AI is reshaping the technology industry, but the questions facing its leaders go well beyond model performance. How much infrastructure should companies build? Who will own enterprise intelligence? How will AI agents change software, security, and the way people work? This selection of interviews, published October 20–30, 2026, brings together perspectives from leaders at AWS, Microsoft, Amazon, NVIDIA, IBM, Palo Alto Networks, OpenAI, and Google. The conversations offer a useful view of where these companies are placing their bets—and the practical and economic challenges ahead.
Oct. 30, 2026 – Matt Garman — AWS – Bloomberg Tech / Ed Ludlow
Main topics: Cloud growth, AI demand, and funding infrastructure expansion.
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Oct. 26, 2026 – Satya Nadella — Microsoft – 20VC / Harry Stebbings
Main topics: Open versus closed models, trusting AI agents, owning enterprise intelligence, and AI economics.
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Oct. 23, 2026 – Andy Jassy — Amazon – a16z / Ben Horowitz and Erik Torenberg
Main topics: AI infrastructure investment, AWS’s growth potential, inference costs, and AI’s impact on Amazon’s operations.
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Oct. 21, 2026 – Jensen Huang — NVIDIA GTC Berlin Keynote
Main topics: AI infrastructure demand, neoclouds, investment spending, and Europe’s AI opportunity.
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Oct. 21, 2026 – Arvind Krishna — IBM & Nikesh Arora — Palo Alto Networks – All-In
Main topics: Quantum threats to encryption, open-weight versus frontier AI, cyber warfare, and software consolidation.
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Oct. 21, 2026 – Sam Altman — OpenAI – Matthew Berman
Main topics: Recursive self-improvement, AI consciousness, scientific discovery, personal assistants, and hardware ambitions.
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Oct. 21, 2026 – Sundar Pichai — Google / Alphabet – Sources / Alex Heath
Main topics: Gemini, DeepMind leadership, compute shortages, AI infrastructure spending, personal agents, Waymo, and quantum computing.
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Oct. 20, 2026 – Sundar Pichai — Google / Alphabet – Big Technology / Alex Kantrowitz
Main topics: Competition with OpenAI, compute allocation between AI research and Cloud customers, AI agents, monetization, and Apple/Anthropic partnerships.
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