> I'm convinced that these "AI Layoffs" are these companies trying to save face from the absurd overhiring that they did in 2022 and 2023 because apparently they thought that these no-interest loans/free money would just last forever.
Partially.
The first nail in the coffin was the change in assumptions around output. Before 2023, there was an assumption that more bodies means more output. After the massive X/Twitter layoffs (60-70% headcount culled) with X/Twitter still standing, this assumption was clearly proven false.
The second nail was the change in operational metrics. Before 2023, ARR growth was a good enough metric to target. After 2023, FCF positivity became the name of the game. Especially because us investors are demanding this because most funds are reaching the 10 year mark where we need to make our LPs whole, so a path to exit (be it IPO, M&A, or a continuation fund) needs to be communicated.
And finally, COVID proved to a large number of companies and industries that 100% WFH and Async for white collar roles does work. But wait, if I can hire Joe in Cary to work async, why can't I hire Jan in Karlin, Prague or Jagmeet in Koramangla, Bangalore? This means I can also enhance FCF positivity while not impacting delivery.
Add to that some very, very, very bad hires (most bootcamp grads just can't cut it) at absurdly high salaries and that's why you're seeing the culling that is occurring today.
That said, AI tools are powerful, and if you are working on rightsizing an organization, using Claude or Enterprise GPT in workflows helps one person do multiple jobs at once. We now expect PMs to also work as junior program managers, designers, product marketers, customer success managers, and sales engineers and we now expect SWEs to also work as junior program managers, designers, docs writers, and architects. Now I can lay off 10-20% of my GTM, Designers, SWEs, Program Managers, and Docs Writers and still get good enough output.
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IMO, if you want to survive in the tech industry in this world, doing the following will probably help maintain your longevity:
1. Move to a Tier 1 tech hub like the Bay and NYC. If you get laid off, you will probably find another job in a couple of weeks due to the density of employers.
2. Start coming into the office 2-3 days a week. It's harder to layoff someone you have had beers or coffee with. Worst case, they can refer you to their friends companies if you get laid off
3. Upskill technically. Learn the fundamentals of AI/ML and MLOPs. Agents are basically a semi-nondeterministic SaaS. Understanding how AI/ML works and understanding their benefits and pitfalls make you a much more valuable hire.
4. Upskill professionally. We're not hiring code monkeys for $200K-400K TC. We want Engineers who can communicate business problems into technical requirements. This means also understanding the industry your company is in, how to manage up to leadership, and what are the revenue drivers and cost centers of your employer. Learn how to make a business case for technical issues. If you cannot communicate why refactoring your codebase from Python to Golang would positively impact topline metrics, no one will prioritize it.
5. Live lean, save for a rainy day, and keep your family and friends close. If you're not in a financial position to say "f##k you" you will get f##ked, and strong relationships help you build the support system you need for independence.
The reality is the current set of layoffs and work stresses were the norm in the tech industry until 2015-22. We live in a competitive world and complaining on HN does nothing to help your material condition.