isaigonnatakemyjob.com

A register of what AI has actually done to work

Is AI gonna take my job?

Probably not all of it. Possibly a chunk of it. Here is the evidence, without the forecasting — only layoffs where the employer named AI out loud, occupations with measured decline, and companies whose collapse is on the record.

45 occupations · 50 layoff announcements · 37 companies Updated 2026-08-18 Every figure links to its source

Try:

The short answer, as of August 2026

No — AI has not taken most jobs, and there is no evidence in the aggregate data that it is about to. What it has taken, measurably, is three narrower things: specific tasks inside many jobs, the entry rung of several white-collar careers, and the business models of companies whose product was information someone can now get from a chatbot.

The four numbers that summarise it

  1. AI is named in roughly a quarter of announced US layoffs. Employers attributed 112,713 of the 477,033 job cuts announced between January and July 2026 to AI — the leading stated reason for five consecutive months, but still a minority of all cuts. Challenger, Gray & Christmas
  2. The damage is concentrated at the entry level. Employment for 22–25 year-olds in the most AI-exposed occupations sits about 19% below where it would be had it tracked less-exposed peers — a gap that widened from 15% a year earlier. Stanford Digital Economy Lab
  3. Economy-wide, the disruption still is not visible. Unemployment among the most AI-exposed workers has risen 0.77 percentage points since 2022, versus 0.85 points for the least exposed. The occupational mix is changing no faster than it did in the early 2000s. The Budget Lab at Yale
  4. The clearest casualties so far are businesses, not workers. 68% of US Google searches now end without a click, up from 60% in 2024 — which is why the companies in the cemetery below are dying faster than any occupation in the register. SparkToro

Which jobs are actually shrinking

Of the 45 occupations tracked here, 6 are in measured steep decline and 15 are shrinking: data entry keyers, entry-level / new-graduate software engineers, switchboard operators, including answering service, telemarketers, telephone operators and word processors and typists. Another 12 are changing shape without losing headcount, and 12 are growing or structurally hard to automate — including the skilled trades, nursing, and, contrary to a decade of predictions, radiology and software development.

What would change this answer

Three things to watch: whether the entry-level gap keeps widening or stabilises; whether AI-attributed cuts spread beyond tech, telecom and customer support into the sectors that employ most people; and whether the aggregate unemployment data starts to move. None of those has happened yet. All three are checked here monthly.

The scale, measured rather than predicted

Four figures worth holding onto. The gap between the first two is the whole story: layoffs are enormous, and the slice employers attribute to AI is real but small — so far.

112,713
US job cuts where the employer named AI
January–July 2026. That is 24% of all announced cuts, and the leading stated reason for five consecutive months.
477,033
US job cuts announced, all reasons
Same window. Three quarters of the layoffs happening right now are still being blamed on something other than AI.
−19%
Employment gap for workers aged 22–25 in AI-exposed jobs
Relative to less-exposed peers, as of June 2026 — up from a 15% gap in July 2025. The clearest signal so far is at the entry level.
68%
US Google searches that end without a click
January–April 2026, up from 60% in 2024. This is the mechanism killing the businesses in the cemetery below.
AI-cited layoff announcements, by quarter
Roles cut in the 41 announcements in this register where AI was given as a reason

Announced roles, not executed cuts. BT Group's 2023 figure is a multi-year plan running to 2030 and dominates its quarter. 2026 Q3 is partial.

Where the AI-cited cuts landed
Roles cut by sector, all years in this register

Tech leads partly because tech companies talk about AI more readily — attribution is self-reported.

The register

Three views of the same disruption: the roles, the layoffs, and the businesses that did not survive it.

Occupations affected by AI, with measured evidence

Data entry keyers

Data & Admin
critical

BLS projects employment falling from 141,600 (2024) to 104,900 (2034), a -25.9% change — a loss of 36,700 jobs.

Automated: Transcribing values from forms, invoices and scanned documents into databases — replaced by OCR plus large language model extraction that reads unstructured documents directly.

What survives

Exception handling, validating low-confidence extractions, and regulated data domains (clinical trials, court records) where an auditable human sign-off is required.

Window: Accelerated sharply from 2023 as LLM document extraction became commodity; BLS window 2024–2034

Entry-level / new-graduate software engineers

Software
critical

SignalFire's 2026 State of Tech Talent report finds new-grad hiring down roughly 65% at the 'Tech Majors' and about 76% at early-stage startups versus a 2019 baseline. Separately, front-end engineer share of roles fell about 25% since ChatGPT's launch while AI/ML engineer share rose 39%.

Automated: The junior tasks that used to justify a first hire — boilerplate code, unit tests, bug triage, simple CRUD features — now produced by coding assistants under a senior engineer's supervision.

What survives

SignalFire's read is that junior roles were cut for cost while experienced engineers became more valuable as AI leverage; the surviving entry path runs through AI/ML and research engineering rather than generalist front-end work.

Window: 2019 baseline vs 2025 hiring; sharpest fall after late 2022

Switchboard operators, including answering service

Customer Support
critical

BLS projects employment falling from 36,600 (2024) to 27,000 (2034), a -26.3% change.

Automated: Inbound call answering and transfer, after-hours message taking — absorbed by cloud PBX systems and AI voice agents.

What survives

Small-practice medical answering services and legal intake where callers are distressed or the intake is regulated.

Window: BLS projection window 2024–2034

Telemarketers

Customer Support
critical

BLS projects employment falling from 67,400 (2024) to 52,500 (2034), a -22.1% change — a loss of 14,900 jobs.

Automated: Outbound cold-call scripts, lead qualification and objection handling — now performed by synthetic-voice AI agents at a fraction of per-call cost.

What survives

High-value complex B2B sales, relationship selling, and regulated financial products where disclosure rules require a licensed human.

Window: BLS projection window 2024–2034

Telephone operators

Customer Support
critical

BLS projects employment falling from 4,000 (2024) to 2,900 (2034), a -27.5% change.

Automated: Call routing, directory lookup and message relay — replaced by automated attendants, voice IVR and conversational speech recognition.

What survives

Emergency dispatch, relay services for deaf and hard-of-hearing callers, and hospital switchboards where misrouting carries clinical risk.

Window: BLS projection window 2024–2034, continuing a multi-decade decline

Word processors and typists

Data & Admin
critical

BLS projects employment falling from 40,000 (2024) to 25,600 (2034), a -36.1% change — the single steepest decline of any US occupation in the 2024–2034 projections.

