{"id":96698,"date":"2026-10-24T09:01:00","date_gmt":"2026-10-24T13:01:00","guid":{"rendered":"https:\/\/overcentral.com\/en\/?p=96698"},"modified":"2026-09-26T11:18:28","modified_gmt":"2026-09-26T15:18:28","slug":"ai-future-work-growth-decline-96698","status":"publish","type":"post","link":"https:\/\/overcentral.com\/en\/ai-future-work-growth-decline-96698\/","title":{"rendered":"AI and the Future of Work: Growth vs. Decline"},"content":{"rendered":"<p>If you still think AI will eliminate more jobs than it creates, you are reading the wrong data. The <a href=\"https:\/\/www.bls.gov\/\" target=\"_blank\" rel=\"noopener noreferrer\" data-iacss-external=\"1\">Bureau of Labor Statistics<\/a> (BLS) projected growth for 831 occupations through 2035, then cross-referenced each against a five-source measure of AI exposure \u2014 including real-world usage data from <a href=\"https:\/\/copilot.microsoft.com\/\" target=\"_blank\" rel=\"noopener noreferrer\" data-iacss-external=\"1\">Microsoft Copilot<\/a> and cloud platforms. The result upends the popular narrative.<\/p>\n<p>Of the 206 occupations with the highest AI exposure, 141 \u2014 68% \u2014 are still forecast to grow. High exposure is not the same as high risk. It means the job is changing, not vanishing. The question for senior professionals is not whether AI will take your role, but whether you will adapt your role to take advantage of AI.<\/p>\n<p>Below is the data-driven ranking of the fastest-growing high-paying occupations, the ones quietly shrinking, and the single most useful framework for deciding what to delegate to machines.<\/p>\n<h2>The 10 Fastest-Growing High-Paying Jobs<\/h2>\n<p>The BLS ranked occupations by projected percentage growth from 2025 to 2035. The list below starts with the lowest median salary among the top 10 and moves to the highest. All pay above $100,000.<\/p>\n<h3>10. Management Analyst (Consultant)<\/h3>\n<ul>\n<li><strong>Median salary<\/strong>: $102,000<\/li>\n<li><strong>Projected growth<\/strong>: +109,000 jobs (roughly 9% over the decade)<\/li>\n<li><strong>AI exposure<\/strong>: Very high<\/li>\n<\/ul>\n<p>Consultants are the people companies hire to figure out how <a href=\"https:\/\/overcentral.com\/en\/best-places-to-work-awards-deadline-79738\/\" title=\"Best Places To Work Awards Extends Special Awards Deadline\" data-iacss-internal=\"1\">to work<\/a> better. AI can generate research, slides, and recommendations \u2014 the core deliverables of consulting. Yet the demand is rising because every organization is trying to restructure around AI, and most have no idea how. Satya Nadella\u2019s June 2025 comment put it bluntly: \u201cWhat about reorganizing jobs?\u201d Someone gets paid to do that reorganization. The BLS projects 94,000 openings per year.<\/p>\n<h3>9. Health Specialties Teacher (Postsecondary)<\/h3>\n<ul>\n<li><strong>Median salary<\/strong>: $104,000<\/li>\n<li><strong>Projected growth<\/strong>: +17.9%<\/li>\n<li><strong>AI exposure<\/strong>: Moderate (but clinical training requires human supervision)<\/li>\n<\/ul>\n<p>This is the sleeper pick. The healthcare sector will add roughly one-third of all new US jobs this decade. Those millions of new nurses, pharmacists, and physician assistants need to be taught by someone. You cannot legally scale clinical training with a chatbot; supervised human hours are required. The catch: you need a doctorate or professional degree. This is a decade-long play, not a six-month pivot.<\/p>\n<h3>8. Construction Manager<\/h3>\n<ul>\n<li><strong>Median salary<\/strong>: $108,000<\/li>\n<li><strong>Projected growth<\/strong>: +55,000 jobs; ~50,000 openings per year<\/li>\n<li><strong>AI exposure<\/strong>: Low (physical, on-site work)<\/li>\n<\/ul>\n<p>AI has a physical footprint. Data centers, power plants, chip factories \u2014 every major AI announcement eventually becomes a construction project with a manager in a hard hat. Jensen Huang told Fox Business in August 2025 that \u201chundreds of thousands of jobs are being created right now\u201d in AI infrastructure. AT&amp;T is spending $38 billion over five years on skilled tradespeople. If you were told your whole life that the safe path is a desk job, this decade may prove otherwise.