What Should Urban Planners Verify in AI Summaries of Public Comments?
Learn how to check source fidelity, coverage, local planning fit and review needs before relying on AI summaries of public comments.
Read the analysisThe guide library
Job risk by role
Focused guides about job risk by role, connected to the decisions readers make next.
What AI Use Data Misses About Court Reporting
AI-use data can flag tasks to examine, but it cannot map a court reporter’s workflow or predict displacement. Learn how to check one task against local rules and evidence.
Read the analysisWhat ILO Working Paper 170 Adds to AI-at-Work Evidence
What Working Paper 170 adds on AI surveillance, work intensity and autonomy, and what its evidence can—and cannot—tell workers about their tasks.
Read the analysisWhat the ILO–World Bank 2026 Study Changes About AI Exposure
Learn how task content and internet access change cross-country comparisons of generative-AI exposure, and what the estimates cannot tell workers.
Read the analysisHow Operations Analysts Can Show AI Verification at Work
Choose one operations-analyst work sample that makes verification visible. Compare a checked summary, a forecast or optimization, and a prompt-only demo.
Read the analysisHow to Check an AI-Generated Spreadsheet Formula Before Reusing It
Before reusing an AI-generated formula in a monthly report, check the metric definition, references, expected test cases and an independent reconciliation.
Read the analysisWhat the ILO Says About Skills for Workers Using AI
The ILO identifies broad AI literacy, judgment, data, social and adaptive skills. Here is what the report means, and how to choose a next learning step.
Read the analysisWhat Microsoft’s 2026 Work Trend Index Measures About AI Agents
A guide to the Work Trend Index’s survey, readiness measures and agent activity data, including what its headline figures can and cannot show.
Read the analysisStanford HAI’s 2026 AI Index: Adoption vs. Displacement
What Stanford HAI’s 2026 AI Index says about AI adoption, employer expectations, employment evidence, and practical next steps for workers.
Read the analysisWhat Should Policy Analysts Verify in AI Research Summaries?
NIST calls for source verification and documented fact-checking. Here’s how to apply that guidance to a policy summary, and where its limits begin.
Read the analysisDoes Freelance AI Pay Evidence Tell Salaried Workers to Specialize?
An AI-related rate premium on Upwork is a platform signal, not a salary forecast. Compare freelance and payroll evidence before specializing.
Read the analysisWhat the 2025 Swiss Apprenticeship Study Adds to AI Exposure Evidence
The 2025 article’s highlights report an 8% decline in Swiss apprenticeship searches after ChatGPT’s launch; its abstract reports no fall in signed contracts.
Read the analysisShould You Pay for an AI Credential Without Work Practice?
If workplace access and feedback are your real gap, compare supervised practice, courses, and credentials before spending time or money.
Read the analysisWhat the OECD AI and Skills Report Shows About Training
The OECD links AI training with better reported work outcomes. Trace the survey and experiments to see what they show—and what remains unproven.
Read the analysisHow German Employers Communicate AI Rules at Work
German employers report introducing or planning AI rules, but surveys do not show whether workers receive clear task guidance.
Read the analysisWhen German Employers Adopt AI, What Changes in Training?
German studies point to selective training shifts: more apprentice places at training firms, modest continuing learning, and uneven worker access.
Read the analysisDo Small Businesses Using Generative AI Need Fewer Staff?
Survey evidence suggests workload and skill needs often change before total staff need. Here is what small-business workers can watch and do next.
Read the analysisAI-Linked Performance Evaluation in the EU: What We Know
The JRC reports automatic performance assessment for 13% of EU workers, but not how much uses AI. See what the evidence says about daily work.
Read the analysisWhat Anthropic’s 2026 Worker Survey Adds to AI Data
Anthropic linked Claude use with worker reports in 2026. See what changed, what the evidence shows, and what it cannot say about job loss.
Read the analysisWhat NIST AI 600-1 Asks Organizations to Manage at Work
NIST AI 600-1 offers voluntary, context-specific guidance for managing generative AI risks at work. Here is what teams should map, test, govern, and revisit.
Read the analysisWhat Skills Does OECD Say Public Workers Need for AI?
OECD’s 2026 brief matches AI skills to role responsibilities. See what its evidence supports and how to choose a realistic next step.
Read the analysisHow Should U.S. HR Specialists Assess AI Change?
Assess exposure and adoption in recruiting, compliance, and employee relations; compare an upgrade, adjacent move, or transition against workflow shifts and personal constraints.
Read the analysisGoogle’s September 2026 ATLAS Update: Can It Show Job Losses?
