CH Health Tech Advisory

Insights / Topics

AI in Pharma

What is real, what is theatre, and what will actually compound inside large pharma. From AI-assisted commercial strategy to regulated workflows, written from the inside.

AI is reshaping how drugs get discovered, developed, and reviewed, but the binding constraint is rarely the model. The recurring argument is that announcements, GPUs, and billion-dollar deals are the easy part; industrialization and getting large organizations to actually operate differently are the hard part. The sharper questions sit downstream: who captures the value, which business models survive, where AI is real versus theatre, and whether discovery gains matter when clinical cost is the real bottleneck.

28 May 2026 · 3 min read

Do not get out of bed for an AI project worth less than $100 million.

At the AI in Clinical Development Summit we hosted in New York, one line defined the room: don't get out of bed for an AI project worth less than $100 million. I walked away with four ideas about where pharma's AI transformation is actually landing — and a conviction that regulatory submissions are heading toward agent-to-agent transactions built on machine-native data standards.

19 May 2026 · 3 min read

The rise of agentic in drug R&D - Owkin & AZ

AstraZeneca's licensing of Owkin's K Pro platform signals where agentic AI is actually landing in pharma right now — competitive intelligence — not the broader scientific autonomy the positioning implies. I break down which workflows are realistic today and why the teams that start with unglamorous, high-leverage tasks will be best positioned when the harder problems become tractable.

7 May 2026 · 3 min read

Most AI-first techbios are modeling clinical costs that are roughly half of what they will actually face.

Most AI-first techbios are modeling clinical costs that are roughly half of what they will actually face — and the capital required to put an AI-derived molecule in front of a patient has roughly doubled within the lifespan of one mRNA company. Discovery cost reductions are real and welcome, but the binding constraint sits elsewhere.

28 Apr 2026 · 3 min read

OpenEvidence exits Europe: what AI Act uncertainty means for clinical AI

OpenEvidence has withdrawn from the EU and UK citing regulatory uncertainty around the EU AI Act, making the geography of clinical AI access officially American. I break down what this means for US and European pharma, and why the AI Act's first observable market effect may be pushing physicians toward less-grounded AI alternatives.

16 Apr 2026 · 3 min read

OpenAI in pharma: Novo Nordisk, GPT-Rosalind, and the life sciences platform play

Last week, OpenAI made two moves in pharma within 48 hours — a flagship enterprise deal with Novo Nordisk and the launch of GPT-Rosalind — and the sequencing tells a deliberate story about how they're building a verticalised commercial infrastructure for life sciences. Having sat on the pharma buyer side, I break down what that cadence actually accomplishes.

7 Apr 2026 · 3 min read

Boehringer Ingelheim’s London AI center: pharma capability hubs are replacing pilots

Boehringer Ingelheim's new AI and machine learning center in London signals something more specific than another pharma AI announcement — pharma is starting to build permanent capability hubs, not just buy software deals. My bet is that by 2028, the companies with serious in-house computational capability will look structurally different from the ones that outsourced both talent and hardware.

31 Mar 2026 · 3 min read

Eli Lilly and Insilico Medicine: what three AI drug discovery deals signal

Eli Lilly’s third Insilico deal in three years: $115M upfront, up to $2.75B in milestones, plus royalties. The progression from software licensing in 2023 to a $2.75B commitment in 2026 tells the real story. The signal for the rest of the AI drug discovery space is harder to read — deals like this concentrate pharma attention on proven platforms.

26 Mar 2026 · 3 min read

Earendil Labs just raised $787M for AI-driven biologics. The largest AI biotech round of 2026 so far.

A company you’ve most likely never heard of just raised $787M for AI-driven biologics. The headline number is striking. Sanofi’s trajectory — partner to repeat customer to investor in under twelve months — tells you more about the platform than any press release. The Delaware-incorporated, Beijing-operating structure is the emerging architecture for Chinese AI biotech going global.

17 Mar 2026 · 2 min read

Roche’s hybrid-cloud AI factory: why adoption matters more than GPUs

Roche just announced pharma's largest hybrid-cloud AI factory, combining 2,176 new NVIDIA Blackwell GPUs with an existing footprint that now exceeds 3,500 across the U.S. and Europe. But after years of watching these waves from inside pharma, the pattern is clear: the announcement is the easy part — the hard part is getting a large organization to actually change how it works.

10 Mar 2026 · 4 min read

AI drug discovery benchmarks: why pharma needs model evaluation discipline

Three big AI drug discovery launches in 90 days: Boltz, IsoDDE, OpenFold3. Every benchmark was built by the team that built the model. The real question isn’t which model has the best benchmark. It’s whether discovery teams have a rigorous internal framework to evaluate any model that shows up. The real moat is evaluation discipline.

