We grouped all 17 careers in our dataset into 6 industry sectors and calculated the average AI displacement risk per sector. Finance & Accounting leads with ~70% average risk. Product & Strategy is the most resilient at 32%. Each section includes Stanford AI Index 2026 context for that industry.
| Sector | Careers | Average Risk (%) | Stanford AI Index 2026 Note |
|---|---|---|---|
| Finance & Accounting | Bookkeeper, Tax Preparer, Accountant, Financial Analyst, Investment Banker, Loan Officer | 70 | Stanford AI Index 2026: AI penetration in finance operations is among the highest across all sectors. Productivity gains of 26%+ documented in structured financial workflows. |
| Legal & Insurance | Paralegal, Insurance Underwriter | 76 | Stanford AI Index 2026: Legal services is in the top-five AI-exposed categories. Insurance underwriting algorithms now outperform human accuracy on standard risk assessments. |
| Technology & Data | Data Entry Clerk, IT Support Specialist, Data Analyst, Software Developer, Cybersecurity Analyst | 54 | Stanford AI Index 2026: Entry-level software developer employment (ages 22–25) fell ~20% since 2024. AI agents achieved 93% cybersecurity problem-solving success (vs. 15% in 2024). AI skills demand in the information sector grew from 7.8% to 13.2%. |
| Healthcare | Medical Coder, Registered Nurse | 47 | Stanford AI Index 2026: Physicians using AI note-generation tools report 83% less time spent writing clinical notes. ICD-10 code assignment is being automated by NLP with 90%+ accuracy on standard cases. Nursing shortage is structural and worsening — demand outpaces AI substitution. |
| Sales & Customer Service | Customer Service Representative, Sales Representative, Real Estate Agent | 68 | Stanford AI Index 2026: Customer support AI tools deliver 14–15% productivity gains and handle Tier-1 tickets without human intervention. Real estate platforms report AI-generated listings and valuations now handling 60%+ of initial property discovery. |
| Creative & Media | Content Writer, Graphic Designer | 74 | Stanford AI Index 2026: Generative AI image and text models saw the fastest adoption curve of any AI category in 2025. Creative agency headcount for production roles declined ~25% industry-wide while demand for creative directors and brand strategists held steady. |
| Education & HR | Teacher, HR Manager | 47 | Stanford AI Index 2026: AI education tools (adaptive tutoring, automated grading) are the fastest-growing EdTech category. HR AI platforms automated ~40% of transactional HR tasks in early adopter companies. Both sectors retain strong demand for experienced professionals who direct AI tools rather than compete with them. |
| Administration & Operations | Administrative Assistant | 82 | Stanford AI Index 2026: Administrative and secretarial roles are in the top categories for AI-driven productivity substitution. Microsoft reports Copilot reduces administrative task time by 29% on average in enterprise deployments. |
| Product & Strategy | Product Manager | 32 | Stanford AI Index 2026: Expert consensus is that roles requiring "judgment, trust, and complex reasoning" are most resistant to automation. Product managers score high on all three dimensions. |
Finance and accounting roles are among the most AI-exposed of any sector. Task routinization is extreme — reconciliation, data entry, tax calculation, and standard reporting are all rule-based processes that AI executes with high accuracy and zero fatigue.
Stanford AI Index 2026: AI penetration in finance operations is among the highest across all sectors. Productivity gains of 26%+ documented in structured financial workflows.
Legal and insurance roles face high automation pressure in document-heavy, rules-based workflows. Contract review, risk scoring, and standard policy processing are already handled by AI. Human professionals retain value in complex cases, client relationships, and strategic judgment.
Stanford AI Index 2026: Legal services is in the top-five AI-exposed categories. Insurance underwriting algorithms now outperform human accuracy on standard risk assessments.
Technology roles show a nuanced picture: senior engineers and security specialists are relatively protected, but entry-level and data-entry-adjacent positions face severe pressure. The "jagged frontier" is especially visible here — AI excels at code generation and log analysis while struggling with complex systems thinking.
Stanford AI Index 2026: Entry-level software developer employment (ages 22–25) fell ~20% since 2024. AI agents achieved 93% cybersecurity problem-solving success (vs. 15% in 2024). AI skills demand in the information sector grew from 7.8% to 13.2%.
Healthcare shows the starkest split between clinical judgment (highly protected) and administrative processing (highly automated). Medical coding and clinical documentation are being transformed by AI trained on clinical notes — but nursing, diagnosis, and treatment decisions remain firmly human. Registered nurses score 22% risk, among the lowest of any profession.
