Will AI create or take away more job opportunities?

The question of whether artificial intelligence will create or destroy more jobs is one of the defining economic debates of our time.

The consensus among major economic institutions—including the World Economic Forum (WEF), McKinsey, and Goldman Sachs—is that AI will likely create more jobs than it eliminates, but the transition will cause unprecedented disruption, structural displacement, and a massive skills gap.

The impact of AI on employment is characterized by the following key projections, shifts, and challenges:

1. The Projections: Net Positive, But High "Churn"

While headlines often warn of mass automation, macroeconomic models show that technology historically creates new industries and boosts productivity, which ultimately drives net job growth.

•The World Economic Forum (WEF): In its Future of Jobs Report, the WEF projected that advancements in AI and information processing technology would create 11 million jobs globally while displacing 9 million. However, technology broadly is expected to transform or disrupt up to 1.1 billion jobs over the next decade.

•Goldman Sachs: Research indicates that while roughly 300 million jobs globally are exposed to some degree of AI automation, the firm expects displaced workers to eventually be reabsorbed. Historically, a 5% acceleration in the creation of new types of jobs (driven by AI innovation and increased productivity) is more than enough to offset automation losses.

•McKinsey & Company: McKinsey's research shows AI creating more jobs than automation displaces, but warns of a massive geographical and sectoral mismatch.

2. Jobs at Risk (Displaced by AI)

AI is unique because, unlike the industrial revolutions of the past which automated manual labor, AI primarily automates cognitive, routine, and white-collar tasks. The roles most vulnerable to being downsized or phased out include:

•Administrative and Office Support: Document processing, scheduling, and basic data management (McKinsey notes that up to 80% of hours worked in office support could be automated).

•Customer Service and Telesales: Highly conversational generative AI agents are increasingly handling routine customer inquiries.

•Entry-Level Writing, Design, and Coding: Basic content writing, graphic layout creation, and routine software testing are highly susceptible to generative AI tools.

•Market Research and Sales Representatives: AI tools can analyze market trends and draft sales pitches faster than humans, putting over half of these tasks at risk of automation.

3. Jobs of the Future (Created by AI)

The jobs being created fall into three main categories: technical AI roles, infrastructure support, and uniquely human-centric roles.

•AI and Data Specialists: Rapidly growing demand for AI/Machine Learning engineers, data scientists, prompt engineers, and cybersecurity experts.

•Infrastructure and Blue-Collar Expansion: Building the physical footprint of AI—such as data centers and power grids—is driving a massive boom in construction, electrical engineering, and manufacturing.

•Healthcare and Personal Care: Roles that require physical presence, emotional intelligence, and manual dexterity (like physical therapists, nurses, and social workers) cannot be easily automated and are seeing massive demand.

•Soft-Skill Dominant Roles: Leadership, strategic management, creative direction, and complex human-to-human problem-solving are becoming highly valued premium skills.

4. The True Challenge: The "Transition Gap"

The primary issue is not that there will be fewer jobs in the future, but that the people who lose their jobs are not the same people qualified to take the new ones.

•The Mismatch: An administrative assistant or call center worker displaced by AI cannot easily transition into a data center engineer or a healthcare professional overnight. McKinsey estimates that roughly 11 million Americans (and tens of millions globally) will need to switch occupations entirely by 2035.

•The Death of the "Entry-Level" Job: Traditionally, young graduates learned the ropes of an industry by doing routine, entry-level work (e.g., junior legal research, draft writing, basic coding). As AI automates these junior tasks, the traditional career ladder is breaking, making it harder for entry-level workers to get their foot in the door.

•The Reskilling Crisis: Over 50% of the global workforce will require significant retraining. However, because AI is advancing so rapidly, traditional education and corporate training pipelines are struggling to keep up, creating a "reskilling bottleneck."

Summary

Ultimately, AI will not leave humanity jobless, but it will leave many workers transition-bound. The future workforce will be characterized by "human-led, AI-enabled" teams where productivity gains come from humans orchestrating AI tools rather than being replaced by them. The success of this transition relies heavily on how quickly governments and corporations can build scalable, effective retraining programs to help workers bridge the gap.

Citations (10)

1mckinsey.comCompanies
mckinsey.com
Backs: “The impact of AI on employment is characterized by the following key projections, shifts, and challenges:”
2goldmansachs.comCompanies
goldmansachs.com
Backs: “The impact of AI on employment is characterized by the following key projections, shifts, and challenges:”
3weforum.orgNonprofits and think tanks
weforum.org
Backs: “The impact of AI on employment is characterized by the following key projections, shifts, and challenges:”
4goldmansachs.comCompanies
goldmansachs.com
Backs: “While headlines often warn of mass automation, macroeconomic models show that technology historically creates new industries and boosts productivity, which ultimately drives net job growth. The World Economic Forum (WEF): In its Future of Jobs Report, the WEF projected that advancements in AI and information…”
5weforum.orgNonprofits and think tanks
weforum.org
Backs: “The World Economic Forum (WEF): In its Future of Jobs Report, the WEF projected that advancements in AI and information processing technology would create 11 million jobs globally while displacing 9 million. However, technology broadly is expected to transform or disrupt up to 1.1 billion jobs over the next decade.”
6weforum.orgNonprofits and think tanks
weforum.org
Backs: “The World Economic Forum (WEF): In its Future of Jobs Report, the WEF projected that advancements in AI and information processing technology would create 11 million jobs globally while displacing 9 million. However, technology broadly is expected to transform or disrupt up to 1.1 billion jobs over the next decade.”
7weforum.orgNonprofits and think tanks
weforum.org
Backs: “However, technology broadly is expected to transform or disrupt up to 1.1 billion jobs over the next decade. Goldman Sachs: Research indicates that while roughly 300 million jobs globally are exposed to some degree of AI automation, the firm expects displaced workers to eventually be reabsorbed.”
8iheart.comCompanies
iheart.com
Backs: “Infrastructure and Blue-Collar Expansion: Building the physical footprint of AI—such as data centers and power grids—is driving a massive boom in construction, electrical engineering, and manufacturing. Healthcare and Personal Care: Roles that require physical presence, emotional intelligence, and manual dexterity…”
9reddit.comForums and Q&A
reddit.com
Backs: “Healthcare and Personal Care: Roles that require physical presence, emotional intelligence, and manual dexterity (like physical therapists, nurses, and social workers) cannot be easily automated and are seeing massive demand. Soft-Skill Dominant Roles: Leadership, strategic management, creative direction, and complex…”
10weforum.orgNonprofits and think tanks
weforum.org
Backs: “The Death of the "Entry-Level" Job: Traditionally, young graduates learned the ropes of an industry by doing routine, entry-level work (e.g., junior legal research, draft writing, basic coding). As AI automates these junior tasks, the traditional career ladder is breaking, making it harder for entry-level workers to…”