275 | Knowledge work as we know it is over, self improving agents loops connected to Microsoft or Google eco systems are now possible, build entire software suite autonomously, Meta is cutting 20% of it’s workforce, & more AI news for Mar 13, 2026 episode artwork

EPISODE · Mar 14, 2026 · 1H 2M

275 | Knowledge work as we know it is over, self improving agents loops connected to Microsoft or Google eco systems are now possible, build entire software suite autonomously, Meta is cutting 20% of it’s workforce, & more AI news for Mar 13, 2026

from Leveraging AI · host Isar Meitis

What happens when AI stops helping with work—and starts doing the work itself?This episode connects a set of developments that business leaders should not ignore. From Sequoia’s thesis that AI is replacing services, not just software, to Anthropic’s findings that AI adoption is still far behind AI capability, the message is clear: the bottleneck is no longer technology. It is implementation.The bigger takeaway is even more important. Google, Microsoft, and Anthropic all released capabilities this week that make autonomous, business-ready AI workflows far more practical than they were even a few months ago. For leaders, that means the window to experiment is still open—but it may not stay open for long.In this session, you'll discover:Why AI is increasingly targeting work itself rather than the software layer around itThe difference between intelligence work and judgment work, and why that matters for business leadersWhat Anthropic’s Claude usage data reveals about the gap between AI capability and actual adoptionWhy friction—not technical limitations—is slowing AI transformation inside companiesHow Google’s new Workspace CLI expands agent access across Gmail, Drive, Docs, Sheets, and moreWhat Microsoft Copilot Cowork could mean for enterprise automation inside Microsoft 365Why AI review systems will become essential as AI-generated output scales across functionsHow autonomous agent loops could reshape software, marketing, sales, customer service, and product developmentWhat recent layoffs at Meta and Atlassian suggest about the future of knowledge workThe legal battles emerging around AI, from copyright to legal advice to data privacyAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

What happens when AI stops helping with work—and starts doing the work itself? This episode connects a set of developments that business leaders should not ignore. From Sequoia’s thesis that AI is replacing services, not just software, to Anthropic’s findings that AI adoption is still far behind AI capability, the message is clear: the bottleneck is no longer technology. It is implementation. The bigger takeaway is even more important. Google, Microsoft, and Anthropic all released capabilitie...

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275 | Knowledge work as we know it is over, self improving agents loops connected to Microsoft or Google eco systems are now possible, build entire software suite autonomously, Meta is cutting 20% of it’s workforce, & more AI news for Mar 13, 2026

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What happens when AI stops helping with work—and starts doing the work itself?This episode connects a set of developments that business leaders should not ignore. From Sequoia’s thesis that AI is replacing services, not just software, to Anthropic’s...

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