Keynote-Julie Sweet
19 Feb 2026 13:45h - 14:00h
Keynote-Julie Sweet
Summary
The session opened with Speaker 1 introducing Julie Sweet, CEO of Accenture, and highlighting the firm’s position as a leading global AI and technology transformation company with a massive workforce ([1-6]).
Sweet thanked Indian leaders for convening the summit, noted Accenture’s 350,000-plus employees in India and its extensive AI workforce across multiple regions, and outlined three guiding perspectives: AI as a growth engine, the unprecedented agenda ahead, and the primacy of human leadership ([7-14][15-18]).
She recalled how Accenture used robotic process automation in 2013 to create thousands of jobs and, over the decade, grew from 275,000 staff and $29 billion revenue to over 750,000 staff and $70 billion, illustrating that embracing new technologies drives prosperity ([20-22]).
A recent C-suite survey across 20 countries showed that 78 % of companies are already using AI and 80 % view its greatest value as growth, reinforcing the business case for AI adoption ([24]).
Sweet argued that AI must make the “impossible possible,” citing how large language models will transform retail engagement and how AI could cut drug development timelines from nine years to much shorter periods, thereby creating new products and saving lives ([26-28][30-33]).
She emphasized that small and medium-sized enterprises (SMEs) generate about 50 % of global GDP and 70 % of employment in the Global South, and that ensuring their access to AI technology and talent will unlock substantial business opportunities ([36-38]).
To achieve this, she highlighted public-private partnerships such as funding internships for college students at SMEs, which improve hiring outcomes and provide cutting-edge talent to these firms ([43-46]).
Sweet warned that advanced AI’s power heightens the need for global collaboration, faster action, and stronger public-private cooperation to translate AI into productivity gains ([48-51]).
She called on companies to reinvent processes, invest in reshaping workforces, and create sustained entry-level jobs with AI-native skills, noting Accenture will hire more entry-level staff this year with redesigned training programs ([52-64]).
Governments must also adapt by embedding AI in education from primary school, fostering lifelong learning, and establishing common safety and industry standards-especially in sectors like pharma where divergent regulations hinder scaling breakthroughs ([65-70][71-75]).
Central to her message was the belief that “humans in the lead, not humans in the loop,” meaning leaders must decide how to use AI responsibly and collaboratively rather than relying on technology alone ([75-79]).
She concluded by invoking Accenture’s eight leadership essentials, stressing confidence, humility, and collective accountability as the foundation for a future where AI benefits all ([80-86]).
Speaker 1 closed by echoing Sweet’s tagline that AI should make the impossible possible, underscoring the summit’s overarching optimism ([88]).
Keypoints
Major discussion points
– AI as a catalyst for growth and “making the impossible possible.”
Julie Sweet frames AI as the sole path to global prosperity, urging CEOs to showcase new products, services, and performance that were previously unattainable – from retail-focused LLM “malls” to dramatically faster drug development [15-18][26-33][34-35].
– Ensuring inclusive access for small- and medium-sized enterprises (SMEs) and the Global South.
She stresses that 50 % of world GDP and 70 % of Global South employment come from SMEs, calling for public-private partnerships, internship programs, and talent pipelines to give these firms the AI tools and expertise they need [36-48].
– A systemic reinvention of companies, governments, and individuals.
Companies must redesign processes, invest in AI-native entry-level roles, and adopt lifelong learning; governments need to embed AI in education and co-create standards that enable safe, cross-border scaling of high-impact sectors such as pharma [52-74].
– Human leadership-“humans in the lead, not just in the loop.”
Sweet argues that technology is merely a tool; decisive, humble, and collaborative leaders must set the agenda, uphold safety standards, and drive responsible, widespread AI adoption [75-86].
Overall purpose / goal of the discussion
The session was intended to convey Accenture’s strategic vision for AI at scale: to harness AI as a growth engine, democratize its benefits across all enterprise sizes and regions, and mobilize coordinated action among businesses, governments, and individuals-anchored by strong, ethical leadership-to realize AI’s promise for “the benefit of all” [14-18].
Overall tone and its evolution
– The opening remarks are formal and appreciative, thanking Indian leaders and highlighting the summit’s significance [7-10].
– Sweet’s address then shifts to an optimistic, confident tone, emphasizing AI-driven prosperity and concrete industry examples [15-33].
– Mid-speech the tone becomes urgent and prescriptive, calling for immediate partnerships, workforce transformation, and global standards [48-51][52-74].
– The concluding segment adopts an inspirational and humble tone, stressing leadership virtues-excellence, confidence, humility-and a collective responsibility to shape a better future [75-86].
Overall, the conversation moves from gratitude to optimism, through urgency, and ends on a rallying, humble call to action.
Speakers
– Speaker 1
– Role/Title: Event moderator / host (introduces the keynote speaker) [S1]
– Area of Expertise:
– Julie Sweet
– Role/Title: Chair and CEO, Accenture [S5]
– Area of Expertise: AI and technology transformation, business strategy, digital innovation
Additional speakers:
The session opened with Speaker 1 formally introducing the next presenter, Julie Sweet, Chair and CEO of Accenture, and underscoring the firm’s stature as a leading global AI and technology-transformation organisation that deploys hundreds of thousands of professionals across every sector of the world economy [1-6].
Julie Sweet began by thanking Prime Minister Modi, Minister Vaishnav and the summit organisers, and she highlighted the breadth of the international audience as evidence of the need for broad partnerships to harness AI’s potential while managing its risks [7-10]. She then noted that Accenture employs more than 350,000 “reinventors” in India and that the company maintains one of the world’s largest AI workforces, tightly linked to AI hubs in the United States, Europe, the Middle East and Japan [11-13].
