Keynote-Julie Sweet
19 Feb 2026 13:45h - 14:00h
Keynote-Julie Sweet
Summary
Speaker 1 introduced Julie Sweet, Accenture’s CEO, noting her role in turning the firm into a leading AI and technology transformation company [1-6]. Sweet thanked Indian leaders, highlighted the summit’s focus on global AI partnerships, and stressed India’s central role in the AI-enabled future [7-10]. She noted Accenture’s workforce of over 350,000 in India and one of the world’s largest AI teams linked to hubs across the US, Europe, the Middle East and Japan [10-12]. Sweet presented three guiding ideas: AI as the engine for global prosperity, the need for unprecedented reinvention, and the principle that humans, not just loops, must lead AI’s future [14-18].
Citing a 2013 Oxford study that predicted massive job automation, she explained how RPA and AI actually generated new jobs and helped Accenture grow revenue from $29 billion to $70 billion in ten years [20-21]. She argued that embracing new technologies drives growth, noting that 78 % of surveyed C-suite leaders view AI’s greatest value as growth [22-25]. Sweet emphasized that AI should make the impossible possible, giving examples of large-language-model-driven retail experiences and AI-shortened drug development timelines [26-33]. She highlighted that SMEs account for 50 % of global GDP and 70 % of employment in the Global South, so providing them AI access and talent is crucial for inclusive growth [36-39].
To that end, Accenture is building public-private partnerships, such as funding U.S. college internships at SMEs, which benefits both students and businesses [42-47]. She warned that advanced AI’s impact demands companies reinvent processes, create new entry-level roles, and adopt lifelong learning to develop AI-native talent [48-61]. Sweet called on governments to embed AI in education from primary school and to cooperate on global safety and industry standards, especially for sectors like pharma [66-74]. Concluding, she urged leaders to keep humans in the lead, uphold excellence, confidence and humility, and collaborate to ensure AI benefits everyone [75-84]. Speaker 1 closed by echoing Sweet’s tagline that AI should make the impossible possible, summarizing the optimistic outlook for AI-driven growth [87-88].
Keypoints
– AI must be used as an engine for growth, turning the “impossible into possible.”
Julie frames AI adoption as the only path to global prosperity and stresses that CEOs must demonstrate new products, services, and performance that were unattainable before AI - citing consumer-retail transformations and faster drug development as concrete examples. [15][26-33]
– Broad, equitable access to AI technology and talent is essential, especially for small- and medium-sized enterprises (SMEs).
She notes that SMEs generate 50 % of global GDP and 70 % of employment in the Global South, and calls for public-private partnerships (e.g., U.S. college internships) to deliver AI tools and skilled talent to these firms. [36-38][42-47]
– Companies, governments, and individuals must reinvent how they operate, learn, and collaborate.
Companies need to overhaul processes, invest in new entry-level roles, and adopt lifelong-learning models; governments must embed AI in education and co-create standards that enable safe, cross-border AI deployment, particularly in high-impact sectors like pharma. [52-69][71-76]
– Human leadership-not just “humans in the loop”-is the decisive factor for responsible AI adoption.
Julie emphasizes that technology is merely a tool and that leaders must set the vision, uphold excellence, confidence, and humility, and hold themselves accountable to ensure AI benefits everyone. [75-84]
Overall purpose/goal:
The address aims to persuade global leaders, businesses, and policymakers that AI’s transformative potential can only be realized through purposeful growth strategies, inclusive access, systemic reinvention, and strong human leadership, thereby positioning AI as a catalyst for shared prosperity.
Overall tone:
The speech begins with a formal, appreciative tone, shifts to an optimistic and visionary mood when describing growth opportunities, becomes more urgent and prescriptive while discussing inclusion and reinvention, and concludes with an inspirational, confidence-driven tone that stresses humility and collective responsibility. The progression moves from acknowledgment to rallying call to commitment.
Speakers
– Julie Sweet
– Role/Title: Chair and Chief Executive Officer, Accenture[S3][S2]
– Area of expertise: AI, technology transformation, consulting, digital services
– Speaker 1
– Role/Title: Moderator / Event host (introducing speakers)[S4]
– Area of expertise:
Additional speakers:
– (none)
Speaker 1 opened the session by thanking the previous presenter and introducing Ms Julie Sweet, Accenture’s Chair and CEO, noting how she has repositioned the firm as a global leader in AI and technology transformation, with a workforce deployed across every sector of the world economy [1-6].