Google’s new ATLAS explorer makes recorded product interactions easier to explore. Here’s what it reveals, and what evidence a job-displacement claim needs.
Read the analysisWhat the July 2026 Epoch AI Survey Shows—and What It Doesn’t
The July 2026 Epoch AI/Ipsos survey found reported AI handoffs for selected activities. Its one-in-five result is not a job-loss count; later labor-demand evidence adds context.
Read the analysisWhen Is an Early-Career Employment Decline in AI-Exposed Work a Warning?
Learn when a persistent decline in early-career employment is a warning about entry access, what evidence would link it to AI, and how to choose a proportionate next step.
Read the analysisHow to Read Conflicting AI Exposure Scores at Work
Conflicting AI exposure scores measure different things. Compare their methods, check your actual tasks and adoption evidence, then choose a proportionate next move.
Read the analysisHow AI Is Changing Urban Planners’ Work, Task by Task
See where AI may assist site analysis, consultation, and approval advice, what evidence can show, and how to test one workflow before making a career move.
Read the analysisInsurance Adjuster AI Trial: Track Time Saved vs Review
A two-week claims AI trial needs more than draft speed. Track total human labor, review, rework, and quality to see whether work was saved or shifted.
Read the analysisCan AI Support Results Generalize to Experienced Workers?
Support-agent results suggest AI effects vary by task and worker, not that one pattern predicts other jobs. Compare the evidence and test your own workflow.
Read the analysisWho Benefits Most From AI—and Do the Gains Last?
Research finds larger immediate AI gains for some lower-baseline workers, but independent performance after tool removal varies by task, workflow and follow-up.
Read the analysisDo AI Productivity Gains Also Improve Work Quality?
AI can improve speed and measured quality together on some tasks. See what workplace studies show, what they cannot prove, and how to check your own work.
Read the analysisWhat Human–AI Collaboration at Scale Shows About User Agency
A claim audit of the study’s higher-stakes conversations: what engagement reveals about user agency, what it cannot establish, and how to inspect one consequential task.
Read the analysisWhat Skills England’s AI Foundation Skills Benchmark Teaches
Learn what the six Skills England AI foundations cover, what the badge means, and how to choose a practical learning route for your work.
Read the analysisWhy AI Coding Studies Find Different Effects on Developers
Randomized AI coding studies measure different tasks, tools and outcomes. Learn how to compare their results and test assistance in your own workflow.
Read the analysisDo AI Agent Scores Show Which Jobs Will Disappear?
Learn what AI agent benchmarks measure, how they differ from employment evidence, and how to turn a capability signal into a proportionate next step.
Read the analysisWhat AI Exposure Misses About Adoption Within Occupations
AI exposure measures task potential, not who uses AI at work. See how task fit, worker costs and workplace conditions shape adoption, and what to check before making a career move.
Read the analysisAnthropic Economic Index: What It Measures and Can't Show About Your Job
The Index maps product activity to occupational tasks. Compare report methods with AI exposure and adoption; see what it can't show about your job.
Read the analysisWhen AI Productivity Evidence Doesn’t Mean Fewer Workers
AI productivity gains do not establish that employers need fewer people. Learn what task, firm and labor evidence can—and cannot—show.
Read the analysisHow to Discuss Pay or Workload When AI Speeds Up One Task
Track the full workflow, checking, workload, and responsibility before asking for priorities, a workload change, a pay review, or both.
Read the analysisWhat BLS’s 2025–35 AI Exposure Categories Leave Out
BLS’s new categories compare AI exposure across U.S. occupations. Learn what the labels measure, what they omit, and how to assess your own work.
Read the analysisWhat BLS’s 2025 AI Case Study Says About Budget Analysts
BLS expected AI to change parts of budget analysis. Learn what its projections show, what they cannot establish, and how to assess your own work.
Read the analysisWhat Employees Should Record When AI Adds Review Work
Record AI-assisted work from intake through review and correction. Compare similar cases, track quality and effort, then make a bounded workflow request.
Read the analysisWhat The Rapid Adoption of Generative AI Actually Shows
What the U.S. survey reports about generative AI use at work and at home, and what those findings cannot establish about any worker’s job.
Read the analysisHow to Test Human Review of AI-Drafted Work
Learn which checks on AI-drafted work can be tested, how to test them against human-reviewed examples, and where accountable human judgment remains essential.
Read the analysisWhat GAO Says About AI Medical Coding and Coder Oversight
GAO describes widespread coder-reviewed suggestions and emerging autonomous assignment, but reports no measured coder displacement.
Read the analysisDoes AI Help New Support Agents Learn or Just Resolve More Cases?
