{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-28T06:20:51.496Z","headline":"就业形势如何？区分人工智能的炒作与现实","description":"目前几乎没有证据表明AI正在导致大规模失业，AI高暴露职业的失业率上升幅度（0.77个百分点）甚至低于低暴露职业（0.85个百分点）。AI对工人生产率的影响喜忧参半但总体积极，企业采用速度加快但分布不均。早期职业人群（如软件开发者）在AI暴露岗位上的就业自ChatGPT发布后出现明显下降，被研究者比作\"煤矿中的金丝雀\"。","url":"https://www.aioga.com/news/cms1podi101muro05q5oy44gz/","mainEntityOfPage":"https://www.aioga.com/news/cms1podi101muro05q5oy44gz/","datePublished":"2026-07-26T11:06:49.887Z","dateModified":"2026-07-26T11:06:49.887Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://siepr.stanford.edu/publications/policy-brief/what-really-happening-jobs-separating-ai-hype-reality","https://aihot.virxact.com/items/cms1podi101muro05q5oy44gz"],"canonicalUrl":"https://www.aioga.com/news/cms1podi101muro05q5oy44gz/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：目前几乎没有证据表明AI正在导致大规模失业，AI高暴露职业的失业率上升幅度（0.77个百分点）甚至低于低暴露职业（0.85个百分点）。 Aioga 将其归入「论文研究」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cms1podi101muro05q5oy44gz/","dateCreated":"2026-07-26T11:06:49.887Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"siepr.stanford.edu source article","url":"https://siepr.stanford.edu/publications/policy-brief/what-really-happening-jobs-separating-ai-hype-reality","datePublished":"2026-07-26T11:06:49.887Z","provider":{"@type":"Organization","name":"siepr.stanford.edu","url":"https://siepr.stanford.edu/publications/policy-brief/what-really-happening-jobs-separating-ai-hype-reality"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cms1podi101muro05q5oy44gz","datePublished":"2026-07-26T11:06:49.887Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cms1podi101muro05q5oy44gz"}}],"aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","originalPublisher":{"name":"siepr.stanford.edu","url":"https://siepr.stanford.edu/publications/policy-brief/what-really-happening-jobs-separating-ai-hype-reality"},"article":{"id":"cms1podi101muro05q5oy44gz","slug":"cms1podi101muro05q5oy44gz","url":"https://www.aioga.com/news/cms1podi101muro05q5oy44gz/","title":"就业形势如何？区分人工智能的炒作与现实","title_en":"","summary":"目前几乎没有证据表明AI正在导致大规模失业，AI高暴露职业的失业率上升幅度（0.77个百分点）甚至低于低暴露职业（0.85个百分点）。AI对工人生产率的影响喜忧参半但总体积极，企业采用速度加快但分布不均。早期职业人群（如软件开发者）在AI暴露岗位上的就业自ChatGPT发布后出现明显下降，被研究者比作\"煤矿中的金丝雀\"。","source":"Hacker News 热门（buzzing.cc 中文翻译）","sourceUrl":"https://siepr.stanford.edu/publications/policy-brief/what-really-happening-jobs-separating-ai-hype-reality","aiHotUrl":"https://aihot.virxact.com/items/cms1podi101muro05q5oy44gz","publishedAt":"2026-07-26T11:06:49.887Z","category":"论文研究","score":48,"selected":false,"articleBody":["Advances in AI models have sparked fears that rapid disruption of labor markets is imminent, if not already underway. A steady drumbeat of media articles has forecast a grim future for white-collar work due to AI.[1]：#1 Fears of an “AI jobs apocalypse” are often amplified by AI leaders themselves. For example, Dario Amodei, CEO of Anthropic, has predicted that AI could wipe out half of white-collar jobs and push unemployment to 20 percent. A labor market upheaval of this magnitude would cause enormous suffering for many households and pose a significant challenge for policymakers.","While the public has been debating AI’s potential impact on firms and their workers, research and data have been catching up. Our goal in this brief is to synthesize the fast-growing body of research on AI’s impact for policymakers and others eager to understand how AI is affecting the labor market right now. For ease of exposition, we organize this empirical evidence into a set of stylized facts, as follows:","We will now explore each of these points in greater depth.","No one can predict the future, but there is little evidence that AI is causing significant job losses right now . Unemployment among workers in occupations most exposed to AI-driven disruption is rising, but not faster than among those least exposed.[2]：#2 As shown in Figure 1, the unemployment rate for the top quintile of AI-exposed workers has risen by 0.77 percentage points since 2022, while the unemployment rate for the least-exposed workers rose slightly more, by 0.85 percentage points over the same period. These aggregate trends suggest a broadly softening labor market, rather than one characterized by AI-driven job losses.","Figure 1: Unemployment rate by AI-exposure quintile, 2015-2026 (quarterly)","There is also little evidence of AI depressing employment or job postings in the most highly exposed occupations. Employment trends in occupations with high exposure to AI are fairly stable.[4]：#4 While employment growth in coding-heavy occupations has slowed somewhat, it remains positive.[5]：#5 There is no evidence that AI adoption has negatively impacted firms’ job postings.[6]：#6 Indeed, online job postings for software developers — a very highly exposed occupation — have been growing faster than for other occupations over the last year.[7]：#7 Among firms that adopted enterprise AI, employment grew by 10 percent in the two years following adoption, an effect driven by firms with the highest per capita AI spending.[8]：#8","What about the companies announcing layoffs, increasingly citing AI as a driving factor?[9]：#9 Both industry leaders and labor economists express some healthy skepticism about these claims.[10]：#10 While some narrow layoffs may be connected to AI-related automation, others appear driven by a desire to free up cash flow for AI investments or to reduce headcount after pandemic-era over-hiring. Human resource executives say the impacts of AI are more evident in role consolidation and hiring avoidance in roles where AI can automate many tasks.[11]：#11","This doesn’t mean AI isn't having any negative impact on some workers; rather, the effects so far are more nuanced than an imminent “AI jobs apocalypse” would suggest. AI could be creating pockets of disruption that aren’t easily visible in aggregate economic data. In particular, there is some evidence that AI may be negatively affecting demand for young white-collar workers, as we discuss next.","Recent graduates are facing the most challenging job market in years, with unemployment rates for new grads reaching 5.6 percent in early 2026, up 1.6 percentage points from three years earlier.[12]：#12 This rise has fueled concerns that AI is replacing many of the jobs recent graduates once sought. Junior roles often involve routine research, analysis, and writing tasks that can now largely be done with AI. Consistent with this intuition is empirical evidence that AI may be dampening demand for new hires.","In a widely discussed paper, Brynjolfsson, Chandar, and Chen report a notable decline in employment among early-career workers in AI-exposed occupations, notably software developers and customer service representatives, since ChatGPT’s launch in 2022. As shown in Figure 2, by contrast, employment among older workers in those same occupations remained relatively stable or continued to grow. The authors liken these young workers to “canaries in the coal mine,” the first to experience labor market disruption from AI.[13]：#13 Other researchers have since identified similar negative effects on the hiring of young AI-exposed workers in the U.S. and the U.K., beginning in 2022.[14]：#14","Figure 2: Employment by age in two AI-exposed occupations, 2021–2026","The timing of this impact is somewhat surprising. AI model capabilities were very limited in 2022. Other factors may be at play, including rising interest rates, pandemic over-hiring, and remote work. For example, in response to rising inflation, the Federal Reserve aggressively hiked interest rates beginning in March 2022 — several months before ChatGPT’s public release the following November. Two new papers find that hiring in AI-exposed occupations began to decline after the Fed’s monetary policy shift but before ChatGPT’s debut.