Article

A testicular cancer survivor whose father did not live to see a lifesaving drug: Anthropic CEO predicts cancer and Alzheimer's disease will be conquered within years, and human lifespans could even double

Dongcha Beating AI newsflash: Anthropic CEO Dario Amodei made a bold prediction at the company's IPO roadshow: cancer, Alzheimer's disease, heart disease and mental illness could become history in less than 10 years. He believes that if the risks of AI can be properly controlled, humanity could enter an "age of miracles" in which problems that have persisted for millennia are solved.

As early as 2024, Amodei proposed a "compressed 21 st century" in his essay "Machines of Loving Grace": using AI with capabilities exceeding those of the world's top scientists to achieve medical progress that would otherwise take 50 to 100 years in just 5 to 10 years. He even envisioned that AI could reduce cancer incidence and mortality by more than 95%, prevent Alzheimer's disease, and extend average human life expectancy from approximately 75 to 150 years.

Amodei has firsthand experience with disease and medical progress. He was successfully treated for early-stage testicular cancer, while his father died of hepatitis C. A few years after his father's death, a new generation of antiviral drugs became available, with a cure rate of approximately 95%. In September this year, he revisited the experience, saying he knew what it meant to patients when a medical breakthrough arrived a few years earlier.

Anthropic has already begun participating directly in drug development.October, the company disclosed partnerships with biopharmaceutical organizations, including Bristol Myers Squibb, and acquired Mithril Medicine, a drug development company with only full-time employee.

Mithril's founder used Claude to manage experiments, analyze data and coordinate 11 external laboratories, advancing a potential treatment for a rare muscle-wasting disease to animal testing in less than 18 months. Some treated mice showed approximately twice the grip and muscle strength of the untreated group, as well as improved survival. Anthropic expects that, if subsequent experiments go well, the drug could enter human clinical trials as early as the end of 2028.

But while AI can accelerate drug design and analyze experimental data, it cannot directly shorten the time it takes for a treatment to produce effects in humans or for long-term side effects to emerge. For chronic diseases such as Alzheimer's in particular, researchers may need to follow patients for years to confirm whether a new drug truly works.

Amodei has previously acknowledged that clinical trials and regulatory approvals are major obstacles to accelerating medical progress. In an article published in June this year, he noted that regulatory approval for a new drug in the United States and Europe typically takes approximately 7 to 8 years. He advocates using better AI simulations, toxicity predictions and biomarkers to shorten development timelines while retaining necessary safety checks.