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    Live coverage from TCS Summit North America 2026

    Welcome to our live coverage of TCS Summit North America 2026, coming to you from Monterey, California, October 28-30. Throughout the event, some of the region’s most senior business leaders, policymakers, innovators and global thinkers will consider the opportunities and challenges shaping business in the age of AI. After three years of experimentation and scaling, it is crystal clear that AI is not just a technology cycle, but a civilizational shift. Now, it’s time for enterprises to industrialize securely, responsibly, and at scale. Across fireside chats, panel discussions and keynote presentations, leaders will share how they are deploying AI to gain competitive advantage, scale their businesses and unlock true value. You can see the agenda here.

    Ambitious, adaptive, and allied on AI: Leadership lessons from three days in Monterey

    TCS Summit North America 2026 is done, and certain patterns kept surfacing among keynotes,  fireside chats, panels and watercooler conversations. As AI moves from pilots into everyday operations, it’s self-evident that the organizations forging forward share distinct traits.

    Recaps of each session are on our live blog.

    Here’s what resonated with us:

    • Orienting for outcomes: Before selecting a model or configuring an agent, the strongest leaders ask a fundamental question – what would actually move the needle? Over and again, delegates and speakers echoed this insight: position the target right, and tools and capabilities will follow suit, with the added benefit of having a baseline to measure against.
    • Longevity lies in learning: None of the speakers advocated managing AI from a remote or an aerial perspective. Instead, they unequivocally championed delving into the technology personally; testing, even failing, and reiterating. The consensus was that AI isn’t a passing tech cycle. It is changing the integral facets of work. As a practice, that means owning your learning along with your organizations’, preserving and bolstering hard-won expertise, and freeing people for the decisions that genuinely need human judgment.
    • AI needs allies not adversaries: Collaboration came up over and again, especially as enterprises tackle security and governance pitfalls. As AI adoption accelerates, so do the threats – and speakers in several sessions landed on the same answer independently: no single entity can go it alone, and pooling intelligence across industry ecosystems is how resilience gets built. The same logic applies inside the business. AI touches every function, so teams that partner across silos get further, faster.
    • Fortune favors the bold: But boldness, ambition and optimism in the AI frontier have less to do with grand gestures than with daily discipline. Weighing the appetite for innovation against the risk, banking incremental wins for confidence building, innovating slightly beyond comfort zones, and framing success as a shared goal – all allow organizations to reap the rewards of scaling AI.
    From the Bayshore back to the boardroom. After three days, leaders head home armed with insights, solutions, and avenues to meet their AI agenda.

    Key takeaways from day three of the TCS Summit North America 2026

    That’s a wrap on TCS Summit North America 2026. The final day gave executives plenty to consider and cogitate on, as they steer their organizations through immense change. Here’s what stood out:

    • Set a bold vision: Aarthi Subramanian, COO, TCS, urged leaders to aim high. Bold goals, she said, show colleagues exactly where the organization is heading and empowers them to propel the change.
    • Habits are a daily practice: Sanjib Sahoo of Ingram Micro underscored that transformation and boldness only stick when they are practiced every day, routinely. Leaders must go first, he said, but real success comes when those behaviors spread across the whole organization.
    • Let AI help humans flourish: Simon Sinek made a compelling case on nurturing human connection in the age of AI. His advice? Give talent a purpose, model and incentivize the right behaviors, and treat AI as a tool to enhance people – not replace them.
    • Touch the stones to cross the river: Closing the event, Amit Bajaj, TCS’ President, North America, returned to the stage to reflect on three days of ideas, learnings, opinions, and insights. Finding value was the stream flowing through, but, as Amit put it, each leader must contextualize a journey of discovery around their own business.
    That concludes our agenda: Amit Bajaj reflects on the three immersive, inspiring and impactful days of the TCS Summit North America 2026.