[15]：#15 Also, the rapid shift to remote work during the pandemic, which can slow on-the-job learning, erodes the value of hiring younger workers. New evidence suggests hiring in remote-friendly occupations began to skew toward more experienced workers after the pandemic.[16]：#16","In response to concerns about these and other possible confounding effects, Brynjolfsson and coauthors added new controls. In these results, employment declines among entry-level workers are not notable until 2024.[17]：#17 It thus seems plausible that factors other than AI are driving declines in hiring young workers around 2022. However, by 2024, both AI adoption and model capabilities had advanced significantly, making the direct impacts of AI more plausible.","Hiring of entry-level workers in AI-exposed occupations clearly declined markedly around 2022. What is harder to determine is whether this decline constitutes clear evidence of AI’s impact on demand for young workers, now or in the future. Given other macroeconomic shocks to labor demand around this time, isolating AI’s impact is empirically challenging. This remains an open and active area of research.","In experimental settings, generative AI tools — such as chatbots and coding tools — have often been found to disproportionately improve the performance of less experienced and poorer performing workers. In one such study, researchers analyzed the impact of a generative AI assistant on customer support agents in a large call center.[18]：#18 The assistant increased overall productivity by 15 percent, with gains highly concentrated among novice and less-skilled workers, who saw a 30 percent improvement in the number of issues resolved per hour. There was no performance improvement among highly skilled customer service agents, whose response quality fell slightly.","Other studies also show that AI tools generally speed up task completion, though the effects vary by task, context, and skill level. Figure 3 summarizes research findings on the impact of AI tools on speed across a variety of tasks. In software development, the use of GitHub Copilot — an AI tool that suggests code and functions — allowed tasks to be completed 56 percent faster, with gains concentrated among less-experienced programmers.[19]：#19 More modest impacts on software development were found in a separate paper, with effects ranging from 10 percent to 30 percent, depending on the firm where it was deployed.[20]：#20 In writing tasks, access to ChatGPT was found to reduce writing time for workers of all abilities and improve writing quality among low-ability writers.[21]：#21 Among young lawyers, the use of an AI tool was found to increase the speed of legal work, such as drafting contracts.[22]：#22 In medical settings, an assessment of AI scribes found some evidence that they increase the speed of medical note-taking, although the effects are small and occasional inaccuracies require physician oversight.[23]：#23","Figure 3: Experimental estimates of generative AI's effect on task speed","In many workplace settings, employees must determine when and how to deploy AI assistance, which complicates matters considerably. Dell’Acqua and coauthors document that AI’s capabilities are “jagged,” meaning performance can be strongly positive or negative depending on the specific task to which it is deployed.[24]：#24 Determining whether AI output is useful or needs further refinement can require skilled judgment. For example, when researchers deployed an AI assistant to help Kenyan entrepreneurs, less-skilled entrepreneurs posted lower revenues and profits from using an AI tool than those who grew their businesses without it.[25]：#25 Examining why, the researchers found that less-skilled entrepreneurs were more likely to act on generic advice from the AI tool that was detrimental to their specific situations, while better performers extracted suggestions more tailored to their business needs.","While AI can make some employees more individually productive, it can also narrow the range of creative ideas. The use of AI in creative writing tasks was found to increase the quality of stories produced by less-skilled writers, but AI-generated stories were much more similar to one another than human-generated ones.[26]：#26 Hao and coauthors found that, while scientists who adopt AI tools publish more papers, AI adoption reduces the total number of topics studied and scientists’ engagement with one another.[27]：#27","AI clearly has the potential to improve worker performance across many settings. However, several frictions could prevent the gains observed in experimental studies from showing up in aggregate productivity measures yet. The share of tasks that AI can profitably speed up may be small relative to the total number of economic tasks.[28]：#28 Bottlenecks in processes where AI cannot currently assist could limit productivity gains for a time.[29]：#29 Also, when firms adopt new technologies, measured productivity can initially fall because firms need to divert resources to reorganize functions and make complementary investments.[30]：#30 While AI is likely to boost productivity eventually, given the current pace of firm adoption, it may not be visible in aggregate statistics yet.","If AI is truly a transformative technology, whether its sweeping effects occur over three years or 20 years fundamentally changes the policy problem. A swift transformation could displace many workers at once, while a slower one gives policymakers and workers more time to adapt. One of the most important indicators of the timing and distribution of AI’s potential economy-wide effects is the pace of firm adoption.","Figure 4: AI adoption at work, 2023-2026","Surveys of firms show a wide range of adoption rates, but all show rapid growth in the use of AI. Figure 4 shows several widely cited measures of firm adoption. The most conservative estimate of firm adoption is the Census Bureau’s Business Trends and Outlook Survey (BTOS), a nationally representative survey of businesses, which currently estimates that about 20 percent of firms use AI. Other measures of AI use in the workplace generally show higher rates of firm adoption; at the high end, a survey of executives in U.S. firms found that over 80 percent of employees use AI at work.[31]：#31 Ramp, a fintech expense management company, estimates that over 50 percent of its clients are spending money on AI tools and AI vendors. A nationally representative survey of households finds that over 40 percent of employed respondents use AI at work.","Variance in adoption rates across measures is largely due to differences in methodology and sample composition. Larger firms are more likely to adopt AI, so employment-weighted adoption rates are higher than simple firm counts would suggest. Ramp clearly states in the methodology for its AI index that firms using its platform are not a representative sample of businesses and are skewed toward technology firms, which have higher rates of AI adoption. In a review of the surveys on AI adoption, a recent Federal Reserve research report noted good reasons to favor the relatively low Census estimates, which use a national sampling frame, and showed how differences in adoption rates across surveys narrow considerably when each is weighted by employment.[32]：#32","The distribution of firms that are adopting AI tells us where AI’s effects will likely happen first. Currently, the survey evidence suggests AI adoption is concentrated among technology firms and information-intensive sectors like finance. The most common AI deployments are in sales and marketing, IT, strategy, finance, and accounting. Even among adopters, AI use remains narrow rather than broad, limited either to one or two business functions or to low-frequency use across a broader set of tasks, with comprehensive AI integration the exception rather than the rule.