As Netflix and Warner Bros Discovery face intense scrutiny over their proposed $82 billion merger, a deeper story is unfolding about how artificial intelligence is reshaping the entertainment landscape from the ground up. While lawmakers debate whether the deal would reduce competition or raise prices for consumers, the real transformation is happening in semiconductor labs and data centers thousands of miles away.
The Hardware Foundation of Streaming Wars
Netflix CEO Ted Sarandos’ defense of the merger during Senate hearings focused on content libraries and consumer benefits, but he missed the bigger picture: the streaming wars are increasingly being won or lost at the hardware level. The same AI chips that power ChatGPT and other large language models are becoming essential infrastructure for content recommendation, video encoding, and personalized streaming experiences.
Consider this: while Netflix argues with Paramount over who gets to acquire Warner Bros, companies like Nvidia are quietly building the computational backbone that makes all streaming services possible. Reuters reports that China has approved the first batch of Nvidia H200 chip imports, allowing Chinese companies to purchase these advanced AI processors despite ongoing U.S. export restrictions. These chips, designed for high-performance AI computing, represent the invisible infrastructure powering everything from Netflix’s recommendation algorithms to Warner Bros’ content production pipelines.
Semiconductor Giants See AI Boom
The connection between semiconductor manufacturing and entertainment might seem distant, but it’s becoming increasingly direct. ASML, the Netherlands-based semiconductor equipment manufacturer, forecasts significant sales growth for 2026 driven by the AI boom, with expected net sales between �34 billion and �39 billion. CEO Christophe Fouquet attributes this strong outlook to customer confidence in AI demand, leading to major capacity additions starting next year.
“Customers had ‘a strong belief that the AI demand is real’ and were starting to prepare for that with ‘a major addition of capacity’ in the short term,” Fouquet told investors. This capacity isn’t just for tech companies – it’s increasingly for entertainment giants who need massive computational power for everything from CGI rendering to personalized content delivery.
Investment Shifts from EVs to AI
The entertainment industry’s AI transformation is part of a broader shift happening across multiple sectors. Tesla reported its first annual revenue decline in 2025 as the company shifts focus from electric vehicles to AI and robotics. The EV maker announced plans to end production of Model S and Model X vehicles, repurposing its California manufacturing plant to produce humanoid robots called Optimus.
Tesla also invested $2 billion in Elon Musk’s AI venture xAI, despite shareholder opposition. This pivot reflects a growing recognition that AI infrastructure represents a more strategic investment than traditional hardware manufacturing. As BYD overtakes Tesla as the world’s biggest EV maker, Musk’s company is betting its future on AI – a bet that entertainment companies are making in their own way.
The Data Center Reality Check
All this AI infrastructure requires massive data centers, but the economic benefits might not be as straightforward as governments claim. The Financial Times reports that the UK government’s claims about job creation from AI data center projects are based on questionable multipliers and industry reports that don’t account for differences between hyperscale and co-location data centers.
Tim Anker of Colo-X brokerage explains: “What was built back then to service the needs of lots of small customers in no way reflects a current building boom. The staffing of a small co-location data center with lots of small customers will be quite high. Whereas when you’ve got one large hyperscale, ultra efficient user, staffing levels will be much lower.”
Investment Flood Continues
The financial commitment to AI infrastructure is staggering. SoftBank Group is nearing an agreement to invest an additional $30 billion in OpenAI, potentially valuing the ChatGPT maker at about $750 billion before new investments. OpenAI aims to raise up to $100 billion in this funding round, with SoftBank already being its largest investor.
This fundraising effort comes as OpenAI faces growing competition from Anthropic and Google, with CEO Sam Altman urging staff to focus on improving ChatGPT. Despite annualized revenue surpassing $20 billion, OpenAI continues to lose billions due to high operational costs – a reminder that building AI infrastructure is expensive, even for the most successful companies.
What This Means for Entertainment
So what does all this mean for the Netflix-Warner Bros merger debate? It suggests that lawmakers might be asking the wrong questions. Instead of focusing solely on content libraries and market share, they should consider how AI infrastructure will determine which companies survive the next decade of entertainment.
The companies that control the best AI recommendation systems, the most efficient content production pipelines, and the most sophisticated personalization algorithms will win – regardless of who owns which studio. This is why Sarandos’ argument that “we are competing for the same content, we are competing for the same viewers” misses a crucial point: they’re also competing for the same AI chips, the same data center capacity, and the same engineering talent.
As Nvidia CEO Jensen Huang recently noted, the AI boom has “started the largest infrastructure build-out in human history.” Entertainment companies are now part of that build-out, whether they realize it or not. The real question isn’t whether Netflix should merge with Warner Bros – it’s whether any entertainment company can survive without massive investment in AI infrastructure.