Per-minute AI video generation costs dropped from several hundred dollars in 2024 to single-digit dollars in 2026, compressing production economics by over 98%. The cost collapse is driving the sector from research labs into commercial deployment, with global revenue projected at $847 million for 2026.
Production capabilities that previously required teams of 50-100 professionals now run with fewer than 10 people. This workforce compression creates direct margin expansion for early adopters while threatening traditional video production studios operating at legacy cost structures.
The competitive landscape has consolidated around four principal platforms: Google's Veo 3.1, OpenAI, and two undisclosed providers. Cuty AI announced a unified image and video creation platform on February 9, 2026, joining the race for enterprise contracts.
Enterprises evaluating platforms face switching costs that lock in early provider choices, giving first movers in Google and OpenAI structural advantages. Smaller platforms must differentiate on vertical specialization or risk acquisition.
Investment implications split three ways. Platform providers with proven enterprise traction capture revenue growth. Video production companies face margin pressure unless they pivot to AI-augmented workflows. Content-heavy industries—advertising, entertainment, corporate communications—gain cost arbitrage opportunities worth monitoring in Q1-Q2 earnings.
The Q1-Q2 2026 period serves as a test window. Enterprise adoption rates, market share distribution among the top four providers, and team size reductions at production companies will validate whether cost compression translates to sustainable business transformation or temporary arbitrage.
For investors, the sector presents asymmetric risk. Platform winners could scale rapidly as production costs approach zero marginal expense. Traditional production studios holding physical assets and large payrolls face structural disadvantage. The $847 million 2026 market represents early-stage deployment; enterprise budgets shifting from human labor to software licenses could multiply that figure by 2027.