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Entry-Level Hiring Collapsed 80% — And the 2027 Talent Cliff Is Coming
Audio is available on Spreaker — see link below.
AI adoption is gutting entry-level hiring by 80% — and Harvard data confirms it. Today's briefing unpacks the Snowflake-AWS $6B deal, the talent pipeline risk most executives aren't modeling, and why the companies cutting junior roles now may pay a steep price by 2027.
Audio is available on Spreaker — see link below.
Companies that adopted generative AI cut entry-level hiring by eighty percent. That's not a projection.
Start with the revenue side. Snowflake just posted its strongest sequential product revenue growth in company history.
Now the talent side, and this is where it gets uncomfortable. Harvard researchers have now documented what many executives suspected but few had measured.
There's a timing problem buried in this data that deserves attention. Companies began reducing entry-level hiring almost immediately after the public release of ChatGPT, well before AI had actually automated those roles at scale.
The compounding effect is the part most executives aren't modeling. Senior workers develop through entry-level roles.
Two things are worth watching closely from here. First, whether enterprise AI revenue growth at firms like Snowflake translates into pressure on their customers to cut junior headcount faster.
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