As ChatGPT\u2019s third anniversary approaches, AI hype is hard to escape.<\/p>\n
Tech companies are committing hundreds of billions of dollars<\/a> to enormous data center buildouts, while industry leaders are promising an inevitable future<\/a> in which superintelligent machines will usher in an era of unprecedented prosperity.<\/p>\n But many tech insiders are quietly singing a very different tune, expressing a growing conviction that\u2019s been circulating for a while now<\/a>: that AI is immensely overhyped.<\/p>\n In an illuminating blog post<\/a>, tech entrepreneur and writer Anil Dash reports that \u201cmost people who actually have technical roles within the tech industry\u201d share an \u201cextraordinary degree of consistency in their feelings about AI.\u201d<\/p>\n Unlike their CEOS, Dash reports, these workers believe that \u201ctechnologies like [large language models] have utility, but the absurd way they\u2019ve been overhyped, the fact they\u2019re being forced on everyone, and the insistence on ignoring the many valid critiques about them make it very difficult to focus on legitimate uses where they might add value.\u201d<\/p>\n Dash says these workers are afraid to speak up and call for a more moderate and realistic approach to the tech that respects \u201ccommitments to environmental sustainability\u201d and that isn\u2019t \u201ccentralized under the control of a handful of giant companies.\u201d<\/p>\n It\u2019s not an abstract threat. We\u2019ve already seen thousands of tech workers<\/a> being laid off as companies continue to double down on their AI investments. Meanwhile, tech leaders are actively threatening to fire employees<\/a> who are unwilling to embrace AI at any cost.<\/p>\n \u201cPeople worry that not being seen as mindless, uncritical AI cheerleaders will be a career-limiting move in the current environment of enforced conformity within tech,\u201d Dash wrote, \u201cespecially as tech leaders are collaborating with the current regime to punish free speech, fire anyone who dissents, and embolden the wealthy tycoons at the top to make ever-more-extreme statements, often at the direct expense of some of their own workers.\u201d<\/p>\n \u201cVery few agree with the hype bubble that the tycoons have been trying to puff up,\u201d Dash concluded in his blog post, arguing that the \u201cmainstream of tech culture is thoughtful, nuanced and circumspect.\u201d<\/p>\n Even OpenAI cofounder and inventor of \u201cvibe coding,\u201d Andrej Karpathy, believes the tech has been massively overhyped. During a recent appearance on Dwarkesh Patel\u2019s podcast<\/a>, he said that AI agents, or AI models that are designed to autonomously perform a series of tasks, are failing to live up to the industry\u2019s lofty promises.<\/p>\n \u201cThey just don\u2019t work,\u201d Karpathy told Patel. \u201cThey don\u2019t have enough intelligence, they\u2019re not multimodal enough, they can\u2019t do computer use and all this stuff.\u201d<\/p>\n Agentic AI quickly emerged as a major industry talking point this year, with companies like OpenAI promising<\/a> future models capable of automating entire workflows while freeing up workers\u2019 time<\/a>.<\/p>\n However, that future is seemingly years away as tech leaders realize human workers are far less replaceable<\/a> than they had hoped.<\/p>\n \u201cYou can\u2019t just tell [AI agents] something and they\u2019ll remember it,\u201d Karpathy said. \u201cThey\u2019re cognitively lacking and it\u2019s just not working. It will take about a decade to work through all of those issues.\u201d<\/p>\n Instead, Karpathy envisions a future in which programmers work alongside AI agents, instead of being replaced wholesale.<\/p>\n \u201cThe industry lives in a future where fully autonomous entities collaborate in parallel to write all the code and humans are useless,\u201d he tweeted<\/a> following the interview. \u201cI want to learn along the way and become better as a programmer, not just get served mountains of code that I\u2019m told works.\u201d<\/p>\n As companies pour untold resources into developing AI tech to give reality a chance to catch up with their lofty promises, analysts are growing concerned about the bottom falling out<\/a>. Experts are arguing that AI companies pouring money into one another<\/a>, while propping up the entire US economy<\/a>, is a major warning sign that we\u2019re in an AI bubble<\/a>.<\/p>\n For now, the industry continues to burn through cash at an alarming rate, riding an enormous wave of hype that\u2019s only beginning to show signs of slowing down. A return on investment remains a mere glint in the eye of tech leaders \u2014 their employees\u2019 concerns be damned.<\/p>\n