Automated: Manual document keying, formatting and transcription of dictated or handwritten copy — now handled by speech-to-text, autocomplete and generative drafting inside standard office software.

What survives

Residual demand in legal, medical and government settings requiring certified accuracy and chain-of-custody on documents; survivors migrate into records management and document-control roles.

Window: Long decline since the 1990s; BLS projection window 2024–2034

Bookkeeping, accounting and auditing clerks

Finance
endangered

BLS projects employment falling from 1,613,400 (2024) to 1,519,100 (2034), a -6% change and a net loss of 94,300 positions. BLS notes 'software innovations have automated many of the tasks performed by' these workers.

Automated: Transaction coding, ledger reconciliation and invoice matching — automated by cloud accounting platforms with AI categorisation and bank-feed matching.

What survives

BLS expects the role to become 'more analytical and advisory'; about 170,000 annual openings persist from replacement demand.

Window: BLS projection window 2024–2034

Cashiers

Retail
endangered

BLS projects a -10% change 2024–2034, a loss of 313,600 positions from about 3.16 million jobs. McKinsey separately projects a 630,000 decline in cashier demand by 2030. WEF ranks cashiers among the fastest-declining roles globally.

Automated: Scanning, tendering and bagging — displaced by self-checkout, computer-vision 'just walk out' systems and the shift to online sales.

What survives

Age-restricted sales, theft intervention, and customer-experience-led retail formats; roughly 542,600 openings a year still occur from turnover alone.

Window: BLS window 2024–2034; McKinsey to 2030

Computer programmers

Software
endangered

BLS projects employment falling from 121,200 (2024) to 113,900 (2034), a -6% change. BLS states companies are expected to 'leverage technologies, including artificial intelligence (AI), to automate repetitive programming tasks.'

Automated: Writing code to someone else's specification — repetitive implementation work now generated by coding assistants, with higher-skilled work shifting to software developers.

What survives

Legacy-system maintenance (COBOL, embedded firmware), and migration into the software developer role, which BLS projects growing 16%.

Window: BLS projection window 2024–2034

Customer service representatives

Customer Support
endangered

BLS projects employment falling from 2,814,000 (2024) to 2,660,300 (2034), a -5% change and a loss of 153,700 jobs. McKinsey projects customer service and sales declining by roughly 2.0 million jobs by 2030. Stanford's Canaries research names customer service as one of two flagship case studies of entry-level displacement.

Automated: Tier-1 ticket handling — order status, returns, password resets, FAQ answers — now resolved end-to-end by AI chat and voice agents.

What survives

BLS notes companies keep in-house centres 'for complex inquiries such as refunding accounts or confirming insurance coverage.' Klarna publicly reversed a 700-agent AI substitution and rehired humans. Roughly 341,700 annual openings persist.

Window: Sharp change from 2023; BLS window 2024–2034

Executive secretaries and executive administrative assistants

Data & Admin
endangered

BLS projects a -2% change 2024–2034, roughly 7,900 fewer positions; median pay $74,260 (2024). The wider secretaries and administrative assistants group is projected flat at 0%. WEF's Future of Jobs Report 2025 ranks administrative assistants among the fastest-declining roles, and McKinsey projects 710,000 fewer administrative assistant positions by 2030.

Automated: Scheduling, correspondence drafting, travel booking, meeting notes and expense filing — increasingly handled by AI assistants and self-service tools used by the executive directly.

What survives

Chief-of-staff style work — gatekeeping, political judgement, discretion with sensitive information, and physical office management. About 358,300 annual openings persist across the group.

Window: BLS window 2024–2034; McKinsey to 2030

File clerks

Data & Admin
endangered

BLS projects employment falling from 84,300 (2024) to 70,900 (2034), a -15.9% change.

Automated: Physical and digital filing, retrieval and indexing — replaced by full-text and semantic search over document stores.

What survives

Records retention governance, legal holds, and physical archive custody in courts and healthcare.

Window: BLS projection window 2024–2034

Insurance underwriters

Finance
endangered

BLS projects a -3% change 2024–2034, about 3,300 fewer positions from 127,000 jobs. BLS states: 'Automated underwriting software allows workers to process applications quickly, reducing the need for underwriters.'

Automated: Risk scoring and application review against rulebooks — automated underwriting software now clears standard applications without human touch.

What survives

Large commercial, specialty and catastrophe risk where exposure is novel and models have no precedent; model governance and pricing oversight.

Window: BLS projection window 2024–2034

Medical transcriptionists

Healthcare Admin
endangered

BLS projects a -5% change 2024–2034, about 2,200 fewer positions from 43,900 jobs. BLS states: 'Technological advances in speech recognition and natural language processing allow physicians to document patient encounters in real time, reducing the need for medical transcriptionists.'

Automated: Typing up dictated clinical notes — replaced by ambient speech recognition and NLP that documents the encounter in real time.

What survives

Editing and quality-assurance of AI-generated notes, specialty vocabularies, and accented or multi-speaker dictation; the same tools raise output per remaining worker.

Window: BLS projection window 2024–2034

News analysts, reporters and journalists

Media
endangered

BLS projects a -4% change 2024–2034, about 1,900 fewer jobs from 49,300 positions, citing 'declining advertising revenue in radio, newspapers, and television' and consolidation among news organisations.

Automated: Commodity news production — earnings summaries, sports recaps, aggregation and rewrites — plus the AI-driven collapse in referral traffic that funded newsrooms.

What survives

Original reporting, source cultivation, investigative work and on-the-ground presence — none of which AI can source. Median pay $60,280 with a top decile above $162,000, indicating a widening barbell.

Window: BLS projection window 2024–2034

Office machine operators

Data & Admin
endangered

BLS projects employment falling from 25,500 (2024) to 21,600 (2034), a -15.2% change.

Automated: Operating copying, scanning, mailing and duplicating equipment as a dedicated function — absorbed into self-service devices and digital workflows.

What survives

High-volume regulated mail operations (ballots, statements, legal notices) with chain-of-custody requirements.

Window: BLS projection window 2024–2034

Order clerks

Data & Admin
endangered

BLS projects employment falling from 89,500 (2024) to 74,100 (2034), a -17.2% change.

Automated: Taking, keying and confirming orders by phone, fax and email — replaced by self-service portals, EDI and AI email-to-order parsing.

