Writing ยท AI / Automation / Tech
๐๐๐ถ๐น๐ฑ ๐น๐ฒ๐๐. ๐๐ฟ๐ผ๐ ๐บ๐ผ๐ฟ๐ฒ.
Moats come from depth, not a dozen side quests.
๐ข๐ฝ๐ฒ๐ป๐๐ ๐๐ฎ๐ป๐๐ ๐๐ผ ๐ฏ๐๐ถ๐น๐ฑ ๐๐ถ๐ป๐ธ๐ฒ๐ฑ๐๐ป competitor.
Many praises โmove fast and build everything.โ
The best moats are built by saying no.
OpenAI just announced an AI-powered jobs platform and free โAI fluencyโ certificationsโaiming to certify 10 million Americans by 2030, with partners like Walmart and John Deere. Launch target: mid-2026.
Cue the applause. More on-ramps for workers. A new funnel for employers. Fine.
But hereโs the inversion: What breaks great companies usually isnโt the competitionโitโs dilution. Sprawl masquerading as strategy. Ten half-finished โnext big thingsโ instead of one category killer.
Intelligence can build anything. Wisdom chooses what not to build.
Look around the labor data. Early-career roles in the most AI-exposed jobs (software dev, customer service) are getting squeezed. Thatโs not a forecast; itโs showing up in payrolls.ย CEOs are rebalancing headcount because agents now handle a huge chunk of conversations. Salesforce cut roughly 4,000 support seats; Klarna shrank from ~5,000 to ~3,000 employees with AI as a driver among others.
So yesโthereโs a real need to help people pivot. But the strategic question for any builder (OpenAI included) is simpler and sharper:
What is the one flywheel that compounds hardestโand what will you refuse to ship so that flywheel spins faster?
Because every โadjacentโ product quietly taxes the core:
It drains the A-teamโs attention.
It confuses the brandโs promise.
It slows the learning loop where compounding happens.
The compounding loop in AI looks like this:
Model quality โ usage โ data/feedback โ better quality โ more usage.
Anything that doesnโt accelerate that loop is a detour, no matter how noble the press release sounds.
What would have to be true for this to be a mistake?
Answer: if building a jobs marketplace, a browser, a meetings add-on, and a half-dozen other apps slows the rate at which the core gets unmistakably better for end users.
The real play here (for OpenAI or your company) is focus!
Pick the money metric. Which single metric best captures compounding in your core (sales,daily active use, task success, response time)?
Kill the decoys. If a new feature doesnโt move that metric this quarter, park it.
Ship depth, not breadth. Dominate the job-to-be-done youโre already paid for.
Delay the empire. Platforms are earned by obsessive excellence in one narrow thing first.
AI isnโt your biggest competitor. Distraction is.
What would you cut from the roadmap to make the core unmistakably great by December?
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