Know before your role does.
pssst. this is to sign up for updates on the game ;)
Will AI replace Nvidia Nano Research Leader jobs? · Latest report #tbw9g9zm
Your job has an expiration date
May 24, 2028
In 1 year, 7 monthsA glorified data-sifter making expensive guesses about silicon gate widths.
High-tier researcher (mostly Tensor cores, emotionally overclocked).
Check another roleComment your opinionor JOIN THE RESISTANCE!
One human is building a game about fighting back.
Designing chips faster than silicon can cool.







splat.you▸ SYNTHGATE ARCHITECT V4.2▸ RARITY · UNCOMMON▸ DEPRECATION IN 1 YEAR, 7 MONTHSAI's Special Power
simulates ten million gate configurations per minute
You parse complex semiconductor performance metrics to predict future chip architecture bottlenecks and research potential nano-scale efficiency upgrades.
The one thing AI can't do
You can still argue why a specific material defect matters despite the simulation results.
Your enemy, your name, your date. Post it.
Step by step, from the first quiet change to Deprecation Day.
Day 10
Our model ingests your research archive to map your reasoning patterns.
Month 4
The AI starts providing architecture suggestions that consistently outperform your manual designs.
Month 10
Your sign-off on research documentation is replaced by an automated verification script.
Month 15
The system assumes full control over defining future chip architecture parameters.
Month 19 · D-Day
You receive a polite automated email thanking you for your legacy contributions.
What you cost, what the machine costs, and what you get on the way out.
Per year
Savings: 93.5%
3.2 seconds
Average latency in decision-making
4.2 million
Manual data points reviewed
68 percent
Time spent in meetings
Your severance
One free hardware kit and a signed retirement card.
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