AI is progressing rapidly, but what matters most to workers is how it changes everyday tasks. Anthropic recently evaluated roughly 170 million U.S. jobs by the actual tasks people perform and found a clear pattern: occupations centered on digital work and information processing are most exposed to AI, while roles that require physical presence, hands-on skills, or face-to-face interaction remain harder to automate for now.
Computer Programmers
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Programming is among the most exposed occupations: around 75% of typical programming tasks can be assisted by AI. Much of a developer’s work involves writing, editing, and debugging code—areas where AI tools already offer rapid code suggestions, auto-completion, and error detection. Nonetheless, human developers remain essential to define system architecture, set priorities, and make judgment calls for complex integrations and safety-critical decisions that require context and experience.
Customer Service Representatives
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Customer service has been rapidly transformed by automated systems, especially on help desks and chat platforms. Routine inquiries and straightforward requests are frequently resolved by AI-driven assistants that respond quickly and scale easily. Human agents are still necessary for exceptions: complex issues, novel problems, or interactions that require empathy, negotiation, or discretionary judgment remain best handled by people.
Data Entry Keyers
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Data entry is highly exposed because its core tasks—transferring and organizing information—are straightforward to automate. Modern AI can extract text from scans, interpret handwriting, and populate fields with high speed and increasing accuracy. Human oversight remains important to validate results and correct errors, since even minor inaccuracies in data capture can cascade into larger operational problems.
Medical Record Specialists
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Medical record specialists organize and maintain patient information across healthcare systems. AI already helps by summarizing clinician notes and structuring medical data, which speeds up routine record-keeping. However, trained staff are still required to review and confirm entries because errors or misinterpretations in medical records can directly affect diagnoses, treatment plans, and patient safety.
Market Research Analysts And Marketing Specialists
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Market research and marketing roles blend data analysis with strategic judgment. While roughly 65% of their tasks—gathering data, tracking consumer behavior, and generating reports—can be aided by AI, humans are essential for interpreting trends, contextualizing findings, and shaping creative strategies. Timing, brand positioning, and nuanced audience understanding still depend heavily on human insight.
Sales Representatives
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Approximately 63% of sales tasks can receive AI support. AI helps identify promising leads, personalize outreach, and maintain pipeline data, but closing deals typically hinges on trust, negotiation, and relationship-building. Those human skills—reading subtle cues, adapting conversations in real time, and managing complex negotiations—remain difficult for AI to replicate fully.
Financial And Investment Analysts
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Financial and investment analysts show about 57% exposure to AI. AI systems can rapidly scan financial statements, model scenarios, and highlight trends, but analysts are still relied upon to interpret risk, connect data to broader economic or geopolitical events, and make forward-looking recommendations. These judgment calls and holistic evaluations remain central to investment decision-making.
Software Quality Assurance Analysts And Testers
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Quality assurance and testing are increasingly assisted by AI that automates repetitive test generation, simulates user behavior, and scans for regressions. Yet human testers remain vital for designing meaningful test cases, exploring edge cases, and diagnosing complex failures that automated checks might miss. Their domain knowledge helps catch subtle bugs that could otherwise slip through automated processes.
Information Security Analysts
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Information security analysts benefit from AI that sifts through large volumes of logs and flags anomalous activity, but humans make the strategic calls about threat response. Security professionals interpret alerts, investigate incidents, and understand attacker tactics and intent—skills that go beyond pattern detection and require experience, context, and adaptive thinking.
Computer User Support Specialists
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Technical support roles show around 47% exposure as AI handles routine troubleshooting and common questions through chatbots and knowledge-base search. Support specialists continue to be essential for diagnosing complex problems, providing step-by-step guidance, and assisting users in atypical situations where personalized attention and deeper technical expertise are required.
Overall, the report highlights that AI will augment many roles—automating repetitive tasks and increasing productivity—while creating greater demand for human skills that emphasize judgment, creativity, empathy, and oversight. Workers and organizations that combine AI tools with domain expertise are likely to see the most benefit as the technology reshapes how routine work gets done.