Consultancy Circle

Artificial Intelligence, Investing, Commerce and the Future of Work

AI and Creativity: Unseen Conflicts in Hollywood’s Future

As generative artificial intelligence (AI) continues to disrupt industries, nowhere is its impact more polarizing than Hollywood. Long considered the global capital of human creativity, America’s film and television industry now finds itself at a critical junction. Behind the glitz and glamour, executives, writers, and actors are quietly grappling with profound questions: Can machine intelligence truly create meaningful art? Who owns the rights to synthetic content? And what happens to human labor when algorithms start to tell stories? In light of the 2023 WGA and SAG-AFTRA strikes and amid the rise of platforms like ChatGPT and Sora, Hollywood’s future may pivot less on budgets and box office numbers and more on ethical, artistic, and legal battles with technology.

The Rise of Generative AI in Content Development

In recent years, the entertainment industry has embraced AI with increasing aggression. From screenwriting assistance to voice cloning, deepfake visual effects to automatic video editing, the tools are improving with startling speed. OpenAI’s launch of Sora in February 2024 marked a milestone, as it allows users to generate near-cinematic video content from text prompts. With capabilities like scene composition, camera motion emulation, and actor movement accuracy, Sora effectively condenses weeks of VFX work into minutes.

Meanwhile, text-generating AIs like ChatGPT and Google’s Gemini have been leveraged to write speculative scripts. While studios are cautionary in their approach—for now—there are undeniable cost incentives. According to McKinsey, the average cost of writing a feature film ranges from $100,000 to $500,000. Generative AI could reduce upfront development costs by over 50% (McKinsey Digital, 2023).

In March 2024, Netflix discreetly posted a job listing for an “AI Content Strategist,” with a base salary up to $900,000—an indication of serious investment in replacing or augmenting creative roles (Axios, 2023). These technologies threaten not just creative jobs but also the process of filmmaking itself. As noted in an April 2025 Forbes feature by Michael Ashley, human storytellers are increasingly alarmed at losing their roles not just as workers—but as visionaries of culture.

Ownership, Copyright, and Ethical Entropy

At the heart of the AI-versus-Hollywood standoff lies intellectual property. U.S. Copyright law has long protected works “created by a human.” But what happens when a script is generated based on prompts fed to an AI? If a film is “co-written” by ChatGPT, who owns it? The programmer? The prompt engineer? The studio?

The U.S. Copyright Office in March 2023 ruled against copyright protection for content solely generated by AI in the “Zarya of the Dawn” case (U.S. Copyright Office). However, hybrid works—part human, part AI—remain a legal gray area. Several lawsuits are underway that could shape future policy, including the Authors Guild’s suit against OpenAI, alleging that ChatGPT trained on copyrighted novels without permission (Authors Guild, 2023).

DeepMind has noted in its own ethics blog that implementing a transparent content provenance trail for generated media is core to addressing both artistic and legal disputes (DeepMind Blog). The loss of traceability in script origination could disenfranchise thousands of creatives who rely on royalties to survive.

The Economic Appeal Driving Studios Toward AI

In an industry where a single blockbuster can cost over $300 million to produce, AI appears increasingly attractive. Studios are leveraging ML for film forecasting, script viability, and audience sentiment analysis. A July 2023 Deloitte report (Deloitte Insights) highlighted that:

  • 74% of media executives believe AI can make content creation more efficient.
  • 67% agree it will reduce operational costs within five years.
  • 58% of studios now invest in long-term AI infrastructure versus short-term staffing solutions.

The implication? Cost optimization may favor AI even if storytelling quality dips momentarily. Amazon Studios in 2023 tested generative AI to predict pilot success rates and greenlighted several projects rapidly, bypassing traditional focus group models (VentureBeat, 2023).

A practical financial comparison is shown in the table below:

Film Production Element Human-Based Cost AI-Augmented Cost
Screenwriting (Feature) $300,000 average $25,000 – $50,000*
Storyboard and Previsualization $150,000 $10,000 – $20,000
Post-production (Editing & VFX) $500,000+ $100,000 or less

*Estimates based on AI consultation fees and human-guided refinement.

