Layoffs and AI: stay hard to cut, bounce back if it happens

Stage 1 of 7 · 7 lessons · ~2 weeks

What AI is really doing to tech jobs

Separate the headlines from the evidence. Layoffs have several causes, AI is one of them and is cited more every year, and the clearest effect so far is fewer junior hires rather than mass firing of experienced engineers.

Start: The numbers since 2022

Lessons· one lesson for each topic, in this order

  1. 1The numbers since 2022
  2. 2Why companies really cut jobs
  3. 3When "AI" is the reason, and when it is the story
  4. 4The junior squeeze: fewer doors, not mass firing
  5. 5AI changes tasks before it removes jobs
  6. 6Where demand is growing
  7. 7A calm news dietOptional

Do this

  • Read the summary of one layoff tracker and one research report from this stage
  • Write down the four main causes of recent layoffs in your own words
  • List your five biggest weekly tasks and rate how exposed each is to AI
  • Find two growing areas next to your current skills
  • Choose two data-based sources and read them once a week, not every day

Also worth your time

Before moving on: A one-page note in your own words: the main causes of the current layoffs, what the evidence says about AI and junior hiring, which of your tasks are most exposed, and two growing areas next to your current skills.

Tauseef's advice
Fear makes people do one of two things: freeze, or chase every new tool. Both waste the months you have. Read the evidence once, properly, then turn it into a plan for your own job. Most of what protects you is not new: useful work, visible impact, savings and people who know you.

Mark this stage as not done?