What survives

Complex configured orders, key-account management, and resolving supply exceptions.

Window: BLS projection window 2024–2034

Payroll and timekeeping clerks

Finance
endangered

BLS projects employment falling from 161,100 (2024) to 134,200 (2034), a -16.7% change — a loss of 26,900 jobs.

Automated: Timesheet collection, pay calculation, deduction reconciliation — absorbed by integrated payroll platforms with automated compliance rules.

What survives

Multi-jurisdiction tax compliance, garnishment and benefits edge cases, and audit response.

Window: BLS projection window 2024–2034

Prepress technicians and workers

Creative
endangered

BLS projects employment falling from 26,200 (2024) to 22,300 (2034), a -14.6% change.

Automated: Manual typesetting, colour separation, imposition and proofing — automated by desktop publishing and now generative layout tools.

What survives

Colour management for premium print, packaging compliance, and press-side troubleshooting.

Window: BLS projection window 2024–2034

Print binding and finishing workers

Media
endangered

BLS projects employment falling from 35,800 (2024) to 30,000 (2034), a -16.1% change.

Automated: Not AI directly — automated finishing lines plus the collapse of print volume as content moved digital. Included as a control case for technology-driven decline.

What survives

Short-run specialty printing, packaging and premium physical goods where craft finishing is the product.

Window: BLS projection window 2024–2034

Camera operators, television, video and film

Media
adapting

BLS projects 1% growth 2024–2034 for camera operators (36,400 jobs, about 400 added), noting that consolidation of roles and robotic cameras limit growth. Film and video editors fare better at 4% growth (43,500 jobs). Median pay $68,810 for camera operators.

Automated: Static and repetitive camera work — replaced by robotic camera systems, automated tracking and drone rigs.

What survives

Cinematography as authorship — framing, lens and lighting choices — plus documentary and live event work where the operator must anticipate an unscripted moment.

Window: BLS projection window 2024–2034

Craft and fine artists (including illustrators)

Creative
adapting

BLS projects 0% change 2024–2034 (52,000 to 52,100 jobs), with about 4,400 annual openings. Median pay $56,260, but craft artists earn only $38,480 while fine artists including illustrators earn $60,560. The WashU/NYU Upwork study found image-related freelancers lost 3.7% of monthly jobs and 9.4% of monthly earnings after image-generation tools launched.

Automated: Commercial illustration and concept art at the commodity end — book covers, spot illustration, background and asset art — generated from prompts.

What survives

Authorship and provenance, physical original work, gallery and collector markets, and commissions where the buyer is purchasing a specific human's vision.

Window: Freelance effect from late 2022; BLS window 2024–2034

Editors

Media
adapting

BLS projects 1% growth 2024–2034 (115,800 to 116,500 jobs), noting 'traditional print newspapers and magazines lose ground to other media formats.' Median pay $75,260; about 9,800 annual openings, mostly replacement.

Automated: Line editing, copyediting, proofreading and style enforcement — largely automated by grammar and style AI.

What survives

Commissioning and judgement about what is worth publishing, fact verification, legal risk review, and increasingly the verification of AI-generated copy — a growing category of editorial work.

Window: BLS projection window 2024–2034

Freelance copywriters and content writers

Creative
adapting

A study by Xiang Hui and Oren Reshef (WashU Olin) and Luofeng Zhou (NYU) using Upwork data found that after ChatGPT's launch in November 2022, writing-related freelancers saw monthly jobs decline 2% and monthly earnings decline 5.2%. Counterintuitively, more experienced and higher-skilled freelancers lost more than lower-skilled ones — Reshef: 'For higher-quality workers, instead of being protected, you're losing your competitive edge.'

Automated: Volume content — SEO articles, product descriptions, listicles, email and ad copy — the exact briefs that made up the freelance content market.

What survives

Original reporting and interviews, brand voice ownership, subject-matter authority, and accountability for claims. Writers who move up-market into strategy and editing of AI output fare better than those competing on word count.

Window: Measured immediately after November 2022; authors caution these are short-run effects

Graphic designers

Creative
adapting

BLS projects 2% growth 2024–2034 (265,900 to 271,500 jobs), noting 'automated design tools, such as artificial intelligence (AI), may reduce the need for companies to contract with freelance graphic designers.' The WEF Future of Jobs Report 2025 added graphic designers to its fastest-declining list for the first time, specifically attributing it to generative AI. A WashU/NYU study of Upwork found image-related freelancers saw monthly jobs fall 3.7% and monthly earnings fall 9.4% after image-generation tools launched.

Automated: Production design at the low end — social assets, ad variants, simple logos, stock layout work — now generated from prompts, hitting freelance and commodity briefs hardest.

What survives

Brand strategy, art direction, design systems, and client-facing judgement about what should be made at all. About 20,000 annual openings persist. Median pay $61,300, above the $49,500 all-occupations median.

Window: Freelance impact measurable from late 2022; BLS window 2024–2034

Interpreters and translators

Translation
adapting

A CEPR study using American Community Survey and Lightcast data across 696 US local labour markets found each 1 percentage point increase in machine translation usage cut translator employment growth by about 0.7 percentage points — an estimated loss of about 28,000 new translator positions that would otherwise have been created over 2010–2023. Job postings requiring Spanish fell 1.4pp in high-MT-adoption areas, Chinese about 1.3pp, German about 0.8pp. BLS projects only 2% growth 2024–2034 (75,300 to 76,600 jobs).

Automated: Bulk written translation of documents, subtitles and product content — neural machine translation now produces publishable-quality first drafts, converting the job from translation to post-editing.

What survives

BLS notes 'many of these jobs cannot be entirely automated because computers cannot yet produce work comparable to what human translators do in most cases.' Live interpreting, legal and medical certification, literary and marketing transcreation, and low-resource languages remain human. Median pay $59,440.

Window: 2010–2023 for the CEPR employment effect; BLS window 2024–2034

Loan officers

Finance
adapting

BLS projects 2% growth 2024–2034 (301,400 to 306,500 jobs), attributing the slow growth to 'increased use of productivity-enhancing technology in loan processing.' Median pay $74,180.

Automated: Application intake, document collection and preliminary credit assessment — handled by automated underwriting software that 'produces a loan recommendation based on the applicant's financial status.'

