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 it
- The difference between intelligence work and judgment work, and why that matters for business leaders
- What Anthropic’s Claude usage data reveals about the gap between AI capability and actual adoption
- Why friction—not technical limitations—is slowing AI transformation inside companies
- How Google’s new Workspace CLI expands agent access across Gmail, Drive, Docs, Sheets, and more
- What Microsoft Copilot Cowork could mean for enterprise automation inside Microsoft 365
- Why AI review systems will become essential as AI-generated output scales across functions
- How autonomous agent loops could reshape software, marketing, sales, customer service, and product development
- What recent layoffs at Meta and Atlassian suggest about the future of knowledge work
- The legal battles emerging around AI, from copyright to legal advice to data privacy
About Leveraging AI
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