<\/p>\n<h3>7. Data Scientist<\/h3>\n<ul>\n<li><strong>Median salary<\/strong>: $115,000<\/li>\n<li><strong>Projected growth<\/strong>: +34.6% (from 275,000 to 371,000 by 2035)<\/li>\n<li><strong>AI exposure<\/strong>: Very high<\/li>\n<\/ul>\n<p>This is the third-fastest-growing occupation in the US that pays above $100,000. Why? Because AI automated the middle \u2014 data cleaning, basic modeling, first-pass analysis \u2014 but not the ends. Deciding which question is worth asking, and whether the answer is reliable enough to bet the company on, remains human work. Andrew Ng explained the economics: \u201cThe 60% that the human does becomes even more valuable because it\u2019s an economic complement to the 30-40% that just got cheaper. People who use AI will replace people who don\u2019t.\u201d<\/p>\n<h3>6. Medical and Health Services Manager<\/h3>\n<ul>\n<li><strong>Median salary<\/strong>: $118,000<\/li>\n<li><strong>Projected growth<\/strong>: +24.2% (155,000 new jobs; 62,000 openings per year)<\/li>\n<li><strong>AI exposure<\/strong>: High (but requires a bachelor\u2019s, not a medical degree)<\/li>\n<\/ul>\n<p>Healthcare demand is exploding due to an aging population. At the same time, the healthcare system is the most regulated, fragmented, and administratively broken sector in the developed world \u2014 and it is being digitized now, painfully and expensively. The bottleneck is people who understand both the clinical side and the operational side. Bottlenecks are well paid.<\/p>\n<h3>5. Information Security Analyst<\/h3>\n<ul>\n<li><strong>Median salary<\/strong>: $125,000<\/li>\n<li><strong>Projected growth<\/strong>: +21% (14,000 openings per year)<\/li>\n<li><strong>AI exposure<\/strong>: High<\/li>\n<\/ul>\n<p>The standard explanation \u2014 more hackers, more cybersecurity jobs \u2014 is true but incomplete. AI made attacks cheap: convincing phishing in perfect English at scale, voice cloning, automated vulnerability scanning. And companies are stuffing AI into everything, creating entirely new categories of risk. This is the most accessible high-paying job on this list without a heavy academic path.<\/p>\n<h3>4. Nurse Practitioner<\/h3>\n<ul>\n<li><strong>Median salary<\/strong>: $132,000<\/li>\n<li><strong>Projected growth<\/strong>: +41% (the fastest-growing occupation in the US)<\/li>\n<li><strong>AI exposure<\/strong>: High<\/li>\n<\/ul>\n<p>The BLS classified this as high AI exposure, and it is still the number-one growth occupation in the country. That is the clearest proof that exposure and risk are different things. AI can draft notes, flag interactions, and summarize a chart. It cannot examine a patient, assume legal responsibility for a diagnosis, or sit with a frightened person for 20 minutes. Diagnosis is a task within the job, not the job itself.<\/p>\n<h3>3. Physician Assistant<\/h3>\n<ul>\n<li><strong>Median salary<\/strong>: $136,000<\/li>\n<li><strong>Projected growth<\/strong>: +20% (35,000 new jobs)<\/li>\n<li><strong>AI exposure<\/strong>: Low (bottom quartile of all 831 occupations)<\/li>\n<\/ul>\n<p>This is the rarest combination in the data: high salary, fast growth, and low AI exposure. The government\u2019s reading, based partly on what people actually ask Claude and Copilot, is that physician assistant tasks are among the least affected by current AI. Almost no other combination like this exists in the data.