[33]：#33 A recent McKinsey survey found that most businesses remain in the experimentation and piloting phase of AI, with only a few large companies leading the way in scaling beyond pilots. [34]：#34","AI adoption also appears to have had little effect on employment. In the Census data, only 5 percent of firms report any employment impact, with equal numbers reporting gains and losses. Eighty percent of executives surveyed by the Federal Reserve Bank of Atlanta said AI investments have yet to alter their headcount or improve productivity. A large-scale Danish study linking data on AI adoption by workers to firms found that AI adoption results in the restructuring of worker tasks and time, but that these changes are not yet affecting worker employment, hours or earnings.[35]：#35 A recent study found that among firms adopting AI, employment grew by 10 percent in the two years following adoption.[36]：#36","Taken together, the data suggest firm AI adoption is moving quickly but unevenly throughout the economy, with many firms still in the experimentation stage and only the more advanced adopters deploying AI more broadly.","Technological advances typically take years, even decades, to transform businesses and labor markets. In 1987, economist Robert Solow famously quipped, “You can see the computer age everywhere but the productivity statistics.” This lag between innovation and growth occurs because firms' adoption of new technologies is often uneven and slow. Firms, for instance, invested heavily in PC technology in the 1980s. But leveraging the advantages of the PC required additional investments — in enterprise software, worker retraining, and organizational restructuring. These adoption frictions were a major reason measurable economic returns from the computer revolution did not appear until the late 1990s.","It is always difficult to predict what will come next. In Silicon Valley, opinion is sharply divided between those who see AI as a “normal technology” — transformative but gradual, akin to past technologies — and those who predict world-altering effects as early as 2027. The strongest case for AI as a normal technology is history. Previous technological revolutions have eliminated or reduced labor demand in some occupations while simultaneously creating new jobs and industries. As a result, aggregate employment increased, even as the nature of work and the economy changed.","In contrast, those who believe that AI is fundamentally different point to the uniquely fast pace of AI adoption, AI’s disproportionate impact on cognitive work, and the cross-cutting nature of AI, threatening not just one occupation but much white-collar work. Regardless of which camp is correct, technological revolutions can be deeply disruptive to individuals, making it crucial to better understand — as quickly as possible — AI's evolving impact on the labor market and prepare potential policy responses.","Neale Mahoney is the Trione Director of SIEPR and the TG Wijaya Professor of Economics at Stanford University. He previously served as a Special Policy Advisor in the White House National Economic Council.","Erika McEntarfer is a Research Scholar and Distinguished Policy Fellow at SIEPR. She served as Commissioner of the Bureau of Labor Statistics until August 2025 and, before that, was a Senior Economist in the White House Council of Economic Advisers.","Karsen Wahal is a researcher at SIEPR. He recently graduated from Stanford with a B.A. (with honors) in economics, a B.S. in mathematics and an M.S. in computer science. His primary research interests are in the economics of AI, particularly through the lenses of labor economics, economic growth, market design, and political economy.","The Stanford Institute for Economic Policy Research (SIEPR) catalyzes and promotes evidence-based knowledge about pressing economic issues, leading to better-informed policy solutions for generations to come. We are a nonpartisan research institute, and SIEPR policy briefs reflect the views and ideas of the authors only.","[1] Meg Short, “ Banks Lay the Groundwork for Mass Workforce Cuts as AI Takes Hold ：https://fortune.com/2026/06/07/banks-mass-workforce-cuts-ai-entry-level-jobs-junior-analysts/ ,” Bloomberg , June 7, 2026. Lindsay Ellis, Owen Tucker-Smith, and Allison Pohle, “ Tens of Thousands of White-Collar Jobs Disappearing as AI Starts to Bite ：https://www.wsj.com/economy/jobs/white-collar-jobs-ai-324b749c ,” Wall Street Journal , October 28, 2025. Kevin Roose, “ For Some Recent Graduates, the AI Job Apocalypse May Already Be Here ：https://www.nytimes.com/2025/05/30/technology/ai-jobs-college-graduates.html ,” The New York Times , May 30, 2025. Derek Thompson, “ Something Alarming is Happening to the Job Market ：https://www.theatlantic.com/economy/archive/2025/04/job-market-youth/682641/ ,” The Atlantic , April 30, 2025.","[2] Eckhardt, Sarah, and Nathan Goldschlag. AI and Jobs: The final word (until the next one) ：https://eig.org/ai-and-jobs-the-final-word/. Economic Innovation Group, August 2025. Massenkoff, Maxim, and Peter McCrory. Labor Market Impacts of AI: A new measure and early evidence ：https://www.anthropic.com/research/labor-market-impacts. Anthropic Research, March 2026.","[3] Felten, Edward, Manav Raj, and Robert Seamans. 2021. “Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses：https://doi.org/10.1002/smj.3286.” Strategic Management Journal 42(12): 2195-2217.","[4] Gimbel, Martha, Molly Kinder, Joshua Kendall, and Maddie Lee. Evaluating the Impact of AI on the Labor Market: Current State of Affairs ：https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-current-state-affairs. Yale Budget Lab, October 2025. Chandar, Bharat. Tracking Employment Changes in AI-Exposed Jobs ：https://dx.doi.org/10.2139/ssrn.5384519. SSRN, June 2025.","[5] Crane, Leland, and Paul Soto. “AI and Coder Employment: Compiling the Evidence：https://doi.org/10.17016/FEDS.2026.018.” FEDS Working Paper. No. 2026-018. Board of Governors of the Federal Reserve System, March 2026.","[6] Liu, Jessica, and Douglas Webber. “AI Adoption and Firms’ Job-Posting Behavior：https://www.federalreserve.gov/econres/notes/feds-notes/ai-adoption-and-firms-job-posting-behavior-20260327.html,” FEDS Notes, Board of Governors of the Federal Reserve System, March 27, 2026.","[7] Gallacher, Guillermo. “AI and Job Postings: From Job Destruction to Creation：https://www.hiringlab.org/2026/07/08/ai-and-job-postings-from-destruction-to-creation/?” Indeed Hiring Lab, July 2026.","[8] Kharazian, Ara, Lisa Simon, and Ryan Stevens. A New Look at AI’s Impact on Jobs: Firm-Level AI Spending and Workforce Adjustment ：https://ramp.com/data/ai-jobs-impact. Ramp Economics Lab, June 2026.","[9] Rebecca Bellan and Connie Loizos, “Every Major Tech Layoff in 2026 That Has Name-Checked AI：https://techcrunch.com/2026/07/06/the-running-list-major-tech-layoffs-in-2026-where-employers-cited-ai/.” TechCrunch , July 6, 2026.","[10] Lucy Hodgman, “Sam Altman thinks tech companies are ‘AI-washing’ their layoffs：https://www.sfchronicle.com/tech/article/layoffs-sam-altman-ai-washing-21647451.php,” San Francisco Chronicle , February 21, 2026. Jake Angelo, “Marc Andreessen says AI layoffs are a farce: Companies are 75% overstaffed, and AI is the ‘silver bullet excuse’ to clean house：https://fortune.com/2026/03/31/marc-andreessen-ai-layoffs-silver-bullet-excuse-overhiring/,” Fortune , March 31, 2026. Satyam Mishra, “AI Overtakes All Other Reasons for Job Cuts as Layoffs Surge in 2026：https://www.outlookbusiness.com/corporate/ai-overtakes-all-other-reasons-for-us-job-cuts-as-layoffs-surge-in-2026.” Outlook Business , June 7, 2026.","[11] Roy Maurer. “The AI Layoffs Narrative: Real Transformation, or Scapegoat?