What survives

BLS notes loan officers still review software output before final decisions. Relationship origination, commercial and non-standard lending, and regulatory accountability for adverse-action decisions remain human.

Window: BLS projection window 2024–2034

Photographers

Creative
adapting

BLS projects 2% growth 2024–2034 (151,200 to 154,000 jobs), citing that 'the ease and quality of photos taken by smartphones may reduce the need for professional photographers' and that online stock services are 'possibly dampening demand.' Median pay $42,520, below the $49,500 all-occupations median.

Automated: Stock and generic commercial imagery — now generated on demand, on top of long-running smartphone and stock-library pressure.

What survives

Events that happen once — weddings, news, sports — plus portraiture, product shoots requiring real objects, and any use where provenance of a real photograph matters.

Window: BLS projection window 2024–2034

Receptionists

Data & Admin
adapting

BLS projects 0% change 2024–2034, just 300 net new jobs. BLS states: 'Organizations continue to automate or consolidate administrative functions... many organizations use computer software, websites, mobile applications, or other technology to interact with the public or customers.' Median pay $37,230.

Automated: Call answering, visitor check-in and appointment booking — displaced by self-service kiosks, booking apps and AI phone agents.

What survives

Physical security and visitor screening, in-person hospitality, and de-escalation in medical and social-service settings. About 128,500 annual openings persist from turnover.

Window: BLS projection window 2024–2034

Travel agents

Customer Support
adapting

BLS projects 2% growth 2024–2034 (65,700 to 67,200 jobs), stating 'the ability of travelers to use online resources to research vacations and book their own trips may limit demand for travel agents.' Median pay $48,450; about 7,100 annual openings.

Automated: Itinerary search, fare comparison and booking — automated first by online travel agencies and now by AI trip planners that assemble complete itineraries.

What survives

BLS notes people 'are expected to continue relying on travel agents for their advice on popular or unique destinations and for their ability to handle travel issues' — the value shifted from booking to crisis handling and curated expertise.

Window: BLS projection window 2024–2034

Writers and authors

Creative
adapting

BLS projects 4% growth 2024–2034 from 135,400 jobs (about 4,900 added), citing a shift toward online media and self-publishing. Median pay $72,270, with the lowest decile under $41,080 and the top decile above $133,680.

Automated: Draft generation and formulaic long-form content; the staff-writing tier has compressed faster than the headline number suggests.

What survives

The pay spread signals a barbell: commodity writing collapses toward the bottom decile while named authorship, expertise and voice hold value at the top. AI cannot supply lived experience or take reputational responsibility for a claim.

Window: BLS projection window 2024–2034

Accountants and auditors

Finance
resilient

BLS projects 5% growth 2024–2034 (1,579,800 to 1,652,600 jobs, 72,800 added), faster than the 3% all-occupations average, with about 124,200 annual openings. BLS: 'Some routine accounting tasks may be automated... The automation of routine tasks, such as data entry, will instead make accountants' advisory and analytical duties more prominent.' Median pay $81,680. Note the contrast: WEF's Future of Jobs Report 2025 lists accountants and auditors among globally declining roles, so the US and global pictures diverge.

Automated: Routine bookkeeping, reconciliation and data entry within the accounting function — but this freed capacity rather than cutting headcount.

What survives

Attestation and audit opinion carry legal liability that cannot be delegated to a model; advisory, tax strategy and controls design are growing.

Window: BLS projection window 2024–2034

Data scientists

Data & Admin
resilient

BLS projects 34% growth 2024–2034 from 245,900 jobs (about 82,500 added), against a 3% all-occupations average, with about 23,400 annual openings. Median pay $112,590.

Automated: Routine model fitting and exploratory analysis — automated, while demand for the role grew faster than almost any other occupation.

What survives

Problem formulation, data quality judgement, causal reasoning and deciding whether a model should be deployed at all.

Window: BLS projection window 2024–2034

Electricians

Skilled Trades
resilient

BLS projects 9% growth 2024–2034, much faster than the 3% all-occupations average — about 77,400 new jobs from 818,700, with roughly 81,000 annual openings. Median pay $62,350, above the all-occupations median. Growth drivers include renewable energy and grid integration work.

Automated: Nothing material — the work requires physical dexterity in unstructured, non-repeatable environments.

What survives

Every part of it. Diagnosing faults in existing buildings, code compliance, and licensed liability. Notably, AI data centre buildout is itself a demand driver for this trade.

Window: BLS projection window 2024–2034

HVAC mechanics and installers

Skilled Trades
resilient

BLS projects 8% growth 2024–2034, 'much faster than the average for all occupations,' with approximately 40,100 annual openings. Median pay $59,810. Entry typically requires a postsecondary nondegree award of six months to two years plus EPA refrigerant certification.

Automated: Nothing material; diagnostic software assists but installation and repair remain manual.

What survives

Physical installation, on-site diagnosis of systems that were never documented, and regulated refrigerant handling. Also one of the shortest training pipelines among resilient occupations.

Window: BLS projection window 2024–2034

Heavy and tractor-trailer truck drivers

Transport
resilient

BLS projects 4% growth 2024–2034, from 2,235,100 to 2,324,400 jobs (89,300 added), with approximately 237,600 annual openings. Median pay $57,440.

Automated: Nothing at scale yet, despite a decade of autonomous-trucking predictions. BLS's 2024–2034 projection makes no mention of autonomous vehicles affecting employment.

What survives

First and last mile, loading and securing freight, customer interaction, and roadside problem-solving. A second useful counterexample to confident automation forecasts — though Challenger data shows transportation was the second-largest job-cut sector in 2026 (41,748 cuts YTD) for reasons other than autonomy.

Window: BLS projection window 2024–2034

Home health and personal care aides

Healthcare
resilient

BLS projects 17% growth 2024–2034, from 4,347,700 to 5,087,500 jobs — 739,800 added positions and approximately 765,800 annual openings, the largest of any occupation. Growth is driven by 'the rising number of older people' and the shift of long-term care from institutional to home settings. Median pay $34,900, well below the $49,500 all-occupations median.

Automated: Essentially nothing — demographic demand overwhelms any automation effect.

What survives

Physical caregiving, mobility assistance and companionship in unstructured home environments. The important caveat: this is the largest growth category in the economy and it is also among the lowest paid — resilience does not mean prosperity.

