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Tom’s Hardware
Tom’s Hardware
Technology
Jowi Morales

95% of generative AI implementations in enterprise 'have no measurable impact on P&L', says MIT — flawed integration cited as why AI projects underperform

AI illustration.

Many companies are rushing to implement various AI tools into their operation, but most of these pilot programs fail, according to an MIT study. Fortune reported that 95% do not hit their target performance, not because the AI models weren’t working as intended, but because generic AI tools, like ChatGPT, do not adapt to the workflows that have already been established in the corporate environment.

As per the report, the study's findings purportedly demonstrate that only "about 5% of AI pilot programs achieve rapid revenue acceleration." It says "the vast majority stall," and deliver "little to no measurable impact" on profit and loss. The findings are based on 150 interviews, a survey of 350 employees, and an analysis of 300 public deployments of AI.

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