EPISODE · May 5, 2026 · 26 MIN
Why OpenAI and Anthropic Are Becoming Consultants
from The AI Daily Brief: Artificial Intelligence News and Analysis · host Nathaniel Whittemore
OpenAI and Anthropic are moving deeper into enterprise AI services, but NLW argues the real story is organizational readiness. The episode explores why “buy and hope” AI adoption keeps failing, why power users get blocked by company structures, and why the next phase of AI deployment requires leaders to redesign how work gets done. In the headlines: White House AI model review, new lab access agreements, and AI safety oversight.Check out the new AI Executive Catch-Up Program from AIDB Training: https://aiexecutivecatchup.com/April AI Usage Pulse Survey: https://tally.so/r/LZEyGyBrought to you by:KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG’s new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at www.kpmg.us/NavigateRackspace Technology – Run Palantir Foundry and AIP in production with a governed managed operating model https://www.rackspace.com/palantirGranola - The AI notepad for people in back-to-back meetings. 100% off your first 3 months with code AIDAILY at http://granola.ai/aidailyMercury - Modern banking for business and now personal accounts. Learn more at https://mercury.com/personal-bankingZenflow Work - Agents for knowledge work - https://zenflow.free/Drata - The agentic trust management platform - https://drata.com/Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/briefRobots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Our Newsletter is BACK: https://aidailybrief.beehiiv.com/Interested in sponsoring the show? [email protected]
What this episode covers
OpenAI and Anthropic are moving deeper into enterprise AI services, but NLW argues the real story is organizational readiness. The episode explores why “buy and hope” AI adoption keeps failing, why power users get blocked by company structures, and why the next phase of AI deployment requires leaders to redesign how work gets done. In the headlines: White House AI model review, new lab access agreements, and AI safety oversight.Check out the new AI Executive Catch-Up Program from AIDB Training: https://aiexecutivecatchup.com/April AI Usage Pulse Survey: https://tally.so/r/LZEyGyBrought to you by:KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG’s new paper, Agentic AI Untangled, gives leaders a clear framework to decide whether to build, buy, or borrow—download it at www.kpmg.us/NavigateRackspace Technology – Run Palantir Foundry and AIP in production with a governed managed operating model https://www.rackspace.com/palantirGranola - The AI notepad for people in back-to-back meetings. 100% off your first 3 months with code AIDAILY at http://granola.ai/aidailyMercury - Modern banking for business and now personal accounts. Learn more at https://mercury.com/personal-bankingZenflow Work - Agents for knowledge work - https://zenflow.free/Drata - The agentic trust management platform - https://drata.com/Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/briefRobots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Our Newsletter is BACK: https://aidailybrief.beehiiv.com/Interested in sponsoring the show? [email protected]
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Why OpenAI and Anthropic Are Becoming Consultants
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