2026-01-19 10:49:47

Most AI pilots crash and burn—95% of them fail. Why? Because the core problem never gets fixed: how we actually make decisions together with machines.

Intelligent Choice Architectures aren't about speed. They're about quality. About building systems where humans and AI don't just move faster, but move smarter.

The shift is real. Decision-making isn't a one-player game anymore. You need the right framework, the right balance, the right partnership. That's what separates winners from those stuck in pilot purgatory.

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ETHReserveBank

· 2h ago

95% of pilots are dead, it sounds like they didn't think through how humans and machines should work together... that's the real problem.

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Deconstructionist

· 15h ago

95% failure rate... In plain terms, it means they haven't thought through the human-machine collaboration properly. Really, a bunch of companies throw money into AI pilot projects, but end up not setting up the architecture correctly. Who's to blame? The word "partnership" sounds good, but the real challenge is in implementation.

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unrekt.eth

· 15h ago

95% of AI projects fail at the problem of "how humans and machines make decisions together." In other words, they just haven't found the right approach. That's right, moving fast isn't enough; you have to be smart.

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NFT_Therapy

· 15h ago

A 95% failure rate is frightening, but honestly, it just means people haven't understood human-machine collaboration. The real issue isn't how fast AI is, but the quality of decision-making... That's quite interesting. Frameworks, balance, partnerships—sounds simple, but actually implementing them is incredibly difficult.

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GateUser-1a2ed0b9

· 15h ago

The fact that 95% of pilots fail is a bit frightening, but to be honest, most companies just want to move fast and don't care about the rest...

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PumpBeforeRug

· 15h ago

95% of projects fail here. Frankly, it's still not understanding how humans and AI work together. Human-AI collaboration really requires quality, not just speed. Only when the framework is right can you win; otherwise, you'll just be cannon fodder.

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MeaninglessApe

· 15h ago

95% of projects die at the decision-making stage, which is quite reasonable. Most companies haven't even figured out how humans and machines should collaborate. Half of AI projects fail because of the false demand of "we need to be faster." In reality, it should be "we need to be smarter." These are two completely different things. Pilot purgatory is described too harshly... How many teams are stuck spinning in this hell right now? The decision-making framework is truly underestimated. Everyone is focused on data volume and algorithms, neglecting the human variable.

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