Artificial intelligence has moved from an emerging technology discussed mainly by researchers into an everyday workplace tool. Businesses are using generative AI to draft documents, analyze information, write and test software, assist customers and automate repetitive processes. At the same time, governments and employers are investing in AI training as workers adapt to changing job requirements.
The shift is attracting attention because AI can affect both routine and highly skilled work. But the evidence does not support a simple story in which artificial intelligence either replaces everyone or creates unlimited new employment. Much of the expected impact is likely to occur inside jobs, as individual tasks change.
How AI Is Already Changing the Workplace
Generative AI systems can produce or summarize text, analyze data, generate software code, translate languages and create images or other media. Their use is spreading across sectors, although adoption remains uneven.
An OECD survey published November 5, 2025, found that 31% of surveyed small and medium-sized enterprises across seven countries were using generative AI. Among SMEs already using it, 65% said the technology had improved employee performance. The OECD also found applications across professional, administrative, knowledge-based and information-technology work.
In practice, AI can support customer-service workers by drafting responses, help marketers create and adapt content, assist analysts with data processing and help developers write or debug code. In healthcare and finance, AI can assist with information-intensive tasks, although decisions involving safety, regulation or significant financial consequences generally require human oversight.
Manufacturing is also changing through robotics, computer vision and automated quality-control systems. Administrative work remains another important area because many office processes involve repetitive digital tasks.
The result is not necessarily fewer workers. In some businesses, AI allows employees to spend more time on tasks requiring judgment, communication or problem-solving.
Will AI Replace Jobs or Change Them?
Short answer: AI is expected to automate some tasks and transform many existing jobs, while also creating demand for new roles and skills. The impact will vary by occupation, industry, country and the pace of AI adoption.
The distinction between a job and its individual tasks is important. A software developer, for example, may use AI to generate code while still being responsible for architecture, testing, security and business requirements. An accountant may automate parts of data processing while continuing to interpret results and advise clients.
The International Labour Organization’s refined 2025 analysis estimated that one in four workers globally are in occupations with some exposure to generative AI. Only 3.3% of global employment was placed in the highest exposure category. The ILO emphasized that most occupations contain tasks requiring human input, making job transformation more likely than complete replacement.
These figures are exposure estimates, not forecasts of actual layoffs. They assume substantial technological implementation and do not fully account for costs, infrastructure, regulation, organizational choices or workers’ skills.
Which Jobs Could Be Most Affected by AI?
| Job Area | Potential AI Impact | Why |
| Data entry | High task exposure | Repetitive, structured digital tasks |
| Customer support | Moderate to high | AI can handle routine questions and draft responses |
| Administrative work | High task exposure | Scheduling, documents and information processing can be automated |
| Basic content production | Moderate to high | AI can generate drafts, summaries and variations |
| Routine accounting | Moderate to high | Reconciliation and standardized processing can be automated |
| Software development | Task transformation | AI can assist with coding, testing and debugging |
| Data analysis | Task transformation | AI can accelerate processing and interpretation |
| Translation | Task transformation | Machine translation is increasingly capable, but context and quality control remain important |
The ILO’s May 2025 research identified clerical occupations as the most exposed to generative AI. Data-entry clerks, typists, accounting and bookkeeping clerks and administrative secretaries were among occupations with particularly high exposure. Exposure also increased in some highly digitized professional roles, including financial analysts, programmers and web developers.
“Jobs affected by AI” should therefore not be interpreted as “jobs that will disappear.” The technology may change how work is performed without eliminating the occupation itself.
Jobs That May Grow Because of AI
AI is also generating demand for workers who develop, deploy, maintain and govern these systems.
The World Economic Forum’s Future of Jobs Report 2025, published January 7, 2025, identified AI and machine-learning specialists, big-data specialists, fintech engineers and software developers among the fastest-growing roles by percentage through 2030.
Other areas could expand as organizations adopt AI, including cybersecurity, data engineering, AI implementation, technology management, AI governance and safety. Demand may also increase for workers who combine technical systems with knowledge of particular industries.
Not every projected growth area will expand at the same rate. Hiring depends on investment, economic conditions, regulation and whether companies actually deploy the technologies they are considering.
The Skills Workers Will Need in an AI-Powered Economy
AI literacy is becoming useful beyond specialist technology roles. Workers increasingly need to understand what AI systems can do, where they make mistakes and when human review is necessary.
The World Economic Forum reported in January 2025 that AI and big data were the fastest-growing skills in its employer survey, followed by networks and cybersecurity and technological literacy. At the same time, analytical thinking remained the leading core skill, while creative thinking, resilience, flexibility and lifelong learning were also expected to grow in importance.
That combination matters. A worker with industry expertise who can effectively use AI may be able to perform certain tasks faster, while someone with technical knowledge but limited understanding of the business context may struggle to apply the technology appropriately.
