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AI writes more code. Someone still has to review it.
49% of developers say they spend 4+ hours a week reviewing AI output and correcting prompts. 75% say they now carry more responsibility for the quality and safety of what AI produces.
On November 9, an expert panel - including industry leaders Kelsey Hightower, Nathen Harvey, and Jennifer Riggins - will unpack Atlassian's State of Developer Experience Report 2026 and what it takes to reduce those delivery bottlenecks.
Read the full report before the session.
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The 'AI = cut headcount' correlation is real, but not universal.
In Ramp's data, the companies going hardest at AI are the ones hiring the most. Entry-level roles are up 12%.
The 101 argument says:
“Implementing more AI means fewer humans needed.”
The counterpoint says:
“So why are the companies spending the most on AI also hiring the most humans?”
The correlation-causation fallacy says:
“Those companies were already growing the fastest, so those hires were happening with or without AI.”
The controlled study says:
“The data compares 2 groups, both growing headcount at the same rate before their first AI spend. Those who spent more over the next 2 years also grew headcount more.”
The pessimist says:
“The light AI spenders cut before they hired. This measures AI spend, not AI results. 2 years isn’t 10 years - let’s see how the chart looks in 2036.”
The optimist says:
“When AI makes each person more productive, each hire is worth more. So you hire more of them, not fewer.”
The truth is, there’s no single universal takeaway, but we’d love to hear yours. Reply to this email with the mental note you took down after seeing this trend.
QUICK POLL
Is AI changing how many entry-level people you hire?
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RABBIT HOLE
High-signal resources to learn more
Read the caveats yourself - You should click this if you plan to quote these numbers in a board meeting.
Is this the end of the AI layoff story? - Big Technology weighs the Ramp result against the doom headlines (paid post).
Automation or augmentation? - Anthropic's own data on whether AI is doing the work or helping with it.
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Data source for today's Screenshot: Ramp Economics Lab, "Companies hire more after AI adoption"
That’s your 60 seconds up ⌛
Quick one before you close this: is your company hiring because of AI, or cutting because of it? Hit reply and tell me, first reactions are the most useful ones.
See you tomorrow for edition #5.
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