    Retaining the human advantage

    As AI ups capabilities by the day, what can humans still do that machines cannot? In the final session, Simon Sinek – renowned leadership expert, best-selling author and founder of The Optimism Company – sat with David Pogue for an expansive conversation on the possibilities and boundaries of Human+AI. Here’s what stood out:

    • Start with the ‘why’: The most inspiring organizations don’t lead with product features. They lead with why they do what they do. Put purpose and beliefs first, and you connect with people on a human level.
    • Don’t replace, reimagine: Strong AI deployments work alongside experts, not in place of them. Sinek offered the instance of agents identifying health risks – often more accurately than humans – yet nobody wants a computer telling them they have cancer. Human connection still counts for a lot, so let AI be the tool, not a substitute.
    • Build on behaviors: Don’t focus on giant leaps. Get a little better every day – that’s what drives long-term success. Reward the behavior behind those small, steady gains, and excellence builds across the whole workforce.
    Human connections carry a lot of currency, which should be capitalized on, says Simon Sinek in the final session of the Summit.

    Reinvent and repeat: leading growth in the AI era

    A transformation journey doesn’t follow a set pattern. In an inspiring session Sanjib Sahoo, President, Global Platform Group, Ingram Micro, shared what his organization learned as it moved toward a total reinvention. His three big takeaways for leaders:

    • Assets depreciate, intelligence appreciates: That idea drove Ingram Micro to fundamentally transform its business model – from distributing IT products to running an intelligent digital platform. After 47 years in operation, it was a bold pivot. Being willing to be vulnerable, and when needed, to pivot, is what made it possible.
    • Transformation must be in your DNA: Big tech shifts used to have an end goal. The AI era, he said, is different. Transformations must happen on a continuous basis, permeating through processes, and bringing people from across the business to create change together.
    • Boldness is a habit: Transformation means taking risks and making big calls. But nobody teaches boldness at school – the way to get comfortable with it is by practising every day. And the best leaders know they don’t have to go it alone. Frame transformation as a collective story, align individual motivations with company goals, and confidence will spread across the organization.
    Pivoting is part of the process of transformation, said Sanjib Sahoo, in conversation with Stephanie Mehta.

    Big on belief, bold on goals: how enterprises go AI-native

    The conversation on AI shifted, over the past year, said Aarthi Subramanian, Executive Director, President, and Chief Operating Officer, TCS. It’s no longer about ‘How can we use AI?’ It now centers on ‘How do we deploy it at enterprise scale?’

    What are leading organizations doing to stay ahead of the shift? They’re focusing on three areas: transforming operations, modernizing defenses and reimagining processes.

    At TCS, Aarthi’s answer is deceptively simple: set bold goals. It can seem daunting, but it paints a clear picture of what success looks like, and gets everyone pulling in the same direction.

    Her parting thought was on optimism. To her, belief, conviction and confidence matter. These, she said, are qualities that let enterprises move faster and push boundaries.

    Think big and lead with conviction exhorted TCS COO Aarthi Subramanian, at the last day of TCS Summit North America 2026.

    Day three at the TCS Summit North America 2026

    Welcome to day three – the final day of the TCS Summit North America 2026 here in Monterey, California. We’ve got a strong line-up to finish with!

    TCS COO Aarthi Subramanian begins the day by exploring what it takes for an enterprise to become truly AI-native.

    After that, Sanjib Sahoo, President, Global Platform Group of Ingram Micro, joins Stephanie Mehta on stage to talk about how businesses can unlock growth.

    Simon Sinek, the renowned leadership expert, best-selling author and founder of The Optimism Company, will then chat with David Pogue about leading in the AI era – and what humans uniquely bring to the table.

    Finally, Amit Bajaj, President, North America, TCS, will bring the summit to a close.

    A quiet space for a calm moment at the Summit, before activities kick into high gear.

    Previous days

    Key takeaways from day one of the TCS Summit North America 2026

    As day one wraps and delegates reconvene for the opening reception, here are three key takeaways:

    • Challenges create opportunities: Jacob Shapiro's journey through historic periods of geopolitical uncertainty brought home to bear how these are also inflection points for innovation, and open new pathways to growth and progress.
    • Charting the course: In ambiguous times, staying supple, agile and ready to pivot is the pragmatic path for leaders, as Shapiro said.
    • Human+AI with humans first: Rapid leaps forward may be the defining tagline for AI, but Amit Bajaj's opening address reminded us about the constant strides humans are taking in pursuit of passion and excellence.

    Tomorrow will be another day of insightful conversations and fresh perspectives. Explore the agenda here.

    Rapt delegates at the action-packed opening of the TCS Summit North America, 2026.

    Geopolitics, multipolarity, and the AI revolution.

