Can AI cure all diseases within a decade? Nobel laureate Demis Hassabis shares bold vision for the future of medicine

When Sir Demis Hassabis, co-founder of Google DeepMind and knighted British AI visionary, isn’t decoding protein structures or redefining the future of medicine, he’s enjoying a good game — whether it’s chess, poker, or the ultimate intellectual pursuit: artificial intelligence. A man once driven by curiosity about life’s biggest mysteries, Hassabis has turned that fascination into revolutionary breakthroughs that could mark the beginning of the end for human disease.

In a CBS 60 Minutes clip posted by the Instagram page artificialintelligencenews.in, Hassabis tells CBS’s Scott Pelley something that sounds more like science fiction than science fact: AI, he claims, could help eliminate all diseases within the next ten years.

Medicine’s Next Leap: Faster, Smarter, and Possibly Final

“It takes, on average, ten years and billions of dollars to develop just one drug,” Hassabis explained. “We could maybe reduce that down to months, or even weeks.” These are not hollow promises. This is the same scientist whose AI model cracked the code of protein structures — the essential building blocks of life — mapping over 200 million structures in a single year. Before DeepMind's intervention, only 1% of those structures had been deciphered, each taking years to decode.


That same AI prowess is now being aimed at drug development. According to Hassabis, such exponential leaps in research speed could “revolutionize human health.” With a touch of cautious optimism, he adds, “I think one day, maybe we can cure all disease with the help of AI. Maybe within the next decade. I don't see why not.”

Beyond Intelligence: The Rise of Scientific Imagination

While current AI models are still limited by a lack of true curiosity and intuition, Hassabis sees a not-too-distant future where machines won’t just solve scientific problems — they’ll identify them first. “In the next five to ten years,” he said, “we’ll have systems that are capable of coming up with new hypotheses in science on their own.”

This transformative shift won Hassabis and his colleague John Jumper the 2024 Nobel Prize in Chemistry for their groundbreaking work in AI-driven protein structure prediction. Their contributions have already opened new frontiers in biology and medicine. Now, he envisions AI systems becoming imaginative — capable of independent scientific creativity — pushing humanity toward what he calls radical abundance, a world without scarcity, and perhaps, without disease.

A Cautious Future: Guardrails and Grand Visions

But Hassabis is not blind to AI’s potential risks. He highlights two critical concerns: the misuse of AI by malicious actors, and the challenge of keeping increasingly autonomous AI systems aligned with human values. “Can we make sure they stay on the guardrails?” he asks, referring to the safety protocols baked into AI systems.

As a UK Government AI Advisor and the mind behind both DeepMind and Isomorphic Labs, Hassabis is not just leading the charge in AI research — he’s helping shape policy to ensure AI’s power remains beneficial and secure.

A Future Within Reach?

Sir Demis Hassabis stands at the crossroads of human knowledge and machine capability. A child prodigy turned global AI authority, his predictions aren’t mere speculation — they’re grounded in proven scientific progress. As the world grapples with pandemics, drug shortages, and rising healthcare costs, his vision of a disease-free future, driven by AI, offers a breathtaking possibility.

“AI is the ultimate tool for advancing human knowledge,” he says. If he’s right, the future of medicine might not lie in syringes and surgeries — but in circuits and code.

According to IBM Artificial intelligence is rapidly transforming modern medicine by enhancing diagnostics, accelerating drug development, and personalizing patient care. AI tools now assist clinicians in analyzing medical images, detecting conditions like cancer or sepsis, and making real-time treatment decisions. During the COVID-19 pandemic, AI-supported technologies were tested for patient monitoring and screening.

These innovations demonstrate how AI can streamline clinical trials, reduce drug discovery timelines, and support continuous care through virtual assistants. As standards evolve, AI is poised to become a core component of global healthcare systems, improving outcomes for patients and aiding researchers and professionals in tackling complex medical challenges.

If Sir Demis Hassabis’s vision holds true, the next decade could mark the dawn of a disease-free era—where AI doesn’t just assist in healing but becomes the architect of human health. From decoding proteins to imagining cures, the future of medicine may lie in intelligence not born, but built.