：https://www.shrm.org/topics-tools/news/technology/ai-layoffs-transformation-scapegoat” SHRM , May 18, 2026.","[12] ] Federal Reserve Bank of New York, The Labor Market for Recent College Graduates：https://www.newyorkfed.org/research/college-labor-market#--:explore:unemployment, 2026 Q1 data.","[13] Brynjolfsson, Erik, Bharat Chandar, and Ruyu Chen. “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence.：https://digitaleconomy.stanford.edu/publication/canaries-in-the-coal-mine-six-facts-about-the-recent-employment-effects-of-artificial-intelligence/” Stanford Digital Economy Lab, November 2025.","[14] Hosseini Maasoum, Seyed Mahdi, and Guy Lichtinger. Generative AI as Seniority-Biased Technological Change: Evidence from U.S. Resume and Job Posting Data ：http://dx.doi.org/10.2139/ssrn.5425555. SSRN, November 2025. Teeselink, Bouke. Generative AI and Labor Market Outcomes: Evidence from the United Kingdom. ：https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5516798 SSRN, December 2025. Tucker, Lee. “You’re Not Hired: Artificial Intelligence and Early Career Hiring in the Quarterly Workforce Indicators：https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-27.html,” CES Working Paper CES-26-27, April 2026.","[15] Iscenko, Zanna, and Fabien Curto Millet. Looking for the Ladder: Is AI Impacting Entry-Level Jobs? ：https://eig.org/wp-content/uploads/2026/01/TAWP-Iscenko-Millet.pdf Economic Innovation Group, January 2026. Frank, Morgan, Alireza Sabet, Lisa Simon, Sarah Bana, and Renzhe Yu. “AI-Exposed Jobs Deteriorated Before ChatGPT.：https://doi.org/10.48550/arXiv.2601.02554” arXiv, January 2026.","[16] Lambert, Peter and Yannick Schindler. “The Broken Ladder: AI, Remote Work, and Early-Career Hiring：https://dx.doi.org/10.2139/ssrn.6787638.” SSRN, May 2026.","[17] Brynjolfsson, Erik, Bharat Chandar, and Ruyu Chen. “Canaries, Interest Rates, and Timing: More on the Recent Drivers of Employment Changes for Young Workers：https://digitaleconomy.stanford.edu/news/canaries-interest-rates-and-timinga-more-on-recent-drivers-of-employment-changes-for-young-workers/.” Stanford Digital Economy Lab, February 2026.","[18] Brynjolfsson, Erik, Danielle Li, and Lindsey Raymond. 2025. “Generative AI at Work：https://doi.org/10.1093/qje/qjae044.” Quarterly Journal of Economics . 140(2): 889-942.","[19] Peng, Sida, Eirini Kalliamvakou, Peter Cihon, and Mert Demirer. “The Impact of AI on Developer Productivity: Evidence from GitHub Copilot：https://doi.org/10.48550/arXiv.2302.06590.” arXiv, Feb 2023.","[20] Cui, Zheyuan, Mert Demirer, Sonia Jaffe, Leon Musolff, Sida Peng, & Tobias Salz. “The Effect of Generative AI on High-Skilled Work: Evidence from Three Field Experiments：https://dx.doi.org/10.2139/ssrn.4945566.” SSRN, August 2025.","[21] Noy, Shakked, and Whitney Zhang. 2023. “Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence：https://www.science.org/doi/10.1126/science.adh2586.” Science . 381:187-192.","[22] Choi, Jonathan, Amy Monahan, and Daniel Schwarcz. 2024. “Lawyering in the Age of Artificial Intelligence.：https://dx.doi.org/10.2139/ssrn.4626276” Minnesota Law Review . pp 147-218.","[23] Lukac, Paul, William Turner, Sitaram Vangala, Aaron Chin, Joshua Khalili, Ya-Chen Shih, Catherine Sarkisian, Eric Cheng, John Mafi. “Ambient AI Scribes in Clinical Practice: A Randomized Trial：https://ai.nejm.org/doi/full/10.1056/AIoa2501000.” NEJM AI 2025, 2(12).","[24] Dell’Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine Kellogg, Saran Rajendran, Lisa Krayer, Francois Candelon, and Karim Lakhani. “Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality：https://www.hbs.edu/faculty/Pages/download.aspx?name=dell-acqua-et-al-2026-navigating-the-jagged-technological-frontier.pdf.” Harvard Business School Working Paper, No. 24-013. September 2023.","[25] Otis, Nicholas, Rowan Clarke, Solene Delecourt, David Holtz, and Rembrand Koning. “The Uneven Impact of Generative AI on Entrepreneurial Performance: Evidence from a Field Experiment in Kenya：https://www.hbs.edu/ris/download.aspx?name=24-042.pdf.” Harvard Business School Working Paper, No. 24-042. October 2025.","[26] Doshi, Anil, and Oliver Hauser. “Generative AI Enhances Individual Creativity but Reduces the Collective Diversity of Novel Content：https://www.science.org/doi/10.1126/sciadv.adn5290.” Science Advances . July 12, 2024. Moon, Kibum, Kostadin Kushlev, Andrew Bank, Ben Lira Luttges, Indre Viskontas, James Kaufman, Dan Johnson, Angela Duckworth, and Adam Green. “The Creative Link Between Words and Ideas is Weakening in the AI Era.：https://doi.org/10.31234/osf.io/jsz58_v6” Available at ResearchGate. February 2026."],"articleImages":[{"sourceUrl":"https://siepr.stanford.edu/sites/g/files/sbiybj16606/files/styles/responsive_large/public/media/image/fig-1_0.png?itok=EDWKGtLu","alt":"","afterParagraph":4,"url":"/media/articles/cms1podi101muro05q5oy44gz/3c941dfea8973338.png"},{"sourceUrl":"https://siepr.stanford.edu/sites/g/files/sbiybj16606/files/styles/responsive_large/public/media/image/2a_0.png?itok=w29wAChW","alt":"","afterParagraph":10,"url":"/media/articles/cms1podi101muro05q5oy44gz/ee95fcfb77faa28d.png"},{"sourceUrl":"https://siepr.stanford.edu/sites/g/files/sbiybj16606/files/styles/responsive_large/public/media/image/2b_0.png?itok=dGUlEfVF","alt":"","afterParagraph":10,"url":"/media/articles/cms1podi101muro05q5oy44gz/d41e2257f6d9191f.png"},{"sourceUrl":"https://siepr.stanford.edu/sites/g/files/sbiybj16606/files/styles/responsive_large/public/media/image/fig_3_2.png?itok=_n7109YT","alt":"","afterParagraph":16,"url":"/media/articles/cms1podi101muro05q5oy44gz/b0ca9ccf50985482.png"},{"sourceUrl":"https://siepr.stanford.edu/sites/g/files/sbiybj16606/files/styles/responsive_large/public/media/image/fig_4_3.png?itok=a7Aevj3N","alt":"","afterParagraph":21,"url":"/media/articles/cms1podi101muro05q5oy44gz/6153d3500f298e4b.png"}],"mediaStatus":"ok","articleBodyZh":["人工智能模型的进步引发了人们对劳动市场快速动荡即将到来甚至已经开始的担忧。媒体文章持续不断地预示着，由于人工智能，白领工作的未来将不容乐观。[1]：#1 对“人工智能就业末日”的担忧往往由人工智能领域的领导者自己加剧。例如，Anthropic 首席执行官 Dario Amodei 预测，人工智能可能会消灭一半的白领工作，推动失业率达到 20%。如此规模的劳动市场动荡将给许多家庭带来巨大的痛苦，并对政策制定者构成重大挑战。","尽管公众一直在讨论人工智能对企业及其员工的潜在影响，研究和数据也在逐步跟进。我们在本简报的目标是为政策制定者及其他急于了解人工智能如何影响当前劳动市场的人总结快速增长的研究成果。为了方便说明，我们将这些经验证据整理为一组概括性事实，如下所示：","我们现在将更深入地探讨这些要点。","无人能预测未来，但目前几乎没有证据表明人工智能正在造成显著的工作岗位流失。最容易受到人工智能驱动冲击的职业的失业率正在上升，但上升速度并不超过最不容易受到冲击的职业。[2]：#2 如图 1 所示，自 2022 年以来，受人工智能影响最高的五分之一工人的失业率上升了 0.77 个百分点，而受影响最小的工人失业率在同一时期略微上升了 0.85 个百分点。这些总体趋势表明，劳动市场总体趋于放缓，而不是因人工智能驱动的工作岗位流失所主导的市场。","图 1：按人工智能暴露程度五分位数划分的失业率，2015-2026 年（季度）","在高度暴露于人工智能的职业中，也几乎没有证据表明人工智能正在压低就业或职位发布。在高暴露职业的就业趋势相对稳定。[4]：#4 虽然编码密集型职业的就业增长有所放缓，但仍保持正增长。[5]：#5 没有证据表明人工智能的采用对企业的职位发布产生了负面影响。[6]：#6 实际上，软件开发者——一个高度暴露的职业——的在线职位发布在过去一年中的增长速度快于其他职业。[7]：#7 在采用企业人工智能的公司中，采用后的两年内就业增长了10%，这一效果主要由人均人工智能支出最高的公司推动。[8]：#8","那些宣布裁员并越来越多地将人工智能作为推动因素的公司呢？[9]：#9 行业领导者和劳动经济学家对这些说法都持一定的健康怀疑态度。[10]：#10 虽然一些有限的裁员可能与人工智能相关的自动化有关，但其他裁员似乎是出于释放现金流以投资人工智能或在疫情期间过度招聘后的人员减少的考虑。人力资源主管表示，人工智能的影响更多体现在职位整合和在人工智能可以自动完成许多任务的岗位上避免招聘。[11]：#11","这并不意味着人工智能对某些工人没有任何负面影响；而是迄今为止的影响比迫在眉睫的“人工智能工作灾难”所暗示的更为细致。人工智能可能正在制造一些在整体经济数据中不易察觉的破坏性领域。特别是，有证据表明，人工智能可能对年轻白领工人的需求产生负面影响，正如我们接下来讨论的。","近年来毕业生面临着多年来最具挑战性的就业市场，2026年初新毕业生的失业率达到5.6%，比三年前上升了1.6个百分点。[12]：#12 这一上涨引发了人们对人工智能正在取代许多新毕业生曾经追求的工作的担忧。初级职位通常涉及常规的研究、分析和写作任务，而这些任务现在大部分可以由人工智能完成。与这一直觉一致的是，有实证证据表明人工智能可能在抑制新员工的需求。","在一篇备受讨论的论文中，Brynjolfsson、Chandar 和 Chen 报告称，自 2022 年 ChatGPT 推出以来，AI 暴露职业中的早期职业工作者就业显著下降，特别是软件开发人员和客户服务代表。如图 2 所示，相比之下，这些职业中年长工作者的就业保持相对稳定或持续增长。作者将这些年轻工作者比作“煤矿中的金丝雀”，是最先经历 AI 对劳动力市场冲击的人。[13]：#13 此后，其他研究人员也发现，自 2022 年起，美国和英国的年轻 AI 暴露工作者的招聘受到了类似的负面影响。[14]：#14","图 2：2021–2026 年两个 AI 暴露职业按年龄分布的就业情况","这种影响的时间点有些令人惊讶。2022 年 AI 模型的能力非常有限。可能还有其他因素在起作用，包括利率上升、疫情期间的过度招聘以及远程工作。例如，为应对通货膨胀上升，美联储自 2022 年 3 月起大幅加息——比 ChatGPT 同年 11 月向公众发布早了几个月。两篇新论文发现，在美联储货币政策调整之后但在 ChatGPT 推出之前，AI 暴露职业的招聘已经开始下降。[15]：#15 此外，疫情期间向远程工作的快速转变可能减缓在职学习，降低招聘年轻工人的价值。