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AI炼金术

Firsthand record of AI-native org change, unpacking work and pay splits and where efficiency fails; claims refutable.

Deep reads here4 / 137 episodes
Cadence~1 every 5.0 days
Latest2026-08-29
TopicsInvesting & Business
PriorityT3
1:07:44
AI炼金术 0914

An AI-native org isn't everyone using AI — it's assuming the org doesn't exist and rebuilding it

Lockin merged HR and IT into HARO, put a technical founder-type in charge of people and AI, gave circle leads the power to split the bonus pool, and now requires proof that AI can't do the job before anyone gets hired.

10 Points 6 Quotes AI-native orgOrg transformation
1:06:27
AI炼金术 0829

Once the FDE Fills the Gaps in Enterprise AI Adoption, the Role Dies

One-person companies don't hold up, small teams do; FDE is not a lasting business, just a phase that fills the gaps in enterprise AI adoption — once the gaps are filled, the function dies.

9 Points 8 Quotes Enterprise servicesAgents
45:56
AI炼金术 0827

AI-Native Organizations: The Subject Must Be AI, Humans Just Take Orders Beside the Line

The best handoff is no handoff — give the work to the bus and tacit knowledge gets forced out; the price is less autonomy and more boredom.

8 Points 8 Quotes AI-native orgprocess automation
1:21:35
AI炼金术 0822

AI Is Not a Tool for the Organization, It Is the Organization's Replacement

Point-solution efficiency gains don't produce organizational efficiency, because the real bottleneck is that 60% of time goes to alignment; the fix isn't getting people to use AI, it's letting AI take over alignment, propulsion and closure.

10 Points 6 Quotes AI-native organizationorg transformation