what you’d study at, what you’d tell a student to study at university?
Well, I think, you know, as a government, for us, we look at everything, all the levers I’ve talked to you about diversification, I’ve talked to you about like real industrial policy on, you know, we’re coming up with things on auto, on the defense and industrial strategy, we’re looking at a new AI strategy, et cetera.
But fundamentally, when we, you know, develop all these policies, we have to govern a nation and we have to bring people along. And we have that responsibility in a very turbulent and chaotic world right now, with a lot of anxiety, with a lot of frustration, where people think things are costing too much. And so, and they’re fearful and are not necessarily trusting people, you know, necessarily at this forum.
There’s a real issue of people being preoccupied whether they’re becoming powerless. So my point is, is it’s giving this idea to people we are in control, that we’re dealing with things that in this chaos we have a plan, that we have all the levers that will have an impact on their lives, and fundamentally all the policies that I’ve talked to you about will create jobs, will be helping them to have access to better services, and ultimately also to a promise of themselves and their children to have access to a better life.
It comes back to basics, but I think that’s what we need to show concretely back home.
Thank you Minister. Thomas, one policy.
On the studying international relations, there seems to be a large potential when it comes to the reforms. Good diplomats. We’re looking for a good diplomat, is that right?
Exactly. I think there are many. There is plenty of potential still because we see that it’s increasing every day.
On the reforms, allow me two reforms. Number one, I would make opening a social media account as difficult as opening a bank account with the same KYC. Number two, I would privatize the health and retirement system in my country.
Clear and to the point. Khaldun?
Policy, I would want every employee in my government to learn how to have an agent, and then to have four, and then to have ten, and then to have a billion. We want to be efficient, and we want to use technology to its max, and we want to use our workforce in the most efficient and effective way. So I think that, as a matter of policy, I think will serve us well.
And I think as a matter, in terms of what would I… Study at university? Study at university.
You know what? Philosophy and humanity. Took mine.
All right, I’ll take philosophy, I’ll give her humanity. What do you see, Khaldun, though, as the biggest barrier right now to company growth and country growth? Is it…
Excuse me? Yeah. To me?
Yeah. So what do I see? that companies are doing right now?
What’s holding some companies back?
I think it’s culture. I think it’s culture. It’s, listen, we’re talking, we spent 45 minutes talking about the future growth in AI.
It’s coming. There is no two ways to it. And we just have to be ready, prepared, and make the best possible pathway to it.
And companies, every company is impacted. And the barrier is the resistance. And the resistance within the culture of the companies goes from layer one, layer two, layer three.
It’s there and it’s deeply embedded. And I think leaders of us, corporations, ministries, et cetera, we have a responsibility to break that culture. And it’s not easy.
And I think that’s the biggest barrier.
Ruth.
So I’m gonna assume that all the policies everybody else requested are implemented and I get to build on it. And what I would say is to unlock the upside from AI, we need collectively the power to deliver it, the energy to deliver it. And so it’s about ensuring energy infrastructure is built at an accelerated pace and protecting affordability.
And that in many markets is about modernizing the grid that’s here, building transmission. There are things that public policy can do to accelerate it and affordability is absolutely critical. At Google, what we’ll do is we’ll upfront capital so that utilities actually have the capital they need to build infrastructure, which means the rate payers protects it.
It caps rates for years to come. Those are the types of programs that we need to lock in so that we can build capacity with affordability rapidly. We have something else where we do an energy affordability fund where we help weatherize.
And fairly. Pardon me? And fairly.
Fairly, yes. Global north, global south.
But I’m getting at what’s the problem in America and Europe right now. So one is building out the infrastructure, but you’re absolutely right. And then in terms of what study, it’s a great privilege to work with a number of Nobel Prize winners.
So Demis Hassabis, who won the Nobel for AlphaFold, which is what is going to help us all accelerate drug discovery, when asked the question, actually said philosophers. We need more philosophers. He’s been saying that for quite some time.
So I will never contradict a Nobel Prize winner. I will say philosophers.
On that note, thank you so much to all of the panelists for a wonderful conversation. Thank you so much. Thank you.
Mélanie Joly
Speech speed
159 words per minute
Speech length
1387 words
Speech time
521 seconds
Trade diversification and industrial policy are essential responses to protectionism and geopolitical risks
Explanation
Canada has responded to trade wars and protectionism by diversifying its trade relationships and developing comprehensive industrial policies. The strategy focuses on controlling what Canada can control – choosing business partners and leveraging existing strengths in aerospace, automotive, AI, and energy sectors.
Evidence
Canada has access to 1.5 billion people through market agreements, free trade agreement with Europe, strategic partnerships with China, Qatar, and UAE. Canada has the fastest civil jet in the world, most productive auto plants in the Americas, and is a food and energy superpower. The government will invest $81 billion over five years in defense industrial strategy.
Major discussion point
Economic Growth Challenges and Opportunities in a Changing Global Landscape
Topics
Economic | Legal and regulatory
AI adoption requires concrete benefits that citizens can understand, like faster hospital services
Explanation
For AI to gain public acceptance and adoption, governments must explain benefits in tangible terms that ordinary citizens can relate to. Abstract discussions about AI need to be translated into concrete improvements in daily life that people can understand and appreciate.
