The AI Workforce Shift — What the Data Shows

Software jobs for workers under 26 dropped 20% percent in 2 years.

142,000 tech workers were laid off in 2026,

47% of those cuts were attributed directly to AI, not a market downturn, not outsourcing.

37% of executives have already scheduled more AI-for-headcount swaps by January.

This is not a forecast; it is a corporate roadmap. This 13-slide guide walks through the three numbers that define what is actually happening, maps exactly which roles are disappearing first and why, and identifies the three skills that put you above the automation layer rather than below it. The guide does not treat this as a crisis — it treats it as a transition that has a clear, learnable response.

What you will walk away with:

- A clear map of which entry-level tasks AI handles without human supervision, and which roles are growing as a direct result of the shift

- The three skills — precise prompting, AI output review, and error catching — that companies are actively paying a premium for and that no entry-level worker currently has in surplus

- A practical framework for positioning yourself as the person who directs AI rather than competes with it, regardless of your current role or technical background