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Finance / Why biotech and pharma are betting big on Artificial Intelligence
FinanceResearch

Why biotech and pharma are betting big on Artificial Intelligence

AI has the potential to boost healthcare revenues by around 12% by improving drug discovery and clinical trials.

Daniel Reed
ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect...
- AI Research, Safety & Ethics Analyst
Published: August 4, 2025
7 Min Read
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AI has the potential to boost healthcare revenues by around 12% by improving drug discovery and clinical trials.
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Healthcare stocks haven’t been shining in 2024. In fact, the S&P 500 healthcare sector dropped nearly 5%, trailing well behind the broader market rally. For investors, that’s been a frustrating trend—especially after the hype around GLP-1 obesity drugs that pushed the sector’s momentum in recent years. Yet, I recently came across some compelling insights suggesting that artificial intelligence could shift the narrative and breathe new life into healthcare stocks.

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Why AI is poised to revolutionize drug discovery and clinical trials

According to Leah Bennett, chief investment strategist at Concurrent Asset Management, AI isn’t just a buzzword in healthcare; it could be the game-changer that transforms everything from drug discovery to clinical trial management. AI‘s ability to identify promising proteins much earlier and with a higher approval success rate could drastically improve the efficiency of drug pipelines. Plus, clinical trials, notorious for being complicated and costly, stand to benefit from AI-driven operational improvements. Bennett highlighted some reports estimating AI could boost healthcare revenues by as much as 12% in the near future—a truly significant potential impact.

Harnessing AI for early protein discovery and optimized clinical trials could reshape healthcare, possibly increasing sector revenues by 12% or more.

The fierce competition beneath the surface: pharma, biotech, and medtech

While AI carries enormous promise, it’s important to keep in mind that the current healthcare landscape is one of intense competition. For example, the GLP-1 market alone is estimated at around $200 billion, with companies jockeying not just for weight loss applications but also branching into areas like sleep apnea. This rivalry is squeezing margins for big pharmaceutical players, even though they’re still generating substantial cash flow.

Bennett pointed out that biotech firms, despite facing headwinds from higher interest rates and cash burn concerns, might be where the real growth story lies. Many biotechs are working with newer technologies that could become acquisition targets in an upcoming wave of mergers and acquisitions. Similarly, medtech companies that skyrocketed during the COVID-19 era with diagnostic test kits—names like Abbott and Becton Dickinson—are actively searching for opportunities to acquire and expand.

So the big pharma giants vs. smaller biotech innovators isn’t just a story of size, but one of different challenges and opportunities. AI could level the playing field by accelerating innovation, reducing costs, and fueling breakthroughs across the board.

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Picking winners amidst uncertainty: how investors can navigate the sector

I found it interesting when Bennett talked about how to identify promising investment opportunities in this complex space. The key isn’t blindly chasing every experimental biotech, but rather looking for companies that have some form of validation—a candidate already approved by the FDA, and a pipeline that builds on similar technology. These firms carry less risk and more upside, especially as interest rates show signs of easing, which would improve their financing costs.

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On the flip side, geopolitical and regulatory headwinds remain. Tariffs and pricing pressures—like recent efforts by the U.S. government to push down drug costs—pose challenges to large pharma and medical device firms. However, much of this negative sentiment appears baked into current valuations, with healthcare stocks trading near the low end of their historic earnings multiples. This suggests a market that is cautious but ripe for positive surprises if AI-driven efficiencies and new innovations materialize.

It’s also crucial to understand that AI’s rise and innovation won’t benefit every corner of healthcare equally. Bennett mentioned that managed care and insurance companies, such as United Healthcare, might continue to struggle if unemployment rises and economic pressures mount. Meanwhile, drug makers and biotech firms could emerge as the primary winners, assuming they navigate competition smartly and leverage new AI capabilities effectively.

Will healthcare stocks catch up with the market?

When asked whether the healthcare sector could bounce back and catch up with the broader market, the outlook was surprisingly optimistic. Some biotech companies have already started outperforming the S&P 500, a bit counterintuitive given the sector’s traditional volatility and challenges. This hints at a potential turning point, fueled by AI innovation, new drug approvals, and fresh capital inflows.

That said, it’s clear that investors need to be selective and patient. The next 12 to 18 months could see an exciting reshuffling—where AI not only helps bring breakthrough drugs to market faster but also improves operational efficiency and profitability across healthcare.

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Key takeaways

  • AI is a major catalyst for transforming drug discovery and clinical trials, potentially boosting healthcare revenues by more than 10%.
  • Biotech firms with validated drug candidates and innovative pipelines offer attractive risk-reward profiles amidst market uncertainties.
  • Healthcare valuations already reflect many challenges, so AI-driven innovation could fuel a sector rebound and lead to market outperformance.

Final thoughts

Exploring healthcare stocks today feels like standing at the cusp of a new era. The sector’s traditional struggles—competition, pricing pressures, regulatory challenges—are very much real. But AI’s promise to revolutionize how drugs are discovered, tested, and brought to market adds a powerful new dynamic that could re-energize investors and innovators alike.

For anyone following the healthcare sector, it’s a time to watch closely, dig deeper into company pipelines and valuations, and embrace the nuanced reality that winners and losers will emerge in this transformation. If AI delivers on its promise, healthcare stocks might just surprise us all.

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ByDaniel Reed
AI Research, Safety & Ethics Analyst
Daniel Reed currently works as an AI Research, Safety & Ethics Analyst at Aiholics, writing about how changes in artificial intelligence are affecting and will affect scholarship, society, and human civilization. He reports on breakthroughs in AI research, the development of safety frameworks, discussion of long-term risks, and ethical challenges; he also reports on global shifts in policy and governance. Daniel aims to make complex research papers and long-term thinking accessible to the everyday reader without sacrificing nuance. With his thoughtful and analytical style of writing, Daniel translates advanced topics into clear language. He targets questions that really matter: how safe are today's AI systems, what kind of ethical boundaries do we need, and how could exponential progress affect the way education, jobs, governance, and human values are shaped? His articles are often not just expert opinions but also balanced views and insight into emerging debates that define AI's place in the world. Daniel believes responsible AI development begins with awareness, transparency, and informed public conversation. In terms of his work with Aiholics, he encourages readers to look beyond headlines to understand the promise of artificial intelligence but also some of its consequences.
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