We cut through the noise to map where AI stands now: consumer adoption, enterprise deployment, and the growing influence in science, media, and government. We unpack accelerating capabilities—from cognitive automation and agentic AI to multi-step workflows—plus the infrastructure engine behind it: data centers, chips, and the economics of training vs inference. Finally, we look ahead to what might come next and how fast change could accelerate.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC
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