Bangkok, Thailand January 22, 2026 –(PR.com)– Worldwide interest in generative artificial intelligence (gen AI) plunged after publication of the influential book You Are Being Scammed, according to Google Trends data. Those trends reveal that the book, written by Geoprise Founder Nelson Nones, dropped at exactly the same moment as the peak of AI hype in November 2025.
Further evidence of the book’s impact came one month later when MIT Technology Review published its series “The great AI hype correction of 2025” on December 15 declaring, “After a few years of out-of-control hype, people are now starting to re-calibrate what AI is, what it can do, and how we should think about its ultimate impact.” Today, the Google Trends data confirm that public interest in AI topics has diminished to less than half its peak two months ago.
Asked during a recent interview about why his book had such great impact, Nones replied that it debunks several key myths propping up the AI bubble. “For example, promoters of large language models (LLMs) make straight-line projections of so-called ‘scaling laws’ to convince gullible investors that artificial general intelligence (AGI) is imminent, requiring only vast investments in power plants and data centers to tip the balance,” said Nones.
“Corporate leaders latched onto the myth of AGI,” he continued, “as a way to cut costs by automating cognitive work, but the notion of AI rendering any more than a fraction of the human workforce obsolete is a fallacy, because most jobs require at least some physio-mechanical ability,” such as manual dexterity, “which no AI system can possibly perform.”
For enterprises, Nones also differentiates strategic from tactical information technology (IT) investment by testing the capability of AI technology to develop competitive advantages or significantly expand their total addressable market on the one hand, versus improve the performance of business as usual on the other. “A recent McKinsey article about ‘rewiring’ enterprises,” he says, “explains how AI agents can help a bank’s human credit managers improve their efficiency and effectiveness, but these are tactical investments in my view because the underlying loan underwriting process remains the same. By contrast, harnessing AI technology to profitably underwrite loans without involving any human credit managers would be highly strategic because it would enable banks to capture new loan demand from customers they are unable to reach through personal visits.”
The problem, according to Nones, is hallucinations that are endemic to gen AI, rendering the technology so unreliable that it cannot be trusted with the responsibilities borne by human workers, such as credit managers, upon whom organizations rely to manage risk. As a result, contrary to recent hype, Nones concludes that most enterprises will limit their adoption of gen AI technology to tactical rather than strategic applications.
Today’s developments are the latest in a series of firsts for Geoprise. In early 2018, the flagship Geoprise enterprise resources planning (ERP) application, GM-X, was the first in the world (CIO Review magazine, November 2018) to combine proven blockchain technology with strong encryption for securing information assets, and it remains the only such ERP application suite on the market today. Later that year, Geoprise was first to market with a responsive mobile-first GM-X Web user interface allowing the entire GM-X application suite to run end-to-end on mobile as well as desktop and laptop devices.
