AI & JOBS · EMPLOYMENT INTELLIGENCE

How is AI changing work?

Explore measurable US occupational changes, global directional outlooks, and potential career pathways. Employment change is not necessarily caused by AI.

OBSERVED DATA ≠ AI CAUSATION

Explore the evidence, not just the headlines.

Compare published occupational projections with research on AI exposure, hiring, adoption and productivity. Forecasts are not observed job losses; scenario outputs are not predictions.

Explore jobs ↓Read the evidence ↓Model scenarios ↓
GLOBAL JOBS CREATED BY 2030 · WEF170M
GLOBAL JOBS DISPLACED BY 2030 · WEF92M
NET CHANGE BY 2030 · WEF+78M
The WEF totals span multiple economic and technological trends. They are not AI-only effects, and they cannot be allocated to continents or individual occupations from this dataset. Occupation directions are qualitative, not job-count estimates.
NEW · AI & JOBS EXPLAINED

Every number has a story.

Hover over an occupation to see the documented employment drivers, where AI may affect its tasks, and what the projection does not establish. Tap a role to pin its explanation.

● Employment outlook● AI task implications● Other economic drivers● Source & evidence limits
NEW · AI CAREER MAP

How will AI change your career?

Explore AI task exposure alongside the U.S. employment outlook, then open a career profile to see resilience dimensions, task impact and possible pathways.

Right = more GenAI task exposureUp = stronger BLS employment outlookBubble size = projected net job change

BLS outlook uses published 2024–2034 major occupational-group projections. AI exposure and resilience dimensions are DataEnvision research indicators informed by the ILO 2025 task-exposure framework and occupational task characteristics; they are not measured probabilities of automation or displacement.

NEW · AI CAREER ADVISOR

Build your AI-ready career plan

Explore an occupation, compare career directions and generate a practical 90-day learning plan. Advice is illustrative and does not guarantee employment.

Career directions are examples, not current job openings. Suggested skills and timelines are editorial guidance, not measured hiring probabilities. Employment outlooks below are broad occupational-group projections, not forecasts for the named specialization.

US occupational employment change

2024

Projected employment changes by occupation. Bars show cumulative net change in thousands of jobs; intermediate years are linear interpolation between published BLS endpoints.

↗ Projected growth↘ Projected declineBar length = absolute net change · color = sector

BLS published 2024–2034 endpoints; intermediate years are modeled interpolation, not official annual forecasts. Changes are not attributable solely to AI.

Hover over or select a role to explore its employment drivers and AI-related task changes.
EXPLORE THE MECHANISM

What changes inside a job?

Select a broad occupational group to explore example tasks AI may assist and work that still requires human oversight. These are qualitative illustrations, not measured automation rates.

A DIFFERENT PERSPECTIVE

Growth rate vs. number of jobs added

Each dot is a U.S. broad occupational group. Horizontal position is the BLS projected percentage change, vertical position is projected net jobs added or lost (thousands). Hover or select a dot for the explanation. This is not a numerical AI-exposure chart.

Source: existing BLS 2024–2034 broad occupational-group dataset · Both axes show projections, not observed AI-caused changes.

↗ Growing occupational groups

↘ Declining occupational groups

✦ New & emerging roles

Emerging specializations and hypothetical future roles are labeled separately. No invented job counts.

Regional evidence and data limitations

The current dataset does not provide consistent continent-by-occupation employment projections. Selecting a continent shows this coverage gap rather than attributing global totals to a region. A future regional map will require verified regional occupation data with compatible classifications and forecast horizons.

AI exposure is not job displacement: occupation-level exposure measures must be sourced and joined independently before displaying numerical exposure scores.

RESEARCH EXPLAINER

What do the labor-market data actually show?

Research summaries describe findings from specific studies and periods; they are not continuously updated economic indicators.

01 · EXPOSURE

Exposure is not displacement

An occupation may contain tasks AI can perform without experiencing job losses. Compare actual employment trends separately from AI capability estimates.

02 · EARLY CAREERS

Watch entry-level hiring

Some research identifies employment pressure among younger workers in AI-exposed occupations. Interest rates, pandemic-era hiring and other factors complicate causal attribution.

03 · PRODUCTIVITY

Gains vary by task

Controlled studies report productivity gains in selected customer-service and coding tasks; these are not economy-wide averages or guarantees for every worker.

04 · ADOPTION

Usage is not transformation

Employees trying AI tools and firms redesigning their operations are different measures. Survey definitions and populations matter.

Further reading: Stanford SIEPR: What is really happening to jobs? ↗

INTERACTIVE · HYPOTHETICAL

Future of Work scenario explorer

Explore how changing assumptions changes a hypothetical workforce. This calculator is not an employment forecast, and it does not estimate actual AI-caused job losses.

ILLUSTRATIVE SCENARIO RESULT100,000Modeled jobs after applying your assumptions

Change from starting workforce: 0 jobs (0.0%).

Formula: starting jobs × [AI-assisted share × (1 + AI-assisted demand change) + remaining share × (1 + other demand change)]. Assumptions are user-selected, not empirically estimated; productivity gains do not automatically imply proportional job losses.

Sources: WEF Future of Jobs 2025 ↗ · BLS 2024–2034 projections ↗ · ILO AI exposure research ↗. Global totals and US net occupational changes are not directly comparable.