新证据表明，疫情后，适合远程工作的职业的招聘倾向于更有经验的工作者。[16]：#16","针对这些及其他可能的混杂因素的担忧，Brynjolfsson 及其合著者增加了新的控制变量。在这些结果中，入门级工作者的就业下降直到 2024 年才显得显著。[17]：#17 因此，似乎合理推测，除了 AI 之外的因素在 2022 年左右导致了年轻工作者招聘下降。然而，到 2024 年，AI 的采用和模型能力都已显著提升，使得 AI 的直接影响更为合理。","在 AI 相关职业中，2022 年左右初级员工的招聘明显下降。更难确定的是，这一下降是否构成 AI 对年轻工人需求影响的明确证据，无论是现在还是未来。鉴于这一时期对劳动力需求的其他宏观经济冲击，要单独确定 AI 的影响在实证上是具有挑战性的。这仍然是一个开放且活跃的研究领域。","在实验环境中，生成式 AI 工具——例如聊天机器人和编程工具——经常被发现能够不成比例地提升经验较少和表现较差的员工的工作绩效。在一项研究中，研究人员分析了生成式 AI 助手对大型呼叫中心客户支持人员的影响。[18]：#18 该助手将整体生产力提高了 15%，且收益高度集中在新手和技能较低的员工身上，这些员工每小时解决问题的数量提高了 30%。而对于高技能客户服务人员，绩效没有改善，回应质量略有下降。","其他研究也表明，AI 工具通常可以加快任务完成速度，尽管效果因任务、环境和技能水平而异。图 3 总结了 AI 工具对各种任务速度影响的研究发现。在软件开发中，使用 GitHub Copilot——一种提供代码和函数建议的 AI 工具——能够使任务完成速度提高 56%，收益集中在经验较少的程序员身上。[19]：#19 在另一篇论文中，对软件开发的影响较为温和，效果在 10% 至 30% 之间，具体取决于部署该工具的公司。[20]：#20 在写作任务中，使用 ChatGPT 被发现可以缩短所有能力水平员工的写作时间，并提高低能力写作者的写作质量。[21]：#21 在年轻律师中，使用 AI 工具可以提升法律工作的速度，例如合同起草。[22]：#22 在医疗环境中，对 AI 记录员的评估发现，它们在一定程度上可以提升医疗记录的速度，尽管效果不大，且偶尔的错误仍需医生监督。[23]：#23","图 3：生成式 AI 对任务速度的实验性估计","在许多工作场所环境中，员工必须确定何时以及如何部署人工智能辅助，这使问题复杂化。Dell’Acqua及合著者记录了人工智能的能力是“参差不齐的”，意味着其表现可能因具体任务的不同而显著正面或负面。[24]：#24 判断人工智能输出是否有用或是否需要进一步完善可能需要熟练的判断。例如，当研究人员部署一位人工智能助手来帮助肯尼亚企业家时，技能较低的企业家使用人工智能工具后，其收入和利润低于那些没有使用人工智能工具而发展业务的企业家。[25]：#25 对原因进行分析时，研究人员发现，技能较低的企业家更可能根据人工智能工具提供的一般性建议采取行动，而这些建议对他们的具体情况是不利的，而表现较好的企业家则能提取出更符合其商业需求的建议。","虽然人工智能可以使部分员工在个体上更高效，但它也可能缩小创意想法的范围。在创意写作任务中使用人工智能被发现能提高技能较低的作家所创作故事的质量，但人工智能生成的故事之间的相似性远高于人类创作的故事。[26]：#26 Hao及合著者发现，尽管采用人工智能工具的科学家发表了更多论文，但人工智能的采用减少了所研究主题的总数以及科学家之间的互动。[27]：#27","人工智能显然有可能在许多环境中提高员工的工作表现。然而，有几种摩擦可能阻止实验研究中观察到的收益在总体生产力指标中显现。人工智能可以有效加速的任务份额可能相对于经济任务总量而言较小。[28]：#28 在目前人工智能无法协助的流程中，瓶颈可能在一段时间内限制生产力提升。[29]：#29 此外，当企业采纳新技术时，测量到的生产力可能最初会下降，因为企业需要调配资源来重组职能并进行互补投资。[30]：#30 尽管人工智能最终可能提升生产力，但考虑到企业当前的采纳速度，这一提升在总体统计数据中可能尚未显现。","如果人工智能确实是一种变革性技术，那么其广泛影响是在三年内发生还是在20年内发生，本质上会改变政策问题。快速的变革可能会一次性使许多工人失业，而较慢的变革则会给政策制定者和工人更多时间去适应。衡量人工智能对整个经济潜在影响的时间和分布的最重要指标之一是企业采用的速度。","图4：工作中的人工智能采用情况，2023-2026年","对企业的调查显示，企业采用人工智能的比例差异很大，但都显示出人工智能使用的快速增长。图4展示了几种被广泛引用的企业采用指标。企业采用的最保守估计是人口普查局的《商业趋势与展望调查》(BTOS)，这是一个具有全国代表性的企业调查，目前估计约有20%的企业使用人工智能。其他关于工作场所人工智能使用的衡量方法通常显示企业采用率更高；在高端水平上，一项针对美国企业高管的调查发现，超过80%的员工在工作中使用人工智能。[31]：#31 Ramp，一家金融科技费用管理公司，估计其超过50%的客户在人工智能工具和供应商上花钱。一项全国代表性的家庭调查发现，超过40%的受雇受访者在工作中使用人工智能。","不同指标之间企业人工智能采用率的差异主要是由于方法和样本构成的不同。大企业更可能采用人工智能，因此按雇佣人数加权的采用率比简单的企业数量统计显示的要高。Ramp在其人工智能指数的方法论中明确指出，使用其平台的企业并非代表性企业样本，并且偏向科技公司，而科技公司采用人工智能的比例较高。在对人工智能采用调查的综述中，一份最近的美联储研究报告指出，采用全国抽样框的较低人口普查估计有充分理由，并且显示出当按雇佣人数加权后，各调查间的采用率差异显著缩小。[32]：#32","采用人工智能（AI）的企业分布告诉我们AI的影响最可能首先发生在哪里。目前，调查数据显示，AI的采用集中在科技公司以及金融等信息密集型行业。最常见的AI应用领域包括销售与营销、信息技术、战略、金融和会计。即使是在采用者中，AI的使用仍然是有限的，而非广泛的，要么仅限于一两个业务职能，要么在更广的任务范围内使用频率较低，而全面整合AI是例外而非常态。[33]：#33 麦肯锡最近的一项调查发现，大多数企业仍处于AI的试验和试点阶段，只有少数大型公司在超越试点阶段进行大规模部署。[34]：#34","AI的采用似乎对就业影响甚微。在人口普查数据中，只有5%的企业报告有任何就业影响，增减人数相同。亚特兰大联邦储备银行调查的80%高管表示，AI投资尚未改变其员工人数或提高生产力。一项将员工AI采用数据与企业数据联系起来的丹麦大规模研究发现，AI采用会导致员工任务和时间的重组，但这些变化尚未影响员工的就业、工作时间或收入。[35]：#35 最近的一项研究发现，在采用AI的企业中，采用后的两年内就业增长了10%。[36]：#36","综合来看，数据表明企业AI的采用正在迅速推进，但在整个经济中分布不均，许多企业仍处于试验阶段，只有较为先进的采用者才将AI更广泛地部署。","技术进步通常需要数年，甚至数十年，才能改变企业和劳动市场。1987年，经济学家罗伯特·索洛著名地调侃道：“你可以在任何地方看到计算机时代，但生产率统计数据却没有。”这种创新与增长之间的滞后现象，是因为企业对新技术的采用通常是不均衡且缓慢的。例如，企业在1980年代大量投资于个人计算机技术。但要利用个人计算机的优势，需要额外投资——在企业软件、员工再培训和组织结构调整方面。这些采用摩擦是计算机革命的可测经济回报直到1990年代后期才出现的主要原因。","预测下一步会发生什么总是困难的。在硅谷，人们的观点存在明显分歧，一方面有人认为人工智能是“普通技术”——具有变革性但渐进，类似于以往的技术；另一方面有人预测早在2027年，人工智能就可能带来改变世界的影响。支持人工智能作为普通技术的最有力论据是历史。过去的技术革命在某些职业中减少或消除了劳动需求，同时又创造了新的职业和行业。因此，即使工作的性质和经济发生了变化，总体就业人数仍然增加。","相反，那些认为人工智能本质上不同的人指出，人工智能采用速度异常快，人工智能对认知工作的影响不成比例，以及人工智能的跨领域性质，这不仅威胁某一个职业，而是威胁大部分白领工作。无论哪一派观点正确，技术革命都可能对个人造成深远的冲击，因此尽快更好地理解人工智能对劳动市场的不断变化的影响，并准备潜在的政策应对措[施]，至关重要。","尼尔·马霍尼是SIEPR的特里奥内主任及斯坦福大学TG Wijaya经济学教授。他曾在白宫国家经济委员会担任特别政策顾问。","埃丽卡·麦克恩塔弗是SIEPR的研究学者及杰出政策研究员。她曾担任劳工统计局专员，直至2025年8月，此前，她在白宫经济顾问委员会担任高级经济学家。","卡尔森·瓦哈尔是SIEPR的研究员。他最近毕业于斯坦福大学，获得经济学学士（荣誉）、数学学士和计算机科学硕士学位。他的主要研究兴趣集中在人工智能经济学，特别是通过劳动经济学、经济增长、市场设计和政治经济学的视角。","斯坦福经济政策研究所（SIEPR）推动和促进关于紧迫经济问题的基于证据的知识，从而为后代提供更明智的政策解决方案。我们是一个无党派的研究机构，SIEPR的政策简报仅反映作者的观点和想法。","[1] 梅格·肖特，《银行为AI普及时的大规模裁员铺路：https://fortune.com/2026/06/07/banks-mass-workforce-cuts-ai-entry-level-jobs-junior-analysts/》，彭博社，2026年6月7日。林赛·埃利斯、欧文·塔克-史密斯和艾莉森·波勒，《随着AI开始影响，数万白领职位消失：https://www.wsj.com/economy/jobs/white-collar-jobs-ai-324b749c》，《华尔街日报》，2025年10月28日。凯文·鲁斯，《对于一些应届毕业生来说，AI就业灾难可能已经到来：https://www.nytimes.com/2025/05/30/technology/ai-jobs-college-graduates.html》，《纽约时报》，2025年5月30日。德里克·汤普森，《就业市场正在发生令人不安的变化：https://www.theatlantic.com/economy/archive/2025/04/job-market-youth/682641/》，《大西洋》，2025年4月30日。","[2] 埃克哈特，莎拉 和 内森·戈德斯拉格。《AI与就业：最终论断（直到下一个）https://eig.org/ai-and-jobs-the-final-word/》，经济创新集团，2025年8月。马森科夫，马克西姆 和 彼得·麦克克洛里。《人工智能对劳动力市场的影响：一种新度量和早期证据：https://www.anthropic.com/research/labor-market-impacts》，Anthropic研究，2026年3月。","[3] 费尔滕，爱德华，马纳夫·拉杰 和 罗伯特·西曼斯。2021。《职业、行业和地理对人工智能的暴露：一个新数据集及其潜在用途：https://doi.org/10.1002/smj.3286》，《战略管理杂志》42(12): 2195-2217。","[4] 金贝尔，玛莎，莫莉·金德，乔舒亚·肯德尔，和马迪·李。《评估人工智能对劳动力市场的影响：当前状况》：https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-current-state-affairs。耶鲁预算实验室，2025年10月。钱达尔，巴拉特。《追踪人工智能曝光职业的就业变化》：https://dx.doi.org/10.2139/ssrn.5384519。SSRN，2025年6月。","[5] 克兰，莱兰，保罗·索托。“人工智能与程序员就业：汇总证据：https://doi.org/10.17016/FEDS.2026.018。”FEDS 工作论文。编号 2026-018。美联储理事会，2026年3月。","[6] 刘洁西卡，道格拉斯·韦伯。“人工智能采用与企业职位发布行为：https://www.federalreserve.gov/econres/notes/feds-notes/ai-adoption-and-firms-job-posting-behavior-20260327.html。”FEDS 笔记，美联储理事会，2026年3月27日。","[7] 加拉切尔，吉列尔莫。“人工智能与职位发布：从职位消失到创造：https://www.hiringlab.org/2026/07/08/ai-and-job-postings-from-destruction-to-creation/?” Indeed 雇佣实验室，2026年7月。","[8] 卡拉齐安，阿拉，丽莎·西蒙，瑞安·史蒂文斯。《重新审视人工智能对就业的影响：企业层面的人工智能支出与劳动力调整》：https://ramp.com/data/ai-jobs-impact。Ramp 经济实验室，2026年6月。","[9] 丽贝卡·贝兰和康妮·洛伊佐斯，《2026年每一次提及人工智能的主要科技裁员：https://techcrunch.com/2026/07/06/the-running-list-major-tech-layoffs-in-2026-where-employers-cited-ai/》。TechCrunch，2026年7月6日。","[10] 露西·霍奇曼，《萨姆·奥特曼认为科技公司在对裁员进行“人工智能洗白”》：https://www.sfchronicle.com/tech/article/layoffs-sam-altman-ai-washing-21647451.php，旧金山纪事报，2026年2月21日。杰克·安吉洛，《马克·安德森称人工智能裁员是骗局：公司人员超编 75%，人工智能是清理的“银弹借口”》：https://fortune.com/2026/03/31/marc-andreessen-ai-layoffs-silver-bullet-excuse-overhiring/，财富，2026年3月31日。萨蒂亚姆·米什拉，《2026年裁员激增，人工智能成为裁员的首要原因：https://www.outlookbusiness.com/corporate/ai-overtakes-all-other-reasons-for-us-job-cuts-as-layoffs-surge-in-2026》。Outlook Business，2026年6月7日。","[11] Roy Maurer. “人工智能裁员叙事：真正的变革，还是替罪羊？：https://www.shrm.org/topics-tools/news/technology/ai-layoffs-transformation-scapegoat” SHRM，2026年5月18日。","[12] ] 纽约联邦储备银行，《应届大学毕业生的劳动力市场》：https://www.newyorkfed.org/research/college-labor-market#--:explore:unemployment，2026年第一季度数据。","[13] Brynjolfsson, Erik, Bharat Chandar, 和 Ruyu Chen. “煤矿里的金丝雀？关于人工智能近期就业影响的六个事实： https://digitaleconomy.stanford.edu/publication/canaries-in-the-coal-mine-six-facts-about-the-recent-employment-effects-of-artificial-intelligence/” 斯坦福数字经济实验室，2025年11月。","[14] Hosseini Maasoum, Seyed Mahdi, 和 Guy Lichtinger. 《生成式人工智能作为资历偏向的技术变革：来自美国简历和职位发布数据的证据》：http://dx.doi.org/10.2139/ssrn.5425555。SSRN，2025年11月。 Teeselink, Bouke. 《生成式人工智能与劳动力市场结果：来自英国的证据》：https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5516798 SSRN，2025年12月。 Tucker, Lee. “你没被录用：人工智能与早期职业招聘在季度劳动力指标中的作用： https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-27.html，” CES工作论文 CES-26-27，2026年4月。","[15] Iscenko, Zanna, 和 Fabien Curto Millet. 《寻找阶梯：人工智能是否影响入门级职位？》：https://eig.org/wp-content/uploads/2026/01/TAWP-Iscenko-Millet.pdf 经济创新集团，2026年1月。 Frank, Morgan, Alireza Sabet, Lisa Simon, Sarah Bana, 和 Renzhe Yu. “在ChatGPT之前，人工智能暴露的职位已经恶化： https://doi.org/10.48550/arXiv.2601.02554” arXiv，2026年1月。","[16] Lambert, Peter 和 Yannick Schindler. “破碎的阶梯：人工智能、远程工作与早期职业招聘： https://dx.doi.org/10.2139/ssrn.6787638。” SSRN，2026年5月。","[17] Brynjolfsson, Erik, Bharat Chandar, 和 Ruyu Chen. “金丝雀、利率与时机：更多关于年轻工人就业变化近期驱动因素的信息： https://digitaleconomy.stanford.edu/news/canaries-interest-rates-and-timinga-more-on-recent-drivers-of-employment-changes-for-young-workers/。” 