Along with the excitement about the possibilities of generative AI is a great deal of pressure for leaders and employees participating in projects.
AI fatigue is real and nobody talks about it | Siddhant Khare
You're using AI to be more productive. So why are you more exhausted than ever? The paradox every engineer needs to confront.
In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.
When Using AI Leads to “Brain Fry”
As firms increasingly incentivize employees to build and oversee complex teams of agents—for example, by measuring and rewarding token consumption as a proxy for performance—people are finding themselves pushed to their cognitive limits. Participants in a recent study described a “buzzing” feeling or a mental fog with difficulty focusing, slower decision-making, and headaches. The authors call this phenomenon “AI brain fry,” defined as mental fatigue from excessive use or oversight of AI tools beyond one’s cognitive capacity. This AI-associated mental strain carries significant costs in the form of increased employee errors, decision fatigue, and intention to quit. The findings also show how AI-driven workflows can be designed to diminish burnout and point toward specific manager, team, and organizational practices to avoid mental fatigue even as AI work intensifies.
AI Is Failing at an Overwhelming Majority of Companies Using It, MIT Study Finds
Recent figures by MIT found that 95 percent of generative AI pilots are failing, with some drastic implications for the spending bubble.
The antidote to AI fatigue — Answer.ai Solveit
Appearing Productive in The Workplace — No One's Happy
AI can produce work that looks expert without being expert. The failure arrives in two shapes, and both are reshaping the workplace.
Appearing Productive in The Workplace — No One's Happy
AI can produce work that looks expert without being expert. The failure arrives in two shapes, and both are reshaping the workplace.
TrendLife Study Shows AI Is Moving Fast, but Consumers and Families are Being Left Behind
New study of over 10,000 consumers across 9 countries reveals worry exceeds excitement about generative AI as most lack the tools and confidence to use it safely TOKYO, May 6, 2026 /PRNewswire/ --...
Researchers Studied What Happens When Workplaces Seriously Embrace AI, and the Results May Make You Nervous
Introducing AI in the workplace can create a vicious cycle that leaves employees overburdened and burned out.
Companies That Replaced Humans With AI Are Realizing Their Mistake
As AI agents have yet to pay for themselves, more and more executives are waking up to the sloppy reality of AI hype.
The Myth of the Instant Cake Mix
How to think about creative tooling in the new world of generative AI
AI is turning research into a scientific monoculture
Generative AI deserves scientific attention. But the rush to study it is producing a feedback loop of topical and methodological convergence, flattening scientific imagination and crowding out the pluralism needed to keep research adaptive, resilient, and intellectually generative.
Generative AI in a Nutshell - how to survive and thrive in the age of AI
Companies rushed in on AI. Now some are pulling back
Rapid AI adoption left workers cleaning up a flood of errors and low-quality work
AI Angst
My input stream is full of it: Fear and loathing and cheerleading and prognosticating on what generative AI means and whether it’s Good or Bad and what we should be doing. All the channels: Blogs and peer-reviewed papers and social-media posts and business-news stories. So there’s lots of AI angst out there, but this is mine. I think the following is a bit unique because it focuses on cost, working backward from there. As for the genAI tech itself, I guess I’m a moderate; there is a there there, it’s not all slop. But first…