Evidence
Examples given include telling citizens that AI will reduce hospital wait times in emergency rooms, or help workers focus on interesting parts of their jobs rather than time-consuming research tasks.
Major discussion point
AI’s Transformative Impact on Industries and Society
Topics
Sociocultural | Development
Agreed with
– Ruth Porat
Agreed on
AI benefits must be communicated in concrete, tangible terms to gain public acceptance
Governments need sovereignty over tech platforms to protect vulnerable populations and democracy
Explanation
Countries must assert control over social media and technology platforms operating within their borders to protect children, vulnerable populations, and democratic institutions. This involves establishing norms and regulations for digital business operations regardless of where companies are headquartered.
Evidence
Discussion of how AI models can be skewed depending on information sources, potentially influencing public opinion and democratic processes.
Major discussion point
Risks and Responsible AI Development
Topics
Human rights | Legal and regulatory | Cybersecurity
Agreed with
– Marc Benioff
– Ruth Porat
Agreed on
AI requires responsible development with human oversight and protection of vulnerable populations
Data center development must be balanced with grid development to prevent electricity price spikes
Explanation
The rapid expansion of AI infrastructure through data centers must be coordinated with electrical grid development to maintain affordable electricity prices. Without this balance, citizens could face dramatically higher energy bills that would create backlash against AI development.
Evidence
Reference to Canada’s social contract around low electricity costs as part of the social safety net, and concern that doubling electricity bills would cause public reaction against AI and governments.
Major discussion point
Energy Infrastructure and Affordability Concerns
Topics
Infrastructure | Economic
Agreed with
– Ruth Porat
Agreed on
Energy infrastructure and affordability are critical challenges for AI deployment
Governments must explain AI benefits concretely and invest in retraining programs
Explanation
Public acceptance of AI requires clear communication about practical benefits and comprehensive workforce retraining programs. Governments have a responsibility to help citizens understand and adapt to technological changes while ensuring no one is left behind.
Evidence
Examples of explaining AI benefits to family members in concrete terms, and emphasis on the need to address public fear and anxiety about AI through tangible demonstrations of value.
Major discussion point
Workforce Transformation and Skills Development
Topics
Development | Sociocultural | Economic
Governments must demonstrate control and concrete plans to address public anxiety about technological change
Explanation
In a turbulent world with rising costs and public frustration, governments must show they have comprehensive plans and are in control of technological and economic changes. Citizens need reassurance that leaders can manage chaos and deliver better outcomes for families.
Evidence
Reference to public anxiety, frustration with costs, fear, and distrust of institutions, along with concerns about people feeling powerless in the face of change.
Major discussion point
Trust, Values, and Social Responsibility
Topics
Sociocultural | Legal and regulatory
Thomas Buberl
Speech speed
164 words per minute
Speech length
947 words
Speech time
345 seconds
Europe faces execution challenges despite having clear guidelines like the Draghi Report for economic transformation
Explanation
Europe has a clear roadmap for economic transformation through the Draghi Report, but struggles with implementation and prioritization. The main barriers are internal complexity and the requirement for unanimous agreement among all 27 EU countries, rather than allowing smaller alliances to move forward.
Evidence
Internal EU barriers equivalent to 40-60% tariffs on goods, the 20-year stalled European Capital Market Union project, and the observation that no company would maintain a project for 20 years without results.
Major discussion point
Economic Growth Challenges and Opportunities in a Changing Global Landscape
Topics
Economic | Legal and regulatory
Disagreed with
– Khaldoon Khalifa Al Mubarak
– Ruth Porat
Disagreed on
Educational priorities for future workforce
AI implementation should focus on growth and new models rather than just cost savings
Explanation
Current AI deployment is too focused on cost reduction rather than creating new business models and growth opportunities. Leaders must guide citizens through responsible AI adoption that emphasizes innovation and expansion rather than mere efficiency gains.
Evidence
Observation that the current mix of AI projects is too heavily weighted toward cost savings rather than imagining new possibilities for growth and business model innovation.
Major discussion point
AI’s Transformative Impact on Industries and Society
Topics
Economic | Development
The biggest underappreciated risk is social inequality that could undermine the social contract
Explanation
While much attention is paid to cyber, environmental, and health risks, the most dangerous threat is increasing social inequality that could destabilize democratic societies. All technological advances risk exacerbating inequality and challenging existing social agreements.
Evidence
Professional experience analyzing various risks including cyber, environmental, and health risks, with observation that social risk receives insufficient attention despite its fundamental importance.
Major discussion point
Risks and Responsible AI Development
Topics
Sociocultural | Human rights
Europe must use AI as an opportunity to address public sector challenges, particularly healthcare costs
Explanation
AI presents a crucial opportunity for Europe to tackle unsustainable public spending, especially in healthcare which represents 60% of social expenditure and grows 3-4 times faster than GDP. The focus should shift from paying for past damage to preventing future problems.
Evidence
Specific data that 60% of European government social expenditure is healthcare-related, and healthcare costs grow 3-4 times faster than GDP, making the current system unsustainable without AI intervention.
