Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

55.8%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:

Low

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Entertainers and Performers, Sports and Related Workers, All Other

They entertain or inspire audiences by performing unique acts or supporting sports events, bringing excitement and enjoyment to people.

This role is evolving

This career is labeled as "Evolving" because AI is gradually being introduced to assist with behind-the-scenes tasks, like analyzing sports data and enhancing fan experiences, but it hasn't replaced the core roles of entertainers and athletes. While AI can support and improve certain aspects of production, the unique human qualities of creativity, emotion, and physical talent are still essential and irreplaceable in live performances and sports.

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84.4%

Althoff & Reichardt

Economic Growth

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Changing fast

27.2%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

6.0%

Growth Percentile:

80.6%

Annual Openings:

4,400

Annual Openings Pct:

37.2%

Analysis of Current AI Resilience

Entertainers & Performers

Updated Quarterly • Last Update: 2/18/2026

Analysis

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What's changing and what's not

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] .

Sources

[1]bls.gov

[2]apnews.com

[3]axios.com

[4]techradar.com

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AI in the real world

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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