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Roadmap · Career

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

Free

For students, junior and experienced engineers worried about layoffs and what AI means for their jobs, and for anyone who has just been laid off. By the end you can read the evidence calmly, see your own risk, make yourself harder to cut, use AI to raise your value, build a safety net, and handle a layoff and the search after it with a plan.

Curated by Tauseef Fayyaz7 stages, 49 topics~6 months at a few hours a week

By the end, you will be able to

  • Explain what is really driving tech layoffs and what the evidence says about AI, without hype or panic
  • Score your own exposure and spot the warning signs at company, team and personal level
  • Move your work closer to revenue and make your impact visible to the people who decide
  • Use AI tools daily on real work while keeping the judgement skills they cannot replace
  • Build career insurance: an emergency fund, a ready CV, a warm network and a yearly market check
  • Handle a layoff step by step: severance, what you are owed, local rules, visa deadlines and documents
  • Run a job search after a layoff as a weekly pipeline and land somewhere more stable

The path

7 stages, in the order to learn them. Open one to start.

  1. 1What AI is really doing to tech jobsSeparate 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.7 topics · ~2 weeks
  2. 2Read the signals and your own exposureLayoffs rarely come from nowhere. Learn how companies decide who goes, which signs usually come first at company, team and personal level, and how exposed your own role is, so you can act early instead of reacting.6 topics · ~2 weeks
  3. 3Be hard to cut at workNobody is layoff-proof, but some people are much harder to cut than others. Put your effort into work the business cannot do without, make your impact easy to see, and keep relationships beyond your own manager.7 topics · ~4 weeks
  4. 4Work with AI so it raises your valueCompanies are now choosing people partly by how well they adopt AI. Use the tools daily on real work, measure honestly where they help, keep the skills they cannot replace sharp, and move towards work that builds with AI rather than work AI does.7 topics · ~6 weeks
  5. 5Career insurance before you need itThe best time to prepare for a layoff is while you still have a job. Build a money cushion, keep your CV and proof of work ready, keep your network warm and test the market once a year, so a layoff is a hard month and not a crisis.7 topics · ~3 weeks
  6. 6If you are laid off: the first two weeksThe first days after a layoff decide a lot: what you sign, what you are paid, which documents you leave with and, on a work visa, how much time you have. Stay calm, get everything in writing, check what you are owed under your contract and local law, and reset your budget before you start the search.7 topics · ~2 weeks
  7. 7Bounce back: the search after a layoffA job search after a layoff is a project, not a mood. Tell the story in two calm sentences, run a weekly pipeline that leans on referrals, close the skill gaps the market is asking about, and protect your health and money while you do it.8 topics · ~6 weeks

Picked from the other libraries by shared topics.

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