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AI to Impact 40% of Global Jobs While Creating 170 Million New Roles, IMF Study Reveals

David Wendel Batista
AI to Impact 40% of Global Jobs While Creating 170 Million New Roles, IMF Study Reveals PHOTO BY The Premise News | AI-generated illustrative image.

Nearly 40% of all jobs worldwide are expected to be impacted by artificial intelligence, according to research cited by the International Monetary Fund (IMF). The exposure rate climbs to approximately 60% in advanced economies, while emerging markets face a 40% exposure. Low-income economies show lower direct exposure but struggle to capture the technology's benefits due to limited digital infrastructure and insufficient workforce training. The findings issue a stark warning about the urgent need for adaptation by governments, businesses, and workers globally.

Global Employment at a Crossroads: AI's Transformative Reach

The impact of AI is not limited to absolute job losses or gains. Experts emphasize that the technology often functions as a productivity-enhancing tool rather than fully replacing professionals. Collaboration between humans and intelligent systems is expected to define the future of most occupations, according to recent labor market analyses. The complexity of the phenomenon requires examining both the risks of automation and the opportunities for creating new economic activities.

How many jobs could AI eliminate and create by 2030?

One of the most common misconceptions about AI is that it solely destroys jobs. Projections from the World Economic Forum indicate that roughly 92 million positions could be displaced globally by 2030, while approximately 170 million new roles could be generated in the same period. The net balance would be a gain of about 78 million jobs worldwide. The central challenge, however, is that the new positions often require different skills than those being eliminated.

Which professions are most vulnerable to automation?

AI is particularly efficient at executing repetitive, predictable tasks based on information processing. The most exposed occupations include:

  • Data entry clerks and typists
  • Basic administrative assistants
  • Customer service representatives
  • Routine accounting functions
  • Simple content producers
  • Basic translation tasks
  • Telemarketing operators
  • Junior programmers handling standardized work
  • Document processing professionals

Recent studies also indicate that entry-level and junior positions may face significant disruption, as AI systems take over tasks traditionally assigned to less experienced workers.

Which careers are likely to resist the AI revolution?

Many professions rely heavily on creativity, emotional intelligence, leadership, physical interaction, and complex decision-making. Careers considered more resilient include:

  • Physicians and healthcare specialists
  • Nurses and caregivers
  • Psychologists and therapists
  • Teachers and educators
  • Scientists and researchers
  • Engineers
  • Skilled trades professionals
  • Senior executives
  • Entrepreneurs
  • Creative directors

Most of these professionals are expected to use AI extensively but maintain an irreplaceable human role at the core of their activities.

Regional Transformations and the Uneven Adoption of AI

The United States remains one of the world's leading centers of AI innovation. Major technology companies continue to invest billions of dollars in AI infrastructure, advanced language models, data centers, and cutting-edge semiconductors. American firms increasingly use AI tools for software development, customer service, marketing, finance, and research. Studies suggest that the technology is not only altering job requirements but also reshaping hiring patterns, particularly for entry-level and routine knowledge work. At the same time, demand for AI engineers, machine learning specialists, cybersecurity professionals, cloud architects, and data scientists continues to expand.

European countries are focusing on balancing technological innovation with worker protection. A recent survey across 35 European nations found that AI adoption is expanding rapidly, albeit unevenly across countries and sectors. Adoption rates range from below 3% to as high as 25%, depending on the country and industry. European policymakers are investing heavily in workforce training, digital skills development, and AI regulation. Employers across Europe project strong growth in technology-related hiring, despite concerns about skills shortages and cybersecurity risks.

China has emerged as one of the most aggressive adopters of artificial intelligence. Under national initiatives promoting AI integration across all sectors, Chinese companies are rapidly deploying AI systems in technology, manufacturing, marketing, media, and services. Reports indicate that AI-related job postings in China increased by approximately 74% during 2025. However, some sectors are simultaneously experiencing workforce reductions as automation becomes more widespread. Many Chinese workers report growing concerns about job security as AI systems perform tasks previously done by humans.