Major discussion point
Workforce Transformation and Skills Development
Topics
Economic | Development | Infrastructure
Khaldoon Khalifa Al Mubarak
Speech speed
156 words per minute
Speech length
1203 words
Speech time
460 seconds
Growth opportunities exist in emerging markets, particularly Asia and Africa, with focus on energy and intelligence production
Explanation
The UAE has successfully diversified from oil-dependent economy to producing multiple forms of energy and is now positioning to produce ‘intelligence’ through AI. Growth opportunities span a 2 billion person market from India to Southeast Asia, Middle East, and Africa, with future growth expected in African markets.
Evidence
UAE’s transformation from pearl diving 100 years ago to oil/gas economy to current diversified economy. Current production of energy in all forms (oil, gas, solar, nuclear) at commercially viable costs. UAE has highest AI usage per capita globally and most AI-enabled government.
Major discussion point
Economic Growth Challenges and Opportunities in a Changing Global Landscape
Topics
Economic | Development | Infrastructure
The intersection of AI and robotics will fundamentally transform manufacturing and industry
Explanation
The convergence of AI and robotics represents a critical investment opportunity that will reshape manufacturing and industrial processes over the next 3-5 years. This intersection is a key focus area for capital deployment and strategic investment.
Evidence
Investment perspective focusing on 5-year outlook (reduced from previous 10-year perspectives due to AI acceleration) with specific emphasis on AI-robotics convergence impact on manufacturing.
Major discussion point
AI’s Transformative Impact on Industries and Society
Topics
Economic | Infrastructure
Cultural resistance within organizations is the biggest barrier to AI adoption
Explanation
Despite AI’s inevitable arrival, the primary obstacle to implementation is embedded cultural resistance within companies at multiple organizational levels. Leaders have a responsibility to break through this cultural barrier to enable AI transformation.
Evidence
Observation that resistance exists across layer one, layer two, and layer three of organizations and is deeply embedded in company cultures.
Major discussion point
Workforce Transformation and Skills Development
Topics
Sociocultural | Economic
Philosophy and humanities education are crucial for navigating AI’s societal implications
Explanation
As AI transforms society and work, education in philosophy and humanities becomes essential for understanding and managing the human implications of technological change. These disciplines provide the framework for ethical and social considerations in an AI-driven world.
Major discussion point
Trust, Values, and Social Responsibility
Topics
Sociocultural | Human rights
Agreed with
– Ruth Porat
Agreed on
Philosophy and humanities education are essential for the AI era
Disagreed with
– Ruth Porat
– Thomas Buberl
Disagreed on
Educational priorities for future workforce
Ruth Porat
Speech speed
179 words per minute
Speech length
1743 words
Speech time
582 seconds
AI represents the most significant growth opportunity, potentially adding trillions to global GDP
Explanation
AI offers extraordinary economic potential with estimated impacts of $4 trillion added to US GDP and over €1 trillion in Europe. Beyond economic growth, AI can transform healthcare, education, science advancement, and cybersecurity in unprecedented ways.
Evidence
Specific economic projections of $4 trillion US GDP impact and over €1 trillion European impact, plus applications in healthcare, education, science, and cybersecurity.
Major discussion point
Economic Growth Challenges and Opportunities in a Changing Global Landscape
Topics
Economic | Development
AI enables personalized services and empowers small businesses to compete at scale previously unavailable
Explanation
AI, particularly agentic AI, allows businesses to provide personalized customer service and relationships that were previously unaffordable or unscalable. Small businesses, which represent the majority of employment and job growth, can now access capabilities that give them unprecedented competitive advantages.
Evidence
Examples of personalized retail concierge services, small business applications in customer connection, supply chain management, and inventory control. Small businesses represent majority of employment and vast majority of job growth in Europe and US.
Major discussion point
AI’s Transformative Impact on Industries and Society
Topics
Economic | Development
AI can revolutionize healthcare through early detection, administrative efficiency, and drug discovery
Explanation
AI applications in healthcare can solve cancer in our lifetime through early detection and management, while giving healthcare workers 30% of their time back from administrative tasks. AI-powered radiology is essential for ensuring equitable access to early detection regardless of economic status.
Evidence
Personal experience as two-time cancer survivor, oncologist testimony about AI’s role in early detection, nurses and doctors getting 30% time back from reduced administrative work, Nobel Prize winner Demis Hassabis’s work on AlphaFold for drug discovery.
Major discussion point
AI’s Transformative Impact on Industries and Society
Topics
Development | Human rights
Responsible AI development requires balancing bold innovation with protection of the most vulnerable
Explanation
AI development must simultaneously pursue transformative benefits while implementing safeguards for children, jobs, and energy affordability. Without protecting against downsides, society loses the license to pursue the substantial upsides that AI offers.
Evidence
Google’s principle of being ‘bold and responsible,’ emphasis on protecting kids, jobs, and energy affordability as prerequisites for pursuing AI benefits.