In her opening remarks Sweet thanked Prime Minister Modi, Minister Vaishnav and the summit organisers, emphasizing the summit’s focus on worldwide AI partnerships and the pivotal role of India in an AI-enabled future. She highlighted that Accenture now employs more than 350 000 professionals in India and runs one of the largest AI workforces globally, tightly linked to AI hubs in the United States, Europe, the Middle East and Japan [7-12].
She then outlined three guiding ideas for the summit: (i) AI as an engine for growth is the only path to global prosperity; (ii) the agenda ahead is unprecedented, requiring companies, nations and individuals to reinvent how they work, collaborate and learn; and (iii) “humans in the lead, not humans in the loop.” [14-18]
Reflecting on the past, Sweet recalled the 2013 Oxford study that warned 47 % of U.S. jobs could be automated, and the subsequent fear that robotic process automation (RPA) would devastate services. She argued that, contrary to those predictions, RPA and digital AI created thousands of jobs and helped Accenture expand from roughly 275 000 employees and $29 billion in revenue in 2013 to over 750 000 staff and $70 billion today [19-21]. The lesson she distilled was that organisations and countries that embrace new technologies and channel them into growth and productivity prosper [22-25].
Building on that lesson, Sweet cited a recent quarterly survey of C-suite leaders across 20 countries, in which 78 % of companies reported having active C-suite involvement and 80 % said AI’s greatest value is in growth [22-25]. She stressed that AI must make the “impossible possible” – a CEO should be able to point to new products, services or performance levels that were unattainable before AI [26-28]. To illustrate, she described how large-language-model-driven retail experiences will become “the new mall,” creating entirely new ways for consumers to shop, and how AI can compress pharmaceutical drug-development timelines from the historic nine-year average to a fraction of that time, delivering life-saving medicines faster and boosting sales [29-33]. She added that AI is already beginning to generate new drugs, materials and products across many sectors [34-36].
Turning to inclusivity, Sweet highlighted that small- and medium-sized enterprises (SMEs) account for 50 % of global GDP and 70 % of employment in the Global South, making their access to AI technology and talent essential for equitable growth [36-38]. She warned that merely creating business opportunities for SMEs will not suffice; coordinated public-private partnerships are required to ensure genuine access [39-41].
As a concrete example, Sweet described Accenture’s collaboration with the U.S. college system, where the firm funds internships for students placed in SMEs. This arrangement benefits both parties: interns gain a higher chance of securing employment, while SMEs obtain cutting-edge talent [42-47].
She then addressed the broader imperative for corporate reinvention. Advanced AI’s power and speed demand that companies overhaul their processes, invest in reshaping workforces, and deliberately create sustained entry-level roles that serve as pipelines for future leaders and AI-native talent [48-61]. Entry-level jobs are evolving, requiring new skill sets and onboarding methods. Accenture will hire more entry-level staff this year than last, supported by a redesigned training programme [62-64].
Governments, she argued, must also reinvent themselves by becoming the primary credential for AI relevance, partnering with the private sector to embed lifelong learning into education systems, and starting AI curricula as early as primary school-a practice already underway in India [65-69]. She also called on individuals to rethink their own learning journeys, noting that formal education is no longer a destination and that continuous, lifelong learning will be required to keep pace with AI-driven change [66-68].
She called for global, cross-border standards that cover both safety and sector-specific applications such as pharmaceutical drug discovery, warning that fragmented national regulations would impede scaling and harm the most vulnerable [70-74]. She underscored the urgency of coordinated global collaboration to develop and adopt these standards quickly, warning that delays would diminish AI’s growth potential [70-73].
She reiterated that technology is merely a tool; it is human leadership that decides how AI is deployed. By placing “humans in the lead, not humans in the loop,” leaders must set vision, commit to reinvention, and collaborate to ensure safe, widespread AI adoption [75-84]. She linked this ethos to Accenture’s eight leadership essentials, especially the call for excellence, confidence and humility, and urged collective accountability to deliver a better future for all [80-85].
She acknowledged headlines forecasting fewer jobs and reduced human relevance, but argued that AI, when led responsibly, will create more opportunities rather than fewer [78-81].
Finally, Speaker 1 thanked Ms Sweet and echoed her key tagline that “AI should make the impossible possible,” encapsulating the summit’s optimistic outlook that AI, when guided by purposeful growth strategies, inclusive access, systemic reinvention and strong human leadership, can become a catalyst for shared prosperity [87-88].