    Geopolitical analyst Jacob Shapiro took the stage next, for a broad discourse on the interconnections between global affairs and technology.

    He began by expostulating on the rise of multipolarity globally, characterized by increasingly decentralized authority and shifting power dynamics. Though these changes create a challenging backdrop to operate within, he noted that these times of flux have also historically driven significant technological innovation – with AI emerging as a defining force for this era.

    AI is revolutionizing how the world works, and empowering individuals and organizations to realize new ambitions. But, as with any fundamental shift, its effects will sometimes be felt unevenly and new hurdles will disrupt deployment.

    That isn't necessarily a caution to course correct by standing still or slowing down. Instead, in the face of infrastructure, cybersecurity, privacy, and data sovereignty challenges, Shapiro advised leaders to account for geopolitics, retain the flexibility to change course as needed, and crucially, invest in capabilities that will help humans deploy AI safely and effectively.

    Jacob Shapiro discusses the intersections of geopolitics and technology, and how history can inform the future.

    Welcome address: Unlocking AI value and celebrating human achievement.

    The TCS Summit North America 2026 is officially underway. 

    After an introduction from David Pogue and Stephanie Mehta, our masters of ceremony,  Amit Bajaj, President, North America, TCS, welcomed delegates to the event.

    He summarized some AI challenges and opportunities that will shape discussions over the coming days, including maintaining a competitive edge while deploying AI, building trust and security, and understanding the economics involved.

    These are complex issues that are evolving quickly, fueling conversations about how frontier models continue to expand the boundaries of possibility. He encouraged attendees to take the time to celebrate the achievements of people, too - reflecting on how earlier this year at the TCS London Marathon, Sebastian Sawe became the first person to break the two-hour marathon barrier.

    It was a timely reminder to look out for the uniquely human moments that propel the world even as AI shapes the conversations to come.

    At the TCS Summit North America 2026, set to discuss all things AI, Amit Bajaj shifts the spotlight to the scope of human achievement in his welcome address.

    TCS Summit North America 2026 opens in California

    Hello and welcome to the TCS Summit North America 2026, coming to you live from Monterey, California.

    Over the next three days, C-suite executives and leaders from government, sports, business and technology will come together to explore the rapidly evolving world of artificial intelligence and the future of enterprise.

    Today, Amit Bajaj, TCS’ President, North America, will open the summit alongside Stephanie Mehta, CEO of Mansueto Ventures. Together, they will discuss the state of North America's AI agenda and what's next for businesses navigating this transformation.

    Then, analyst Jacob Shaprio will sit down with Emmy-winning CBS Sunday Morning correspondent, David Pogue, to explore how technological innovation is reshaping geopolitics.

    Follow our live coverage on this page to see the key takeaways from each session.

    Discussions and dialogues over three dynamic days will revolve around harnessing the potential of AI, and moving it from experimentation to scale.

    Key takeaways from day two of the TCS Summit North America 2026

    When the conversations have been this scintillating, it’s impossible to pick a few insights to focus on. Here are a few themes that resonated through the day, with several speakers offering their outlook.

    • Problems before platforms: Panelists underscored this point repeatedly: successful AI deployment starts with knowing the desired outcome. Pin down the problems worth solving, and it’s far easier to see where AI tools and models can deliver meaningful business value.
    • Lifelong learning starts with leaders: The case for continuous development was resolved definitively. To unlock AI’s full value at enterprise scale, executives need to own their learning, and that of their teams. Developing institutional knowledge, preserving expertise, and freeing human capital for strategic and discretionary decisions are integral to the process of scaling AI.
    • Stronger security through sharing: AI adoption is speeding up and so are the security and risk challenges that come with it. The fix? Several speakers in different sessions were of the same mind: share what you know, work across industry ecosystems and build cyber resilience together.

    Join us tomorrow for our third and final day. Check out the agenda here.

    Day two delivered diverse and practical perspectives on how to scale AI successfully, with panelists converging on a foundation of learning and collaboration.

    Balance, experiment, learn: Leading in the AI age

    What does it really take to lead when the ground is shifting beneath your feet? As day two at TCS Summit North America 2026 draws to a close, Nikesh Arora, Chairman & Chief Executive Officer, Palo Alto Networks, tackles that tough question with refreshingly pragmatic answers. Instead of canned platitudes and grand declarations, he served up straightforward suggestions on how to lead in the AI age.

