Comment by apercu
Some of these are obviously related to the closing of some of the retail businesses. And some might simply be middle management bloat that happens often at tech companies.
But imagine you're one of the people who remain (e.g., not impacted by the eliminated companies or products) and now there are fewer people to do the same amount of work? I've seen that movie and it usually has an economic impact 6-9 months later when people burn out.
It's almost like you can write the script:
Month 0–3: Survivors are relieved, grateful, and over-perform. Leadership reads this as “proof the cuts worked.”
Month 3–6: Context loss shows up. Decision latency increases. Domain knowledge walked out the door.
Month 6–9: Burnout, attrition, and quality failures begin. The “hidden layoffs” start as top performers quietly leave.
Month 9–12: Rehiring or contracting resumes (usually at higher cost)
The key misunderstanding here is assuming AI substitutes for organizational slack and human coordination. It doesn’t.
And sometimes middle management "bloat" is misdiagnosed. Remove them without redesigning decision rights and workflows, and the load doesn’t disappear it redistributes to the IC's.
Watch for Amazon "strategic investments" in early Q4 2026 (this will be a cover for the rehiring).
I haven't detected overproduction after layoff I have seen. It was other way round, people who remained were sad, depressed and demotivated. What happened was general slow down of remaining people + organizational chaos as people did not figured out yet who should fill for missing positions and how.