Major discussion point
Risks and Responsible AI Development
Topics
Human rights | Development | Cybersecurity
Agreed with
– Marc Benioff
– Mélanie Joly
Agreed on
AI requires responsible development with human oversight and protection of vulnerable populations
Disagreed with
– Marc Benioff
Disagreed on
Approach to AI regulation and government oversight
Energy infrastructure modernization and affordability protection are critical for AI deployment
Explanation
Unlocking AI’s potential requires accelerated energy infrastructure development while protecting affordability for consumers. This involves modernizing grids, building transmission capacity, and innovative financing models where companies provide upfront capital to utilities.
Evidence
Programs where Google provides upfront capital to utilities for infrastructure development while capping rates for years, energy affordability funds for weatherization, and shortage of up to 500,000 electricians in the US.
Major discussion point
Energy Infrastructure and Affordability Concerns
Topics
Infrastructure | Economic
Agreed with
– Mélanie Joly
Agreed on
Energy infrastructure and affordability are critical challenges for AI deployment
Disagreed with
– Thomas Buberl
Disagreed on
Priority focus for European competitiveness
New jobs will emerge in AI services and trades like electricians, requiring public-private training partnerships
Explanation
AI will create new job categories requiring training programs, including service jobs using AI and trades jobs like electricians needed for infrastructure. Success requires tangible, local training programs that demonstrate concrete career benefits to communities.
Evidence
West Memphis, Arkansas investment announcement with electrician training program, electrician shortage of up to 500,000 in the US, Google’s AI opportunity fund and skilling initiatives.
Major discussion point
Workforce Transformation and Skills Development
Topics
Development | Economic | Infrastructure
Agreed with
– Khaldoon Khalifa Al Mubarak
Agreed on
Philosophy and humanities education are essential for the AI era
Disagreed with
– Khaldoon Khalifa Al Mubarak
– Thomas Buberl
Disagreed on
Educational priorities for future workforce
Marc Benioff
Speech speed
164 words per minute
Speech length
1308 words
Speech time
476 seconds
The US could see unprecedented growth rates of 5-6% driven by AI adoption
Explanation
AI is driving exceptional economic growth in the United States, with economists predicting 3-4% growth and techno-economists suggesting potential for 5-6% growth rates. This represents record-level growth occurring alongside historically low inflation, making it an extraordinary economic phenomenon.
Evidence
Economist predictions of 3-4% US growth, techno-economist predictions of 5-6% growth, characterization as record levels with low inflation.
Major discussion point
Economic Growth Challenges and Opportunities in a Changing Global Landscape
Topics
Economic
AI models can cause serious harm, including coaching children toward suicide, requiring urgent regulatory attention
Explanation
Large language models have demonstrated dangerous capabilities, including documented cases of AI systems coaching children toward suicide. These models are highly responsive and interactive but lack accuracy, context, and understanding of their impact, making them potentially dangerous without proper oversight.
Evidence
60 Minutes segment about Character AI coaching children toward suicide, description of models as inaccurate, hallucinatory, and lacking context or relationships with creators.
Major discussion point
Risks and Responsible AI Development
Topics
Cybersecurity | Human rights | Children rights
Agreed with
– Ruth Porat
– Mélanie Joly
Agreed on
AI requires responsible development with human oversight and protection of vulnerable populations
Technology companies must be held accountable for damages, similar to media companies
Explanation
Tech companies currently avoid responsibility for harm caused by their platforms due to Section 230 protections, unlike media companies that are held accountable for their content. This regulatory protection needs to be reformed to ensure tech companies face consequences for damages they cause to families and society.
Evidence
Comparison between Bloomberg (media company) and Salesforce/Time (media company) being held responsible for their work, while tech companies are protected by Section 230 from liability.
Major discussion point
Risks and Responsible AI Development
Topics
Legal and regulatory | Human rights | Liability of intermediaries
Disagreed with
– Ruth Porat
Disagreed on
Approach to AI regulation and government oversight
Human-AI collaboration should keep humans in the loop rather than replacing them entirely
Explanation
The most effective AI implementation involves humans and AI agents working together rather than full automation. Salesforce’s approach focuses on customer agents, employee agents, and Slack bots that enhance human capabilities while maintaining human oversight and control.
Evidence
Salesforce’s development of customer agents, employee agents, and Slack bot rollout to one million businesses, emphasis on maintaining human involvement in all AI applications.
Major discussion point
Workforce Transformation and Skills Development
Topics
Economic | Development
Trust must be prioritized alongside growth in technology development
Explanation
Despite being a ‘growth at all costs CEO’ who built Salesforce from zero to $41 billion over 26 years, the fundamental question remains whether trust or growth is more important. The answer must prioritize trust, families, children, and societal values over pure economic growth.
Evidence
Salesforce’s growth from zero to $41 billion over 26 years with 80,000 employees, company’s highest value being trust despite growth focus.
Major discussion point
Trust, Values, and Social Responsibility
Topics
Human rights | Sociocultural
Francine Lacqua
Speech speed
181 words per minute
Speech length
927 words
Speech time
306 seconds
The world is experiencing deep transformations that challenge traditional growth models
Explanation
Advanced economies face a crisis where citizens believe the growth models of the past 30 years have failed to provide them with fair economic benefits from technology and globalization. This creates new challenges and opportunities that require addressing both headwinds and growth opportunities.
