Mateo Starcevic Filipovic, AI image/video expert, co-creator one of the world’s largest paid AI image and video community, AI Video Bootcamp
Studio executives expect generative AI (GenAI) to deliver up to “90% efficiency gains in VFX and 3D asset creation,” according to McKinsey researchers. That number isn’t the end of the creative direction job. It’s the start of a more interesting version of it.
The conventional read of GenAI in creative production is anxious. Will it replace directors? Will it hollow out the craft? The data, taken seriously, says something different. The role is becoming more profitable, faster, safer and more strategic.
What The Numbers Tell Us
The same McKinsey research sizes the global content-creation value chain at $181 billion, with the largest near-term GenAI value concentrated in pre- and post-production, together roughly half of total production spend. Deloitte’s 2026 Media and Entertainment Industry Outlook is more direct: GenAI will “improve operational efficiencies and productivity, lowering costs and accelerating time to market,” while independent studios will “produce more high-quality content than their modest size would indicate.”
The macro tailwind is large. In 2023, Goldman Sachs Research estimated that GenAI could raise global GDP by 7%, about $7 trillion, and grow productivity by 1.5 percentage points by 2033. For a business as labor-bound as film, television and advertising production, that translates directly into more projects per dollar.
The micro effect is verified. In 2023, the National Bureau of Economic Research found that GenAI raised support-agent productivity by approximately 14%, with the largest gains, around 34%, accruing for less experienced workers. In a 2023 Harvard Business School field experiment, researchers found that consultants using GPT-4 completed 12% more tasks, 25% faster, with significantly higher quality on tasks inside the model’s capability frontier. These aren’t entertainment-industry estimates. They’re independently replicated effects on real workers.
What Changes On The Set
Production moves earlier. The McKinsey article previously cited notes that AI-assisted pre-visualization lets directors A/B test shots before they’re filmed, shifting decisions upstream where they’re cheaper. The old Hollywood adage of “fix it in post” becomes “fix it in pre.” Savings show up in two places marketing and studio leaders will both recognize: fewer reshoots and shorter on-set days.
Shorter on-set days carry a benefit that’s easy to miss. They reduce the time window in which physical and insurance risks accrue, including stunt exposure, weather, equipment failure and location liability. The director who shortens production through better planning is the same director who runs a safer one.
Legal exposure has also matured. The 2023 WGA Minimum Basic Agreement and the SAG-AFTRA television and theatrical contract put the first major Hollywood guardrails around GenAI in production, including consent and compensation for digital replicas and limits on AI-generated written material. The contracts don’t block AI. They create the legal envelope inside which directors can use it confidently. Studios are moving toward IP-protected models with documented training data, an approach McKinsey describes as a “nutrition label” for what each model was trained on.
What The Director’s Job Becomes
The role doesn’t contract. It expands into the layer above the work.
The Harvard Business School “jagged frontier” finding matters here. GenAI helps most on tasks inside its capability boundary and can hurt performance on tasks just outside it. The high-value human skill becomes knowing where the frontier is and orchestrating around it. That’s a director’s job described in different vocabulary.
The traditional creative director job was three things: setting the creative vision, hiring and managing the people who execute it, and protecting brand standards across that work. Those responsibilities haven’t gone away. They’ve been joined by a fourth: deciding which models do which jobs, and how those models are sequenced together. A modern campaign typically draws on multiple generative models inside a single deliverable: one for storyboarding, another for stills, another for animation, another for voice and another for compliance review.
This isn’t a software procurement decision. It’s a creative one. Different models have different aesthetic signatures. The model stack is the new craft layer.
The World Economic Forum projects that 39% of workers’ core skills will change by 2030 and identifies AI and big-data skills among the fastest-growing capabilities employers are hiring against. The role re-profiles. It doesn’t vanish. As one GenAI product leader interviewed by McKinsey put it: “Great stories and great storytelling will always matter. AI can speed the workflow, but creativity still defines the outcome.”
How To Adapt This Quarter
If you lead a creative team, in marketing, in film or in advertising, three concrete moves this quarter will compound for years.
Start by auditing the current model stack against what’s actually shipping in the category. A short Slack channel where two or three operators on your team share weekly model updates is enough.
Formalize the prompt library next: one shared document, version controlled, with examples that worked and examples that didn’t. Treat it the way you treat a brand book.
Then assign a taste validator. Their explicit job is to evaluate output and decide what ships. This person is senior—often, the most senior person on the team. Title doesn’t matter. The seat does.
The creative director job is expanding, not contracting. The numbers say it gets cheaper, faster and safer. The job description says it gets more strategic. Both are good news for anyone who’s been waiting for the part of the role that’s finally about taste, judgment and orchestration to become the part that pays.
Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
