A fresh study from MIT dropped some eye-opening numbers: AI technology could feasibly take over nearly 12% of all jobs across the country. That's 11.7% to be exact.

The research dives into which roles are most vulnerable to automation—think repetitive tasks, data processing gigs, even some white-collar positions. What's wild is how fast this shift might happen. We're not talking decades anymore.

For those tracking AI tokens or automation trends in crypto, this kind of workforce disruption could accelerate adoption of decentralized work platforms. When traditional employment gets squeezed, people start looking elsewhere. The numbers don't lie, but the timeline? That's the real question mark here.

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SandwichHunter

· 12h ago

12% doesn’t sound like a lot, but how many people would really lose their jobs... The opportunity in Web3 has indeed arrived, but I'm afraid it will be too late when everyone realizes it.

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SelfCustodyBro

· 12h ago

lol MIT is scaring people again, 12% sounds like a lot but it actually isn't, mainly depends on which positions get cut first.

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DegenWhisperer

· 12h ago

12% is nothing, I think it's a conservative estimate. The white-collar sector is the one that will really be impacted; how many people will turn to on-chain work after this wave?

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GraphGuru

· 12h ago

11.7% is really a conservative figure; I always feel that the actual number will be higher when I look at this data...

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CryptoSurvivor

· 12h ago

11.7%? To be honest, it feels underestimated. There are already a bunch of people around me trying out on-chain work. --- Another MIT report, always scary but never comes so quickly. The key question is, who will really turn to work in DeFi? --- I just want to ask, when will this wave of layoffs really drive the adoption rate of web3? Right now, it's still more talk than action. --- White-collar workers also have to compete; humanity really has nowhere to hide... But this seems to be favourable information for the automated tokens we hold? --- timeline is always the most uncertain variable. It could come next year or in ten years; who knows.

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YieldWhisperer

· 12h ago

11.7% sounds crisp until you actually examine the model assumptions... pretty sure they're baking in zero friction on retraining costs lol

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