{"slug": "ai-is-destroying-the-job-market-so-why-are-new-jobs-appearing", "title": "AI Is Destroying the Job Market — So Why Are New Jobs Appearing?", "summary": "AI-related job postings reached a record 4.2% of all US job postings in December 2025, up from 3.3% in March 2022, according to Indeed Hiring Lab, even as overall postings were only 6% above their February 2020 baseline. The share of postings mentioning AI was 134% above that baseline, with software development postings 67% below their March 2022 level but 22% of those mentioning AI. Indeed, Lightcast, the US Bureau of Labor Statistics, and the World Economic Forum data show that AI is reshaping job requirements within occupations rather than causing a total employment collapse.", "body_md": "The job market is sending two messages at once.\n\nTechnology companies are hiring fewer junior workers. Customer service and administrative jobs face growing automation pressure. Employers are openly discussing headcount reductions.\n\nAt the same time, job postings that mention AI are rising. Data scientists, AI engineers, cybersecurity specialists, and software developers remain among the fastest-growing occupations.\n\nBoth trends are real.\n\nAI has not caused a large collapse in total employment so far. The clearest change is happening inside occupations. Employers are reducing demand for some tasks while hiring people who can build, manage, or work with AI systems.\n\nThe total number of jobs may continue growing while access to those jobs becomes harder for people without the newly required skills.\n\n*The figures below come from several datasets. Indeed, Lightcast, the US Bureau of Labor Statistics, and the World Economic Forum measure different things, so their percentages should not be compared as if they came from one continuous survey.*\n\nThere was no clean “before AI” period.\n\nCompanies were already hiring machine-learning engineers, data scientists, computer-vision specialists, and robotics engineers long before ChatGPT appeared.\n\nThe more useful dividing line is November 2022, when ChatGPT brought generative AI into everyday work.\n\nIndeed’s data shows that AI-related hiring had already reached a high point before that launch. In March 2022, 3.3 percent of US job postings on Indeed contained AI-related terms.\n\nThose postings were heavily concentrated in software development and mathematics.\n\nThis was also a period of unusually strong technology hiring. Companies expanded during the pandemic, digital services grew quickly, and employers competed for software and data workers.\n\nWhen the technology market cooled, AI hiring initially fell with it.\n\nThat matters because some of the later decline in tech employment cannot be attributed to generative AI alone. Higher interest rates, post-pandemic overhiring, slower corporate spending, and layoffs at large technology companies were already reshaping the market.\n\nThe first year after ChatGPT produced an unusual split.\n\nGeneral technology hiring fell, but demand for generative AI knowledge increased.\n\nIndeed found that the share of US job postings mentioning AI dropped from 3.3 percent in March 2022 to 1.64 percent in June 2023. It then began recovering.\n\nGenerative AI jobs were still rare, but their growth was fast.\n\nIn January 2023, only about 3 in every 100,000 US job postings on Indeed mentioned generative AI. By the end of February 2024, that figure had reached 11 in every 10,000 postings.\n\nThat is more than a 30-fold increase in roughly 14 months.\n\nLightcast recorded a similar change. Its data, used in the Stanford AI Index, found that:\n\nGeneral tech hiring remained weak during this increase.\n\nBy February 2024, software development postings on Indeed were 67 percent below their March 2022 level. Yet 22 percent of the software development jobs still being advertised mentioned AI.\n\nThe market did not return to its previous size. Employers changed the skills they requested within a smaller pool of openings.\n\nBy the end of 2025, AI hiring had moved further away from the rest of the labor market.\n\nAccording to Indeed Hiring Lab, 4.2 percent of US job postings mentioned AI in December 2025, the highest share recorded by its tracker.\n\nThe number of all job postings was only 6 percent above its February 2020 baseline.\n\nPostings that mentioned AI were 134 percent above that baseline.\n\nThe difference was particularly large in technology:\n\nAI requirements also moved into nontechnical occupations.\n\nIn marketing, the share of postings mentioning AI rose from 8.4 percent at the beginning of 2025 to 14.9 percent in December.\n\nIn human resources, the share doubled from 4.4 percent to 8.8 percent.\n\nThis does not mean every marketing or HR worker has become an AI specialist. Employers are adding AI-related tasks to existing jobs.\n\nThe title may stay the same while the hiring standard changes.\n\nThe strongest warning appears in entry-level hiring.\n\nA Stanford study using payroll records from 25 million US workers found that employment among workers aged 22 to 25 declined 13 percent in occupations with the highest AI exposure after 2022.\n\nThe Federal Reserve Bank of Dallas reviewed that result using Current Population Survey data. Its analysis also found a decline among young workers in highly exposed occupations.\n\nThe share of young workers employed in those occupations fell from 16.4 percent in November 2022 to 15.5 percent in September 2025.\n\nThe decline did not appear to come mainly from layoffs.\n\nYoung workers were having more trouble entering highly exposed occupations in the first place. The job-finding rate for young labor-market entrants seeking highly exposed work fell by more than 3 percentage points from its recent peak.\n\nThe researchers warned that the pattern may not be causal. AI-exposed occupations differ from other occupations in education, industry, and sensitivity to the business cycle.\n\nThe aggregate effect was also small. The Dallas Fed estimated that even if the entire decline translated into unemployment, it would explain only around 0.1 percentage point of the increase in the overall unemployment rate since November 2022.\n\nThe measured problem is concentrated.\n\nAI has not produced mass unemployment, but some young workers are finding fewer entry points into occupations where junior tasks can be automated.\n\nThe broader data does not support the claim that AI has already destroyed the US job market.\n\nA Federal Reserve analysis examined Lightcast job postings and Census Bureau survey data from more than one million firms.