斯坦福数字经济实验室，2026年2月。","[18] Brynjolfsson, Erik, Danielle Li, 和 Lindsey Raymond. 2025. “工作中的生成式人工智能：https://doi.org/10.1093/qje/qjae044.” 《季度经济学杂志》. 140(2): 889-942.","[19] Peng, Sida, Eirini Kalliamvakou, Peter Cihon, 和 Mert Demirer. “人工智能对开发者生产力的影响：来自 GitHub Copilot 的证据：https://doi.org/10.48550/arXiv.2302.06590.” arXiv, 2023年2月.","[20] Cui, Zheyuan, Mert Demirer, Sonia Jaffe, Leon Musolff, Sida Peng, & Tobias Salz. “生成式人工智能对高技能工作的影响：来自三项实地实验的证据：https://dx.doi.org/10.2139/ssrn.4945566.” SSRN, 2025年8月.","[21] Noy, Shakked, 和 Whitney Zhang. 2023. “关于生成式人工智能对生产力影响的实验证据：https://www.science.org/doi/10.1126/science.adh2586.” 《科学》. 381:187-192.","[22] Choi, Jonathan, Amy Monahan, 和 Daniel Schwarcz. 2024. “人工智能时代的律师工作：https://dx.doi.org/10.2139/ssrn.4626276” 《明尼苏达法律评论》. 第147-218页.","[23] Lukac, Paul, William Turner, Sitaram Vangala, Aaron Chin, Joshua Khalili, Ya-Chen Shih, Catherine Sarkisian, Eric Cheng, John Mafi. “临床实践中的环境人工智能记录员：一项随机试验：https://ai.nejm.org/doi/full/10.1056/AIoa2501000.” 《NEJM AI》2025, 2(12).","[24] Dell’Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine Kellogg, Saran Rajendran, Lisa Krayer, Francois Candelon, 和 Karim Lakhani. “探索崎岖的技术前沿：人工智能对知识工作者生产力和质量影响的实地实验证据：https://www.hbs.edu/faculty/Pages/download.aspx?name=dell-acqua-et-al-2026-navigating-the-jagged-technological-frontier.pdf.” 哈佛商学院工作论文, 编号 24-013. 2023年9月.","[25] Otis, Nicholas, Rowan Clarke, Solene Delecourt, David Holtz, 和 Rembrand Koning. “生成式人工智能对创业绩效的不均衡影响：来自肯尼亚实地实验的证据：https://www.hbs.edu/ris/download.aspx?name=24-042.pdf.” 哈佛商学院工作论文, 编号 24-042. 2025年10月.","[26] Doshi, Anil, 和 Oliver Hauser. “生成式人工智能增强了个人创造力，但降低了新颖内容的集体多样性：https://www.science.org/doi/10.1126/sciadv.adn5290。”《科学进展》. 2024年7月12日. Moon, Kibum, Kostadin Kushlev, Andrew Bank, Ben Lira Luttges, Indre Viskontas, James Kaufman, Dan Johnson, Angela Duckworth, 和 Adam Green. “在人工智能时代，词语与想法之间的创造性联系正在减弱：https://doi.org/10.31234/osf.io/jsz58_v6” 可在 ResearchGate 获取. 2026年2月."],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"Aioga 编辑摘要：目前几乎没有证据表明AI正在导致大规模失业，AI高暴露职业的失业率上升幅度（0.77个百分点）甚至低于低暴露职业（0.85个百分点）。 Aioga 将其归入「论文研究」方向，重点关注它对真实使用和行业竞争的影响。","background":"背景分析：模型与研究类动态需要结合能力边界、开放方式、成本、可用性和真实任务表现判断，单项指标领先不等于已经形成稳定采用。","viewpoint":"Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","implications":"影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。","nextStep":"后续观察：继续观察官方文档、实际可用性、价格变化、开发者反馈和竞品回应。","evidenceRefs":["title","summary","articleBody"],"confidence":"medium","status":"published","aiGenerated":false,"autoApproved":true,"generatedBy":"rule-safe-fallback","generatedAt":"2026-07-28T06:29:10.488Z","sourceHash":"2180ff45fb6d1a43","validation":{"passed":true,"mode":"rule-safe-fallback","checks":["schema","length","source-attribution","no-html"]}},"tags":["论文研究","Hacker News 热门（buzzing.cc 中文翻译）"],"translations":{"zh-CN":{"title":"就业形势如何？区分人工智能的炒作与现实","summary":"目前几乎没有证据表明AI正在导致大规模失业，AI高暴露职业的失业率上升幅度（0.77个百分点）甚至低于低暴露职业（0.85个百分点）。AI对工人生产率的影响喜忧参半但总体积极，企业采用速度加快但分布不均。早期职业人群（如软件开发者）在AI暴露岗位上的就业自ChatGPT发布后出现明显下降，被研究者比作\"煤矿中的金丝雀\"。","category":"论文研究","source":"siepr.stanford.edu","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"就业形势如何？区分人工智能的炒作与现实 - Aioga AI资讯","description":"目前几乎没有证据表明AI正在导致大规模失业，AI高暴露职业的失业率上升幅度（0.77个百分点）甚至低于低暴露职业（0.85个百分点）。AI对工人生产率的影响喜忧参半但总体积极，企业采用速度加快但分布不均。早期职业人群（如软件开发者）在AI暴露岗位上的就业自ChatGPT发布后出现明显下降，被研究者比作\"煤矿中的金丝雀\"。","url":"https://www.aioga.com/news/cms1podi101muro05q5oy44gz/"},"en":{"title":"What is the employment situation like? Distinguishing between the hype and reality of artificial intelligence","summary":"Currently, there is almost no evidence that AI is causing mass unemployment. The increase in unemployment rates for occupations with high AI exposure (0.77 percentage points) is even lower than for low-exposure occupations (0.85 percentage points). The impact of AI on worker productivity is mixed but generally positive, with adoption by companies accelerating but unevenly distributed. Early professional groups (such as software developers) in AI-exposed positions have experienced a noticeable decline in employment since the release of ChatGPT, which researchers have likened to 'canaries in a coal mine.'","category":"Research","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"What is the employment situation like? Distinguishing between the hype and reality of artificial intelligence - Aioga AI News","description":"Currently, there is almost no evidence that AI is causing mass unemployment. The increase in unemployment rates for occupations with high AI exposure (0.77 percentage points) is ev...","url":"https://www.aioga.com/en/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:41:40.380Z"},"ja":{"title":"雇用の状況はどうですか？人工知能の誇張と現実を区別する","summary":"現在、AIが大規模な失業を引き起こしていることを示す証拠はほとんどなく、AI高暴露職業の失業率上昇幅（0.77ポイント）は、低暴露職業（0.85ポイント）よりもむしろ低いです。AIが労働者の生産性に与える影響は明暗が分かれますが、全体としてはポジティブであり、企業の導入速度は加速していますが、その分布は不均一です。初期の職業層（例えばソフトウェア開発者）は、AI暴露の職における雇用がChatGPT公開後に顕著に減少しており、研究者によって『炭鉱のカナリア』に例えられています。","category":"論文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"雇用の状況はどうですか？人工知能の誇張と現実を区別する - Aioga AIニュース","description":"現在、AIが大規模な失業を引き起こしていることを示す証拠はほとんどなく、AI高暴露職業の失業率上昇幅（0.77ポイント）は、低暴露職業（0.85ポイント）よりもむしろ低いです。AIが労働者の生産性に与える影響は明暗が分かれますが、全体としてはポジティブであり、企業の導入速度は加速していますが、その分布は不均一です。初期の職業層（例えばソフトウェア開発者）は、...","url":"https://www.aioga.com/ja/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:41:56.215Z"},"ko":{"title":"취업 상황은 어떠한가요? 인공지능의 과장과 현실을 구분하기","summary":"현재 거의 증거가 없으며 AI가 대규모 실업을 초래하고 있다는 것을 보여주지 않고 있습니다. AI 고노출 직업의 실업률 상승 폭(0.77 포인트)은 오히려 저노출 직업(0.85 포인트)보다 낮습니다. AI가 노동 생산성에 미치는 영향은 희비가 엇갈리지만 전반적으로 긍정적이며, 기업의 도입 속도는 빠르지만 분포가 고르지 않습니다. 초기 직업군(예: 소프트웨어 개발자)의 AI 노출 직무 고용은 ChatGPT 출시 이후 뚜렷하게 감소했으며, 연구자들은 이를 \"탄광 속 카나리아\"에 비유했습니다.","category":"연구","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"취업 상황은 어떠한가요? 인공지능의 과장과 현실을 구분하기 - Aioga AI 뉴스","description":"현재 거의 증거가 없으며 AI가 대규모 실업을 초래하고 있다는 것을 보여주지 않고 있습니다. AI 고노출 직업의 실업률 상승 폭(0.77 포인트)은 오히려 저노출 직업(0.85 포인트)보다 낮습니다. AI가 노동 생산성에 미치는 영향은 희비가 엇갈리지만 전반적으로 긍정적이며, 기업의 도입 속도는 빠르지만 분포가 고르지 않...","url":"https://www.aioga.com/ko/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:42:40.132Z"},"es":{"title":"¿Cómo es la situación del empleo? Diferenciar entre el bombo mediático de la inteligencia artificial y la realidad","summary":"Actualmente casi no hay evidencia de que la IA esté causando un desempleo masivo, y el aumento de la tasa de desempleo en ocupaciones con alta exposición a la IA (0,77 puntos porcentuales) incluso es inferior al de las ocupaciones con baja exposición (0,85 puntos porcentuales). El impacto de la IA en la productividad de los trabajadores es mixto pero generalmente positivo; la velocidad de adopción por parte de las empresas se está acelerando pero no es uniforme. Los profesionales en etapas tempranas de su carrera (como los desarrolladores de software) han visto una disminución notable en el empleo en puestos expuestos a la IA tras el lanzamiento de ChatGPT, siendo comparados por los investigadores con \"canarios en la mina de carbón\".","category":"Investigación","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"¿Cómo es la situación del empleo? Diferenciar entre el bombo mediático de la inteligencia artificial y la realidad - Aioga Noticias de IA","description":"Actualmente casi no hay evidencia de que la IA esté causando un desempleo masivo, y el aumento de la tasa de desempleo en ocupaciones con alta exposición a la IA (0,77 puntos porce...","url":"https://www.aioga.com/es/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:42:37.669Z"},"fr":{"title":"Quelle est la situation de l'emploi ? Distinguer le battage médiatique de l'intelligence artificielle de la réalité","summary":"Actuellement, il existe presque aucune preuve indiquant que l'IA entraîne un chômage massif. L'augmentation du taux de chômage dans les professions fortement exposées à l'IA (0,77 point de