{"id":9539,"date":"2026-03-18T18:07:17","date_gmt":"2026-03-18T18:07:17","guid":{"rendered":"https:\/\/musictechohio.online\/site\/openai-cofounder-analysis-jobs-ai\/"},"modified":"2026-03-18T18:07:17","modified_gmt":"2026-03-18T18:07:17","slug":"openai-cofounder-analysis-jobs-ai","status":"publish","type":"post","link":"https:\/\/musictechohio.online\/site\/openai-cofounder-analysis-jobs-ai\/","title":{"rendered":"OpenAI Cofounder Deletes Controversial Analysis of Which Jobs Are Getting Steam Engined by AI"},"content":{"rendered":"
\n

While the ability of AI tools to steam engine<\/a> entire human occupations remains a subject of heated debate, a sobering reality is starting to settle in.<\/p>\n

Big tech companies are laying off workers in the thousands<\/a>, with CEOs expecting the worst and predicting soaring employment<\/a> rates among college graduates \u2014 while gleefully cutting costs at their companies and not looking back.<\/p>\n

Consequently, the subject of which jobs will be at the highest risk of being made redundant by AI tech has received intense interest. Most recently, Andrej Karpathy \u2014 an OpenAI cofounder, former AI exec at Tesla, and inventor of \u201cvibe coding<\/a>\u201d \u2014 used Bureau of Labor Statistics data and a heavy dose of AI to rate jobs on a scale of zero to ten, where zero is safe from AI, and 10 is most exposed.<\/p>\n

After his interactive chart drew plenty of attention, as Fortune<\/em> notes<\/a>, Karpathy got cold feet and pulled it down (though an archived version<\/a> can still be seen here).<\/p>\n

\u201cThis was a Saturday morning two hour vibe coded project inspired by a book I\u2019m reading,\u201d he tweeted<\/a> on Sunday. \u201cI thought the code\/data might be helpful to others to explore the BLS dataset visually, or color it in different ways or with different prompts or add their own visualizations.\u201d<\/p>\n

\u201cIt\u2019s been wildly misinterpreted (which I should have anticipated even despite the readme docs), so I took it down,\u201d he added.<\/p>\n

\u201cThe \u2018exposure\u2019 was scored by an LLM based on how digital the job is. This has no bearing on what actually happens to these occupations, which has to do with demand elasticity and a lot more,\u201d Karpathy explained in followup. \u201cPeople are sensationalizing the visualization tool and putting words in my mouth.\u201d<\/p>\n

While we should certainly take his findings with a heavy dose of salt \u2014 AI models still suffer from widespread hallucinations and Karpathy himself maintains we should only use vibe coding for rapid iterations and \u201cthrowaway <\/strong>weekend projects<\/a>\u201d \u2014 the data tells an all-too-familiar story. Occupations such as construction laborers, janitors, electricians, barbers, and bartenders, may largely be in the clear, whereas accountants, office clerks, customer service reps, and software developers could be the hardest hit.<\/p>\n

That\u2019s more or less the conclusion of AI company Anthropic\u2019s own investigation<\/a> into the matter as well. Earlier this month, the company\u00a0released its latest findings<\/a>\u00a0about the \u201clabor market impacts of AI.\u201d The company\u2019s researchers found that computer programmers, customer service reps, data entry keyers, medical record specialists, and market research analysts were at the highest risk, or \u201cmost exposed\u201d to AI.<\/p>\n

But whether employment levels are about to be driven off a cliff thanks to the rampant use of generative AI at the workplace remains debatable. As Anthropic points out in its report, \u201cAI is far from reaching its theoretical capability\u201d and \u201cactual coverage remains a fraction of what\u2019s feasible.\u201d<\/p>\n

Tech leaders who are conducting mass layoffs and citing AI to justify them have also been accused of trying to distract from corporate bloat and past overhiring<\/a>, which critics say is the real reason for the job losses.<\/p>\n

But if executives are to be believed, the scale of job losses could be staggering. ServiceNow CEO Bill McDermott, for instance, told CNBC<\/em><\/a> last week that he expects unemployment for new college graduates to reach over 30 percent.<\/p>\n

In short, as Karpathy\u2019s vibe-coded project hints at, white-collar jobs are facing an existential threat, while more hands-on and often lower-paying occupations could end up surviving the storm \u2014 a conclusion that likely won\u2019t be of much consolation to those in the midst of their post-secondary education in software development, accounting, or business administration.<\/p>\n

More on AI and employment:<\/strong> Anthropic Announces Jobs Most at Risk From AI<\/em><\/a><\/p>\n

The post OpenAI Cofounder Deletes Controversial Analysis of Which Jobs Are Getting Steam Engined by AI<\/a> appeared first on Futurism<\/a>.<\/p>\n<\/div>\n

<\/div>","protected":false},"excerpt":{"rendered":"

While the ability of AI tools to steam engine entire human occupations remains a subject of heated debate, a sobering reality is starting to settle in. Big tech companies are…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[615,177,3841],"tags":[],"class_list":["post-9539","post","type-post","status-publish","format-standard","hentry","category-anthropic","category-artificial-intelligence","category-ethics"],"_links":{"self":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts\/9539","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/comments?post=9539"}],"version-history":[{"count":0,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts\/9539\/revisions"}],"wp:attachment":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/media?parent=9539"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/categories?post=9539"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/tags?post=9539"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}