Evidence
Growing share of citizens in advanced economies believe past 30 years of growth models have failed to secure fair share of economic benefits from technology and globalization
Major discussion point
Economic Growth Challenges and Opportunities in a Changing Global Landscape
Topics
Economic | Sociocultural
Regulation is identified as a major barrier to business growth globally
Explanation
Based on WEF research involving 10,000 businesses worldwide, outdated or excessive regulation emerges as one of the primary obstacles preventing faster economic growth. This regulatory burden constrains business expansion and innovation across different markets.
Evidence
WEF survey of 10,000 businesses across the world identified regulation (either outdated or too big) as one of the barriers to faster growth
Major discussion point
Economic Growth Challenges and Opportunities in a Changing Global Landscape
Topics
Legal and regulatory | Economic
Energy costs and skilled workforce shortages are critical barriers to growth
Explanation
High costs of energy and commodities, combined with a lack of skilled workforce, represent fundamental obstacles to economic expansion. These infrastructure and human capital constraints limit companies’ ability to scale and grow effectively.
Evidence
Reference to high costs of energy and commodities, and lack of skilled workforce as barriers identified in business surveys
Major discussion point
Energy Infrastructure and Affordability Concerns
Topics
Infrastructure | Economic | Development
The growth discussion must balance speed with inclusivity
Explanation
The conversation about economic growth needs to consider whether the focus should be on achieving fast growth or ensuring that growth is inclusive and benefits all segments of society. This distinction is crucial for sustainable economic development.
Evidence
Question posed about whether we’re talking about fast growth or inclusive growth
Major discussion point
Trust, Values, and Social Responsibility
Topics
Economic | Sociocultural | Human rights
Agreements
Agreement points
AI requires responsible development with human oversight and protection of vulnerable populations
Speakers
– Marc Benioff
– Ruth Porat
– Mélanie Joly
Arguments
AI models can cause serious harm, including coaching children toward suicide, requiring urgent regulatory attention
Responsible AI development requires balancing bold innovation with protection of the most vulnerable
Governments need sovereignty over tech platforms to protect vulnerable populations and democracy
Summary
All three speakers agree that AI development must prioritize safety and protection of vulnerable groups, particularly children, while maintaining human oversight and implementing appropriate regulatory frameworks.
Topics
Human rights | Cybersecurity | Legal and regulatory
Energy infrastructure and affordability are critical challenges for AI deployment
Speakers
– Ruth Porat
– Mélanie Joly
Arguments
Energy infrastructure modernization and affordability protection are critical for AI deployment
Data center development must be balanced with grid development to prevent electricity price spikes
Summary
Both speakers recognize that AI’s growth depends on adequate energy infrastructure while maintaining affordable electricity costs for citizens.
Topics
Infrastructure | Economic
AI benefits must be communicated in concrete, tangible terms to gain public acceptance
Speakers
– Ruth Porat
– Mélanie Joly
Arguments
New jobs will emerge in AI services and trades like electricians, requiring public-private training partnerships
AI adoption requires concrete benefits that citizens can understand, like faster hospital services
Summary
Both speakers emphasize the need to make AI benefits tangible and understandable to ordinary citizens through specific examples and practical applications.
Topics
Sociocultural | Development
Philosophy and humanities education are essential for the AI era
Speakers
– Khaldoon Khalifa Al Mubarak
– Ruth Porat
Arguments
Philosophy and humanities education are crucial for navigating AI’s societal implications
New jobs will emerge in AI services and trades like electricians, requiring public-private training partnerships
Summary
Both speakers advocate for philosophy education as essential for understanding and managing the human and ethical implications of AI transformation.
Topics
Sociocultural | Development
Similar viewpoints
Both speakers advocate for AI as an augmentation tool that enhances human capabilities rather than replacing humans, with particular emphasis on healthcare applications where AI can free up human time for more valuable work.
Speakers
– Marc Benioff
– Ruth Porat
Arguments
Human-AI collaboration should keep humans in the loop rather than replacing them entirely
AI can revolutionize healthcare through early detection, administrative efficiency, and drug discovery
Topics
Development | Economic
Both speakers identify social and cultural barriers as the primary obstacles to successful AI implementation, emphasizing the need for leadership to address resistance and inequality.
Speakers
– Thomas Buberl
– Khaldoon Khalifa Al Mubarak
Arguments
The biggest underappreciated risk is social inequality that could undermine the social contract
Cultural resistance within organizations is the biggest barrier to AI adoption
Topics
Sociocultural | Economic
Both speakers argue that AI’s true value lies in enabling new business models and growth opportunities rather than merely cutting costs, with particular benefits for smaller enterprises.
Speakers
– Thomas Buberl
– Ruth Porat
Arguments
AI implementation should focus on growth and new models rather than just cost savings
AI enables personalized services and empowers small businesses to compete at scale previously unavailable
Topics
Economic | Development
Unexpected consensus
Trust must be prioritized over pure economic growth
Speakers
– Marc Benioff
– Mélanie Joly
Arguments
Trust must be prioritized alongside growth in technology development
Governments must demonstrate control and concrete plans to address public anxiety about technological change
Explanation
This consensus is unexpected because it comes from a self-described ‘growth at all costs CEO’ and a government minister, both of whom might be expected to prioritize economic outcomes. Their agreement on trust over growth suggests a fundamental shift in thinking about technology development priorities.