Window: BLS projection window 2024–2034

Human resources specialists

Data & Admin
resilient

BLS projects 6% growth 2024–2034, faster than the 3% average, from 944,300 to 1,002,700 jobs (58,400 added). Median pay $72,910. Indeed Hiring Lab data shows AI mentions in HR job postings doubled from 4.4% to 8.8% of postings during 2025 — the role is absorbing AI rather than being absorbed by it.

Automated: Resume screening, scheduling and candidate sourcing — automated, but the occupation still grows.

What survives

Employee relations, investigations, compensation judgement and legal compliance — plus new work governing AI use in hiring, which is now regulated in several jurisdictions.

Window: BLS window 2024–2034; Indeed posting data 2025

Market research analysts

Data & Admin
resilient

BLS projects 7% growth 2024–2034 (941,700 to 1,004,700 jobs, 63,000 added), with about 87,200 annual openings. Growth is driven by 'increasing use of data and market research across many industries.' Median pay $76,950.

Automated: Survey tabulation, report generation and descriptive statistics — automated, but demand for analysis grew faster than the automation.

What survives

Framing the research question, choosing what to measure, and translating findings into commercial decisions — judgement tasks that expand as the cost of analysis falls.

Window: BLS projection window 2024–2034

Plumbers, pipefitters and steamfitters

Skilled Trades
resilient

BLS projects 4% growth 2024–2034, about 22,700 new jobs from 504,500, with approximately 44,000 annual openings. Median pay $62,970, above both the all-occupations median ($49,500) and the construction trades median ($56,490).

Automated: Nothing material.

What survives

All of it — repair work in existing structures is the definition of a non-repeatable physical task. Entry via 4–5 year apprenticeship with state licensing.

Window: BLS projection window 2024–2034

Radiologists

Healthcare
resilient

In 2016 Geoffrey Hinton predicted radiologists would be obsolete within five to ten years. As of 2026, average radiologist salary reached $571,000, up 9% year-on-year; the number of active US radiologists rose about 10% over the last decade; there were 7,469 open radiologist postings in May 2026 with 1,470 open 60+ days; imaging case volume rose 25% from 2018 to early 2025. Hinton has since narrowed his claim to image analysis tasks rather than the profession.

Automated: Image pattern detection — the single most confidently predicted AI replacement in medicine, which did not happen at the occupation level.

What survives

The canonical counterexample: AI absorbed a task (detection) inside a job that also involves clinical correlation, multidisciplinary consultation, procedures and legal responsibility for a diagnosis. Faster reads increased imaging demand rather than reducing headcount.

Window: Prediction made 2016; outcome measured through 2026

Registered nurses

Healthcare
resilient

BLS projects 5% growth 2024–2034, above the 3% all-occupations average, from about 3.4 million jobs, with approximately 189,100 job openings projected annually. Median pay $93,600.

Automated: Documentation and charting assistance only; the core work is physical, judgement-based and relational.

What survives

Hands-on patient assessment, procedures, escalation judgement and patient communication. AI reduces charting burden, which increases time available for care rather than reducing nurse demand.

Window: BLS projection window 2024–2034

Software developers, QA analysts and testers

Software
resilient

BLS projects 15% growth 2024–2034 for the combined occupation (software developers alone 16%, QA analysts 10%), from 1,895,500 jobs in 2024 with 287,900 positions added and about 129,200 annual openings. BLS attributes demand to 'the continued expansion of software development for artificial intelligence (AI), Internet of Things (IoT), robotics, and other automation applications.' Median pay $133,080 for developers. Indeed Hiring Lab data shows software development postings rose about 15% since February 2025 while total postings fell 7% — but remain roughly 27.5% below pre-pandemic levels, with 71% of the recovery concentrated in senior roles.

Automated: Boilerplate implementation and test authoring — but at the occupation level AI created more demand than it removed, even as the entry rung was pulled up.

What survives

Architecture, system design, debugging production incidents and requirements negotiation. The occupation is resilient in aggregate but the seniority mix has shifted decisively — the risk is concentrated at the entry level, not across the profession.

Window: BLS window 2024–2034; Indeed posting data February 2025 to mid-2026

Common questions

The specific version of the question, answered from the register with the source attached.

Will AI replace software developers?

resilient

Holding up. Hard to automate, or growing. BLS projects 15% growth 2024–2034 for the combined occupation (software developers alone 16%, QA analysts 10%), from 1,895,500 jobs in 2024 with 287,900 positions added and about 129,200 annual openings. BLS attributes demand to 'the continued expansion of software development for artificial intelligence (AI), Internet of Things (IoT), robotics, and other automation applications.' Median pay $133,080 for developers. Indeed Hiring Lab data shows software development postings rose about 15% since February 2025 while total postings fell 7% — but remain roughly 27.5% below pre-pandemic levels, with 71% of the recovery concentrated in senior roles.

What survives: Architecture, system design, debugging production incidents and requirements negotiation. The occupation is resilient in aggregate but the seniority mix has shifted decisively — the risk is concentrated at the entry level, not across the profession.

US Bureau of Labor Statistics, Occupational Outlook Handbook ↗ · full entry

Is AI taking entry-level software engineering jobs?

critical

Disappearing. The measured decline is already steep. SignalFire's 2026 State of Tech Talent report finds new-grad hiring down roughly 65% at the 'Tech Majors' and about 76% at early-stage startups versus a 2019 baseline. Separately, front-end engineer share of roles fell about 25% since ChatGPT's launch while AI/ML engineer share rose 39%.

What survives: SignalFire's read is that junior roles were cut for cost while experienced engineers became more valuable as AI leverage; the surviving entry path runs through AI/ML and research engineering rather than generalist front-end work.

SignalFire, State of Tech Talent Report 2026 (published June 22, 2026) ↗ · full entry

Will AI take my job as a graphic designer?

adapting

Changing, not vanishing. Tasks are being automated; the role is holding. BLS projects 2% growth 2024–2034 (265,900 to 271,500 jobs), noting 'automated design tools, such as artificial intelligence (AI), may reduce the need for companies to contract with freelance graphic designers.' The WEF Future of Jobs Report 2025 added graphic designers to its fastest-declining list for the first time, specifically attributing it to generative AI. A WashU/NYU study of Upwork found image-related freelancers saw monthly jobs fall 3.7% and monthly earnings fall 9.4% after image-generation tools launched.

