As fears of an AI-driven jobs apocalypse intensify across boardrooms, union halls, and college campuses, Bank of America\u2019s global research team is urging a reality check. In a\u00a0report published April 28, BofA economists argue that the \u201cArmageddon narrative\u201d around artificial intelligence \u201csits uneasily with both economic theory and the evidence so far\u201d \u2014 and they\u2019ve got 85 years of labor market data to back them up.<\/p>\n
The bank\u2019s central argument is simple: 60% of the jobs that exist in the United States today didn\u2019t exist in 1940. Data scientists, social media managers, and cloud developers \u201cbarely existed 20 years ago but are now mainstream jobs.\u201d Agriculture, which employed roughly 40% of Americans in the early 1900s, now accounts for just 1% of U.S. employment. <\/p>\n
In each case of transformation \u2014 the Industrial Revolution, electrification, computerization \u2014 the economy didn\u2019t just survive the disruption. It invented its way out of it.<\/p>\n
\u201cAdaptability is the new job security,\u201d the report concludes.<\/p>\n
One in four jobs at risk <\/h2>\n
The bank isn\u2019t sugarcoating AI\u2019s reach. Globally, roughly 840 million jobs, about one in four, are exposed to generative AI, with high-income economies facing the steepest exposure at 33% of all jobs. Younger workers, women, and the highly educated face the greatest disruption risk, largely because they\u2019re concentrated in the white-collar, language-intensive, and administrative roles that AI can most readily assist or automate.<\/p>\n
But BofA drew a sharp distinction between\u00a0exposure<\/em>\u00a0and\u00a0elimination<\/em>. According to International Labor Organization data cited in the report, 13% of global jobs sit in the \u201caugmentation\u201d category \u2014 meaning AI will enhance, not replace, those workers \u2014 versus just 2.3% with genuine automation potential. <\/p>\n \u201cGenAI will primarily augment rather than replace workers,\u201d the bank writes, with professional and financial services standing to benefit most and repetitive roles in customer service, information\/communications technology, and administration facing the highest substitution risk.<\/p>\n BofA leans heavily on a favorite economist\u2019s parable: the ATM. When automated teller machines proliferated in the 1970s and \u201980s, conventional wisdom held that bank tellers were finished. Instead, lower operating costs allowed banks to open more branches, and tellers were redeployed into sales and customer service. The result was\u00a0increased\u00a0total teller employment. <\/p>\n Similarly, word processors didn\u2019t eliminate clerical workers; they shifted them toward coordination and communication roles. Excel didn\u2019t gut accounting departments; it expanded them. E-commerce didn\u2019t kill retail employment either; the U.S. still has roughly 15 million\u201316 million retail workers today, about the same as in the 1990s.<\/p>\n But the ATM parable\u00a0cuts both ways. Economist and essayist David Oks argued in an influential, widely read Substack post that most of this ATM story is just half the tale. Since the early 2000s, when you could upload checks onto your iPhone and Venmo your friends for meals, \u201cbank teller employment has fallen off a cliff.\u201d <\/p>\n \u201cIt is paradigm replacement, not task automation, that actually displaces workers,\u201d Oks wrote. The worry, then, is not that AI will slot into existing workflows and do them a bit faster. It\u2019s that agentic AI \u2014 systems that can autonomously execute multi-step tasks, rewrite codebases, orchestrate entire workflows \u2014 may not automate the job. It may make the job irrelevant.<\/p>\n BofA acknowledged the risk, flagging agentic AI as a \u201cmore structurally disruptive force\u201d that shifts AI from a task-level assistant to, in the bank\u2019s own framing, \u201cAI as worker itself.\u201d<\/p>\n Then there\u2019s the Jevons paradox. Writing in the 1860s, economist William Stanley Jevons observed that making steam engines more fuel-efficient didn\u2019t reduce coal consumption \u2014 it caused coal consumption to explode, because cheaper energy unlocked entirely new industrial demand. <\/p>\n Apollo Global Management chief economist Torsten Slok\u00a0has been increasingly applying the same logic to AI, dubbing it the \u201cJevons employment effect\u201d: as AI makes professional work cheaper, the total market for that work tends to expand rather than contract, potentially growing headcount in fields from law to accounting to consulting.<\/p>\n The open question for AI is whether cheaper legal memos and financial models will unlock new, previously unmet demand or whether most of that was already being served with AI simply doing the same work with fewer people. Oks\u2019s iPhone counterpoint applies here too: Jevons worked for the ATM but hasn\u2019t worked for the bank teller.<\/p>\n BofA\u2019s research team isn\u2019t alone in reaching for history as a rebuttal to panic. Fundstrat\u2019s Tom Lee has made a\u00a0similar argument\u00a0using flash-frozen food.<\/p>\n In the 1920s, Clarence Birdseye\u2019s invention of commercial flash freezing reduced farm labor from 30%\u201340% of the U.S. workforce to just 2%\u20135%, yet the transition ultimately created enough new jobs that the economy came out ahead. <\/p>\n Bank of America CEO Brian Moynihan has been making a version of the same case in his own public appearances.\u00a0Speaking on LinkedIn\u2019s\u00a0This Is Working<\/em>\u00a0podcast\u00a0in February, he noted that in 1969, economists predicted computers would eliminate all management roles. <\/p>\n BofA today employs roughly 20,000 managers. AI discoveries are augmentations of human capabilities, Moynihan said. \u201cIt applies to our auditors, our lawyers, our investment bankers.