Overall, Sweet’s address framed AI as a growth engine that must be made accessible, governed by global standards, and steered by human leadership to deliver inclusive prosperity. [87-88]
Thank you, Mr. Ankur Wara. Your perspectives on leveraging AI for social impact have undoubtedly added depth to the summit. And ladies and gentlemen, our next speaker is Ms. Julie Sweet, Chair and CEO, Accenture. Ms. Julie Sweet has repositioned Accenture as one of the world’s largest AI and technology transformation companies, deploying hundreds of thousands of professionals across every sector of the global economy. Her perspective on what AI adoption actually looks like at scale beyond the hype is grounded in hard operational reality. So please welcome the CEO of Accenture, Ms. Julie Sweet.
Thank you, Prime Minister Modi, Minister Vaishnav, and your outstanding teams for convening us for this critical summit around AI. The breadth of distinguished guests from around the world is a recognition of the importance of broad global partnerships to capture the incredible potential of AI and address the risks. It is also a recognition of the importance of India in our AI -enabled future. At Accenture, we’re incredibly proud to have over 350 ,000 and growing reinventors here in India. We also have one of the largest AI workforces in the world, tightly integrated with our growing AI hubs in the US, Europe, the Middle East, and Japan. And I want to take this time to thank all of our people in India for your incredible commitment to value.
And to our clients. Today, I want to leave you with three perspectives that we believe will help us ensure that AI’s immense potential. is captured for the benefit of all. First, using AI as an engine for growth is the only path for global prosperity for all. Second, the agenda ahead of us is unprecedented. Companies, countries, and individuals must reinvent how they work, how they work together, and how they learn. And finally, it is humans in the lead, not humans in the loop, that will determine our future. As we turn to the imperative for growth, I want to take you back for a moment to 2013. Oxford University had just published a widely read study that said based on technology progress at that time, 47 % of U .S.
jobs would be automatable. dire headlines and predictions soon followed one of those technologies was robotic process automation or rpa and there were predictions that it services would be badly damaged because it would automate so many jobs and in fact we used rpa to automate thousands of jobs and we also as an industry embraced the new technologies of digital and classical ai and we created many many more jobs we helped our clients adopt rpa and those who did created investment capacity to invest in new technologies and to grow and in fact the it services industry has thrived over the last decade including many of india’s most successful companies that you’ve heard from today At Accenture alone in 2013, we were roughly 275 ,000 people and $29 billion in revenue, and today we’re over 750 ,000 and growing and $70 billion in revenue.
What the last decade has taught us is a critical lesson. When companies and countries embrace new technologies and then use them to drive growth and productivity, they prosper. Advanced AI should be the same. In fact, in our latest quarterly survey of C -suites across 20 countries, they agree. 78 % of all companies are using C -suites. 80 % say AI’s greatest value is in growth. Now, as we think about what growth should look like, there’s two important considerations. First. AI should make the impossible possible. AI should make the impossible possible. If in a few years as a CEO, you cannot point to new products and services, new levels of performance that were not possible before, then you have not captured potential of AI.
Think about the consumer and retail industries. LLMs are about to become the new mall. This is an entirely new way to engage customers and to engage in commerce that did not exist in 2022. If you think about pharma, we see a path toward bringing drugs to market much faster than the average of nine years. Not possible before, which means that life -saving drugs will get to people faster and pharma will have accelerated sales. Growth. Growth. And we are just beginning to understand how AI will create new drugs, new materials, new products across industries. A second consideration around growth is that we must commit to providing access to the technology and the talent for small and medium -sized enterprises.
If we are to use AI as an engine for growth, we need to make sure that the engine for growth, these types, these size enterprises, have access. 50 % of the world’s GDP are small and medium -sized enterprises. And in the global south, it’s 70 % of employment. To do so, there will be lots of business opportunities. So many industries will serve small and medium -sized enterprises. But that will not be enough. Private and public partnerships will be critical to making sure there’s access. For example, we’re working with the U .S. college system where we’re funding internships of college students at small and medium -sized enterprises. It’s a win -win. Statistically, if you have an internship, you have a better chance of getting a job.
And it’s providing these enterprises access to some of the cutting -edge talent. And so we must make sure that we’re continuing to focus on the small and medium -sized enterprises. Now, I know, and we all know, that advanced AI is much more powerful than the technology advancements of the last decade. And, of course, that means that the impact is more profound. But that doesn’t change the critical lesson that AI must be used for growth and productivity. What it does change are the sets of actions, the time frame, the need for global collaboration, the need for more public and private partnerships, and the urgency of what we must do in order for AI to drive growth.