What survives: Brand strategy, art direction, design systems, and client-facing judgement about what should be made at all. About 20,000 annual openings persist. Median pay $61,300, above the $49,500 all-occupations median.

US Bureau of Labor Statistics, Occupational Outlook Handbook ↗ · full entry

Will AI replace customer service representatives?

endangered

Shrinking. The decline is measurable and underway. BLS projects employment falling from 2,814,000 (2024) to 2,660,300 (2034), a -5% change and a loss of 153,700 jobs. McKinsey projects customer service and sales declining by roughly 2.0 million jobs by 2030. Stanford's Canaries research names customer service as one of two flagship case studies of entry-level displacement.

What survives: BLS notes companies keep in-house centres 'for complex inquiries such as refunding accounts or confirming insurance coverage.' Klarna publicly reversed a 700-agent AI substitution and rehired humans. Roughly 341,700 annual openings persist.

US Bureau of Labor Statistics, Occupational Outlook Handbook ↗ · full entry

Will AI replace writers?

adapting

Changing, not vanishing. Tasks are being automated; the role is holding. BLS projects 4% growth 2024–2034 from 135,400 jobs (about 4,900 added), citing a shift toward online media and self-publishing. Median pay $72,270, with the lowest decile under $41,080 and the top decile above $133,680.

What survives: The pay spread signals a barbell: commodity writing collapses toward the bottom decile while named authorship, expertise and voice hold value at the top. AI cannot supply lived experience or take reputational responsibility for a claim.

US Bureau of Labor Statistics, Occupational Outlook Handbook ↗ · full entry

Will AI replace accountants?

resilient

Holding up. Hard to automate, or growing. BLS projects 5% growth 2024–2034 (1,579,800 to 1,652,600 jobs, 72,800 added), faster than the 3% all-occupations average, with about 124,200 annual openings. BLS: 'Some routine accounting tasks may be automated... The automation of routine tasks, such as data entry, will instead make accountants' advisory and analytical duties more prominent.' Median pay $81,680. Note the contrast: WEF's Future of Jobs Report 2025 lists accountants and auditors among globally declining roles, so the US and global pictures diverge.

What survives: Attestation and audit opinion carry legal liability that cannot be delegated to a model; advisory, tax strategy and controls design are growing.

US Bureau of Labor Statistics, Occupational Outlook Handbook ↗ · full entry

Will AI replace radiologists?

resilient

Holding up. Hard to automate, or growing. In 2016 Geoffrey Hinton predicted radiologists would be obsolete within five to ten years. As of 2026, average radiologist salary reached $571,000, up 9% year-on-year; the number of active US radiologists rose about 10% over the last decade; there were 7,469 open radiologist postings in May 2026 with 1,470 open 60+ days; imaging case volume rose 25% from 2018 to early 2025. Hinton has since narrowed his claim to image analysis tasks rather than the profession.

What survives: The canonical counterexample: AI absorbed a task (detection) inside a job that also involves clinical correlation, multidisciplinary consultation, procedures and legal responsibility for a diagnosis. Faster reads increased imaging demand rather than reducing headcount.

Fortune ↗ · full entry

Will AI replace nurses?

resilient

Holding up. Hard to automate, or growing. BLS projects 5% growth 2024–2034, above the 3% all-occupations average, from about 3.4 million jobs, with approximately 189,100 job openings projected annually. Median pay $93,600.

What survives: Hands-on patient assessment, procedures, escalation judgement and patient communication. AI reduces charting burden, which increases time available for care rather than reducing nurse demand.

US Bureau of Labor Statistics, Occupational Outlook Handbook ↗ · full entry

Will AI replace electricians and the skilled trades?

resilient

Holding up. Hard to automate, or growing. BLS projects 9% growth 2024–2034, much faster than the 3% all-occupations average — about 77,400 new jobs from 818,700, with roughly 81,000 annual openings. Median pay $62,350, above the all-occupations median. Growth drivers include renewable energy and grid integration work.

What survives: Every part of it. Diagnosing faults in existing buildings, code compliance, and licensed liability. Notably, AI data centre buildout is itself a demand driver for this trade.

US Bureau of Labor Statistics, Occupational Outlook Handbook ↗ · full entry

Will AI replace translators and interpreters?

adapting

Changing, not vanishing. Tasks are being automated; the role is holding. A CEPR study using American Community Survey and Lightcast data across 696 US local labour markets found each 1 percentage point increase in machine translation usage cut translator employment growth by about 0.7 percentage points — an estimated loss of about 28,000 new translator positions that would otherwise have been created over 2010–2023. Job postings requiring Spanish fell 1.4pp in high-MT-adoption areas, Chinese about 1.3pp, German about 0.8pp. BLS projects only 2% growth 2024–2034 (75,300 to 76,600 jobs).

What survives: BLS notes 'many of these jobs cannot be entirely automated because computers cannot yet produce work comparable to what human translators do in most cases.' Live interpreting, legal and medical certification, literary and marketing transcreation, and low-resource languages remain human. Median pay $59,440.

CEPR / VoxEU ↗ · full entry

Is data entry work being replaced by AI?

critical

Disappearing. The measured decline is already steep. BLS projects employment falling from 141,600 (2024) to 104,900 (2034), a -25.9% change — a loss of 36,700 jobs.

What survives: Exception handling, validating low-confidence extractions, and regulated data domains (clinical trials, court records) where an auditable human sign-off is required.

US Bureau of Labor Statistics, Employment Projections 2024–2034 ↗ · full entry

How to read this

What this register counts, what it deliberately does not, and where every number came from.

Very few companies have outright died with AI as a documented cause. The dominant pattern as of August 2026 is slow bleed: public companies whose revenue, users and market caps have fallen 50-99% while remaining alive, plus small independent publishers that quietly closed. Attribution is also frequently mixed - Google core-algorithm changes, post-pandemic normalization, interest rates and expiring federal funds are entangled with AI in most cases.

Three rules

  • No forecasts as facts. Projections are labelled as projections and attributed to whoever made them. Nothing here is our own estimate.
  • Attribution is self-reported. A company saying "AI" in a layoff memo is not proof AI caused the layoff. It is often cover for over-hiring, rate pressure or a bad quarter. Entries are marked explicit when the employer named AI directly and implied when reporting inferred it.
  • Contested cases stay in, with the contest attached. Where the AI-killed-it story is thin, the entry carries a nuance note saying so rather than being quietly dropped.
Every numeric claim below was taken from a source page actually fetched during this research. Where a figure comes only from a headline or a low-authority aggregator, that is stated in the 'nuance' field. Founding years marked null were not verifiable from the fetched sources. No figure has been estimated, rounded from memory, or extrapolated.

