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๐๐จ๐ฎ ๐๐๐ง ๐ซ๐ฎ๐ง ๐ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ ๐๐จ๐ซ ๐ ๐ฒ๐๐๐ซ, ๐๐๐๐ฅ ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ๐ข๐ฏ๐ ๐ญ๐ก๐ ๐ฐ๐ก๐จ๐ฅ๐ ๐ฐ๐๐ฒ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก, ๐๐ง๐ ๐๐ง๐ ๐ฎ๐ฉ ๐ซ๐จ๐ฎ๐ ๐ก๐ฅ๐ฒ ๐ฐ๐ก๐๐ซ๐ ๐ฒ๐จ๐ฎ ๐ฌ๐ญ๐๐ซ๐ญ๐๐. ๐ณ
That is AI theatre: output that exists to prove the tool is running. Posts nobody asked for. Summaries nobody reads. A weekly report on hours saved. It looks like progress, and it quietly costs you real hours to make and review.
This week on ๐๐ก๐ ๐๐ ๐๐ซ๐๐๐ค๐๐จ๐ฐ๐ง, Kree and Varun open part two of the theme:
๐๐ก๐ $๐๐ ๐๐ฆ๐ฉ๐ฅ๐จ๐ฒ๐๐.
Here is the uncomfortable evidence. In a 69 page study of its own customers, OpenAI found no meaningful link between how intensively a company used AI and its revenue per employee. Usage is not a result. Tokens are not revenue. And a six person team is far more exposed to a wasted year than a four hundred person one.
Inside the episode:
๐ด US Cryotherapy: revenue up, headcount up from 8 to 12, owner uses AI mostly to think
ย
๐ด Gusto on 100,000 small firms: ๐๐ points more AI exposure, about ๐.๐% more revenue
ย
๐ด The two numbers that count: net revenue per person, and what the freed time became
Point AI where judgment is expensive and slow. That costs the same twenty dollars as the theatre. ๐๏ธ
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Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation. This is an Independent commentary. Third-party excerpts are credited on screen or in the show notes. Some voices in this program are AI-generated.