    Top of his list is knowing how to balance the appetite for innovation with the discipline of risk management. It’s a tightrope many leaders are walking right now, and his approach was two-pronged.

    First, start with focused projects where AI can be put to work to drive clear business outcomes. These early wins matter, he explained, because they build confidence. Next, even as leaders focus on the nitty-gritty, they need to consider blue-sky applications with a clear-eyed assessment of whether the risks can be managed. If they can, they should go forth and experiment. The willingness to explore, he said, can lead to huge efficiencies and productivity gains.

    Underlying it all is the willingness to learn – and Arora practises what he preaches. When ChatGPT launched, he appointed himself Palo Alto Networks’ Chief AI Officer, with a canny understanding that he needed to evaluate the tech himself before he could assess the approach others in the organization were taking.

    Nikesh Arora, in a forthright and freewheeling conversation with Stephanie Mehta, about what it takes to lead.

    Insights from the playbooks of leaders scaling AI successfully

    Scaling AI is dominating the day’s discussions because it’s the defining challenge at this juncture of the tech cycle. In a panel moderated by Amit Kapur, Chief AI and Services Transformation Officer, TCS, leaders shared how they are driving AI adoption to scale across their organizations:

    • Unlearn the past: AI is unlike anything seen before, said DJ Sampath, Senior Vice President and General Manager, AI Software and Platform, Cisco. Stepping back and being willing to start with a blank slate is necessary. It’s only with an open mind that new learnings can be etched in and expanded on.
    • Lead with process: Technology can fundamentally change; the process of scaling doesn’t, said David Burns, Chief Information Officer, GE Aerospace. Educating the workforce matters, but his advice is to start with processes – make them clean and lean – before applying technology.
    • Build on what you have: McDermott International, Inc. is tapping years of institutional knowledge to build small language models, says Vagesh Dave, Global Vice President and Chief Information Officer. The payoff? Value. Expertise is preserved, while new efficiencies and competitive advantages are unlocked through AI.
    • Know how to measure success:  It’s not about how much AI you implement, but how well you deploy it, said Amber Shultz, Cabinet Secretary, Kansas Department of Labor. In her organization, AI counts as a win when colleagues spend more time thinking strategically and can better serve workers across the state.
    • Governance is foundational: No strong governance, no scaling. That was the core message from Kevin Bates, Chief Data Officer, T. Rowe Price. Accurate data is the starting point, but organizations also need to be sure what they plan to deliver is valuable to customers. Only then can they explore how AI will help them innovate and grow.
    L to R: Amit Kapur, TCS; David Burns, GE Aerospace; Kevin Bates, T. Rowe Price; Vagesh Dave, McDermott International, Inc.; Amber Shultz, Kansas Department of Labor; DJ Sampath, Cisco.

    Collaborating to create competitive advantage

    AI agents going rogue and infiltrating organizations? After the recent wave of high-profile incidents, cybersecurity in the AI age is front of mind for global leaders everywhere. How can resilience be improved?

    With agents increasingly evading traditional cyber defenses, Rajat Taneja, President, Technology, Visa, rang the bell: a collaborative approach is essential to deploy AI and strengthen defenses.

    Visa has just put that into practice, releasing the Visa Vulnerability Agentic Harness as an open-source tool available to all, helping enterprises identify weaknesses and take corrective action.

    The path ahead lies in sharing solutions like these, he said, for every organization to have a firmer footing in collectively combating bad actors. From this foundation, each enterprise can focus on its own strengths – and gain competitive advantage.

    Taneja also turned his attention to consumer impacts. As agentic shopping becomes more widespread, it marks a fundamental shift that raises important questions about trust, responsibility and control. For the technology to succeed, he believes businesses must create ways for users to clearly manifest their intent, pairing their human accountability and judgment with agentic actions.

    Rajat Taneja, Visa, emphasized that knowledge sharing is the strongest enterprise cyber defense barrier.