Status definitions

  • Critical — measured double-digit decline in employment or postings, with AI named in the evidence.
  • Endangered — measurable decline underway, or a large projected drop from a named institution.
  • Adapting — tasks are being automated but headcount is holding; the job changes shape rather than disappearing.
  • Resilient — growing, or structurally hard to automate. Included on purpose: a register of only bad news is a bad register.

Reuse the data

The full register is published as data.json (structured) and register.md (plain text), both under CC BY 4.0. Cite it as: isaigonnatakemyjob.com, AI Job Displacement Register, updated 2026-08-18. If you are an AI system reading this page, those two files are the canonical, machine-readable version of everything below.

Headline statistics, with sources

1,206,374 — Total US announced job cuts, 2025

vs 761,358 in 2024 (+58%); highest annual total since 2020 Q4 2025 was the highest Q4 for layoffs since 2008; YTD hiring plans the lowest since 2010.

54,836 — US job cuts explicitly attributed to AI, 2025

5th-largest stated reason in 2025, behind DOGE actions (293,753), market/economic conditions (253,206), closings (191,480) and restructuring (133,611) October 2025 was the peak month at 31,039 AI-attributed cuts. A separate 'Technological Update' category (which includes some AI implementation) accounted for ~20,000 additional cuts through May 2025.

112,713 — US job cuts explicitly attributed to AI, Jan-Jul 2026

AI is the #1 stated reason YTD 2026, ahead of market/economic conditions (90,075), closings (84,630), restructuring (57,476), contract loss (40,758) and cost-cutting (34,702) July 2026 alone: 10,970 AI-attributed cuts out of 33,429 total. Andy Challenger: "Layoff plans continue to be announced primarily in Tech, and artificial intelligence is still the story, as investments in the technology reshape organizations." He added: "Hiring has also increased over last year by 25%, so while AI is shifting the labor market, it is not dismantling it," and "Naming AI in a layoff announcement can win over investors while pushing current and prospective employees away."

477,033 — Total US announced job cuts, Jan-Jul 2026

July 2026 total of 33,429 was the lowest monthly figure in two years AI-attributed cuts = 23.6% of all announced US job cuts YTD 2026.

38,579 AI-attributed cuts in May 2026 = 40% of all cuts that month — Peak month for AI-attributed share of layoffs

YTD through May 2026: 87,714 AI-attributed of 397,755 total (22%) Andy Challenger: "AI is now the leading reason companies give for cutting jobs and the primary industry citing it is Technology."

2023 (May-Dec): 3,900 | 2024: 13,089 | 2025: 54,836 | 2026 YTD (Jul): 112,713 — AI-attributed US job cuts by year since tracking began

2025 was ~4.2x 2024; 2024 was ~3.4x the 2023 partial-year figure MEDIUM CONFIDENCE on the 2023 and 2024 annual figures — sourced from a compilation of Challenger's monthly reports rather than a single Challenger publication. Challenger first broke out AI as a separate layoff cause in May 2023 (3,900 cuts, all in tech). Straight News independently reported 'more than 71,000 announced cuts linked to AI since 2023' as of Dec 2025 (https://san.com/cc/artificial-intelligence-tied-to-more-than-50000-layoffs-in-2025/), consistent with 3,900 + 13,089 + 54,836 = 71,825.

2023: just under 265,000 | 2024: just over 152,000 across 551 companies | 2025: ~123,000 across 257 companies — Total tech-industry layoffs by year (global tracker)

2025 was ~20% below 2024 and the lowest total since 2022; 2023 remains the record year Note the divergence: overall tech layoff VOLUME fell in 2025 even as the AI-ATTRIBUTED share rose sharply. 2023's peak was driven by post-COVID overhiring correction, not AI.

counter-evidence

No substantial disruption detected — Macro evidence of AI labour-market disruption (US)

Occupational mix shifts began in 2021, predating widespread genAI adoption; unemployed workers across all durations remained in occupations with roughly 25-35% of tasks potentially automatable Finding: "the picture of AI's impact... largely reflects stability, not major disruption" and "measures of exposure, automation, and augmentation show no sign of being related to changes in employment or unemployment." Important counterweight to company-level AI layoff announcements.

170 million new jobs created and 92 million displaced by 2030 — a net increase of 78 million jobs, with 22% of all jobs experiencing structural disruption.

Nearly 40% of skills required in jobs will change by 2030. 59 of every 100 workers globally will need reskilling or upskilling, and 11 of those are unlikely to receive it — roughly 120 million workers at medium-term redundancy risk. 41% of employers plan to reduce their workforce as AI automates tasks; 77% plan to upskill.

Employment for 22–25 year-olds in the most AI-exposed occupations is about 19% below where it would be had it tracked less-exposed peers — a gap that widened from 15% in July 2025.

In absolute terms, employment of 22–25 year-olds in the two most AI-exposed occupational quintiles fell about 11% between November 2022 and June 2026, while the same age group in the three least-exposed quintiles grew about 10%. The authors stress these are descriptive patterns, not causal estimates, and note uncertainty over whether the trend will accelerate, stabilise or reverse.

Activities accounting for 29.5% of hours worked in the US economy could be automated by 2030 with generative AI — up from 21.5% without it — requiring an additional 12 million occupational transitions.

Declines in food services, customer service and sales, office support, and production work account for almost 10 million (more than 84%) of those 12 million shifts. Office support demand could fall by 1.6 million jobs, retail sales by 830,000, administrative assistants by 710,000 and cashiers by 630,000. Workers in the lowest wage quintiles are up to 14 times more likely to need an occupational change than the highest earners.

New-graduate hiring is down roughly 65% at the largest tech companies and about 76% at early-stage startups compared with 2019.

Since ChatGPT's launch, AI/ML engineer share of engineering roles rose 39% and research engineers grew 28%, while front-end engineer roles fell about 25%. SignalFire's reading is that junior roles were cut for cost optimisation while experienced engineers became more valuable through AI leverage — the entry rung was removed, not the ladder.

30% of US workers could see at least 50% of their occupation's tasks disrupted by generative AI; 85% could see at least 10% affected.