Stanford AI Index 2026: Physicians using AI note-generation tools report 83% less time spent writing clinical notes. ICD-10 code assignment is being automated by NLP with 90%+ accuracy on standard cases. Nursing shortage is structural and worsening — demand outpaces AI substitution.
Customer-facing roles face significant automation at the tier-1 interaction level — chatbots, AI dialers, and CRM automation handle routine inquiries and outreach. Real estate agents face mounting pressure from automated valuation and listing tools. High-value sales relationships, complex negotiations, and investment advisory remain human-dependent.
Stanford AI Index 2026: Customer support AI tools deliver 14–15% productivity gains and handle Tier-1 tickets without human intervention. Real estate platforms report AI-generated listings and valuations now handling 60%+ of initial property discovery.
Generative AI has directly disrupted creative production — content writing, graphic design, and visual media face the steepest automation pressure of any creative profession. The split is between commodity production (high risk) and strategic creative direction (protected). Designers and writers whose value is in execution speed are at highest risk; those providing brand strategy, investigative journalism, or art direction retain strong value.
Stanford AI Index 2026: Generative AI image and text models saw the fastest adoption curve of any AI category in 2025. Creative agency headcount for production roles declined ~25% industry-wide while demand for creative directors and brand strategists held steady.
Education and HR share a common protection: both are fundamentally relational professions. Teachers mentor students through social and emotional development; HR managers navigate the human complexity of organizations. AI automates the administrative layers of both roles — grading, scheduling, screening — while the judgment-intensive core remains protected.
Stanford AI Index 2026: AI education tools (adaptive tutoring, automated grading) are the fastest-growing EdTech category. HR AI platforms automated ~40% of transactional HR tasks in early adopter companies. Both sectors retain strong demand for experienced professionals who direct AI tools rather than compete with them.
Administrative roles face significant pressure from AI tools that automate scheduling, communication, and document management. The administrative assistant role — one of the largest white-collar job categories globally — is being transformed by tools like Microsoft Copilot and Google Workspace AI. Survival requires pivoting from task execution to project ownership and AI tool management.
Stanford AI Index 2026: Administrative and secretarial roles are in the top categories for AI-driven productivity substitution. Microsoft reports Copilot reduces administrative task time by 29% on average in enterprise deployments.
Product management is among the most AI-resilient roles measured. It requires cross-functional leadership, stakeholder alignment, and strategic judgment — capabilities that remain beyond current AI. AI tools assist with research synthesis and roadmap generation, but the core judgment work is human.
Stanford AI Index 2026: Expert consensus is that roles requiring "judgment, trust, and complex reasoning" are most resistant to automation. Product managers score high on all three dimensions.
Finance & Accounting has the highest average AI displacement risk in 2026, with an average risk score of approximately 70% across bookkeeping, tax preparation, accounting, financial analysis, investment banking, and loan processing. The Stanford AI Index 2026 confirms AI penetration in finance operations is among the highest across all sectors.
Product management and strategic roles show the lowest AI displacement risk (28–32%), driven by their dependence on cross-functional leadership, stakeholder alignment, and novel problem-solving. Healthcare clinical roles are also highly protected, though administrative healthcare roles (medical coding) face high automation pressure.
Technology jobs show a wide range of AI risk. Senior software developers (38% risk) and cybersecurity analysts (28%) are relatively safe, but entry-level tech roles face acute pressure. The Stanford AI Index 2026 reports that employment among software developers aged 22–25 fell nearly 20% since 2024, even as senior headcount grew. Data entry and IT support roles within the tech sector face high automation (65–95% risk).
Finance and accounting jobs are among the most heavily impacted by AI. Bookkeepers (90% risk), tax preparers (88%), and accountants (80%) face critical-level displacement risk as AI tools like QuickBooks AI, TurboTax AI, and automated reconciliation systems handle their core tasks with high accuracy. Financial analysts (55%) and investment bankers (42%) retain more protection due to judgment-heavy, client-relationship components of their work.
Legal and insurance professionals face significant but uneven AI displacement risk. Paralegals (78% risk) and insurance underwriters (74%) see high exposure in document review, risk scoring, and standard case processing. However, lawyers, senior underwriters, and claims adjusters handling complex or contentious cases retain strong human value. The Stanford AI Index 2026 places legal services in the top-five most AI-exposed categories.
Industry averages hide wide variance within sectors. A software developer and a data entry clerk are both in "Technology" but their risk scores differ by 57 percentage points. Get your career-specific score.