Creative Tensions and Artistic Authenticity

Veteran screenwriter Charlie Kaufman remarked during a 2024 roundtable, “We should be worried when profit-driven algorithms start defining art.” The fear isn’t just displacement—it’s dilution. Critics argue AI-generated stories lack the personal trauma, existential questions, and subtle irony that define human experience in film.

According to a 2024 report by Pew Research, 60% of Americans believe movies written or directed with AI will be “less emotionally resonant” (Pew Research, 2024). Hollywood has always been as much soul as script. Automating creativity could replace nuance with efficiency. Production might scale, but storytelling could flatten into formula.

The WGA strike settlement in late 2023 included temporary clauses mandating that AI cannot receive credit as a “writer.” But loopholes remain. Studios may still use ChatGPT as a “development tool,” hiding its role in generating dialogue or structure. Many feel this is just an intellectual sleight-of-hand, not a guardrail in practice.

Industry Realignment and Labor Reactions

As generative AI dug deeper into Hollywood workflows, organized labor responded forcefully. The 2023 twin strikes by the WGA and SAG-AFTRA lobbied not just for streaming royalties but against AI encroachment—most notably, the cloning of actor voices and likenesses without consent.

SAG-AFTRA’s final agreement limited AI replication of deceased actors and mandates explicit consent for digital doubles. However, CNBC reported in January 2024 that some studios still test these models offshore where U.S. guild rules don’t apply (CNBC, 2024).

Meanwhile, the AI industry has defended its encroachment. NVIDIA, which powers most generative visual AI tools, asserted that its tech “empowers individual creators who lack Hollywood access” (NVIDIA Blog). But the creative class challenges whether empowerment means disempowerment for hundreds of thousands of workers.

Possible Futures: Collaboration or Collapse?

Hollywood faces three potential futures as AI advances:

  1. Full Integration: AI becomes a core creative collaborator, with new roles emerging such as “Prompt Director” or “Narrative Architect.” Union frameworks adapt, and hybrid storytelling flourishes.
  2. Bifurcation: Independent, human-crafted films become a new artistic niche, while studios focus on AI-driven blockbusters churned at scale.
  3. Creative Rejection: Public backlash and legal constraints limit AI usage, resulting in a partial rollback in automated content development.

The World Economic Forum has projected that creative industries will be the last to fully automate due to consumer bias toward authentic voice and visual storytelling (WEF, 2023). But if public taste adjusts faster than ethical or labor frameworks, a full creative pivot to AI may become irreversible.

by Alphonse G

Article based on Forbes article by Michael Ashley.

APA References:

  • Michael Ashley. (2025). AI vs. Creativity: The Hollywood Battle You Haven’t Heard About. Forbes. https://www.forbes.com/sites/michaelashley/2025/04/01/ai-vs-creativity-the-hollywood-battle-you-havent-heard-about/
  • OpenAI. (2024). Introducing Sora. https://openai.com/sora
  • DeepMind. (2023). Ensuring ethical deployment of next-generation AI. https://www.deepmind.com/blog/ensuring-ethical-deployment-of-next-generation-ai
  • McKinsey. (2023). The economic potential of generative AI. https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
  • Deloitte. (2023). Future of Work and AI. https://www2.deloitte.com/global/en/insights/topics/future-of-work.html
  • Authors Guild. (2023). Authors Guild vs. OpenAI. https://www.authorsguild.org/news/authors-guild-vs-openai/
  • VentureBeat. (2023). Amazon AI Pilot Tests. https://venturebeat.com/ai/amazon-ai-tv-pilots/
  • CNBC. (2024). Remote AI Testing Post-SAG Agreement. https://www.cnbc.com/2024/01/11/hollywood-remote-ai-testing/
  • World Economic Forum. (2023). Future of Work. https://www.weforum.org/focus/future-of-work
  • Pew Research Center. (2024). Public Perception of AI in Film. https://www.pewresearch.org/topic/science/science-issues/future-of-work/

Note that some references may no longer be available at the time of your reading due to page moves or expirations of source articles.