Will AI create or take away more job opportunities?

The impact of Artificial Intelligence (AI) on the job market is one of the most significant economic questions of our time. Based on data and projections from leading economic institutions (such as the World Economic Forum, McKinsey, and Goldman Sachs), the consensus is that AI will likely do both: it will displace millions of jobs, but it is projected to create even more new opportunities, resulting in a net positive over the long term.

However, this "net positive" comes with a major catch: a massive skills gap and transition pain for workers who must adapt to entirely new roles.

1. Jobs Being Displaced (The "Take Away")

AI is highly efficient at automating routine, repetitive, and cognitive tasks. The jobs most vulnerable to displacement are not just blue-collar roles, but increasingly white-collar, clerical, and entry-level positions:

•Clerical and Administrative Roles: Data entry, scheduling, customer support, and basic back-office operations are highly exposed to automation.

•Entry-Level and Junior Positions: Goldman Sachs research shows that junior and entry-level workers are experiencing the strongest hiring headwinds. Tasks traditionally used to train fresh graduates—such as writing basic code, drafting standard legal documents, or conducting initial market research—are now easily handled by AI.

•Content and Information Services: Basic translation, graphic design, and routine copywriting have already seen immediate impacts.

•The Scale: McKinsey estimates that by 2035, automation could reduce labor demand by the equivalent of roughly 36 million jobs in the U.S. alone. Globally, the World Economic Forum (WEF) predicts that AI and information technologies could displace around 9 million jobs by 2030.

2. Jobs Being Created (The "Create")

Historically, every major technological revolution (from the steam engine to the internet) has created far more jobs than it destroyed. Goldman Sachs notes that roughly 85% of employment growth over the last 80 years has been driven by the technological creation of entirely new positions.

•Direct Tech Roles: There is an insatiable demand for AI machine learning engineers, data scientists, cybersecurity specialists, AI ethicists, and prompt engineers.

•Productivity-Driven Expansion: A recent Yale School of Management study found that firms adopting AI do not necessarily just fire people. Instead, AI makes these firms more productive, lowering their costs and increasing sales, which ultimately allows them to expand their overall workforces.

•The Scale: McKinsey projects that growth in the AI value chain and the broader, more productive economy could generate demand for more than 40 million new jobs over the next decade. The WEF predicts that while AI will displace 9 million jobs, it will directly create 11 million new ones by 2030 (a net gain of 2 million jobs).

3. The Shift: Augmentation vs. Substitution

Most workers will not lose their jobs to AI; rather, their jobs will change.
Industry analyses show that while full substitution (AI replacing a human entirely) is relatively rare, augmentation (AI assisting a human) is the dominant trend:

•Boston Consulting Group (BCG) estimates that 50% to 55% of jobs will be reshaped by AI, where workers keep their roles but must learn to use AI tools to remain productive.

•Only 10% to 15% of jobs are expected to be fully eliminated.

•In practice, AI takes over the tedious "coordination" tasks (like email triage, data sorting, and scheduling), leaving humans with more time to focus on strategic, creative, and empathetic aspects of their roles.

4. The Core Challenge: The "Transition Gap"

The primary concern is not a lack of jobs, but a skills mismatch. The people losing their jobs to AI may not immediately have the skills required to fill the newly created AI-era roles.

•The Reskilling Crisis: The WEF estimates that 59 out of every 100 workers will require substantial reskilling by 2030.

•Occupational Shifts: McKinsey estimates that at least 11 million U.S. workers in declining occupations will need to transition to entirely new fields over the next decade—a workforce transformation of unprecedented scale.

Summary

Ultimately, AI will create more opportunities than it destroys, but those opportunities will look radically different from the jobs of today. The future job market will reward those who view AI as a collaborative tool rather than a competitor. For individuals, the key to job security is "upskilling" in areas AI cannot easily replicate: critical thinking, complex problem-solving, leadership, and emotional intelligence.

Citations (10)

1facebook.comSocial media and video
facebook.com
Backs: “Based on data and projections from leading economic institutions (such as the World Economic Forum, McKinsey, and Goldman Sachs), the consensus is that AI will likely do both: it will displace millions of jobs, but it is projected to create even more new opportunities, resulting in a net positive over the long term.”
2usecarly.comCompanies
usecarly.com
Backs: “Based on data and projections from leading economic institutions (such as the World Economic Forum, McKinsey, and Goldman Sachs), the consensus is that AI will likely do both: it will displace millions of jobs, but it is projected to create even more new opportunities, resulting in a net positive over the long term.”
3facebook.comSocial media and video
facebook.com
Backs: “However, this "net positive" comes with a major catch: a massive skills gap and transition pain for workers who must adapt to entirely new roles.”
4mckinsey.comCompanies
mckinsey.com
Backs: “However, this "net positive" comes with a major catch: a massive skills gap and transition pain for workers who must adapt to entirely new roles.”
5goldmansachs.comCompanies
goldmansachs.com
Backs: “Entry-Level and Junior Positions: Goldman Sachs research shows that junior and entry-level workers are experiencing the strongest hiring headwinds.”
6goldmansachs.comCompanies
goldmansachs.com
Backs: “Content and Information Services: Basic translation, graphic design, and routine copywriting have already seen immediate impacts. The Scale: McKinsey estimates that by 2035, automation could reduce labor demand by the equivalent of roughly 36 million jobs in the U.S.”
7nexford.eduAcademic
nexford.edu
Backs: “Direct Tech Roles: There is an insatiable demand for AI machine learning engineers, data scientists, cybersecurity specialists, AI ethicists, and prompt engineers. Productivity-Driven Expansion: A recent Yale School of Management study found that firms adopting AI do not necessarily just fire people.”
8yale.eduAcademic
yale.edu
Backs: “Productivity-Driven Expansion: A recent Yale School of Management study found that firms adopting AI do not necessarily just fire people. Instead, AI makes these firms more productive, lowering their costs and increasing sales, which ultimately allows them to expand their overall workforces.”
9cfodive.comNot yet classified
cfodive.com
Backs: “Instead, AI makes these firms more productive, lowering their costs and increasing sales, which ultimately allows them to expand their overall workforces. The Scale: McKinsey projects that growth in the AI value chain and the broader, more productive economy could generate demand for more than 40 million new jobs over…”
10bcg.comCompanies
bcg.com
Backs: “Industry analyses show that while full substitution (AI replacing a human entirely) is relatively rare, augmentation (AI assisting a human) is the dominant trend: Boston Consulting Group (BCG) estimates that 50% to 55% of jobs will be reshaped by AI, where workers keep their roles but must learn to use AI tools to…”