AI-assisted support may help new agents resolve cases faster, but that does not prove they learn independent skills. See what the evidence shows and how to assess learning.
Read the analysisWhat Must Junior Auditors Learn to Review AI-Assisted Audit Evidence?
AI can change audit evidence processing, but juniors still need to connect procedures, source data, exceptions, and conclusions. Learn what to practice and choose a next step.
Read the analysisWhen AI Raises Productivity, Who Receives the Gains?
Worker involvement can shape AI implementation, but pay rules decide whether productivity gains reach workers. Here is what current evidence supports and what to ask.
Read the analysisWhen AI Makes Work Faster, What Proves It Is Better?
Speed and volume are not quality. Compare workplace AI studies, their limits, and a practical way to test whether a real task improves.
Read the analysisHow Can Apprentices Tell Whether AI Helped Them Learn?
AI-assisted work can show delivery without proving independent skill. Use a changed-case check to decide what an apprentice should practice or handle next.
Read the analysisShould You Pay for an AI Credential Before Knowing the Tools?
A practical way to judge whether a vendor-specific AI credential fits your target roles, learning goal, budget and evidence of employer demand.
Read the analysisWhen AI Changes Your Work, Keep the Decision Checkable
Map what AI now does, test quality as well as speed, and clarify when your final approval is real control rather than a signature.
Read the analysisDoes an AI Requirement Mean You Must Build AI?
Learn to tell whether an AI job requirement means using a tool, integrating a system, or building AI, and what to ask when the ad is vague.
Read the analysisWhat LinkedIn’s 2026 Labor Market Report Shows About AI Jobs
LinkedIn’s report points to emerging AI role families and changing skill signals. See what the figures can—and cannot—tell you about your next move.
Read the analysisWhat LinkedIn’s 2025 Work Change Report Actually Shows
What LinkedIn’s 2025 report establishes about changing skills, and what it leaves unknown about task automation, adoption, demand, and job loss.
Read the analysisWhen an AI Job Posting Describes Real Work
Learn how to assess AI language in a job posting, identify what remains unknown, and ask the hiring team questions that clarify the work.
Read the analysisWhy Worker and Business Surveys Report Different AI Use Rates
Worker and business AI-use rates differ because surveys count different respondents, activities, time periods, and units.
Read the analysisWhat the ILO’s 2026 Review Changes About AI at Work
The ILO finds uneven task gains, but no reliable path from saved time to better work or more jobs. Here is what workers can measure next.
Read the analysisHow to Document Human Sign-Off for AI-Assisted Work
Learn what to record when reviewing AI-assisted work, how to show the scope and limits of your checks, and when to follow a fuller review process.
Read the analysisHow to Build an AI Portfolio Project From Safe Inputs
Choose permitted inputs, test one bounded AI step, and show its checks and limits. Change tasks or seek scoped approval when context cannot be safely recreated.
Read the analysisHow to Ask for Role Clarity After Automation Changes Your Work
A practical guide to clarifying responsibilities, authority, workload, and next steps after automation changes part of your job.
Read the analysisCan Notion AI Cut Project Admin Without Losing the Human Work?
Notion AI can draft meeting records and action items. Here is what a project coordinator should test, verify, and keep in human hands.
Read the analysisWhat AI Monitoring Changes About Job Quality and Autonomy
See how monitored work can affect pace, discretion and accountability, and how to inspect one task without treating monitoring as a job-loss forecast.
Read the analysisWhat AI Changes in Instructional Design Work
See which instructional design tasks AI may change, why teaching remains distinct, and how to test a practical next step using current evidence.
Read the analysisWhat AI Changes in Financial Planning and Analysis Work
See which FP&A tasks AI may change, what adoption evidence can and cannot show, and how to test a workflow before choosing your next career move.
Read the analysisHow AI Changes Knowledge Transfer from Senior to Junior Workers
AI can share useful work patterns, but faster output does not prove a junior colleague has learned the judgment behind it. Here is what the evidence shows and what to do.
Read the analysisDoes AI Adoption Increase Work Intensity or Monitoring?
AI use can coincide with faster work and monitoring, but neither follows automatically. Separate workload changes from data use and task direction.
Read the analysisDoes AI Increase Verification Work After First Drafts?
AI can speed first drafts while shifting effort to checking. See what research measures, what it leaves open, and how to compare total task time.
Read the analysisWhat Anthropic's June 2026 Index Reveals About AI Work Patterns
Anthropic's June 2026 Index shows longer, more delegated AI workflows producing artifacts. See what it reveals about task exposure—and what it cannot prove about your job.
