Which Jobs AI Is Actually Automating Right Now
In the first six months of 2025, 77,999 tech jobs were directly attributed to AI -- not theoretically exposed, not at risk in a decade, but cut and cited publicly as AI-driven (Challenger, Gray & Christmas job cuts report). Salesforce eliminated 4,000 customer support roles. IBM restructured its entire HR back office. Duolingo replaced its contract translators with generative models. UPS announced 30,000 cuts on top of the 48,000 it eliminated the year prior, pointing to automated mega-hubs where robots outnumber employees 15 to 1.
These are not projections. They are earnings calls, SEC filings, and CEO interviews. The question is no longer whether AI will automate jobs. It is which ones, how fast, and what remains after the automation takes hold.
The jobs already disappearing
The clearest signal comes from Anthropic's own research, published in March 2026. Their study introduced "observed exposure" -- a measure of which tasks large language models are actually performing, not which ones they theoretically could. Computer programmers show 75% task coverage, followed by customer service representatives, data entry keyers, and medical record specialists.
But the most revealing metric is the gap between theory and practice. Computer and math occupations have a theoretical AI coverage of 94.3%. Their observed coverage is 35.8%. Automation is real but arriving unevenly -- concentrated in specific task categories rather than eliminating entire roles overnight.
Customer service: the most visible displacement
Salesforce CEO Marc Benioff said it plainly in September 2025: the company reduced its support workforce from 9,000 to roughly 5,000 because "I need less heads." The company's Agentforce system handled over a million consumer conversations and cut support costs by 17%.
But the Salesforce story is incomplete without Klarna's. The Swedish fintech initially celebrated when its AI assistant handled two-thirds of customer service chats -- 2.3 million conversations -- in its first month, projecting $40 million in profit improvement. By mid-2025, the company reversed course. Customer satisfaction had eroded. Klarna began rehiring human agents.
Forrester Research estimates that 55% of employers now regret laying off workers for AI-related reasons. Gartner projects that half of all companies that cut jobs for AI will rehire people for similar roles by 2027.
The pattern is consistent: AI handles volume well and complexity poorly. The customer service roles that survive are the ones dealing with exceptions, escalations, and situations where empathy matters -- which turns out to be a larger share of the work than most automation forecasts assumed.
Translation: the steepest decline
Translation may be the profession most visibly gutted by AI in the current wave. A Microsoft Research study published in July 2025 ranked translators and interpreters at the top of its AI capability overlap index.
The employment data backs this up. The International Monetary Fund reduced its translator headcount from 200 to 50. Research on Jordan's translation industry found AI drove a 40-70% decrease in human translator employment. On freelance platforms, translation job postings dropped 19% between late 2022 and early 2024 (Bloomberry), and the decline has accelerated since.
Duolingo made the shift explicit, replacing its contract translators with generative AI and launching 148 new courses in under a year -- work that previously took a decade. The company later faced criticism that course quality had degraded: "more repetitive, less nuanced, and more like an endless stream of automated exercises."
What survives: diplomatic, legal, financial, and medical translation -- contexts where a mistranslation carries material consequences. The bulk commodity work is largely gone.
Writing and content creation: death of the commodity brief
An analysis of 180 million global job postings by Bloomberry found that writing roles showed among the steepest declines since ChatGPT's launch. On Upwork specifically, writing work dropped 32% year over year. Ramp's economics lab tracked the spending shift: freelance marketplace spending as a share of total company budgets fell from 0.66% to 0.14%, while AI model spending rose from zero to 2.85%.
The decline is not evenly distributed. Entry-level copywriters, SEO content writers, and product description writers absorbed the earliest losses. As the Bloomberry researcher noted, "the copywriter who executes a brief is vulnerable. The creative director who decides what the brief should say is less so."
A partial reversal is underway. Job listings for marketers, copywriters, and content moderators have shown a revival as employers restaff roles where AI output proved insufficient. The quality ceiling is real -- AI writes serviceable first drafts but struggles with brand voice, strategic framing, and the editorial judgment that separates content from noise.