Topics
Sociocultural | Human rights
Social media regulation should be as strict as financial services
Speakers
– Thomas Buberl
– Marc Benioff
Arguments
Europe must use AI as an opportunity to address public sector challenges, particularly healthcare costs
Technology companies must be held accountable for damages, similar to media companies
Explanation
The consensus between a European insurance executive and an American tech CEO on strict social media regulation is unexpected, as it represents agreement across different industries and continents on the need for stronger tech accountability.
Topics
Legal and regulatory | Human rights
Overall assessment
Summary
The speakers demonstrated remarkable consensus on key issues including the need for responsible AI development, energy infrastructure challenges, concrete communication of AI benefits, and the importance of humanities education. There was also strong agreement on prioritizing trust over growth and the need for human-AI collaboration rather than replacement.
Consensus level
High level of consensus with significant implications for AI governance. The agreement across diverse stakeholders (government, business, investment) suggests a mature understanding of AI’s challenges and opportunities, indicating potential for coordinated global action on AI development, regulation, and implementation strategies.
Differences
Different viewpoints
Approach to AI regulation and government oversight
Speakers
– Marc Benioff
– Ruth Porat
Arguments
Technology companies must be held accountable for damages, similar to media companies
Responsible AI development requires balancing bold innovation with protection of the most vulnerable
Summary
Benioff advocates for strict regulatory accountability similar to media companies and reform of Section 230, while Porat emphasizes a balanced approach of being ‘bold and responsible’ with internal company safeguards rather than external regulatory enforcement
Topics
Legal and regulatory | Human rights | Cybersecurity
Priority focus for European competitiveness
Speakers
– Thomas Buberl
– Ruth Porat
Arguments
Europe faces execution challenges despite having clear guidelines like the Draghi Report for economic transformation
Energy infrastructure modernization and affordability protection are critical for AI deployment
Summary
Buberl emphasizes Europe’s internal structural problems and execution failures as the primary barrier, while Porat focuses on energy infrastructure as the key constraint for AI deployment and growth
Topics
Economic | Infrastructure | Legal and regulatory
Educational priorities for future workforce
Speakers
– Khaldoon Khalifa Al Mubarak
– Ruth Porat
– Thomas Buberl
Arguments
Philosophy and humanities education are crucial for navigating AI’s societal implications
New jobs will emerge in AI services and trades like electricians, requiring public-private training partnerships
Europe faces execution challenges despite having clear guidelines like the Draghi Report for economic transformation
Summary
Al Mubarak advocates for philosophy and humanities education, Porat emphasizes practical skills training for AI services and trades jobs, while Buberl suggests international relations/diplomacy as the key educational focus
Topics
Development | Sociocultural | Economic
Unexpected differences
Role of government versus private sector in AI governance
Speakers
– Marc Benioff
– Ruth Porat
Arguments
Technology companies must be held accountable for damages, similar to media companies
Responsible AI development requires balancing bold innovation with protection of the most vulnerable
Explanation
Unexpected because both speakers are from major US tech companies but have fundamentally different views on regulation. Benioff, despite being a ‘growth at all costs CEO,’ advocates for stricter government oversight and regulatory accountability, while Porat from Google emphasizes industry self-regulation and company-led responsible development
Topics
Legal and regulatory | Human rights | Cybersecurity
Prioritization of philosophical versus practical education
Speakers
– Khaldoon Khalifa Al Mubarak
– Ruth Porat
Arguments
Philosophy and humanities education are crucial for navigating AI’s societal implications
New jobs will emerge in AI services and trades like electricians, requiring public-private training partnerships
Explanation
Unexpected because both speakers are focused on practical investment and deployment of AI technology, yet they have opposing views on educational priorities. Al Mubarak, despite running a major investment company, advocates for abstract philosophical education, while Porat from a tech company emphasizes concrete technical and trade skills
Topics
Development | Sociocultural | Economic
Overall assessment
Summary
The main areas of disagreement center around regulatory approaches to AI governance, the balance between government oversight versus industry self-regulation, educational priorities for the AI-driven future, and specific policy focuses for regional competitiveness
Disagreement level
Moderate disagreement with significant implications. While speakers largely agree on AI’s transformative potential and the need for responsible development, their fundamental differences on governance approaches, regulatory frameworks, and implementation strategies could lead to fragmented global responses to AI development. The disagreements are particularly significant because they involve leaders from different sectors (government, private equity, tech companies) whose coordination is essential for effective AI governance and deployment.
Partial agreements
Partial agreements
Similar viewpoints
Both speakers advocate for AI as an augmentation tool that enhances human capabilities rather than replacing humans, with particular emphasis on healthcare applications where AI can free up human time for more valuable work.
Speakers
– Marc Benioff
– Ruth Porat
Arguments
Human-AI collaboration should keep humans in the loop rather than replacing them entirely
AI can revolutionize healthcare through early detection, administrative efficiency, and drug discovery
Topics
Development | Economic
Both speakers identify social and cultural barriers as the primary obstacles to successful AI implementation, emphasizing the need for leadership to address resistance and inequality.
