Gitnux/Report 2026

Upskilling and Reskilling in the Movie Industry Statistics

While 76% of organizations say they need to train employees to use generative AI tools, the page shows who will feel the pressure first as 31.6% of U.S. workers in the bottom 25% earnings bracket face high automation risk and demand for digital and AI enabled production skills accelerates. You will also see how budgets and capacity are scaling with U.S. employers spending $83.1 billion on training and development in 2023 and enterprise AI software spending projected to reach $267.5 billion in 2025, mapping practical upskilling and reskilling pathways for film and TV work.
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July 9, 2026Updated
Upskilling and Reskilling in the Movie Industry Statistics
Felix ZimmermannWritten by Felix Zimmermann·Edited by Stefan Wendt·Fact-checked by Abigail Foster
Published ·Updated
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76% of organizations say they need to train employees to use generative AI tools, a direct signal that film and TV crews need new technical skills fast. Reskilling pressure is uneven, with 31.6% of U.S. workers in the bottom quarter of earnings facing high automation risk. This article maps the workforce, training, and technology statistics shaping hiring and skill demand across movie production.

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

01 · Category

Workforce Impact7 stats

01
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[1]
02
54% of employees will need reskilling by 2022, per estimates summarized in the World Economic Forum’s Future of Jobs Report 2018[2]
03
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[3]
04
546,200 job openings are projected in the U.S. for ‘web developers’ from 2022–2032, indicating continued demand for digital skills relevant to digital post-production and online distribution[3]
05
8.2% of the U.S. labor force worked in ‘education and training’ roles in 2023, a sector that supports the upskilling infrastructure used by industries including audiovisual production[3]
06
2.6% unemployment rate in the U.S. as of April 2024 (U-3), affecting labor markets and the urgency/availability of reskilling transitions[3]
07
4.8% unemployment rate in the Euro Area as of March 2024, influencing workforce mobility and training investment across member-state labor markets including creative industries[4]
Interpretation

Workforce Impact Interpretation

With 31.6% of low earners in the U.S. at high risk of automation and 54% of employees expected to need reskilling by 2022, the workforce impact for the movie industry is that digital and technical skill shifts must be scaled quickly and unevenly to prevent vulnerable workers from falling behind.

02 · Category

Skill Demand Drivers3 stats

01
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[5]
02
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[6]
03
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[7]
Interpretation

Skill Demand Drivers Interpretation

Across the movie industry, skill demand is being accelerated by AI adoption, with 76% of organizations needing generative AI training and AI-related job postings rising 2.2x versus 2017 to 2020, while 22% of global respondents report using AI tools at work in the last month.

03 · Category

Market & Economics5 stats

01
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[5]
02
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[3]
03
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[8]
04
Enterprise spending on ‘AI software’ is projected to grow to $267.5 billion in 2025 (Gartner forecast), increasing budgets for training on AI-enabled production tools[5]
05
The U.S. ‘Computer Systems Design’ industry employed about 3.0 million workers in 2023 (BLS), a sector supplying technical services that often requires ongoing reskilling[3]
Interpretation

Market & Economics Interpretation

With U.S. employers investing $83.1 billion in training and development in 2023 and global public cloud end user spending projected to hit $679.0 billion in 2024, the market and economics behind upskilling and reskilling in the movie industry are being driven by rapidly growing budgets and scalable training infrastructure.

More related reading

04 · Category

Training & Programs5 stats

01
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[9]
02
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[10]
03
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[11]
04
For formal training programs, 60% of learning transfer is attributed to manager support in a meta-analysis, reinforcing the need for managerial training to improve reskilling effectiveness[12]
05
Learning interventions that include practice and feedback improve skills retention by 6–10 percentage points in controlled studies summarized by the OECD, supporting structured training designs[13]
Interpretation

Training & Programs Interpretation

In the movie industry’s Training and Programs space, organizations increasingly rely on external upskilling and reskilling, with 44% using outside providers and learning programs that include practice and feedback boosting retention by 6 to 10 percentage points, supported by large-scale efforts like 1,000+ training hours from major academies and 10,000+ employees certified by vendors in 2023.

05 · Category

Adoption & Outcomes3 stats

01
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[14]
02
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[5]
03
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[15]
Interpretation

Adoption & Outcomes Interpretation

Under the Adoption & Outcomes angle, broad streaming adoption is rising, with 56% of U.S. adults using streaming video services in 2023, while 9% of companies are already using virtual assistants or automation for HR and learning, and the overall impact of training is meaningful as meta analytic results show an average effect size of d=0.47 on job performance.
report visual · Comparison

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.

76% of organizations say they need to train employees to use generative AI tools, reflecting near-term upskilling requir76%
22% of global respondents indicate they used ‘AI tools’ in the last month for work-related tasks (2023 survey), showing
22%
2.2x the number of ‘AI-related’ job postings compared to 2017–2020 levels in 2023 (LinkedIn Economic Graph analysis), si
2.2
source-verifiedgartner.com · microsoft.com · linkedin.com2023
Reference

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APA
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
MLA
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.
Chicago
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

15 sources cited across this report

  1. oxfordmartin.ox.ac.uk
  2. weforum.org
  3. bls.gov
  4. ec.europa.eu
  5. gartner.com
  6. microsoft.com
  7. linkedin.com
  8. marketsandmarkets.com
  9. netflix.com
  10. autodesk.com
  11. atd.org
  12. journals.sagepub.com
  13. oecd.org
  14. pewresearch.org
  15. sciencedirect.com