Read the analysisWhat OECD’s 2026 AI Evidence Means for Non-Engineering Learners
OECD’s 2026 evidence changes the order of an AI learning decision: map tasks, separate exposure from adoption, test a workflow, then choose a proportionate path.
Read the analysisIs AWS Certified AI Practitioner worth it if I do not work in cloud?
AWS Certified AI Practitioner may help a non-cloud worker when an AWS-linked task, target role, or project justifies it. Use this task, evidence, and constraint test before paying.
Read the analysisIs Google AI Essentials Worth It for Practical Workplace Use?
Google AI Essentials is worth it conditionally for beginners with a permitted work task and plan to verify results, but weak as job insurance or standalone proof of AI capability.
Read the analysisIs AWS Certified AI Practitioner Enough for a Nontechnical Worker?
AWS Certified AI Practitioner can support a first move into AI-informed work, but it does not prove production readiness. Match it to one task, one gap, and your constraints.
Read the analysisWhat AI Exposure Looks Like in Business Intelligence Analyst Work
Business intelligence analyst work has a large digital surface area, but exposure is task-specific. Learn what changes first and what to do next.
Read the analysisWhat to Ask Your Manager Before Accepting an AI-Altered Role
Before you accept an AI-altered role, ask what changes, who remains accountable, how performance is measured, and what support and review you will receive.
Read the analysisHow AI Is Changing Sales Work: Research, Outreach, and Relationships
AI is reaching sales research, outreach, notes, proposals, and CRM work unevenly. Map your task bundle, test one low-risk workflow, and choose a realistic 90-day move.
Read the analysisHow AI Is Changing Software Work: Coding Is Only Part of the Job
AI is changing software work beyond code. Map exposure across requirements, coding, testing, maintenance, review, and accountability, then choose a practical next step.
Read the analysisDoes the IMF AI Preparedness Index Tell You Where to Move for Work?
The IMF AI Preparedness Index describes national conditions for AI adoption. Learn why it cannot rank personal job prospects, and what to check before moving.
Read the analysisCan DOL AI Literacy Framework Guide a Nontechnical Worker’s First Project?
Use the DOL AI Literacy Framework to plan a bounded task test. Compare results with checks, safe inputs, and human review; treat findings as task evidence, not a career forecast.
Read the analysisCan NIST AI RMF Help You Choose AI Governance Skills?
Use NIST AI RMF to map governance work to skills and evidence. Compare learning routes and career moves against your experience and constraints.
Read the analysisWhat the OECD AI Exposure Measure Says About Language and Embodied Work
The OECD finds capability overlap in both information and embodied work. Learn what the measure shows, what it cannot predict, and how to assess your tasks.
Read the analysisWhat Worker Consultation Changes When Employers Introduce AI
Learn which AI workflow decisions worker consultation can influence, what the evidence shows, and what to ask before a rollout is settled.
Read the analysisAI Productivity Is Not Proof of Better Work
Learn what AI productivity studies measure, when they also show better work, and how to test speed, quality, review effort, and downstream results.
Read the analysisWhat the U.S. Department of Labor AI Framework Asks Workers to Learn
Learn what the DOL framework covers, how to apply it to one work task, and which learning path fits your goal and constraints.
Read the analysisHow AI Is Changing Creative Work Without Replacing Judgment
AI can speed creative production, but judgment still shapes the brief, choices, risks, and final work. Learn what to audit and what to do next.
Read the analysisHow AI and Automation Are Changing Skilled Trades Work
Compare AI, robotics, and automation in skilled trades, what exposure evidence can show, and how to weigh realistic next steps.
Read the analysisHow AI Is Changing Legal Work: Research, Judgment, and Responsibility
Learn which legal tasks AI may change, why verification and responsibility still matter, and how to choose a realistic next step.
Read the analysisShould You Upgrade Your Role or Change Careers as AI Changes Work?
Compare an upgrade, an adjacent move, and a larger career change using task evidence, employer feasibility, and the constraints that shape your next step.
Read the analysisHow AI Changes Freelance Work Without Making Every Freelancer Replaceable
A source-led guide to freelance task exposure, changing demand, and practical ways to test an upgrade, adjacent service, or larger career change.
Read the analysisWhat Current AI Can Do at Work, and Where It Still Needs You
Learn what current AI can handle reliably at work, where it needs oversight, and how to test one task before making a larger career decision.
Read the analysisWhich Skills Become More Valuable as AI Changes Work?
No skill is universally more valuable as AI changes work. Learn how to choose a task-specific skill and test it before committing to a course or career change.
Read the analysis