Amazon MGM Studios has halted its involvement in the nearly completed film 'Artificial,' a project detailing the 2023 ouster and reinstatement of OpenAI CEO Sam Altman. The studio stated that the film would be better served if released by a different distributor and is assisting the production team in finding a new home. This decision comes as Amazon significantly deepens its partnership with OpenAI, raising questions about potential conflicts of interest.

Directed by Luca Guadagnino, 'Artificial' chronicles the five-day saga surrounding Altman's firing. The film had been attached to MGM Studios, a unit of Amazon.com, prior to the exit. In a statement to Deadline, Amazon expressed respect for Guadagnino but confirmed its withdrawal from the project. Other major studios, including Netflix and Focus, have reportedly passed on the film, leaving smaller distributors like Mubi and Neon as potential options.

The shift in distribution strategy follows a $50 billion deal signed between Amazon and OpenAI in February. This partnership has created a closer working relationship between the two entities, potentially influencing Amazon's decision to distance itself from a film that may portray OpenAI leadership unfavorably. The film stars Andrew Garfield as Altman and Ike Barinholtz as Elon Musk, with reports suggesting the portrayals are unflattering.

Amazon's MGM Studios had previously collaborated with Guadagnino on films such as 'Challengers' and 'After the Hunt.' The company appears to be prioritizing its strategic technology and AI units over its movie studio segment. By avoiding the release of a film that highlights a contentious period in OpenAI's history, Amazon aims to prevent any strain on its valuable relationship with the AI giant.

The project's status remains uncertain as the filmmakers seek a new studio. The development underscores the complex interplay between corporate partnerships and content decisions in the entertainment industry.

Artificial intelligence has created a new arms race among technology companies. Most investors focus on chips, power and data centers. But another resource is quickly emerging as a critical battleground: water. Amazon.com Inc. revealed this week that its data centers consumed approximately 2.5 billion gallons of water in 2025, while achieving what the company says is a water usage efficiency rate of just 0.12 liters per kilowatt-hour. According to Amazon, that compares with an industry average of 0.84 liters per kilowatt-hour, noted I/O Fund's Lead Tech Analyst Beth Kindig. The figures suggest Amazon's facilities use roughly 86% less water than the industry benchmark, highlighting a growing competitive advantage that could become increasingly important as artificial intelligence infrastructure expands.

AI’s Next Resource Constraint

For the past two years, the AI conversation has centered on NVIDIA Corp., graphics processors and soaring demand for computing power. More recently, investors have shifted their attention to electricity. Technology giants, including Amazon, Microsoft Corp., Alphabet Inc., Meta Platforms Inc. and Oracle Corp. have collectively committed hundreds of billions of dollars toward AI infrastructure, while racing to secure access to power generation and grid capacity.

Yet water may be becoming just as important. Large data centers rely on sophisticated cooling systems to keep servers operating efficiently. As AI clusters grow larger and more power-hungry, cooling requirements are increasing as well. That has drawn growing scrutiny from regulators, environmental groups and local communities concerned about water availability.

Why Amazon’s Numbers Matter

Amazon's disclosure arrives at a time when investors are paying closer attention to the environmental footprint of artificial intelligence. While Amazon's use of approximately 2.5 billion gallons may sound enormous, the company argues its facilities are significantly more efficient than industry averages when measured by the amount of computing power delivered.

If accurate, the comparison suggests Amazon may have built an advantage that extends beyond cloud market share and AI chips. Efficient cooling systems can lower operating costs, reduce environmental concerns and potentially make it easier to win approval for future data center projects. In an industry increasingly constrained by physical resources, efficiency may become just as valuable as scale.

The AI Race Is Expanding Beyond Chips

For investors, the bigger takeaway may be that the AI infrastructure story continues to evolve. First, it was chips. Then it was power. Now water is entering the conversation. Companies capable of delivering AI computing while minimizing electricity consumption, cooling requirements and water usage could gain an edge as competition intensifies.

That means investors evaluating AI winners may eventually need to look beyond Nvidia and cloud revenues. The next competitive battleground could be the resources required to keep those AI systems running. And according to Amazon's latest figures, water efficiency is becoming one of them.