She framed the remainder of her address around three guiding perspectives: (i) AI as an engine for growth; (ii) an unprecedented agenda that requires reinvention of work, collaboration and learning; and (iii) humans in the lead, not merely in the loop [14-18].
To illustrate the power of technology-driven reinvention, Sweet recalled the 2013 Oxford study that warned 47 % of U.S. jobs could be automated and the subsequent hype around robotic process automation (RPA) [19]. She explained how Accenture and the broader IT-services industry embraced RPA, digital tools and classical AI, creating thousands of new jobs and enabling clients to invest in further innovation [20]. The lesson she drew was that organisations that adopt new technologies and channel them into growth and productivity prosper [21-22]; she argued that advanced AI should follow the same trajectory [23-24].
She then argued that AI’s greatest value lies in making the impossible possible [26-28]. In retail, large-language models will become “the new mall”, offering a wholly novel way to engage customers that did not exist in 2022 [30-32]. In pharmaceuticals, AI can compress the average nine-year drug-development cycle to a fraction of that time, accelerating life-saving treatments and boosting sales [33-34]. These early examples merely hint at AI’s capacity to create new drugs, materials and products across industries [35].
A central pillar of her vision is inclusive access for small- and medium-sized enterprises (SMEs). Sweet highlighted that SMEs generate roughly 50 % of global GDP and account for 70 % of employment in the Global South, according to the speaker [36-38]. She warned that merely creating business opportunities for SMEs will be insufficient without coordinated public-private partnerships [41-42].
To illustrate such partnerships, she described Accenture’s collaboration with the U.S. college system, which funds internships for students at SMEs [43-46]. This “win-win” model improves graduates’ employment prospects while delivering cutting-edge AI talent to smaller firms, thereby reinforcing the need to keep SMEs at the centre of AI deployment [47].
Sweet stressed that the unprecedented power of today’s AI heightens the urgency for global collaboration, faster action and stronger public-private cooperation to translate AI into productivity gains [48-51]. Companies, she argued, must be willing to reinvent how they operate, their processes, and how they have been doing work for decades, and they must invest in reshaping their workforces [52-57]. She announced a concrete hiring commitment: “We will hire into more entry-level jobs this year than last year” [34]. Moreover, “the skills we require and the way we’re onboarding those individuals is fundamentally different” [35-36]. Entry-level roles are the pipeline for future leaders, but AI is reshaping what those roles look like, requiring intentional redesign of job descriptions and training programmes [58-64].
Governments must also reinvent their roles. They need to partner with the private sector, become the “best credential for why AI matters”, and embed AI learning from primary school onward, fostering lifelong learning because “formal education is no longer the destination” [65-70]. This aligns with broader calls for systemic educational reform to support AI-native talent [S12][S14].
A further imperative is the creation of harmonised global standards that cover safety and sector-specific impacts, especially in high-stakes fields such as pharma. Without aligned regulations, breakthroughs in drug discovery cannot be scaled, leaving the most vulnerable populations behind [71-75][S36].
Underlying all these recommendations is the philosophy that technology, no matter how powerful, is only a tool; it is leaders who decide how to use those tools [75-79][S35]. Sweet concluded by invoking Accenture’s eight leadership essentials, urging leaders to act with excellence, confidence and humility, to hold themselves accountable for delivering on the promise of AI, and to recognise that the challenge cannot be met alone [80-86].
Speaker 1 closed the segment by thanking Julie Sweet and highlighting her tagline, “AI should make the impossible possible,” as a guiding theme for the summit [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 is a leading global AI and technology‑transformation organisation that deploys hundreds of thousands of professionals across every sector of the world economy.”
The knowledge base describes Accenture as “one of the world’s largest AI and technology transformation companies” and highlights its global reach, confirming its leading status and large workforce [S6].
“Accenture employs more than 350,000 “reinventors” in India and maintains one of the world’s largest AI workforces.”
The source reports that Accenture has “over 350,000 employees in India and growing,” and notes that India’s talent pool is central to the company’s global AI strategy, supporting the claim about the size of its Indian AI workforce [S52].
The primary point of consensus is the shared emphasis on AI making the impossible possible, reflecting a common belief in AI’s transformative potential. Beyond this, the discussion is dominated by Julie Sweet’s extensive agenda, with limited direct overlap from Speaker 1.
Limited but clear consensus on the core slogan; broader agreement on detailed policy measures is absent, suggesting that while the vision of AI as a breakthrough tool is shared, concrete strategies remain speaker‑specific.
The transcript shows strong alignment rather than conflict. Julie Sweet’s detailed arguments about AI as a growth engine, SME inclusion, talent development, and human leadership are echoed by Speaker 1’s brief endorsement of the “AI should make the impossible possible” tagline. No speaker presents a contrasting viewpoint, resulting in an overall atmosphere of consensus.
Minimal disagreement; the lack of opposing positions suggests smooth collaboration and shared objectives, which bodes well for coordinated policy and industry action on AI.
Julie Sweet’s address introduced a series of interlocking ideas—historical precedent for growth, inclusive access for SMEs, a leadership‑first philosophy, workforce reinvention, education reform, and the need for global standards—that collectively shifted the conversation from abstract AI hype to concrete, actionable strategies. Each pivotal comment acted as a catalyst, opening new sub‑topics, reframing existing concerns, and deepening the analysis of AI’s societal impact. The brief echo by Speaker 1 reinforced the keynote’s central thesis, ensuring that the summit’s subsequent dialogue would be anchored around the ambition of making the impossible possible.
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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