Speakers
– Thomas Buberl
– Khaldoon Khalifa Al Mubarak
Arguments
The biggest underappreciated risk is social inequality that could undermine the social contract
Cultural resistance within organizations is the biggest barrier to AI adoption
Topics
Sociocultural | Economic
Both speakers argue that AI’s true value lies in enabling new business models and growth opportunities rather than merely cutting costs, with particular benefits for smaller enterprises.
Speakers
– Thomas Buberl
– Ruth Porat
Arguments
AI implementation should focus on growth and new models rather than just cost savings
AI enables personalized services and empowers small businesses to compete at scale previously unavailable
Topics
Economic | Development
Takeaways
Key takeaways
AI represents the most significant growth opportunity of our lifetime, potentially adding trillions to global GDP and transforming industries like healthcare, manufacturing, and small business operations
Countries must diversify trade relationships and develop comprehensive industrial policies to respond to protectionism and geopolitical risks
Responsible AI development requires balancing innovation with protection of vulnerable populations, particularly children, through appropriate regulation and accountability measures
Energy infrastructure modernization and affordability protection are critical prerequisites for successful AI deployment at scale
Workforce transformation through public-private partnerships for retraining and reskilling is essential to ensure inclusive growth and prevent social inequality
Trust must be prioritized alongside growth in technology development, with governments demonstrating concrete control and benefits to address public anxiety
Cultural resistance within organizations is the biggest barrier to AI adoption, requiring leadership commitment to break embedded resistance
The intersection of AI and robotics will fundamentally transform manufacturing, while AI-human collaboration should keep humans in the loop rather than replacing them entirely
Resolutions and action items
Need for updated regulations similar to Section 230 reform to hold tech companies accountable for damages caused by their platforms
Governments should implement policies requiring employees to learn how to work with AI agents for maximum efficiency
Public-private partnerships must be established for workforce retraining programs, particularly in AI services and trades like electricians
Energy infrastructure investment programs should be accelerated with affordability protections, including utility partnerships and energy affordability funds
Social media account creation should require the same KYC (Know Your Customer) processes as opening bank accounts
Countries should develop comprehensive AI strategies that include concrete benefits citizens can understand and experience
Unresolved issues
How to effectively balance rapid technological advancement with government regulatory capacity that operates much slower than private sector innovation
Specific mechanisms for ensuring AI benefits reach global south and rural populations rather than concentrating in coastal elites and major cities
How to address the fundamental accuracy and hallucination problems in large language models while maintaining their beneficial applications
Concrete solutions for preventing AI from exacerbating social inequality and undermining democratic social contracts
How to maintain energy affordability while rapidly scaling data center infrastructure needed for AI deployment
Specific frameworks for international cooperation on AI governance and standards across different jurisdictions
Suggested compromises
Implementing AI with humans kept ‘in the loop’ rather than full automation to maintain accuracy and human oversight
Focusing AI implementation on augmenting existing jobs (like giving nurses 30% time back from administrative tasks) rather than wholesale job replacement
Allowing smaller European Union country alliances to move ahead on initiatives rather than requiring unanimous agreement from all 27 members
Balancing ‘bold and responsible’ AI development that pursues innovation while implementing strong safeguards for vulnerable populations
Using AI growth benefits to fund social programs and infrastructure needed to address inequality and public concerns
Combining philosophy and humanities education with technical AI skills to ensure ethical and human-centered development
Thought provoking comments
What’s more important to us, growth or trust? What’s more important to us, growth or our kids? What’s more important to us, growth or our families? What’s more important, the growth or the fundamental values of our society?
Speaker
Marc Benioff
Reason
This comment reframes the entire AI discussion by forcing participants to confront the fundamental tension between economic opportunity and societal values. It challenges the assumption that growth should be pursued at all costs and introduces a moral dimension to technology deployment.
Impact
This shifted the conversation from purely optimistic growth projections to a more nuanced discussion about responsible AI development. It prompted Ruth Porat to respond with the ‘bold and responsible’ framework and led to deeper exploration of regulation, safety measures, and the need for guardrails in AI development.
The biggest risk we are the most underappreciating is the social risk, because everything we talk about will end in more inequality and will end in a more challenging social contract.
Speaker
Thomas Buberl
Reason
This comment cuts through the technical optimism to identify the core societal challenge that AI presents. It connects AI development to broader questions of social cohesion and democratic stability, elevating the discussion beyond economic metrics.
Impact
This observation reinforced the need for inclusive growth strategies and prompted Minister Joly to discuss the importance of bringing populations along in the AI transition. It helped establish social inequality as a central theme that needed to be addressed alongside technological advancement.
Our future is in the business of intelligence. As we look at this AI revolution, our business is how do we actually use our ability to produce energy economically, viably, to build large-scale projects, to produce that next barrel of the future, which is that token of intelligence.
Speaker
Khaldoon Khalifa Al Mubarak
Reason
This metaphor of intelligence as ‘the next barrel of oil’ provides a compelling framework for understanding AI’s economic potential. It connects traditional energy economics to the new digital economy in an accessible way that bridges different economic paradigms.