Data entry and administrative work: quiet, near-total automation
Manual data entry clerks face a 95% automation risk (Brookings Institution/GovAI Occupation Vulnerability Index), with AI systems processing over 1,000 documents per hour at error rates below 0.1% compared to 2-5% for humans.
In healthcare, medical transcription is functionally automated. Ambient AI technology -- which listens to doctor-patient conversations and generates clinical notes in real time -- is now deployed across the majority of U.S. healthcare systems, according to a 2025 AMA survey. Medical scribe job postings are declining at 20% annually.
Accounting follows a similar pattern. Transaction categorization (90% automation risk), bank reconciliation (85%), and invoice processing (85%) are shifting to AI (McKinsey Global Institute). Bookkeeper employment is declining at 5% while accountant employment grows at 5% -- the profession is bifurcating between automated commodity tasks and advisory work requiring judgment.
Recruiting and HR screening: automation of the middle
87% of organizations now use AI at some point in their hiring process (SHRM 2025 survey). AI-powered screening tools reduce resume review time by up to 75%, and teams report 20-40% lower cost-per-hire. IBM's CEO confirmed the company used AI to take over the work of several hundred HR employees, with its AskHR agent now automating 94% of routine HR tasks.
But IBM's total headcount actually increased -- it redirected resources into engineering and sales roles. This is the pattern that keeps repeating: automation does not eliminate the department. It eliminates the routine layer within the department and redistributes headcount toward higher-judgment functions.
What the data actually says about net impact
The World Economic Forum's 2025 Future of Jobs Report projects 92 million jobs displaced and 170 million created between 2025 and 2030 -- a net gain of 78 million. Goldman Sachs estimates generative AI could affect 300 million jobs but projects only a 0.5 percentage point increase in unemployment, with many effects temporary as new roles emerge.
Anthropic's research found "limited evidence that AI has affected employment to date." The more measurable effect is a 14% drop in job-finding rates for young workers in AI-exposed occupations -- companies are not firing people so much as they are not hiring replacements.
This is the part that gets lost in headline-driven coverage. The labor market impact is real but slow, uneven, and more about role transformation than role elimination. McKinsey estimates AI could automate 60-70% of current work activities by 2030, but activities are not jobs. Most roles are bundles of tasks, and AI is picking off specific tasks within those bundles.
What this means for job seekers
The threat is task-level, not job-level. If 40% of your role is automatable, that does not mean a 40% chance you lose your job. It means 40% of your time will be reallocated -- either to higher-value work or, if your organization handles it poorly, to a smaller headcount doing the remaining 60%.
Speed matters. The workers who learn to use AI tools to handle the automatable portion of their work are more valuable than before, not less. IBM did not eliminate its HR department -- it redirected those resources. The question is whether you are the person being redirected or the person being replaced.
The hiring freeze is the bigger risk. Anthropic's data shows a 14% drop in job-finding rates for young workers in exposed fields. Companies are not dramatically firing -- they are quietly not backfilling. For job seekers, this means higher competition for fewer open roles, longer search timelines, and a premium on moving fast when positions do open.
Nox finds, evaluates, and applies to jobs on your behalf -- matching your experience against open roles and submitting tailored applications through employer platforms while you focus on the parts of your search that require human judgment.
Try Nox free -- no credit card required.
Sources: Anthropic Labour Market Impacts Research (March 2026), World Economic Forum Future of Jobs Report 2025, Goldman Sachs Global Economics Research, McKinsey Global Institute, Forrester Future of Work Report 2026, Bloomberry 180M Jobs Analysis, Brookings Institution/GovAI Occupation Vulnerability Index, Gartner Customer Service Predictions, Ramp Economics Lab, Microsoft Research AI Capability Index (July 2025), SHRM 2025 AI in Hiring Survey.