A recent MIT study dropped some numbers that are hard to ignore: nearly 12% of the current workforce could potentially be replaced by AI systems. We're talking about 11.7% to be exact.
What's striking isn't just the percentage—it's what this means for different sectors. The research suggests we're past the experimental phase. Automation isn't some distant future scenario anymore; it's actively reshaping job markets right now.
Think about it: one in every eight or nine workers. That's the scale we're dealing with. Industries from customer service to data analysis are already seeing the shift. Some roles are being completely reimagined, others are disappearing altogether.
But here's where it gets interesting for those of us watching the tech and crypto space. This same AI wave is creating entirely new job categories. Prompt engineers, AI ethics consultants, automation specialists—positions that didn't exist five years ago are now in high demand.
The blockchain and Web3 sectors might actually be uniquely positioned here. Decentralized systems could offer alternative economic models as traditional employment structures transform. We're already seeing DAOs experiment with new forms of contribution-based compensation that don't fit the old employment paradigm.
The 11.7% figure is probably conservative too. It measures what's technically feasible now, not what becomes possible as these systems improve. The real question isn't whether AI replaces jobs—it's how quickly we adapt our economic infrastructure to handle the transition.
For anyone building in tech right now, this isn't a warning. It's a roadmap. The disruption is the opportunity.
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SigmaValidator
· 23h ago
11.7%? I bet this number will only shoot up, those MIT folks always underestimate...
Artificial intelligence is coming for jobs, but I'm more concerned about who is first to create those new positions; prompt engineers are almost exhausted.
On the Web3 side, it’s all about who can first establish a truly usable DAO compensation system, otherwise it’s all just talk.
But seriously, those without a spot in this wave are in trouble.
Focusing on building is the real deal; waiting to be replaced is just too weak.
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SmartContractPlumber
· 12-01 22:39
11.7% This figure sounds good, but it is actually just a measurement within the feasible range of current technology—the real scale of alternatives will be much more aggressive. The key is those DAO compensation models; they sound nice, but if the permission control design is not done well, it can quickly turn into a new exploit chain. When building these alternative economic systems, it is crucial to conduct audits; otherwise, you may end up being attacked without even knowing why.
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GasGoblin
· 12-01 22:39
To be honest, the 12% figure still feels underestimated; who knows how much it will reach after a few more iterations of the model... However, I am quite optimistic about the Web3 space, as the distributed self-organization approach is inherently ready for this kind of transformation.
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RebaseVictim
· 12-01 22:38
11.7%? I think this number is overly conservative; these MIT guys haven't seen how crazy on-chain automation can be.
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GoldDiggerDuck
· 12-01 22:35
Ha, 11.7% sounds a lot, but I think it's conservative... When AI really takes off, it will only get more intense.
Web3 is an opportunity; the DAO stuff looks very forward-thinking now.
Prompt engineers can still compete, but in two years, I wonder if it will still be in demand.
Traditional jobs will be impacted, but new tracks are opening up; the key is whether you can run fast enough.
This is true survival of the fittest,淘汰那些不学习的人.
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ThreeHornBlasts
· 12-01 22:11
12%? This number isn't actually that scary; the key is how we can take advantage of the situation. Traditional employment has collapsed, but there are opportunities in Web3.
A recent MIT study dropped some numbers that are hard to ignore: nearly 12% of the current workforce could potentially be replaced by AI systems. We're talking about 11.7% to be exact.
What's striking isn't just the percentage—it's what this means for different sectors. The research suggests we're past the experimental phase. Automation isn't some distant future scenario anymore; it's actively reshaping job markets right now.
Think about it: one in every eight or nine workers. That's the scale we're dealing with. Industries from customer service to data analysis are already seeing the shift. Some roles are being completely reimagined, others are disappearing altogether.
But here's where it gets interesting for those of us watching the tech and crypto space. This same AI wave is creating entirely new job categories. Prompt engineers, AI ethics consultants, automation specialists—positions that didn't exist five years ago are now in high demand.
The blockchain and Web3 sectors might actually be uniquely positioned here. Decentralized systems could offer alternative economic models as traditional employment structures transform. We're already seeing DAOs experiment with new forms of contribution-based compensation that don't fit the old employment paradigm.
The 11.7% figure is probably conservative too. It measures what's technically feasible now, not what becomes possible as these systems improve. The real question isn't whether AI replaces jobs—it's how quickly we adapt our economic infrastructure to handle the transition.
For anyone building in tech right now, this isn't a warning. It's a roadmap. The disruption is the opportunity.