Perspectives
So Much To Say.
What is happening in AI. What is being built. Which companies are getting it right. And which ones are spending a lot of money to find out they got it wrong.
Aaron Levie Just Described Every Layer 1 Problem in the Enterprise. He Just Did Not Call It That.
Aaron Levie spent last week on the road meeting with dozens of IT and AI leaders at large enterprises across banking, media, retail, healthcare, consulting, tech, and sports. He came back with eight observations about the state of AI adoption. They are worth reading carefully. Not because they are surprising, but because of what they reveal about where the real work actually lives. Every problem he describes is a sequencing problem. Enterprises tried to start at Layer 2 and Layer 3. They are now paying retroactively for Layer 1.
Read →What Ramp Got Right That Most Companies Will Get Wrong
Ramp just published their AI adoption numbers. 99.5% team usage. 1,500 apps shipped in six weeks. Non-engineers committing code to production. Every founder reading that wants to know how to replicate it. Most will get it wrong. Not because the playbook is bad, but because they will copy the visible layer instead of the foundation that made it work.
Read →Coming Next
- —The Quiet Failure: Why Your AI Pilot Succeeded and Your Organization Didn't
- —Technology 3.0: Stop Buying Tools. Start Building Architecture.
- —What the C-Suite Gets Wrong About the Data Layer
- —The Human Judgment Problem: Why AI Cannot Replace What You Have Not Defined
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