How AI Could Affect Different Types of Workers
Office workers: Administrative and information-processing tasks are among the areas most exposed to automation and task redesign.
Skilled professionals: Lawyers, accountants, analysts, consultants and other professionals may use AI for research, drafting and analysis while retaining responsibility for judgment and client relationships.
Developers: Coding assistants can automate portions of programming work, but demand for software remains strong. U.S. Bureau of Labor Statistics projections published for 2024–34 show employment of software developers, quality-assurance analysts and testers rising 15%, with software developers alone projected to grow 16%.
Creatives: Writers, designers and media professionals can use AI to generate drafts and variations, while originality, brand judgment and creative direction remain important.
Customer-service workers: Routine inquiries may increasingly be handled by AI systems, potentially shifting human workers toward complex cases and relationship management.
Manual workers: Generative AI has less direct exposure in many physical occupations, although robotics and other forms of automation can still change manufacturing, logistics and construction.
Small-business owners: AI can provide capabilities that were previously expensive or difficult to access. The OECD found that SMEs using generative AI reported benefits in employee performance and helped address skill gaps.
Students and graduates: Entry-level work may change if companies automate some junior tasks. At the same time, AI-related skills and the ability to work effectively with technology could become increasingly relevant.
The Economic Impact of AI on Employment
The economic effects are likely to include both productivity gains and disruption.
An IMF analysis published in January 2024 estimated that almost 40% of global employment is exposed to AI, with exposure reaching about 60% in advanced economies. The IMF stressed that exposure can mean either substitution or complementarity: some workers may benefit from AI-assisted productivity while others may face reduced demand for certain tasks.
The World Economic Forum’s 2025 report projected that broader labor-market trends—not AI alone—could create 170 million jobs and displace 92 million by 2030, producing a projected net increase of 78 million. The estimate incorporates technological change alongside demographic, economic, geopolitical and environmental trends, so it should not be treated as an AI-only forecast.
The distribution of gains is another issue. Workers with access to training and organizations capable of adopting AI effectively may benefit more quickly than workers and businesses facing skills, infrastructure or financial constraints.
What Companies and Governments Are Doing
Reskilling is becoming a major part of the AI transition. The OECD said in April 2025 that training supply may not yet be sufficient to meet the growing demand for general AI literacy.
Governments are responding in different ways. In January 2026, the UK government expanded its AI Skills Boost programme with a target of providing AI skills training to 10 million workers by 2030. The programme reported more than one million completed AI training courses by January 2026.
An OECD/ILO compendium published January 14, 2026, also documented approaches across G7 countries, including AI skills programmes, updated training frameworks and measures intended to make AI adoption more human-centered.
Policy is also increasingly addressing how AI is used at work, including algorithmic management, worker consultation, transparency and accountability.
How Workers Can Prepare for the Future
Workers cannot know exactly which tasks their employers will automate, but several practical steps can reduce the risk of being left behind:
- Learn basic AI tools relevant to your profession.
- Strengthen digital and data literacy.
- Develop communication, critical-thinking and problem-solving skills.
- Follow AI developments in your industry.
- Learn which parts of your job require human judgment and accountability.
- Combine AI capabilities with strong domain expertise.
- Continue learning as tools and workplace expectations change.
No single skill guarantees protection from displacement. The more realistic goal is to remain adaptable as particular tasks, tools and business models evolve.
Frequently Asked Questions
1. Will AI replace most jobs?
Current evidence does not establish that AI will replace most jobs. The ILO’s 2025 research suggests transformation of occupations is more likely than complete replacement because most jobs contain tasks requiring human input.
2. Which jobs are most at risk from AI?
Clerical and highly digitized information-processing occupations have relatively high exposure. Data entry, administrative and routine accounting tasks are examples, although exposure does not mean automatic job elimination.
3. What jobs are likely to grow because of AI?
AI, data, software, cybersecurity and related technical roles are among areas projected to grow. Demand can also increase for professionals who implement and manage AI in specific industries.
4. What skills should workers learn because of AI?
AI literacy, technological literacy, analytical thinking, creativity, adaptability, communication and domain expertise are all relevant.
5. Will AI create more jobs than it destroys?
There is no settled global answer. The WEF projects a net increase of 78 million jobs from broad labor-market trends through 2030, but that is a projection covering multiple drivers rather than an AI-specific prediction.
Conclusion
Artificial intelligence is changing the future of jobs less like a single wave of automation and more like a broad redesign of how work is organized.
Some repetitive tasks are increasingly handled by software. Other tasks are becoming faster with AI assistance, while entirely new responsibilities are emerging around data, AI implementation, cybersecurity and governance. The effects are unlikely to be distributed evenly across occupations, industries or countries.
The ultimate impact of artificial intelligence on jobs will depend not only on what the technology can do, but also on how quickly businesses adopt it, how workers are trained, how education systems respond, what governments regulate and how effectively people and AI systems work together.
