If AI-related layoffs have you considering a career change, start by separating a changing job from a disappearing one. Global research finds widespread exposure to generative AI, but says most exposed jobs are more likely to be transformed than eliminated. Before paying to retrain, check whether your employer can offer training or a move into another role, then test a career option against local hiring demand and the skills you already have.
Will AI take your job, or change what it involves?
Exposure is not a personal prediction of job loss. The International Labour Organization’s 2025 assessment estimates that one in four workers globally are in occupations with some degree of generative AI exposure. It concludes that most jobs are more likely to be transformed than made redundant, because human input remains necessary.
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The ILO analyzed nearly 30,000 tasks at a detailed occupational level, using task data, expert input and AI predictions. Its mean automation score was 0.29 in 2025, compared with 0.30 in 2023. That score is a result of its occupational-exposure methodology—not a percentage of jobs expected to vanish. The assessment also finds that exposure varies by task, including increased automation scores for some media- and web-related work as generative models gained voice, image and video capabilities.
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What do the global job forecasts actually say?
The World Economic Forum’s 2025 Future of Jobs Report projects 170 million jobs created and 92 million displaced worldwide by 2030—a net increase of 78 million. The projections reflect several drivers, including technology, demographics, geoeconomic tensions and economic pressures. They are not an AI-only forecast, an audited count of AI-caused layoffs or a guarantee about a particular country or worker.
The WEF identifies growth in technology, data and AI roles, as well as care, education, delivery, construction and farm work. It identifies cashier and administrative roles among occupations expected to decline, and notes that graphic designers have joined discussion of roles under pressure. A projected decline does not establish that every job in that occupation will disappear or that AI alone will cause the change.
The figures are best read as signals to investigate, not a list of guaranteed safe or doomed careers. Local hiring needs, credentials, pay and working conditions may differ substantially from a global projection.
Which skills should you build after a layoff?
Combine experience, AI fluency and adaptable skills
Employers surveyed for the WEF’s 2025 report expect 39% of workers’ core skills to change by 2030, down from 44% in the 2023 edition. Analytical thinking is currently the survey’s top core skill. AI and big data, networks and cybersecurity, and technological literacy are among the fastest-rising skills; creative thinking, resilience, flexibility, agility, curiosity and lifelong learning also matter.
The ILO-hosted joint skills report published on 13 August 2026 adds emphasis on safe and ethical AI use, digital and data capabilities, higher-order cognitive skills, socioemotional skills, adaptability, resilience and human agency. The practical implication is not that everyone should become an AI specialist. A more realistic combination is your existing domain knowledge, enough technical fluency to use relevant tools responsibly, and the human capabilities needed to interpret results, communicate and make decisions.
Start with skills that transfer
Write down the work you have actually done, not just your formal title. Include tools used, decisions made, problems solved, customers or teams supported, and evidence of results. Then identify which parts could transfer to adjacent roles. Someone who has coordinated complex schedules, for example, may have planning and stakeholder-management experience useful in other operations work; whether a particular role is a fit depends on its actual duties and local requirements.
Separate a skill gap from a credential gap. A job posting may require demonstrated ability, a recognized qualification, or both. Verify that distinction with current local postings and conversations with people who hire for the roles you are considering before committing to a course.
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If you are still employed, ask about training and redeployment before assuming an external career pivot is necessary. The WEF reports that 77% of surveyed employers plan to reskill or upskill existing workers to work alongside AI by 2030, while 47% plan to move employees from AI-disrupted roles into other roles. At the same time, 41% expect workforce reductions related to AI adoption. These are employer plans reported in a survey, not outcomes guaranteed at your company.
The WEF also reports that 86% of surveyed employers expect AI and information-processing technologies to transform their businesses by 2030. Its figures describe expectations, not completed layoffs. If a role change is possible, ask what skills it requires, whether training time is available, and how the employer assesses readiness.
- Ask about adjacent roles: Find out whether teams elsewhere need skills you already use and what gaps you would need to close.
- Clarify the training offer: Check whether training is paid, how much work time it takes, which costs are covered and what evidence of completion or competence is expected.
- Check redeployment terms: Ask about eligibility, timing and how an internal move affects your current role. Get important terms in writing where possible.
If you have been laid off or an internal move is unavailable, check public workforce services and locally applicable training support. Programs, eligibility and credential recognition vary by country and region, so confirm those details directly rather than relying on a general global recommendation.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How do you choose a career pivot without wasting time or money?
Compare real openings, not just attractive job titles
Choose several plausible target roles and review current local postings for each. Note how often they appear, what employers ask candidates to do, which qualifications are required, and which skills are preferred. The WEF’s global projections can suggest areas to investigate, but they cannot establish demand in your city or confirm that you qualify for a role.
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Weigh the gap and the cost of closing it
For each option, compare its hiring demand with your skills overlap, required credential or portfolio, training time and cost, and any funding you can actually access. A path that builds on your experience may require less retraining than one that starts from scratch, but local hiring requirements should decide whether the overlap is valuable.
Best Value
The WEF reports that 63% of surveyed employers cite skills gaps as a key barrier to business transformation. That signals a broad challenge for employers; it does not mean every new credential will be valued or lead to a job. Verify recognition with employers in your target field and check funding terms and eligibility before enrolling.
Test the work before making a costly commitment
Look for a low-risk way to try the work: a small project, a short introductory course, an internal assignment, a volunteer task with relevant responsibilities, or an informational conversation with someone doing the job. A sample of the actual work can reveal whether you enjoy it and what skills you need. Where hiring managers expect evidence, build a work sample or portfolio that demonstrates those specific abilities.
A practical reskilling plan
- Inventory your experience. List tasks, tools, decisions, outcomes and transferable capabilities from your recent work.
- Identify what is changing. Separate tasks already being automated or AI-assisted from work that still calls for human judgment, context, responsibility or interaction.
- Research three target roles. Use current local job postings to check demand, duties, credentials and skill requirements.
- Choose the smallest credible gap to close. Decide whether you need a specific skill, a recognized credential, or demonstrable work samples; confirm the requirement with employers or practitioners.
- Check internal and public support. Ask about employer training and redeployment, then verify any local workforce services, funding and eligibility that may apply.
- Try a small learning path first. Test the work through a project, short course or assignment before making a large financial or career commitment.
- Review the evidence and adjust. Compare what you learned with actual role requirements, then continue, choose an adjacent role or revise the target.
Reskilling can improve your options, but it cannot guarantee a job. Treat a pivot as a series of evidence-based decisions: understand the tasks at risk, find out what can transfer, and invest in training only when it addresses a verified gap.
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