<\/p>\n<h3>2. Software Developer<\/h3>\n<ul>\n<li><strong>Median salary<\/strong>: $135,000<\/li>\n<li><strong>Projected growth<\/strong>: +10% (95,000 openings per year; 174,000 net new jobs)<\/li>\n<li><strong>AI exposure<\/strong>: Very high<\/li>\n<\/ul>\n<p>The internet has been writing obituaries for this job since 2023. Reality: total employment is projected to go from 1.7 million to 1.9 million by 2035. The picture behind that number is mixed. TechCrunch found that while Big Tech hiring has fallen ~25% since 2019, engineering hiring fell only 11%, and engineers went from 46% of new hires to 55%. Indeed\u2019s hiring lab found that US software job postings rose 15% after the launch of Claude Code, while overall postings fell 7% \u2014 but 71% of that gain came from senior roles. The work is growing, but the entry point is narrowing.<\/p>\n<h3>1. Computer and Information Systems Manager<\/h3>\n<ul>\n<li><strong>Median salary<\/strong>: $175,000<\/li>\n<li><strong>Projected growth<\/strong>: +15.8% (108,000 new jobs)<\/li>\n<li><strong>AI exposure<\/strong>: Very high<\/li>\n<\/ul>\n<p>This is the person who decides what the company builds, buys, and retires. Directors of IT, engineering managers, mid-company CTOs. A huge portion of the work is documents, planning, review, and communications. Still growing nearly 16% at the top of the pay scale. Why? Because the scarce resource in 2026 is not the ability to produce technical output \u2014 AI made that cheap. What is scarce is judgment under uncertainty and accountability for outcomes. Deciding what to build, being blamed when it fails, deciding what not to build \u2014 that is the job that pays.<\/p>\n<h2>The Five Fastest-Shrinking Occupations<\/h2>\n<p>All five are classified with very high AI exposure. Percentage declines look small, but the absolute numbers are large because the base is huge.<\/p>\n<h3>5. Customer Service Representative<\/h3>\n<ul>\n<li><strong>Decline<\/strong>: -5% (141,000 fewer jobs out of 2.6 million)<\/li>\n<li><strong>AI exposure<\/strong>: Very high<\/li>\n<\/ul>\n<p>This is where the AI story shows up most visibly in real data. Goldman Sachs research cited by CNBC found US call-center employment is 39% below trend. Klarna\u2019s CEO said their <a href=\"https:\/\/overcentral.com\/en\/meta-muse-ai-agent-80441\/\" title=\"Meta Launches Muse AI Agent, Needs User Trust\" data-iacss-internal=\"1\">AI agent<\/a> did the work of 850 people. But even shrinking, this occupation still has 289,000 openings per year \u2014 the most of any job today. Decline is not disappearance.<\/p>\n<h3>4. Accounting and Auditing Clerk<\/h3>\n<ul>\n<li><strong>Decline<\/strong>: -5% (85,000 fewer jobs out of 1.5 million)<\/li>\n<li><strong>AI exposure<\/strong>: Very high<\/li>\n<\/ul>\n<p>Percentages hide the absolute scale. This is one of the largest absolute declines in the country, happening one small business at a time.<\/p>\n<h3>3. Payroll and Timekeeping Clerk<\/h3>\n<ul>\n<li><strong>Decline<\/strong>: -15% (25,000 fewer jobs out of 159,000)<\/li>\n<li><strong>AI exposure<\/strong>: Very high<\/li>\n<\/ul>\n<p>Payroll is rule-based, high-volume, repetitive. Software handles it well. What <a href=\"https:\/\/overcentral.com\/en\/rascal-does-not-dream-trailer-release-80139\/\" title=\"Rascal Does Not Dream Drops Trailer for Final Film\" data-iacss-internal=\"1\">does not<\/a> compress is the judgment around exceptions, the person who knows why this quarter looks strange.<\/p>\n<h3>2. Data Entry Keyer<\/h3>\n<ul>\n<li><strong>Decline<\/strong>: -25%<\/li>\n<li><strong>AI exposure<\/strong>: Very high<\/li>\n<\/ul>\n<p>Median pay is $41,000. One-quarter of the occupation is projected to disappear.<\/p>\n<h3>1. Word Processor and Typist<\/h3>\n<ul>\n<li><strong>Decline<\/strong>: -34%<\/li>\n<li><strong>AI exposure<\/strong>: Very high<\/li>\n<\/ul>\n<p>The fastest-shrinking occupation in the US. People who type letters, reports, and other documents from drafts or recordings. AI and voice-to-text have made this role nearly obsolete.