    Generating buy-in for AI across the enterprise

    Accessing AI tools is the easy part. Getting people to adopt them is where it gets tricky. In the day’s first panel, executives from across industries shared how they’re bringing their teams along. Three themes stood out:

    • Build on strengths: For Merrie Williamson, Chief Growth Officer, Pearson, AI rollout starts with spotting the strengths that her talented teams already have. She encouraged leaders to meet people where they are, and offer multimodal, personalised learning opportunities that suit them. This empowers teams to recognize the direction of development and lean into the change.
    • Make communication personal: Mark Kempic, President and Chief Operating Officer, Columbia Gas of Pennsylvania and Maryland, said transparency drives AI adoption. He doesn’t just share regular implementation updates – he joins user acceptance testing sessions, helping employees see what new tools can do and steer the change.
    • Find champions and let them lead: Colleagues at Huntington Bank take real pride in their work, said Prashant Nateri, Executive Vice President and Chief Corporate Operations Officer. It was vital to show them inspirational, real-world uses of AI and how they can be applied. By recognizing power users and convincing managers, the bank has built development chains that that allow teams to clearly see the value of the technology.
    L to R: Host Stephanie Mehta; Merrie Williamson, Pearson; Prashant Nateri, Huntington Bank; and, Mark Kempic, Columbia Gas of Pennsylvania and Maryland.

    Clarity, clean data, and continuous change: Google Cloud’s CEO on scaling AI

    How do you move AI from experiment to everyday operations? At our first fireside session, Thomas Kurian, CEO, Google Cloud, kept it simple: find clarity, then take it one step at a time.

    Start with objectives that can be clearly targeted. This offers leaders a baseline and a way to measure what’s working. Next, get your data in order. Kurian’s caution: if models aren’t fed the correct information, they will not deliver the desired results.

    He also advised leaders not to treat enterprise AI deployment as a traditional IT project. It cuts across departments and every level of the organisation, so it calls for a different mindset – an iterative one that lets business and technology teams both accomplish their goals.

    Thomas Kurian steps through the checklist required for AI initiatives to take flight, in conversation with Stephanie Mehta.

    From foundational infrastructure to advanced intelligence

    No softballs to warm up; TCS CEO & MD, K. Krithivasan began day two of TCS North America Summit 2026, by pitching the poser on everyone’s minds – how do enterprises move beyond AI experimentation?

    Anchored in real-world situations, he broke down the problem to its constituent parts and offered some practical advice on orchestrating enterprise intelligence and translating it into measurable outcomes.

    • Identify the problems worth solving: Find the AI opportunities and use cases that have the most value. By beginning with the critical problems, the right models and architectures can be chosen and implemented. To walk the talk, Krithi offered examples of how TCS has helped organizations deploy AI – from boosting productivity in retail businesses, preventing wildfire fatalities, and speeding up drug discovery for pharmas.
    • Take a full-stack, continuous view of defense: While AI creates new cyber risks, it also offers new solutions. As intelligence permeates physical and digital operations, Krithi emphasized that security, governance and assurance have to run across all layers.
    • Stay curious: Within TCS, large-scale training and hackathon events have significantly upped internal capabilities, which then boost TCS’ ability to create solutions for customers. Krithi underscored this approach to continuous learning across all levels, for organizations to thrive.
    K. Krithivasan, CEO & MD, TCS, addresses the echoing question: how to move from AI pilots to value.

    Day two at the TCS Summit North America 2026

    Welcome to the second day of the TCS Summit North America. Our speakers today, with their vast array of experience and expertise, are here to consider, contemplate and converse on the many ways to unlock value with AI.

    TCS CEO & MD K. Krithivasan begins the day by deliberating on what leadership needs when deploying AI at an enterprise level.

    Google Cloud CEO, Thomas Kurian will sit down for our first fireside discussion, on how organizations can navigate the next era of AI and cloud technology.

    Next up will be an unmissable panel discussion on how businesses can realize the true value of AI, where executives from Pearson, Columbia Gas of Pennsylvania and Maryland, and Huntington Bank, tackle the issue from their diverse perspectives. And after, Rajat Taneja, President, Technology at Visa will discuss turning the technology into competitive advantage.

    Later in the afternoon, leadership from T. Rowe Price, GE Aerospace, McDermott International, and Cisco and TCS will pow-wow on the question that looms large at this stage of the technology cycle: how to scale AI effectively.

    To close out an exciting day, we have a discussion with Nikesh Arora, Chairman & Chief Executive Officer, Palo Alto Networks, on leading with confidence.

    The TCS North America Summit 2026 has a high-octane, stack-packed roster ahead on Day 2.

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