Demis Hassabis, CEO of Google DeepMind, summed it up in three words: “This is embarrassing.” Hassabis was replying on X to an overexcited post by Sébastien Bubeck, a research scientist at the rival firm OpenAI, announcing that two mathematicians had used OpenAI’s latest large language model, GPT-5, to find solutions to 10 unsolved problems in…
In healthcare, overhyped claims about AI solving medical problems could lead to premature adoption of unproven technologies, potentially harming patients. Similarly, in education, unrealistic expectations around AI tutors or automated grading systems could negatively impact learning outcomes. The legal sector might face challenges when dealing with liability surrounding AI-driven errors based on inflated promises.
AI boosterism can lead to unrealistic expectations regarding the capabilities of LLMs, leading to misallocation of resources and flawed deployment strategies in business operations. Over-reliance on unverified AI solutions can disrupt established workflows, diminish productivity, and require substantial investment in recalibration to mitigate errors and ensure functional utility.