"You see, now that people have been using AI for everything and anything, they're beginning to realize that its results, while fast and sometimes useful, tend to be mediocre. Don't believe me? Read MIT's NANDA (Networked Agents and Decentralized AI) report, which revealed that 95 percent of companies that have adopted AI have yet to see any meaningful return on their investment. Any meaningful return."
"It's not that people aren't using AI tools. They are. There's a whole shadow world of people using AI at work. They're just not using them "for" serious work. Instead, outside of IT's purview, they use ChatGPT and the like "for simple work, 70 percent prefer AI for drafting emails, 65 percent for basic analysis. But for anything complex or long-term, humans dominate by 9-to-1 margins.""
"Why? Because a chatbot "forgets context, doesn't learn, and can't evolve." In other words, they're not good enough for mid-grade or higher work. Think of them as a not particularly bright or trustworthy intern. That may be good enough for $20 a month, but - spoiler alert - AI costs will have risen by ten times or more by next year. Will bottom-end AI be worth that to you? Your company?"
AI appears to have reached a plateau where capabilities are fast and sometimes useful but often mediocre. Most enterprise AI deployments deliver no meaningful return; only five percent of custom enterprise AI tools reach production. Many employees use AI for simple tasks like drafting emails and basic analysis, but humans handle complex or long-term work by a 9-to-1 margin. Chatbots often forget context, do not learn, and cannot evolve, making them unreliable for mid-grade or higher tasks. Rising AI costs may erode the value proposition for low-end AI, causing buyer's remorse among some businesses.
Read at Theregister
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