42:I[185,["/_next/static/chunks/0sxns9k8ywops.js","/_next/static/chunks/11fk-1ie3w6mp.js","/_next/static/chunks/1uc4qdk4uj22c.js","/_next/static/chunks/0jvahffpql9nd.js","/_next/static/chunks/0agcep-t686m_.js","/_next/static/chunks/2_mrasy1s2owt.js","/_next/static/chunks/1nsk8jrr9fqe6.js"],"SendEmailButton"] 44:I[63625,["/_next/static/chunks/0sxns9k8ywops.js","/_next/static/chunks/11fk-1ie3w6mp.js","/_next/static/chunks/1uc4qdk4uj22c.js","/_next/static/chunks/0jvahffpql9nd.js","/_next/static/chunks/0agcep-t686m_.js","/_next/static/chunks/2_mrasy1s2owt.js","/_next/static/chunks/1nsk8jrr9fqe6.js"],"AddToLibraryButton"] 45:I[29721,["/_next/static/chunks/0sxns9k8ywops.js","/_next/static/chunks/11fk-1ie3w6mp.js","/_next/static/chunks/1uc4qdk4uj22c.js","/_next/static/chunks/0jvahffpql9nd.js","/_next/static/chunks/0agcep-t686m_.js","/_next/static/chunks/2_mrasy1s2owt.js","/_next/static/chunks/1nsk8jrr9fqe6.js"],"ShareButton"] 46:I[58016,["/_next/static/chunks/0sxns9k8ywops.js","/_next/static/chunks/11fk-1ie3w6mp.js","/_next/static/chunks/1uc4qdk4uj22c.js","/_next/static/chunks/0jvahffpql9nd.js","/_next/static/chunks/0agcep-t686m_.js","/_next/static/chunks/2_mrasy1s2owt.js","/_next/static/chunks/1nsk8jrr9fqe6.js"],"ProcessEpisodeButton"] 47:I[45269,["/_next/static/chunks/0sxns9k8ywops.js","/_next/static/chunks/11fk-1ie3w6mp.js","/_next/static/chunks/1uc4qdk4uj22c.js","/_next/static/chunks/0jvahffpql9nd.js","/_next/static/chunks/0agcep-t686m_.js","/_next/static/chunks/2_mrasy1s2owt.js","/_next/static/chunks/1nsk8jrr9fqe6.js"],"SignupCTA"] 3a:["$","time",null,{"dateTime":"2026-06-09T14:45:00.000Z","children":"June 9, 2026"}] 3b:["$","span",null,{"aria-hidden":true,"children":"·"}] 3c:["$","span",null,{"children":"00:22:00"}] 43:T46e,

You're still measuring AI by whether it writes good code. That's already the wrong question.

Reading Anthropic's latest numbers, more than 80% of the code merged into their codebase is now written by Claude. The typical engineer ships 8x as much code per day as in 2024. And the length of task an AI can finish reliably is doubling roughly every four months. Four-minute jobs two years ago. Twelve-hour jobs now.

But "what is the human actually still doing?"

Their answer: not writing. Not running experiments. Setting direction. Reviewing. Deciding what's worth building and catching what slipped through. They already run automated Claude reviewers that flag bugs their best engineers missed.

That quietly reframes the whole skills conversation. Most of my career has been about making output faster and cleaner. Fewer defects, quicker delivery. If output is becoming close to free, the value moves somewhere else. To judgment. What to build. When to ship. What not to trust.

I don't think most IT teams are ready for that shift yet. What do you think?

#AI #TheHumanInTheLoop #AILeadership