So companies, companies must be willing to reinvent how they operate, their processes, how they’ve been doing work for the last decades. Underneath the headlines of a failure of AI is mostly a failure to reinvent. Companies have to invest to reshape their workforces. And companies must commit to creating. Creating sustained entry -level jobs. Now, entry -level jobs makes economic sense. They’re the only way to create future leaders. And they bring needed, truly AI -native talent to each of our organizations. But AI fundamentally is changing what an entry -level job looks like. And so a commitment means we have to be intentional about changing the roles, investing in training, which is exactly what Accenture is doing. We will hire into more entry -level jobs this year than last year.
But the skills we require and the way we’re onboarding those individuals is fundamentally different. Now, countries must also reinvent. They must reinvent their role and how they work with the private sector. They have to themselves as governments become the best credential for why AI matters. They must work with the private sector to help create lifelong learning because education is no longer a destination. We have to have lifelong learning. India is doing a great job of embedding AI into the educational system, starting in primary school, and governments across the world will need to do so. At the same time, as countries are thinking differently, individuals have to think differently and recognize that formal education is no longer the destination.
But perhaps the biggest fundamental change that must be made is that companies and countries need to pound the table for global standards. These standards should apply to safety, but also to the industries where AI can make the greatest impact. For example, in pharma, if one country is allowing pharma companies to use the latest technologies to discover drugs, they should be able to make the greatest impact. If one country is allowing pharma companies to use drugs and then test drugs, but other countries don’t follow suit, it means that you won’t be able to scale, you won’t be able to bring it. And we know that most often that impacts the most vulnerable. now we have a view of course that we have to reinvent but as we think about that reinvention or to our future is the fundamental belief that it is humans in the lead not humans in the loop that will shape that future we should not confuse how you deploy ai responsibly of course all of our compliance programs have humans they have technology that doesn’t change the critical lesson that we’ve learned over and over again technology no matter how powerful is only a tool it is simply a tool it is leaders who decide how to use those tools It is leaders who decide to commit to reinvent, who dedicate their time to making sure that people come along the journey.
And it is leaders who must choose to work together to ensure the safe, widespread adoption of AI. There are lots of headlines today that predict less. Less jobs, less opportunity, less human relevance. We are here because we see a future of more. At Accenture, we live by eight leadership essentials, the qualities we believe we need to run our company. And one of them is particularly important. We expect leaders to lead with excellence, confidence, and humility. As we look to our collective future, we should have the confidence to have the unwavering belief that together we can make a future that is better for all. We also must hold ourselves individually and collectively accountable for executing on that belief with a high bar of excellence because our people around the world are counting on that excellence.
And finally, we must all have the humility to know that we cannot do this alone. Thank you very much.
Thank you so much, Ms. Julie Sweet. I think I can take a tagline out of her address, which says that AI should make the impossible possible.
“Accenture employs more than 350,000 professionals in India and views the country’s talent pool as central to its global AI strategy.”
The knowledge base notes that Accenture has over 350,000 employees in India and highlights India’s human capital as a key element of its AI strategy [S37].
“Minister Ashwini Vaishnav was thanked and participated in the summit.”
A source referencing Minister Ashwini Vaishnav’s remarks at the AI Impact Summit confirms his involvement [S39].
“A recent quarterly survey of C‑suite leaders across 20 countries found that 78 % of companies reported active C‑suite involvement in AI initiatives.”
The same quarterly survey is cited in the knowledge base, reporting a 78 % figure for active C-suite involvement [S8].
The discussion shows a clear alignment between the keynote speaker and the moderator on the pivotal theme that AI’s value lies in making the impossible possible. Beyond this shared tagline, the transcript does not reveal further points of convergence between the speakers.
Limited but strong consensus on the central message; this alignment reinforces a unified framing of AI’s purpose for the summit, signalling that future deliberations may build on this shared premise.
The exchange shows strong alignment rather than conflict. Julie Sweet’s detailed roadmap for AI‑driven growth, workforce development, SME access, standards, and human leadership is echoed by Speaker 1’s brief endorsement of the core message that AI should make the impossible possible. No substantive opposing viewpoints are presented.
Minimal – the speakers are largely in consensus, indicating a unified stance on leveraging AI for growth and societal benefit. This suggests that, at this summit, the focus is on building consensus around AI’s potential rather than debating divergent strategies.
Julie Sweet’s remarks steered the summit from a generic celebration of AI toward a nuanced roadmap that intertwines growth, inclusivity, governance, and human leadership. By juxtaposing historical lessons with bold future visions, she challenged fatalistic narratives, introduced the critical need for SME access and global standards, and reframed responsibility as a leadership issue rather than a technical one. Each of these pivot points expanded the conversation’s scope, prompting listeners to consider concrete policy actions, partnership models, and educational reforms, thereby shaping the discussion into a comprehensive call for coordinated, human‑centered AI deployment.
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.
Related event