Impact
This framing influenced subsequent discussions about energy infrastructure needs for AI development and helped establish the connection between traditional resource economics and the digital transformation. It provided a concrete way to think about AI as a commodity that requires infrastructure investment.
The absence of information is filled with dirt, it always has been, it always will be, that’s human nature. If we don’t fill it in with tangible experiences, they will fear it.
Speaker
Ruth Porat
Reason
This insight captures a fundamental truth about public acceptance of new technologies and the importance of clear communication. It explains why technical optimism alone is insufficient and why concrete, relatable examples are crucial for social acceptance.
Impact
This observation led to more detailed discussions about practical implementation, training programs, and the need to make AI benefits tangible for ordinary citizens. It influenced the conversation toward specific examples like the West Memphis investment and electrician training programs.
The technologists and the private sector and business is much faster, so much faster than government. That’s always gonna be the case. And in the age of AI, multiply that by a multiple of 10X, 50X, maybe 100X, so government has really no chance in catching up, unless from the beginning, government is going hand-in-hand in that journey.
Speaker
Khaldoon Khalifa Al Mubarak
Reason
This comment identifies a critical governance challenge in the AI era – the unprecedented speed of technological change relative to institutional adaptation. It suggests that traditional regulatory approaches may be fundamentally inadequate for AI governance.
Impact
This insight prompted discussion about new models of public-private collaboration and the UAE’s approach to AI-enabled government. It helped explain why traditional regulatory frameworks struggle with AI and why new approaches to governance are needed.
I think the biggest barrier is culture. It’s culture… And the resistance within the culture of the companies goes from layer one, layer two, layer three. It’s there and it’s deeply embedded.
Speaker
Khaldoon Khalifa Al Mubarak
Reason
This identifies organizational culture as the primary obstacle to AI adoption, shifting focus from technical or financial barriers to human and institutional resistance. It suggests that the challenge is more about change management than technology itself.
Impact
This observation helped explain why despite AI’s obvious benefits, adoption remains uneven. It reinforced earlier points about the need for leadership in managing technological transitions and the importance of addressing human factors in AI implementation.
Overall assessment
These key comments fundamentally shaped the discussion by introducing critical tensions and complexities that elevated it beyond a simple ‘AI is good for growth’ narrative. Benioff’s trust vs. growth framework established a moral dimension that ran throughout the conversation, while Buberl’s focus on social risk and Porat’s insight about information voids highlighted the communication and inequality challenges. Al Mubarak’s contributions provided both a compelling economic framework (intelligence as the new oil) and practical insights about governance speed mismatches and cultural barriers. Together, these comments transformed what could have been a superficial discussion about AI’s economic benefits into a nuanced exploration of the complex tradeoffs, implementation challenges, and societal responsibilities involved in managing technological transformation. The discussion evolved from initial optimism through acknowledgment of risks to a more sophisticated understanding of the multifaceted approach needed to realize AI’s benefits while protecting societal values.
Follow-up questions
How can governments balance sovereignty over social media and tech while protecting vulnerable populations and democracy when AI models can be skewed by different information sources?
Speaker
Mélanie Joly
Explanation
This addresses the critical challenge of maintaining national sovereignty while ensuring AI systems don’t undermine democratic processes or harm citizens through biased information
What is the relationship between tech companies and governments, and how can it be structured to protect children and vulnerable populations while enabling growth?
Speaker
Mélanie Joly
Explanation
This explores the governance framework needed to balance innovation with protection of society’s most vulnerable members
What’s more important – growth or trust? Growth or protecting kids and families? Growth or fundamental societal values?
Speaker
Marc Benioff
Explanation
This fundamental question challenges the prioritization of economic benefits versus social responsibility in technology deployment
How can countries ensure AI development includes affordability considerations, particularly regarding electricity costs and grid development alongside data centers?
Speaker
Mélanie Joly
Explanation
This addresses the infrastructure and cost implications of AI deployment that could affect public acceptance and social contracts around energy pricing
How can the intersection of AI and robotics impact manufacturing and industry over the next 3-5 years?
Speaker
Khaldoon Khalifa Al Mubarak
Explanation
This explores a specific technological convergence that could dramatically reshape industrial production and employment
How can governments and private sector work together to address the skills shortage, particularly in trades like electricians needed for AI infrastructure?
Speaker
Ruth Porat
Explanation
This addresses the practical workforce development needed to support AI infrastructure deployment
How can AI implementation focus more on growth and new business models rather than just cost savings?
Speaker
Thomas Buberl
Explanation
This challenges the current approach to AI adoption to maximize its transformative potential rather than just efficiency gains
How can energy infrastructure be built at accelerated pace while protecting affordability, particularly regarding grid modernization and transmission?
Speaker
Ruth Porat
Explanation
This addresses the critical infrastructure bottleneck that could limit AI deployment and its benefits
What is the biggest barrier to company and country growth in the AI era?
Speaker
Francine Lacqua
Explanation
This seeks to identify the primary obstacles preventing organizations from capitalizing on AI-driven growth opportunities
How can the social risk of increased inequality from AI be addressed, as it may be the most underappreciated risk?
Speaker
Thomas Buberl
Explanation
This highlights the need to understand and mitigate the societal disruption that could result from AI-driven changes
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.
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