\u201d<\/p>\n If BofA is relatively sanguine about aggregate job creation, other economists have been notably less relaxed about distribution. Early data from the Dallas Fed shows that AI-exposed industries are seeing wages rise for experienced workers even as entry-level hiring slumps, suggesting AI is simultaneously augmenting senior staff and squeezing out younger workers at the bottom of the ladder.<\/p>\n Nobel laureate economist Daron Acemoglu\u2019s work offers the starkest warning: unless AI generates new labor-intensive tasks at scale, its productivity gains will naturally flow to capital owners rather than workers, widening the gap between those who own the machines and those who once operated them. <\/p>\n That concern is compounded by a structural gap in the safety net. As Fortune<\/em>\u00a0reported in March, nearly 75% of workers displaced by AI won\u2019t collect unemployment benefits, leaving transition support dangerously thin.<\/p>\n BofA said AI will increase pressure on governments to provide wage insurance, enhanced unemployment benefits, reskilling incentives, and tax reform to ensure the gains from AI don\u2019t concentrate in too few hands. <\/p>\n \u201cPolicymakers will need to design transition frameworks that cushion short-term disruption,\u00a0while preventing labour-market scarring, especially for mid-career workers with skills at risk of obsolescence,\u201d it added.<\/p>\n That prescription is gaining unlikely allies in Silicon Valley. When venture capitalist Vinod Khosla\u00a0sat down with\u00a0Fortune<\/em>\u00a0editor-in-chief Alyson Shontell in March, he floated eliminating federal income taxes entirely for the roughly 100 million Americans earning less than $100,000, paid for by equalizing the tax rate on capital gains with ordinary income. His math: 40% of all capital gains taxes are paid by people earning more than $10 million a year, making the revenue neutral without raising the overall burden.<\/p>\n A month later, OpenAI\u00a0arrived at the same destination by a different route. In a 13-page policy paper titled\u00a0Industrial Policy for the Intelligence Age<\/em>, Sam Altman\u2019s company called for shifting the tax base away from payroll and labor income \u2014 the very revenue streams AI threatens to hollow out \u2014 and toward corporate income and capital gains, including what many have termed a \u201crobot tax\u201d on automated labor. <\/p>\n OpenAI warned that as AI automates more work, the wage and payroll tax revenue that funds Social Security, Medicaid, SNAP, and housing assistance could collapse, making capital-based taxation not just equitable, but fiscally necessary. Both Khosla and OpenAI agree that the American tax code was designed for an economy where human labor generated most of the value. That economy is rapidly vanishing.<\/p>\n BofA flagged one development that could scramble the historical analogy: the rise of what it calls the OPC, or \u201cOne-Person Company.\u201d Enabled by agentic AI systems that can autonomously manage workflows, schedule tasks, run scripts, and coordinate operations, 2026 may mark the year a single entrepreneur can perform functions that once required entire teams. <\/p>\n For now,\u00a0Anthropic\u2019s own research, published last month, showed the gap between what AI\u00a0can\u00a0do and what it\u2019s actually\u00a0doing remains wide but closing fast, particularly in management, legal, and financial roles. A Fortune 500 consultancy\u00a0recently estimated\u00a093% of jobs face some level of disruption, with a $4.5 trillion price tag attached.<\/p>\n Whether the jobs come back, and for whom, is ultimately a question BofA conceded it cannot fully answer. History says they will. The question is whether they\u2019ll arrive fast enough to matter, and whether agentic AI turns out to be an ATM or an iPhone.<\/p>\n<\/div>\n #BofA #throws #cold #water #apocalypse #panic #todays #jobs #didnt #exist<\/p>\n","protected":false},"excerpt":{"rendered":" The doomsday crowd may want to check its history books. As fears of an AI-driven jobs apocalypse intensify across boardrooms, union halls, and college campuses, Bank of America\u2019s global research… <\/p>\n","protected":false},"author":1,"featured_media":1562,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[2231,2762,2763,2765,2767,862,2768,430,107,887,2764,2766,1753],"class_list":["post-1561","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-finance-news","tag-apocalypse","tag-bank-of-america","tag-bofa","tag-cold","tag-didnt","tag-disruption","tag-exist","tag-jobs","tag-panic","tag-productivity","tag-throws","tag-todays","tag-water"],"_links":{"self":[{"href":"https:\/\/gw.adampg777.com\/index.php?rest_route=\/wp\/v2\/posts\/1561","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gw.adampg777.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gw.adampg777.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gw.adampg777.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gw.adampg777.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1561"}],"version-history":[{"count":0,"href":"https:\/\/gw.adampg777.com\/index.php?rest_route=\/wp\/v2\/posts\/1561\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gw.adampg777.com\/index.php?rest_route=\/wp\/v2\/media\/1562"}],"wp:attachment":[{"href":"https:\/\/gw.adampg777.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1561"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gw.adampg777.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1561"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gw.adampg777.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/fortune.com\/img-assets\/wp-content\/uploads\/2026\/05\/augment.png?format=webp&w=1440&q=100\"\/)
<\/div>\n<\/figure>\nThe ATM argument \u2014 and its limits<\/h2>\n
![\"\"](\"https:\/\/fortune.com\/img-assets\/wp-content\/uploads\/2026\/05\/image-1.png?format=webp&w=1440&q=100\"\/)
<\/div>\n<\/figure>\nThe Jevons paradox<\/h2>\n
Wall Street optimists in good company<\/h2>\n
The real risk: Who gets left behind<\/h2>\n
Rethinking the tax code<\/h2>\n
The 2026 wildcard: The one-person company<\/h2>\n