AI and jobs in arts, entertainment, and recreation
How exposed the jobs in arts, entertainment, and recreation are to AI, which of them AI can do most of, and which most need a human.
Jobs in arts, entertainment, and recreation have an average Still needs a human score of 75.3 out of 100 (higher is safer), 1.3 points above the average for all jobs of 74.0 and 17th of 37 among the sectors (1st is least exposed). The largest job here is amusement and recreation attendants (301,000 workers, 77/100 ↑ safer), and of the jobs more common here than across the economy, customer service representatives is the most exposed (51/100 ↑ safer).
Average Still needs a humanOur headline score for each job, from 0 to 100. Higher is safer: AI can do less of the work, or does it less well.It combines how much of the job AI can do with how well AI does it compared with a qualified person, and it is always shown beside those answers.How the score works · More in the glossary score
75.3/100↑ safer
1.3 points above the average for all jobs (74.0). Sectors range from 59.8 to 80.0.
Workers in jobs scoring under 60People whose job scores below 60 out of 100 on Still needs a human, where AI can already do much of the work.More in the glossary
5.0%
About 131,752 people, in jobs where AI can already do much of the work.
Businesses using AIThe share of businesses that told a US Census Bureau survey they had used AI in their work in the past two weeks.The adoption tracker · More in the glossary
19.1%
Census Bureau survey; all businesses 22.4%.
Projected jobs, 2025–35The US government’s estimate of how much a job will grow or shrink over ten years, from the Bureau of Labor Statistics.More in the glossary
+5.7%
Bureau of Labor Statistics projections for the whole sector.
How the work here could shift
The share of workers in this sector whose job would sit in each band, from today to 2060.
Today
29%
of workers in this sector are in jobs that mostly need a person (our top band, Nah.)
0% are in jobs AI could largely do (Largely.)
By 2045
6%
of workers in this sector would still be in jobs that mostly need a person (our top band, Nah.)
56% would be in jobs AI could largely do (Largely.)
By 2060
6%
of workers in this sector would still be in jobs that mostly need a person (our top band, Nah.)
90% would be in jobs AI could largely do (Largely.)
Each job's score moves towards the bottom band (Largely: AI could largely do the job) by the year it could be largely automated, slowly at first and faster later, as adoption usually goes. Each job is run as ten scenarios across its replacement range, so every figure mixes early and late outcomes. The model stops at 2060. How the timeline works
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of workers in this sector whose job would sit in each band, year by year. Updated with every release.Show the data
Year
Largely
Mostly
Partly
A little
Nah
Today (2026)
0.0%
0.0%
5.0%
65.6%
29.4%
2030
0.0%
2.0%
19.7%
63.9%
14.4%
2035
10.2%
17.4%
36.2%
29.9%
6.3%
2040
29.0%
31.8%
26.3%
6.7%
6.1%
2045
55.8%
25.7%
8.7%
3.6%
6.1%
2050
72.1%
17.5%
0.7%
3.5%
6.1%
2055
86.7%
3.6%
0.0%
3.5%
6.1%
2060
89.6%
0.7%
0.0%
3.5%
6.1%
The largest jobs in arts, entertainment, and recreation
The average weights every job's Still needs a human score by how many people do it in this sector, from the Bureau of Labor Statistics' industry employment data. Jobs cover 98.0% of the sector's employment.
Job scores are national: an accountant in retail scores the same as an accountant anywhere. The sector figure reflects its mix of jobs, not how its employers use AI; the Census figure shows that.