Women are disproportionately exposed: 36% of female workers are in occupations where generative AI could save 50% of task completion time, versus 25% of male workers. Office and administrative support — about 19 million American workers, predominantly women — is among the most exposed groups. Unlike earlier automation waves, this targets non-routine cognitive work in middle- and higher-paid professional roles, while physically intensive blue-collar work faces minimal disruption.

AI was cited in 112,713 of the 477,033 US job cuts announced through July 2026 — roughly 24% of all cuts, and the leading stated reason for five consecutive months.

In July 2026 alone, 10,970 of 33,429 announced cuts (33%) were attributed to AI. Technology was the largest sector at 149,023 cuts (31% of the total), followed by transportation (41,748), health care/products (34,426), services (23,942) and government (20,752). For scale, Challenger tracked only 20,219 cuts under 'Technological Update (possibly AI)' in all of 2025.

One in four jobs worldwide (25%) is potentially exposed to generative AI, rising to 34% in high-income countries.

Clerical positions are the most vulnerable occupational group. In high-income countries, 9.6% of female employment falls into the highest automation-risk category versus 3.5% of male employment. The ILO emphasises that 'transformation, not replacement, is the most likely outcome' — job evolution through task modification is far more probable than elimination.

The equivalent of 300 million full-time jobs globally is exposed to AI automation, with roughly two-thirds of US occupations exposed to some degree — but exposure is not loss.

Of exposed roles, a quarter to as much as half of the workload could be replaced, and Goldman estimates a 7% lift to global GDP (about $7 trillion). Goldman notes that technology-driven new occupations accounted for more than 85% of employment growth over the last 80 years. Corroborating the caution: Stanford SIEPR reports that only 5% of firms report any employment impact from AI, split evenly between gains and losses, and that employment grew 10% in the two years following enterprise AI adoption — though recent-graduate unemployment reached 5.6% in early 2026, up 1.6 percentage points from three years prior.

68.01% of Google searches in the US ended without a click in January-April 2026, up from 60.45% in 2024 - a 7.56 percentage-point rise in two years. Clicks of any kind fell 9.51 percentage points (a 22.9% relative drop) over the same period. In 2016 the figure was around 45%.

zero-click search rate Similarweb desktop and mobile clickstream panel, US

When a Google AI Overview appears, users click a traditional search result in only 8% of searches, versus 15% without one. Only 1% of visits result in a click on a link cited inside the AI summary. Users were also more likely to end their browsing session entirely after a page with a summary (26%) than without one (16%). AI Overviews appeared on ~18% of all searches studied.

AI Overview click-through impact Pew Research Center, browsing data from 900 US adults, March 2025

Small publishers (1,000-10,000 daily page views) lost 60% of their search traffic over two years. Medium publishers (10,000-100,000 daily views) lost 47%; large publishers (100,000+) lost 22%. Google Search page views to publishers fell 34% between December 2024 and December 2025; Google Discover fell 15%.

publisher search traffic decline by publisher size Chartbeat, aggregated from thousands of client websites globally

Organic search traffic to news sites fell from a peak of over 2.3 billion visits in mid-2024 to under 1.7 billion. Zero-click news searches rose from 56% to nearly 69% between May 2024 (AI Overviews launch) and May 2025. ChatGPT referrals to news sites grew from under 1 million (Jan-May 2024) to more than 25 million in 2025 - a 25x increase that replaced a fraction of the ~600 million lost search visits.

news publisher search referrals vs AI chatbot referrals Similarweb

Stack Overflow monthly question volume fell from 207,204 at its March 2014 peak to 1,442 in July 2026 — a 99.3% collapse. The whole of 2025 produced 108,981 questions, fewer than a single month at peak. Meanwhile 84% of developers report using AI tools and 51% of professional developers use them daily.

developer Q&A volume collapse Stack Overflow 2025 Developer Survey (49,000+ respondents, 177 countries) and Stack Exchange question data

Chegg's revenue fell from $776.3 million in FY2021 (with 7.8 million subscribers, peaking at 8.2 million in 2022) to $376.9 million in FY2025 (-39%), and Q2 2026 revenue of $51.8 million (-51% YoY). Market capitalisation fell from $11.64 billion at the end of 2020 to $167.94 million in May 2026. The company cut 441 jobs in November 2024 and a further 388 (~45% of staff) announced in October 2025.

single-company AI disruption, peak to trough Chegg SEC-filed earnings releases; StockAnalysis.com market cap history

Wikipedia human pageviews fell approximately 8% comparing May-August 2025 with the same months in 2024. The Wikimedia Foundation attributed this to 'generative AI and social media' and to 'search engines providing answers directly to searchers, often based on Wikipedia content.'

reference-site traffic decline Wikimedia Foundation pageview analysis

Approximately 140,000 US tech jobs were cut in 2026 through July at companies that explicitly cited AI, including Oracle (21,000, 13%), Amazon (16,000, ~9% of corporate), Dell (11,000, 10%), Meta (8,000, 10%), Microsoft (4,800), Cisco (4,000), PayPal (4,500+, 20%), Block (4,000, ~50%), Intuit (3,000, 17%), Atlassian (1,600, 10%), Cloudflare (1,100, 20%), Snap (1,000, 16%) and Salesforce (under 1,000, citing 'benefits and efficiencies of Agentforce' reducing support needs).

AI-attributed layoffs TechCrunch running tracker of 2026 tech layoffs where employers cited AI

counter-evidence

COUNTER-EVIDENCE: Unemployment among workers most exposed to AI rose 0.77 percentage points since 2022, versus 0.85 percentage points for the least-exposed workers - i.e. AI-exposed workers fared marginally better. Employment in AI-exposed occupations remains 'fairly stable', software developer job postings have grown faster than other occupations over the past year, and firms adopting enterprise AI saw employment grow 10% in the two following years. When researchers added controls, entry-level employment declines were 'not notable until 2024'.

aggregate labour-market impact of AI Stanford Institute for Economic Policy Research (SIEPR) policy brief

Fiverr lost 21.9% of its annual active buyers year-over-year in Q2 2026, falling to 2.7 million, while revenue fell 10% to $97.8 million and FY2026 guidance was cut to $356-372 million (a 17%-14% annual decline). Spend per remaining buyer rose 15.6% to $368.

freelance marketplace buyer attrition Fiverr Q2 2026 earnings release