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In this special encore episode from AWS re:Invent, AWS CEO Matt Garman joins Acquired podcast co-hosts Ben Gilbert and David Rosenthal for an in-depth conversation on AI, agents, and the future of business. Listen in as...
Acquired at re:Invent: AWS CEO Matt Garman on AI, Agents, and the Future of Cloud Computing is an episode from AWS - Conversations with Leaders by Amazon Web Services. In this special encore episode from AWS re:Invent, AWS CEO Matt Garman j...
This episode belongs to AWS - Conversations with Leaders.
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Published Jan 6, 2026, 00:36:32 long, audio available.
In this special encore episode from AWS re:Invent, AWS CEO Matt Garman joins Acquired podcast co-hosts Ben Gilbert and David Rosenthal for an in-depth conversation on AI, agents, and the future of business. Listen in as Garman shares his leadership journey from AWS intern to CEO, discusses why inference is becoming a fundamental building block for developers, and reveals how AI is enabling smaller teams to deliver exponentially more value. He also explores the organizational shifts enterprises must make to stay competitive, the evolution of agentic AI, and why agility and speed remain critical regardless of technological change. To catch the full interview session featuring additional speakers, Max Neukirchen (J.P. Morgan Payments), Greg Peters (Netflix), and Aravind Srivinas (Perplexity), click here to watch on YouTube ->
You can listen to Acquired at re:Invent: AWS CEO Matt Garman on AI, Agents, and the Future of Cloud Computing online on Radio and Podcast. Open the player on this page to stream the available audio.
Acquired at re:Invent: AWS CEO Matt Garman on AI, Agents, and the Future of Cloud Computing is an episode from AWS - Conversations with Leaders by Amazon Web Services.
This episode is 00:36:32 long.
This episode was published on Jan 6, 2026.
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Acquired at re:Invent: AWS CEO Matt Garman on AI, Agents, and the Future of Cloud Computing is from AWS - Conversations with Leaders by Amazon Web Services.
Published Jan 6, 2026 and 00:36:32 long