The AI agent ecosystem is rapidly advancing, characterized by considerable hype and overwhelming choices. In this session, we provide an overview of the AI agent ecosystem, highlight key players and outline evolving deployment models to help IT leaders drive business value.
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A
Speaker
Arun Chandrasekaran
5
talks
Arun Chandrasekaran is a Distinguished Vice President, Analyst at Gartner, within the global CIO practice, where his research focus is on artificial intelligence. Arun spearheads Gartner's research and advisory on Generative AI, including leading popular research notes such as AI Predicts and Hype Cycle for Generative AI. Arun is a trusted advisor to executive and IT leaders, which includes the board of directors, CEOs, CIOs, CTOs, and their direct reports. He has advised thousands of CIOs, CTOs, and conducted hundreds of workshops for several Global 2000 organizations on AI, Cloud, and Innovation. In addition, he covers the start-up ecosystem closely, advising venture capitalists and tech CEOs. His views have been featured in media such as Wall Street Journal, New York Times, The Economist, BBC, Reuters, Bloomberg, Fortune, Fast Company, Forbes and Computerworld.
Bio from: gartner-data-analytics-us-2026
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Generative AI technologies and techniques are evolving at an unprecedented pace, accompanied by significant hype, making it challenging for leaders to navigate this dynamic landscape. AI leaders can leverage this Hype Cycle to identify the innovations most worth pursuing as they shape and execute their AI strategies.
Overlooked risks and unintended consequences of GenAI can disrupt operations, ethics, security and value realization. CDAOs should understand the second- and third-order effects of GenAI adoption and proactively address hidden challenges to safeguard their organizations’ competitiveness and resilience.
This session will explore how generative AI technology will evolve over the next decade, moving from large, general-purpose models to agentic, multimodal and deeply personalized systems. IT leaders will gain foresight into the architectural, ethical, and strategic shifts that will define the next wave of enterprise AI.
The enormous potential business value of AI will not materialize spontaneously. AI leaders should guide their organizations toward an era in which AI is not only creating tangible business value but goes beyond to become a critical competitive differentiator and industry disruptor.