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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
Entertainers and Performers, Sports and Related Workers, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 3 sources.
The career of entertainers and performers, including athletes, is labeled as "Mostly Resilient" because it relies on unique human skills like creativity, emotion, and physical talent that AI struggles to replicate. While AI can assist with tasks like data analysis and injury prevention behind the scenes, it doesn't replace the need for human performers on stage or athletes on the field.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
The career of entertainers and performers, including athletes, is labeled as "Mostly Resilient" because it relies on unique human skills like creativity, emotion, and physical talent that AI struggles to replicate. While AI can assist with tasks like data analysis and injury prevention behind the scenes, it doesn't replace the need for human performers on stage or athletes on the field.
Read full analysisAnalysis of Current AI Resilience
Entertainers & Performers
Updated Quarterly • Last Update: 2/18/2026

Entertainment performers and athletes use skills that are hard for AI to mimic. These jobs rely on creativity, emotion and physical talent, so there are few clear examples of complete automation [1] . Instead, AI mainly helps behind the scenes.
For example, sports teams use AI to analyze outcomes and player health, but they still need coaches and players on the field. An NFL “Digital Athlete” system uses AI to study players’ movements and try to reduce injuries [2]. Similarly, NBA teams (like the San Antonio Spurs) have begun using ChatGPT and other AI tools for data analysis and fan outreach [3].
These tools augment the work but do not replace the human athletes or performers. Even in film and music, directors warn against fully replacing actors with AI – James Cameron has called AI-created actors “horrifying” because they lack true human expression [4]. In short, while technology aids production (for example, CGI or editing), the core performing and sports tasks remain in human hands [1] .

Adoption of AI in entertainment and sports is cautious. Big organizations and studios can afford to experiment with AI (for example, a university sports research center partnered with Amazon Web Services to apply AI in athlete training ), but smaller acts or teams may not have the money or expertise. The economic benefit is not always clear, since audiences still value real human performers and games.
Some stories note that many creators see AI as a helpful tool, not a replacement – “an ally, not an adversary” – emphasizing human creativity . Social and legal concerns also slow adoption. For instance, entertainment unions now require performers’ permission before using AI on their likeness , and audiences may balk at fully AI-generated shows.
Even a minor-league baseball team’s experiment with an AI coach was treated as a one-time curiosity . In summary, AI technology is available and sometimes used for analysis or support, but high costs, human-focused skills, and ethical considerations mean that true automation in performing arts and sports is progressing slowly .

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They entertain or inspire audiences by performing unique acts or supporting sports events, bringing excitement and enjoyment to people.
Jobs (2024)
35,800
Growth (2024-34)
+6.0%
Annual Openings
4,400
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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