pourcentage) est même inférieure à celle des professions faiblement exposées (0,85 point de pourcentage). L'impact de l'IA sur la productivité des travailleurs est mitigé mais globalement positif, l'adoption par les entreprises s'accélère mais reste inégale. Les professionnels précoces (comme les développeurs de logiciels) ont connu une baisse significative de l'emploi dans les postes exposés à l'IA depuis la sortie de ChatGPT, ce que les chercheurs comparent à un « canari dans la mine de charbon ».","category":"Recherche","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Quelle est la situation de l'emploi ? Distinguer le battage médiatique de l'intelligence artificielle de la réalité - Aioga Actualités IA","description":"Actuellement, il existe presque aucune preuve indiquant que l'IA entraîne un chômage massif. L'augmentation du taux de chômage dans les professions fortement exposées à l'IA (0,77...","url":"https://www.aioga.com/fr/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:43:25.494Z"},"de":{"title":"Wie ist die Beschäftigungslage? Den Hype um künstliche Intelligenz von der Realität unterscheiden","summary":"Derzeit gibt es kaum Belege dafür, dass KI großflächige Arbeitslosigkeit verursacht. Der Anstieg der Arbeitslosenquote in Berufen mit hoher KI-Exposition (0,77 Prozentpunkte) liegt sogar unter dem von Berufen mit niedriger Exposition (0,85 Prozentpunkte). Die Auswirkungen von KI auf die Arbeitsproduktivität sind gemischt, aber insgesamt positiv; die Übernahmegeschwindigkeit in Unternehmen beschleunigt sich, ist jedoch ungleich verteilt. Frühe Berufsgruppen (wie Softwareentwickler) verzeichneten nach der Veröffentlichung von ChatGPT einen deutlichen Rückgang der Beschäftigung in KI-exponierten Positionen, was von Forschern mit der ‚Kanarienvögel in Kohlegruben‘ verglichen wurde.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Wie ist die Beschäftigungslage? Den Hype um künstliche Intelligenz von der Realität unterscheiden - Aioga KI-News","description":"Derzeit gibt es kaum Belege dafür, dass KI großflächige Arbeitslosigkeit verursacht. Der Anstieg der Arbeitslosenquote in Berufen mit hoher KI-Exposition (0,77 Prozentpunkte) liegt...","url":"https://www.aioga.com/de/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:43:21.997Z"},"pt-BR":{"title":"Como está a situação do emprego? Diferenciando a propaganda da inteligência artificial da realidade","summary":"Atualmente, quase não há evidências de que a IA esteja causando desemprego em larga escala. A taxa de aumento do desemprego em ocupações altamente expostas à IA (0,77 ponto percentual) é até menor do que em ocupações de baixa exposição (0,85 ponto percentual). O impacto da IA na produtividade dos trabalhadores é ambíguo, mas geralmente positivo; a adoção pelas empresas está acelerando, mas de forma desigual. Grupos ocupacionais iniciais (como desenvolvedores de software) em postos de trabalho expostos à IA tiveram uma queda significativa no emprego após o lançamento do ChatGPT, sendo comparados pelos pesquisadores a \"canários na mina de carvão\".","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Como está a situação do emprego? Diferenciando a propaganda da inteligência artificial da realidade - Aioga Notícias de IA","description":"Atualmente, quase não há evidências de que a IA esteja causando desemprego em larga escala. A taxa de aumento do desemprego em ocupações altamente expostas à IA (0,77 ponto percent...","url":"https://www.aioga.com/pt-BR/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:44:04.497Z"},"ru":{"title":"Какая ситуация с трудоустройством? Различие между шумихой вокруг искусственного интеллекта и реальностью","summary":"В настоящее время почти нет доказательств того, что ИИ вызывает массовую безработицу; рост уровня безработицы в профессиях с высокой степенью воздействия ИИ (0,77 процентного пункта) даже ниже, чем в профессиях с низкой степенью воздействия (0,85 процентного пункта). Влияние ИИ на производительность работников неоднозначно, но в целом положительно; скорость его внедрения в компаниях ускоряется, но распределение остаётся неравномерным. Ранние профессиональные группы (например, разработчики программного обеспечения) на рабочих местах с воздействием ИИ после выпуска ChatGPT столкнулись с заметным снижением занятости, что исследователи сравнивают с «канарейкой в шахте».","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Какая ситуация с трудоустройством? Различие между шумихой вокруг искусственного интеллекта и реальностью - Aioga Новости ИИ","description":"В настоящее время почти нет доказательств того, что ИИ вызывает массовую безработицу; рост уровня безработицы в профессиях с высокой степенью воздействия ИИ (0,77 процентного пункт...","url":"https://www.aioga.com/ru/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:44:12.551Z"},"ar":{"title":"ما هو وضع سوق العمل؟ التمييز بين الضجة حول الذكاء الاصطناعي والواقع","summary":"حتى الآن، لا توجد تقريبًا أدلة تشير إلى أن الذكاء الاصطناعي يسبب بطالة واسعة النطاق، حيث إن معدل بطالة المهن ذات التعرض العالي للذكاء الاصطناعي (0.77 نقطة مئوية) أقل حتى من المهن ذات التعرض المنخفض (0.85 نقطة مئوية). تأثير الذكاء الاصطناعي على إنتاجية العمال مختلط ولكنه إيجابي بشكل عام، وسرعة تبني الشركات تتسارع لكنها غير متساوية. المجموعات المهنية المبكرة (مثل مطوري البرمجيات) شهدت انخفاضًا واضحًا في التوظيف في الوظائف المعرضة للذكاء الاصطناعي بعد إصدار ChatGPT، وقد شبه الباحثون ذلك بـ \"الكناري في منجم الفحم\".","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"ما هو وضع سوق العمل؟ التمييز بين الضجة حول الذكاء الاصطناعي والواقع - Aioga أخبار الذكاء الاصطناعي","description":"حتى الآن، لا توجد تقريبًا أدلة تشير إلى أن الذكاء الاصطناعي يسبب بطالة واسعة النطاق، حيث إن معدل بطالة المهن ذات التعرض العالي للذكاء الاصطناعي (0.77 نقطة مئوية) أقل حتى من المهن ذ...","url":"https://www.aioga.com/ar/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:45:12.319Z"},"hi":{"title":"रोजगार की स्थिति कैसी है? कृत्रिम बुद्धिमत्ता के प्रचार और वास्तविकता में अंतर करें","summary":"वर्तमान में लगभग कोई साक्ष्य नहीं है कि एआई बड़े पैमाने पर बेरोजगारी पैदा कर रहा है, एआई उच्च एक्सपोज़र वाले पेशों में बेरोजगारी दर में वृद्धि (0.77 प्रतिशत अंक) यहां तक कि निम्न एक्सपोज़र वाले पेशों (0.85 प्रतिशत अंक) से भी कम है। एआई का कामगारों की उत्पादकता पर प्रभाव मिश्रित है लेकिन कुल मिलाकर सकारात्मक है, कंपनियों द्वारा अपनाने की गति तेज हुई है लेकिन समान रूप से वितरित नहीं है। प्रारंभिक करियर वाले लोग (जैसे सॉफ़्टवेयर डेवलपर्स) एआई एक्सपोज़र वाले पदों में रोजगार में ChatGPT के लॉन्च के बाद उल्लेखनीय गिरावट देखी गई है, शोधकर्ताओं ने इसे 'कोयले की खान में हिरन की तरह' बताया है।","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"रोजगार की स्थिति कैसी है? कृत्रिम बुद्धिमत्ता के प्रचार और वास्तविकता में अंतर करें - Aioga AI समाचार","description":"वर्तमान में लगभग कोई साक्ष्य नहीं है कि एआई बड़े पैमाने पर बेरोजगारी पैदा कर रहा है, एआई उच्च एक्सपोज़र वाले पेशों में बेरोजगारी दर में वृद्धि (0.77 प्रतिशत अंक) यहां तक कि निम्न ए...","url":"https://www.aioga.com/hi/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:45:01.115Z"},"it":{"title":"Qual è la situazione dell'occupazione? Distinguere tra l'hype dell'intelligenza artificiale e la realtà","summary":"Attualmente quasi non ci sono prove che dimostrino che l'IA stia causando disoccupazione su larga scala; l'aumento del tasso di disoccupazione nelle professioni ad alta esposizione all'IA (0,77 punti percentuali) è addirittura inferiore a quello delle professioni a bassa esposizione (0,85 punti percentuali). L'impatto dell'IA sulla produttività dei lavoratori è ambivalente ma complessivamente positivo, l'adozione aziendale è accelerata ma distribuita in modo non uniforme. I primi gruppi professionali (come gli sviluppatori software) hanno visto un calo significativo dell'occupazione in posti di lavoro esposti all'IA dopo il rilascio di