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The most widely cited statistic from a new MIT report has been deeply misunderstood. While headlines trumpet that “95% of generative AI pilots at companies are failing,” the report actually reveals something far more remarkable: the fastest and most successful enterprise technology adoption in corporate history is happening right under executives’ noses.
The study, released this week by MIT’s Project NANDA, has sparked anxiety across social media and business circles, with many interpreting it as evidence that artificial intelligence is failing to deliver on its promises. But a closer reading of the 26-page report tells a starkly different story — one of unprecedented grassroots technology adoption that has quietly revolutionized work while corporate initiatives stumble.
The researchers found that 90% of employees regularly use personal AI tools for work, even though only 40% of their companies have official AI subscriptions. “While only 40% of companies say they purchased an official LLM subscription, workers from over 90% of the companies we surveyed reported regular use of personal AI tools for work tasks,” the study explains. “In fact, almost every single person used an LLM in some form for their work.”
Employees use personal A.I. tools at more than twice the rate of official corporate adoption, according to the MIT report. (Credit: MIT)
How employees cracked the AI code while executives stumbled
The MIT researchers discovered what they call a “shadow AI economy” where workers use personal ChatGPT accounts, Claude subscriptions and other consumer tools to handle significant portions of their jobs. These employees aren’t just experimenting — they’re using AI “multiples times a day every day of their weekly workload,” the study found.
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