<\/p>\n<h2>The Counter-Signal: Where the Trend Does Not Apply<\/h2>\n<p>The data above suggests a clean split: high-exposure jobs either grow or shrink depending on whether they involve judgment. But there is a notable exception. Among the 206 high-exposure occupations, the one with the highest projected growth \u2014 nurse practitioner \u2014 also has the highest AI exposure. Meanwhile, some low-exposure jobs (like construction manager) are growing fast, but others (like word processor) are imploding.<\/p>\n<p>The real divide is not exposure level. It is the mix of tasks within the role. A nurse practitioner and a data entry clerk both have tasks AI can do. The difference is that the nurse practitioner\u2019s remaining human tasks \u2014 physical examination, legal responsibility, emotional presence \u2014 are irreplaceable. The clerk\u2019s remaining tasks are mostly what AI does better.<\/p>\n<h2>A Framework for Your Own Role<\/h2>\n<p>Economist Erik Brynjolfsson (Stanford) offered a three-part decomposition that senior professionals can apply to their own work this week:<\/p>\n<ol>\n<li><strong>Define<\/strong> the question or problem.<\/li>\n<li><strong>Execute<\/strong> the solution.<\/li>\n<li><strong>Evaluate<\/strong> the result.<\/li>\n<\/ol>\n<p>AI is getting very good at step two. Your value lies in steps one and three. Take your last two weeks and write down what you actually did. Sort each task into one of the three columns. Pick one repetitive task from the middle column and hand it to an AI agent. Then ask yourself: what responsibility can I take on with the time I just freed? That is the career strategy for the next decade.<\/p>\n<p>The occupations on the growth list share one thing: they require judgment under uncertainty, accountability for outcomes, or physical presence. The shrinking ones are those that can be reduced to a process. Your job title may stay the same, but the work behind it will not. The only safe bet is to move your daily effort from the middle column to the first and third.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you still think AI will eliminate more jobs than it creates, you are reading the wrong data. The Bureau of Labor Statistics (BLS) projected growth for 831 occupations through 2035, then cross-referenced each against a five-source measure of AI exposure \u2014 including real-world usage data from Microsoft Copilot and cloud platforms. The result upends [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":101126,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/cards.overcentral.com\/cards\/en\/96698.png","fifu_image_alt":"AI and the Future of Work: Growth vs. Decline","footnotes":""},"categories":[31],"tags":[],"class_list":["post-96698","post","type-post","status-publish","format-standard","has-post-thumbnail","category-technology"],"fifu_image_url":"https:\/\/cards.overcentral.com\/cards\/en\/96698.png","fifu_image_alt":"AI and the Future of Work: Growth vs. Decline","_links":{"self":[{"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/posts\/96698","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/comments?post=96698"}],"version-history":[{"count":1,"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/posts\/96698\/revisions"}],"predecessor-version":[{"id":101127,"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/posts\/96698\/revisions\/101127"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/media\/101126"}],"wp:attachment":[{"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/media?parent=96698"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/categories?post=96698"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/overcentral.com\/en\/wp-json\/wp\/v2\/tags?post=96698"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}