India occupies a unique position in the global AI transformation. With one of the largest populations of software engineers, technology professionals, and digital entrepreneurs, the country has significant opportunities to benefit from AI-driven growth. Government initiatives, startup ecosystems, and private-sector investments are accelerating AI adoption in healthcare, education, agriculture, finance, and public services. Many analysts believe India could become one of the biggest beneficiaries of AI-related economic expansion, provided workforce development keeps pace with technological change.

Economic Implications and the Future of Work

What is the economic potential of artificial intelligence?

The economic potential of AI is immense. According to McKinsey research, generative AI alone could contribute between US$2.6 trillion and US$4.4 trillion annually to the global economy through productivity gains and business transformation. The impact spans sectors including:

  • Banking
  • Healthcare
  • Retail
  • Manufacturing
  • Education
  • Software development
  • Logistics
  • Customer service
  • Research and development

Analysts compare the scale of AI's potential impact to previous technological revolutions such as electricity, the internet, and industrial automation.

Can artificial intelligence increase workers' salaries?

In many cases, yes. Workers who successfully integrate AI into their daily routines often achieve higher productivity levels, making them more valuable to employers. Demand for specialized AI knowledge has increased substantially in global labor markets. Skills related to machine learning, prompt engineering, AI implementation, cybersecurity, cloud computing, and data science typically command premium salaries. Conversely, workers in roles heavily exposed to automation may face wage pressure if their skills become less valued.

What AI skills will be in high demand?

Employers worldwide are increasingly seeking professionals with skills in:

  • Artificial Intelligence
  • Machine Learning
  • Prompt Engineering
  • Data Science
  • Cybersecurity
  • Cloud Computing
  • Software Engineering
  • Data Engineering
  • Automation Systems
  • AI Governance

A study analyzing over 150,000 job advertisements found rapid growth in demand for AI-related competencies, while routine tasks are declining in importance.

Will AI cause a productivity boom?

Many economists believe AI could trigger one of the largest productivity increases in modern history. Generative AI has the potential to automate activities that currently consume between 60% and 70% of employee time in many occupations. This could allow workers to focus more on strategic thinking, creativity, innovation, and complex problem-solving. Some organizations already report significant efficiency gains from AI adoption, though implementation and oversight challenges remain.

What are the main risks and challenges for workers?

Despite the benefits, AI presents several challenges. These include:

  • Job displacement
  • Skills obsolescence
  • Income inequality
  • Reduced opportunities for entry-level positions
  • Workforce polarization
  • Privacy concerns
  • Algorithmic bias
  • Cybersecurity risks

IMF Managing Director Kristalina Georgieva warned policymakers not to underestimate potential public backlash if the benefits of AI are distributed unequally across society.

Frequently Asked Questions

Will AI replace programmers?

AI can automate parts of coding work, but demand for software engineers capable of designing systems, solving complex problems, and overseeing AI-generated code remains strong.

Will AI replace teachers?

AI can support education, but human educators remain essential for mentorship, emotional support, classroom management, and critical thinking development.

Will AI replace doctors?

AI is becoming a powerful diagnostic tool, but healthcare professionals still play a central role in patient care and clinical decision-making.

What jobs will AI create?

New opportunities are emerging in AI development, machine learning, robotics, cybersecurity, data science, AI ethics, and digital infrastructure.

Should students learn AI?

Many experts believe that AI literacy will become as important as digital literacy in the coming decades.

The Premise News Editorial View: Artificial intelligence is not merely another technological trend; it is consolidating as a structural force reshaping economies, industries, and labor markets on a global scale. What is at stake goes beyond job substitution — it concerns the very organization of work and the distribution of value in an increasingly automated economy. The central tension revealed by the data is that although the net employment balance may be positive, the transition will be profoundly uneven, benefiting skilled workers and advanced economies while leaving behind those with limited access to retraining. Readers should closely monitor professional training policies and digital infrastructure investments, as these factors will determine who captures the gains from the AI revolution. The true test will not be technological but social: can societies manage this transformation with equity? The answer will define the labor market for generations to come.

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