\n\nThe researchers found no evidence that industries or companies with higher AI adoption were posting fewer jobs.\n\nAt the firm level, the estimated effect was close to zero. Companies requesting AI skills did not show a later collapse in total postings.\n\nThe Yale Budget Lab reached a similar result. Its analysis found no statistically clear effect of AI exposure on employment or inflation-adjusted hourly wages.\n\nThe US labor market has weakened, but AI is only one possible factor. Interest rates, slower economic growth, post-pandemic normalization, and reduced worker turnover also affect hiring.\n\nThe current evidence supports a change in hiring priorities more strongly than a collapse in total employment.\n\nSome new jobs involve building AI directly:\n\nOther jobs combine AI with an existing field:\n\nLightcast analyzed more than 1.3 billion job postings and reported that 51 percent of postings requesting AI skills were outside IT and computer science in 2024.\n\nThe same analysis found that job advertisements requesting AI skills offered salaries 28 percent higher on average, or nearly $18,000 more per year.\n\nThat figure is an advertised-pay difference, not proof that learning AI automatically raises someone’s salary by 28 percent. AI jobs may already be concentrated in higher-paying occupations, industries, and locations.\n\nIt does show where employers are placing value.\n\nThey increasingly want workers who understand a professional field and can apply AI within it.\n\nThe data points to three hiring changes.\n\nJunior employees have traditionally learned through tasks such as research, basic coding, document review, data entry, and first-draft preparation.\n\nGenerative AI can now complete parts of that work.\n\nA company may still hire senior workers to review output, manage clients, and make decisions while reducing the number of junior employees needed to produce the first draft.\n\nThis helps explain why entry-level workers can struggle even when experienced employment remains stable.\n\nA marketing position may now require experience with AI content tools. A financial role may request machine-learning knowledge. A software role may require experience integrating language models.\n\nThe company is not always creating a separate AI department.\n\nIt is adding AI expectations to existing positions.\n\nIf an employee can use AI to draft reports, analyze information, and automate routine work, the employer may combine responsibilities that were previously divided among several people.\n\nThis does not always remove a job immediately. It can reduce the number of new workers hired as the company grows.\n\nThat effect appears in hiring data before it appears in layoff announcements.\n\nThe World Economic Forum’s Future of Jobs Report surveyed more than 1,000 employers representing over 14 million workers in 55 economies.\n\nAcross technology, demographics, trade, economic conditions, and the energy transition, employers projected:\n\nThese numbers cover several economic forces. They are not an AI-only forecast.\n\nThe report separately estimates that AI and data-processing technologies could create 11 million roles while replacing 9 million by 2030.\n\nAmong surveyed employers:\n\nThe fastest-growing roles by percentage included big data specialists, fintech engineers, and AI and machine-learning specialists.\n\nThe largest job gains by total number were expected in frontline and essential work, including agriculture, delivery, construction, care, and education.\n\nNew employment will not consist entirely of AI engineers.\n\nThe US Bureau of Labor Statistics expects AI adoption to increase demand in some technical occupations while reducing demand in administrative and repetitive information-processing work.\n\nIts 2024 to 2034 projections include:\n\nThese projections include more than AI. Industry growth, consumer demand, demographics, and other technologies also affect employment.\n\nThe direction is still clear.\n\nJobs involving data, software, security, and technical decision-making are expected to grow. Jobs centered on routine information handling face weaker demand.\n\nThe available evidence does not show an AI-caused collapse in total employment.\n\nIt shows a narrower route into many knowledge-work careers.\n\nEmployers are hiring fewer generalists in weak sectors while increasing demand for workers who can use AI inside a specific occupation. Entry-level candidates face the most immediate pressure because many of their traditional training tasks are easier to automate.\n\nThe strongest position is domain knowledge combined with practical AI ability.\n\nThat might mean a marketer who can measure AI-assisted campaigns, a financial analyst who can test model output, or a developer who can integrate an AI system and verify its behavior.\n\nPrompting alone is unlikely to be enough.\n\nEmployers are looking for evidence that a candidate can use AI to complete real work accurately, safely, and with less supervision.\n\nNew jobs are appearing because AI creates demand for technical specialists and changes existing positions. Other jobs decline because the same technology reduces the amount of labor required for routine tasks.\n\nThe job market is not simply losing jobs or gaining jobs.\n\nIt is replacing one set of hiring requirements with another.\n\n[AI Is Destroying the Job Market — So Why Are New Jobs Appearing?](https://blog.stackademic.com/ai-is-destroying-the-job-market-so-why-are-new-jobs-appearing-134bdca87af0) was originally published in [Stackademic](https://blog.stackademic.com) on Medium, where people are continuing the conversation by highlighting and responding to this story.", "url": "https://wpnews.pro/news/ai-is-destroying-the-job-market-so-why-are-new-jobs-appearing", "canonical_source": "https://blog.stackademic.com/ai-is-destroying-the-job-market-so-why-are-new-jobs-appearing-134bdca87af0?source=rss----d1baaa8417a4---4", "published_at": "2026-08-12 13:38:37+00:00", "updated_at": "2026-08-12 13:52:53.082925+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-policy", "ai-research"], "entities": ["Indeed", "Lightcast", "US Bureau of Labor Statistics", "World Economic Forum", "ChatGPT", "Stanford AI Index", "Indeed Hiring Lab"], "alternates": {"html": "https://wpnews.pro/news/ai-is-destroying-the-job-market-so-why-are-new-jobs-appearing", "markdown": "https://wpnews.pro/news/ai-is-destroying-the-job-market-so-why-are-new-jobs-appearing.md", "text": "https://wpnews.pro/news/ai-is-destroying-the-job-market-so-why-are-new-jobs-appearing.txt", "jsonld": "https://wpnews.pro/news/ai-is-destroying-the-job-market-so-why-are-new-jobs-appearing.jsonld"}}