Will AI create or take away more job opportunities?

Will AI create or destroy more jobs? I'll pull the latest forecasts to compare creation versus displacement.

The short answer from the major forecasts is: AI will do both - but globally, it is projected to create more jobs than it displaces by 2030, with very significant churn and inequality in between.

What the major forecasts say

The most cited global forecast is the World Economic Forum's Future of Jobs Report 2025:

> AI and other structural shifts will displace 92 million jobs by 2030, while creating 170 million new ones; that's a net gain of 78 million jobs worldwide.

The same figures appear in the WEF's global employer survey of 1,000+ employers across 55 economies:

> 92 million jobs displaced, but 170 million created — a net gain of 78 million.

And summarized elsewhere as:

> 92 million roles displaced and 170 million created globally by 2030 — a net gain of 78 million jobs.

The report anticipates that by 2030, AI and other information processing technologies will transform 86% of businesses, constituting a structural labour market churn of 22% of the 1.2 billion formal jobs studied.

Other institutions frame the risk differently:

Jobs AI is expected to take away - or heavily transform

Not entire professions, but specific tasks. AI is "very unlikely to wipe out entire professions. Right now, AI is automating specific job responsibilities"

Highest exposure tends to share:

BLS high/very-high exposure roles cited in 2025-2035 projections include: data entry keyers, word processors and typists (decline over 34% by 2035), telephone and switchboard operators, bookkeeping clerks, computer programmers, receptionists, customer service reps, retail sales, and graphic designers.

Forrester's AI Job Impact Forecast estimates AI will account for around 6% of job losses in the US between 2025 and 2030, equating to around 10.4 million roles, but still calls this a "real but modest impact" and says the more realistic scenario is that AI will "augment" one in five roles.

Employers themselves are split: 41% of employers worldwide plan to reduce their workforce over the next five years due to AI, yet actual AI-attributed layoffs remain small so far - about 54,836 in 2025 in the US, about 4.5% of total announced cuts that year.

Past automation hit blue-collar manufacturing; generative AI disproportionately hits white-collar, office and administrative support (46% of tasks automatable), legal (44%), architecture and engineering (37%).

Jobs AI is expected to create

> While some traditional jobs may decline, AI is already generating careers that barely existed a few years ago. ... Examples include: AI Prompt Engineer, AI Workflow Designer, AI Content Strategist, AI Ethics Consultant, AI Trainer

Specifically:

Historical precedent is often cited: over 85% of U.S. employment growth since 1940 has come from technology-driven job creation, and that 60% of U.S. workers today are in occupations that did not exist in 1940.

Forecasters also note that AI raises productivity and creates demand elsewhere: wages in AI-exposed industries grow twice as fast (16.7% versus 7.9%) and productivity growth in those industries nearly quadrupled from 7% to 27% between 2018 and 2024, according to PwC analysis.

Why "net gain" does not mean painless

Bottom line

If forecasts hold, AI will not create a jobs apocalypse in aggregate - it will create more formal jobs than it destroys over the next 5-7 years. But it will take away or profoundly change a large share of existing tasks, especially routine, text- and data-heavy white-collar work.

Whether AI creates or takes away opportunities for you depends less on your job title and more on:

In practice, most people's jobs will be transformed - AI takes away parts of the job, and creates new parts to learn.