OpenAI CEO Sam Altman predicts when AI might finally crack the cure for cancer on its current trajectory

When discussions around artificial intelligence usually focus on fears of job loss or science fiction doomsdays, OpenAI CEO Sam Altman offered a refreshing and bold vision: AI could potentially cure cancer. In his latest blog post titled Abundant Intelligence, Altman suggested that with 10 gigawatts of computing power, AI might unlock breakthroughs in medicine, including personalized tutoring for every student and solving one of humanity’s deadliest diseases.

The 10-Gigawatt Challenge

Altman explained that achieving such feats would require a massive expansion of AI infrastructure. OpenAI aims to build a “factory” producing a gigawatt of new AI capacity every week—a goal that will take years but is technically feasible. “If AI stays on the trajectory that we think it will, then amazing things will be possible,” Altman wrote, highlighting the transformative potential of scaling compute power.

The announcement comes alongside OpenAI’s partnership with Nvidia to develop what the companies describe as the largest AI infrastructure project in history. Nvidia CEO Jensen Huang emphasized the ambition: “We’re literally going to connect intelligence to every application, to every use case, to every device. This is the first 10 gigawatts, I assure you of that”. The first data centres under this initiative are expected to be operational by late next year.

Curing Cancer Is Complicated, But AI Is Helping

Experts caution that curing cancer is far from a simple task. The disease comprises hundreds of types, each with unique biological mechanisms. While AI tools like Google DeepMind’s AlphaFold have accelerated drug discovery and improved cancer detection, understanding and curing the disease remains immensely complex. Still, Altman’s prediction underscores how exponential increases in computing power could eventually tackle problems that currently seem insurmountable.

A Vision Beyond Technology

Altman also framed AI access as a potential fundamental human right, envisioning a world where everyone benefits from intelligent systems working on their behalf. The broader goal, he said, is to build infrastructure capable of unleashing unprecedented AI innovation, from education to healthcare, with life-saving outcomes potentially within reach.