ChatGPT, paragonati dai ricercatori ai \"canarini nelle miniere\".","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Qual è la situazione dell'occupazione? Distinguere tra l'hype dell'intelligenza artificiale e la realtà - Aioga Notizie IA","description":"Attualmente quasi non ci sono prove che dimostrino che l'IA stia causando disoccupazione su larga scala; l'aumento del tasso di disoccupazione nelle professioni ad alta esposizione...","url":"https://www.aioga.com/it/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:45:59.389Z"},"nl":{"title":"Hoe is de werkgelegenheidssituatie? Het onderscheid tussen de hype en de realiteit van kunstmatige intelligentie","summary":"Er is momenteel bijna geen bewijs dat AI grootschalige werkloosheid veroorzaakt. Het percentage werkloosheid bij beroepen met hoge AI-blootstelling is zelfs lager gestegen (0,77 procentpunt) dan bij beroepen met lage blootstelling (0,85 procentpunt). De impact van AI op de productiviteit van werknemers is gemengd maar over het algemeen positief. De snelheid van adoptie door bedrijven neemt toe, maar is ongelijk verdeeld. Vroege beroepsgroepen (zoals softwareontwikkelaars) zagen een duidelijke daling in werkgelegenheid op AI-blootgestelde posities na de release van ChatGPT, wat door onderzoekers wordt vergeleken met een 'kanarie in de kolenmijn'.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Hoe is de werkgelegenheidssituatie? Het onderscheid tussen de hype en de realiteit van kunstmatige intelligentie - Aioga AI-nieuws","description":"Er is momenteel bijna geen bewijs dat AI grootschalige werkloosheid veroorzaakt. Het percentage werkloosheid bij beroepen met hoge AI-blootstelling is zelfs lager gestegen (0,77 pr...","url":"https://www.aioga.com/nl/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:45:54.006Z"},"tr":{"title":"İstihdam durumu nasıl? Yapay zekâ hakkındaki abartılar ile gerçekler arasındaki farkı ayırmak","summary":"Şu anda AI'ın kitlesel işsizliğe yol açtığını gösteren neredeyse hiç kanıt yok; AI'ya yüksek maruz kalan mesleklerde işsizlik oranındaki artış (0,77 puan) düşük maruz kalan mesleklerdeki artışın (0,85 puan) bile altında. AI'nın işçi verimliliği üzerindeki etkisi hem olumlu hem olumsuz yönler taşıyor ama genel olarak pozitif, şirketlerin benimseme hızı artıyor ancak eşit dağılmıyor. Erken dönem meslek grupları (örneğin yazılım geliştiriciler), AI'ya maruz kalan pozisyonlarda ChatGPT'nin yayınlanmasından sonra belirgin bir düşüş yaşadı ve araştırmacılar tarafından 'madenlerdeki kanarya'ya benzetildi.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"İstihdam durumu nasıl? Yapay zekâ hakkındaki abartılar ile gerçekler arasındaki farkı ayırmak - Aioga AI Haberleri","description":"Şu anda AI'ın kitlesel işsizliğe yol açtığını gösteren neredeyse hiç kanıt yok; AI'ya yüksek maruz kalan mesleklerde işsizlik oranındaki artış (0,77 puan) düşük maruz kalan meslekl...","url":"https://www.aioga.com/tr/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:46:48.524Z"},"vi":{"title":"Tình hình việc làm như thế nào? Phân biệt giữa sự thổi phồng về trí tuệ nhân tạo và thực tế","summary":"Hiện tại hầu như không có bằng chứng cho thấy AI đang gây ra mất việc làm hàng loạt, tỷ lệ thất nghiệp của các nghề có mức độ tiếp xúc cao với AI tăng 0,77 điểm phần trăm còn thấp hơn so với các nghề có mức độ tiếp xúc thấp (0,85 điểm phần trăm). Tác động của AI đối với năng suất lao động vừa có mặt tích cực vừa có mặt tiêu cực nhưng nhìn chung là tích cực, tốc độ áp dụng của doanh nghiệp tăng nhanh nhưng phân bố không đồng đều. Nhóm nghề sớm tiếp cận AI (như các nhà phát triển phần mềm) tại các vị trí tiếp xúc với AI đã giảm rõ rệt kể từ khi ChatGPT ra mắt, được các nhà nghiên cứu ví như 'chim hoàng yến trong mỏ than'.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Tình hình việc làm như thế nào? Phân biệt giữa sự thổi phồng về trí tuệ nhân tạo và thực tế - Tin tức AI Aioga","description":"Hiện tại hầu như không có bằng chứng cho thấy AI đang gây ra mất việc làm hàng loạt, tỷ lệ thất nghiệp của các nghề có mức độ tiếp xúc cao với AI tăng 0,77 điểm phần trăm còn thấp...","url":"https://www.aioga.com/vi/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:46:52.890Z"},"id":{"title":"Bagaimana situasi pekerjaan? Membedakan hype kecerdasan buatan dari kenyataan","summary":"Saat ini hampir tidak ada bukti yang menunjukkan bahwa AI menyebabkan pengangguran massal, tingkat pengangguran pada pekerjaan dengan paparan AI tinggi (naik 0,77 poin persentase) bahkan lebih rendah dibandingkan dengan pekerjaan dengan paparan rendah (naik 0,85 poin persentase). Dampak AI terhadap produktivitas pekerja campur aduk namun secara keseluruhan positif, adopsi perusahaan lebih cepat tetapi tidak merata. Kelompok pekerjaan awal (seperti pengembang perangkat lunak) mengalami penurunan yang jelas dalam pekerjaan yang terpapar AI setelah rilis ChatGPT, yang oleh peneliti dibandingkan dengan \"burung kenari di tambang batu bara\".","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Bagaimana situasi pekerjaan? Membedakan hype kecerdasan buatan dari kenyataan - Berita AI Aioga","description":"Saat ini hampir tidak ada bukti yang menunjukkan bahwa AI menyebabkan pengangguran massal, tingkat pengangguran pada pekerjaan dengan paparan AI tinggi (naik 0,77 poin persentase)...","url":"https://www.aioga.com/id/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:47:39.693Z"},"th":{"title":"สถานการณ์การจ้างงานเป็นอย่างไร? แยกความแตกต่างระหว่างการโหมโฆษณาเกี่ยวกับปัญญาประดิษฐ์กับความเป็นจริง","summary":"ปัจจุบันแทบไม่มีหลักฐานที่บ่งชี้ว่า AI กำลังทำให้เกิดการว่างงานจำนวนมาก อัตราการว่างงานในอาชีพที่มีการเปิดรับ AI สูง (เพิ่มขึ้น 0.77 จุด) กลับต่ำกว่าอาชีพที่มีการเปิดรับต่ำ (เพิ่มขึ้น 0.85 จุด) ผลกระทบของ AI ต่อประสิทธิภาพการทำงานของคนงานมีทั้งดีและไม่ดีแต่โดยรวมเป็นบวก อัตราการนำไปใช้ของบริษัทเร่งสูงขึ้นแต่กระจายไม่ทั่วถึง กลุ่มอาชีพเริ่มต้น (เช่น นักพัฒนาซอฟต์แวร์) ในตำแหน่งงานที่มีการเปิดรับ AI หลังจากการเปิดตัว ChatGPT มีการจ้างงานลดลงอย่างชัดเจน นักวิจัยเปรียบเทียบกับ 'นกเค้าแมวในเหมืองถ่าน'","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"สถานการณ์การจ้างงานเป็นอย่างไร? แยกความแตกต่างระหว่างการโหมโฆษณาเกี่ยวกับปัญญาประดิษฐ์กับความเป็นจริง - ข่าว AI Aioga","description":"ปัจจุบันแทบไม่มีหลักฐานที่บ่งชี้ว่า AI กำลังทำให้เกิดการว่างงานจำนวนมาก อัตราการว่างงานในอาชีพที่มีการเปิดรับ AI สูง (เพิ่มขึ้น 0.77 จุด) กลับต่ำกว่าอาชีพที่มีการเปิดรับต่ำ (เพิ่มข...","url":"https://www.aioga.com/th/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:47:45.334Z"},"pl":{"title":"Jaka jest sytuacja na rynku pracy? Rozróżnianie między hype'em sztucznej inteligencji a rzeczywistością","summary":"Obecnie prawie nie ma dowodów na to, że AI powoduje masowe bezrobocie, a wzrost stopy bezrobocia w zawodach o wysokiej ekspozycji na AI (0,77 punktu procentowego) jest nawet niższy niż w zawodach o niskiej ekspozycji (0,85 punktu procentowego). Wpływ AI na produktywność pracowników jest mieszany, ale ogólnie pozytywny, wdrażanie w firmach przyspiesza, lecz jest nierównomiernie rozłożone. Wczesne grupy zawodowe (takie jak programiści) doświadczyły wyraźnego spadku zatrudnienia w stanowiskach narażonych na AI po wydaniu ChatGPT, co badacze porównali do 'kanarka w kopalni'.","category":"论文研究","source":"Hacker News 热门（buzzing.cc 中文翻译）","aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Jaka jest sytuacja na rynku pracy? Rozróżnianie między hype'em sztucznej inteligencji a rzeczywistością - Aioga Wiadomości AI","description":"Obecnie prawie nie ma dowodów na to, że AI powoduje masowe bezrobocie, a wzrost stopy bezrobocia w zawodach o wysokiej ekspozycji na AI (0,77 punktu procentowego) jest nawet niższy...","url":"https://www.aioga.com/pl/news/cms1podi101muro05q5oy44gz/","contentTranslated":true,"sourceHash":"6f886b8d904b6cf7","translatedAt":"2026-07-27T02:48:31.381Z"}}}}