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Minding the gap – AI regulators should learn from the pharmaceutical industry

by Tim Bodicoat | Analysis

21 October 2026

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AI leaders are warning of catastrophe, but regulations remain limited. The history of the pharmaceutical industry shows why we shouldn’t wait for disaster before acting.

This entry is part 3 of 3 in the series Minding the gap
Series Navigation<< Minding the gap – what does China’s biotech boom mean for the UK?

Life moves pretty fast, but AI moves even faster. Just two years ago, people were still poking fun at AI models for failing to count the number of r’s in the word strawberry. Now, we’re wondering if it will kill us all.

The debate about the dangers of AI, which had been gently simmering for a while, recently started to bubble over. There is now a chorus of voices from the field giving their predictions of an imminent AI disaster.

Last month, Evan Hubinger, a senior safety researcher at AI firm Anthropic, said he thinks there’s a greater than 10% chance that AI will wipe out humanity within the next decade. The former chief scientist at the UK’s AI Security Institute, Geoffrey Irving, puts it at 50%. Daniel Kokotajlo of the AI Futures Project thinks the likelihood of some kind of catastrophe is as high as 70%. That is quite the odds board – place your bets, please.

Anthropic’s CEO Dario Amodei has since called for a slowdown in AI development, with stricter regulations to prevent the technology spiralling out of control. Many other leaders in the field agree with him, including Elon Musk and OpenAI’s Sam Altman. Despite this emerging consensus within the field, there are still no global standards in place. As the president of Microsoft, Brad Smith, recently pointed out, AI is subject to fewer safety rules than milk production.

Up until the 1960s, the UK had no comprehensive drug regulation system to monitor the safety of medicines before they reached patients. The thalidomide disaster, which caused birth defects in over 10,000 children, changed that.

Lessons of history

Regulating such a rapidly changing technology is not easy, though, and could hamper innovation. The AI boom is already revolutionising our lives and could bring enormous advances to cancer patients, from early detection to drug discovery. Are we at risk of losing those benefits in a tangle of red tape?

There is another industry that offers some useful lessons for policymakers. Like AI, this industry pushes the boundaries of science and technology, with the potential to both improve lives and cause serious harm. Like AI, it is driven by enormous commercial incentives and dominated by a handful of companies. Like AI, it relies on public trust.

It is, of course, the pharmaceutical industry. Where the sectors differ is that the pharmaceutical industry is one of the most heavily regulated across the globe.

That wasn’t always the case, though. Up until the 1960s, the UK had no comprehensive drug regulation system to monitor the safety of medicines before they reached patients. The thalidomide disaster, which caused birth defects in over 10,000 children, changed that. In response to the tragedy, the government enacted the Medicines Act 1968, introducing stricter testing for medicines before licensing.

AI regulations

And for any political leaders who fear AI regulation will stunt their economies, it’s worth noting that the pharmaceutical industry remains one of the most profitable in the world.

Since then, the regulatory framework has continued to evolve. Now, the journey to get new medicines to market is long, requiring multiple phases in the clinic, continual monitoring and independent assessment. Generating the evidence to hit regulatory milestones requires an enormous amount of investment, but it is vital to understanding if they are safe let alone if and how new treatments work, which informs future research. The regulations, in demanding rigorous testing and reliable evidence, help to drive innovation rather than dampen it.

And for any political leaders who fear AI regulation will stunt their economies, it’s worth noting that the pharmaceutical industry remains one of the most profitable in the world.

Best-laid plans

The thalidomide disaster, which catalysed these regulatory changes, was not the result of a grand conspiracy or an industry-wide deception. The manufacturer thought the drug was safe and believed it would help many women manage their morning sickness, but the scandal exposed serious failures in how medicines were tested. With such lax regulations, even well-intentioned companies can cause harm.

This is particularly relevant in the AI industry, where the actions of the technology can diverge from the intentions of the company, as we’ve seen from the many incidents this year of AI agents going rogue and hacking into things they shouldn’t. Indeed, policymakers are currently grappling with a difficult question: who do you hold accountable for a technology that has a mind of its own?

The answer cannot rely on trusting companies to get everything right. The pharmaceutical industry shows that we need independent assessment and continual monitoring to keep the public safe. AI will require its own regulatory framework, but the principle is the same: you do not have to choose between progress and safety. Rather, it is only by ensuring the safety that you can deliver the progress promised by the AI revolution.

Hopefully we will not have to wait for another disaster to force regulators into action. They better be quick – life moves pretty fast.

Tim Bodicoat

Author

Tim Bodicoat

Tim is a science writer for Cancer Research Horizons. You can read more of his pieces here.

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