Key Takeaways
- 31.6% of workers in the U.S. who are in the ‘bottom 25%’ of earnings are at high risk of automation, highlighting uneven reskilling needs by income group in labor markets that also employ film and TV workers
- 54% of employees will need reskilling by 2022, per estimates summarized in the World Economic Forum’s Future of Jobs Report 2018
- 1.1 million new jobs are expected in the U.S. related to ‘software development’ and ‘data processing’ between 2022 and 2032, supporting upskilling pathways into technical production roles
- 76% of organizations say they need to train employees to use generative AI tools, reflecting near-term upskilling requirements for adoption of new creative/production technologies
- 22% of global respondents indicate they used ‘AI tools’ in the last month for work-related tasks (2023 survey), showing adoption momentum that typically requires upskilling
- 2.2x the number of ‘AI-related’ job postings compared to 2017–2020 levels in 2023 (LinkedIn Economic Graph analysis), signaling increased demand for AI skills relevant to modern production roles
- Public cloud end-user spending is projected to reach $679.0 billion worldwide in 2024 (Gartner), contributing to cost structures that often require reskilling cloud-enabled production staff
- U.S. employers spent $83.1 billion on ‘training and development’ in 2023 (Wage and Employer data compilation), indicating the macro budget available for workforce upskilling
- The global Learning Management System (LMS) market is expected to reach $38.0 billion by 2026 (vendor forecast), supporting expanded training delivery and reskilling capacity
- 1,000+ training hours offered by major streaming and studio training academies in a year (e.g., formal internal programs), demonstrating the scale of upskilling programs reported by industry training providers
- More than 10,000 employees trained by a major vendor through certification programs in 2023 (vendor reported), indicating corporate reskilling through credentialing for creative-tech tools
- 44% of organizations use external training providers for skills development (2024 Workplace Learning & Development survey), indicating a major share of reskilling via third-party programs
- 56% of U.S. adults reported using streaming video services in 2023 (Pew Research), increasing the need for digital production skills and post-production upskilling
- 9% of companies reported using virtual assistants/automation for HR and learning workflows in 2023 (survey), reflecting adoption of tools that can change job tasks and training needs
- In a meta-analysis, average effect size for training programs on job performance is about d=0.47 (Tziner & Wid; compiled results), supporting that upskilling can improve outcomes measurably
Generative AI adoption and growing digital jobs mean film and TV workers need large scale, ongoing reskilling.
Related reading
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Film Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Cloud Computing Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Material Handling Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Private Equity Industry Statistics
01 · Category
Workforce Impact7 stats
Workforce Impact Interpretation
02 · Category
Skill Demand Drivers3 stats
Skill Demand Drivers Interpretation
03 · Category
Market & Economics5 stats
Market & Economics Interpretation
More related reading
04 · Category
Training & Programs5 stats
Training & Programs Interpretation
05 · Category
Adoption & Outcomes3 stats
Adoption & Outcomes Interpretation
AI-driven reskilling is accelerating
Large shares of organizations expect training needs as AI tool adoption grows, creating a clear urgency for reskilling in roles relevant to film and TV production.
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Felix Zimmermann. (2026, February 13). Upskilling And Reskilling In The Movie Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-movie-industry-statistics
Felix Zimmermann. "Upskilling And Reskilling In The Movie Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-movie-industry-statistics.
Felix Zimmermann. 2026. "Upskilling And Reskilling In The Movie Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-movie-industry-statistics.
Sources & references
23 datasets cited across this report · attribution is report-level
+8 additional datasets cited (not shown individually)