3 Mar 2026 · 2 min read

Lab-in-the-loop drug discovery is an operating model problem, not a model problem

Lab-in-the-loop gets talked about like it’s a model problem. The Roche/Novartis/Microsoft panel at health.tech | global summit Basel made the real point clearer: it’s an operating model problem. Most orgs are at Level 1–2 maturity, and that’s already useful — the first big value isn’t more hits, it’s faster, more confident kill decisions.

26 Feb 2026 · 3 min read

Clarivate LS&H sale: what GenAI means for pharma intelligence businesses

Clarivate is selling its LS&H division — $390M in revenue, down 7% YoY, stock at $1.69. Decision Resources and Cortellis defined pharma intelligence for decades. GenAI-native platforms are now structuring, querying, and synthesizing across the same data at a fraction of the cost. When organized access to information is your moat, and AI organizes information better than you, that’s not a strategy problem. That’s an existential one.

8 Oct 2025 · 3 min read

The AI-biology frontier: an inspiring panel this morning at BioTechX with Lena Afeyan of Flagsh...

I joined an inspiring panel this morning at BioTechX with investors from Flagship Pioneering, Hikma Pharmaceuticals, MTIP, Lauxera Capital Partners, and Archimed to discuss where we stand on the journey of cracking biology and health with AI. From agentic AI and defensible moats to the tech-bio platform vs. pipeline dilemma and whether we're in an AI bubble, the conversation covered the full frontier.

6 Oct 2025 · 1 min read

An exciting panel including Jan Schlender and Gunther Jansen, PhD of Novartis , Petrina Kamya, P...

I attended an exciting panel on GenAI's impact in preclinical development, featuring voices from Novartis, Insilico Medicine, and INVIDIA. Key themes included the balance of AI opportunity and risk, the power of robotics combined with AI, and the ongoing challenge of data organization and institutional memory in the lab.

18 Jun 2025 · 1 min read

An interesting discussion on AI in drug discovery and development with Thirupathi Pattipaka from...

I joined an interesting discussion on AI in drug discovery and development at HLTHEurope2025 with panelists from Novartis, Roche, and OWKIN. From real-world evidence generation to biomarker development and regulatory considerations, the conversation covered both the opportunities and challenges of bringing AI into pharma.

13 May 2025 · 1 min read

Last week at the AI in Clinical Development Summit 2025 in NYC, I had the pleasure of joining an...

Last week at the AI in Clinical Development Summit 2025 in NYC, I joined a panel tackling the timeless build-or-buy question for pharma AI in clinical development. Our consensus: a "build with" strategy — co-developing with selected strategic AI startup partners — strikes the right balance between speed, fit, and long-term value.

14 Jan 2025 · 1 min read

One of the first tech-bio deals coming out to JPM this year: Insilico Medicine and MENARINI Group...

One of the first tech-bio deals out of JPM this year sees Insilico Medicine and MENARINI Group deepen their partnership around an AI-discovered asset — not an AI platform — potentially worth up to $550M. I'm curious which business model will emerge as the leader for AI-techbio companies: selling AI platforms and services, or developing your own pipeline.

5 Dec 2024 · 1 min read

Interesting insights on the use of GenAI in Healthcare, from Bayer's Guido Mathews, Medtronic's I...

Interesting insights on the use of GenAI in Healthcare, from Bayer's Guido Mathews, Medtronic's Irina Evstifeeva and Karista's Amine Benmoussa at Health Tech Forward in Barcelona. From drug discovery and digital twins to medical imaging and workflow efficiency, the panel surfaced where GenAI is maturing — and where it still has a long way to go.

4 Dec 2024 · 1 min read

A truly interesting panel at Health Tech Forward on Automation in Clinical Trials with insilco t...

I attended a fascinating panel at Health Tech Forward on Automation in Clinical Trials featuring in-silico trials and digital twins. Speakers from QuantHealth, a leading VC, and United Therapeutics shared how AI is cutting trial lengths, replacing animal models, and opening new doors for orphan disease research.

18 Nov 2024 · 1 min read

Some really interesting news from Sanofi recently, in the hot AI in clinical trials space: Format...

Formation Bio, in collaboration with Sanofi and OpenAI, has introduced Muse, an AI-powered tool designed to optimize patient recruitment in clinical trials. I think it will be fascinating to watch how this three-party collaboration — Big Pharma, Health Tech, and Large Tech — evolves, and I wouldn't be surprised to see more of these partnerships emerge in the coming year.

9 Oct 2024 · 1 min read

A truly interesting talk from Gilead's Patrick Loerch on creating real AI value in Biopharma at ...

At BiotechX in Basel, Gilead's Patrick Loerch outlined what it really takes for AI to create value in biopharma — from systemic business impact to decision-making influence. I found his take on centralized vs. distributed AI models, regulatory coordination, and clinical value chain opportunities particularly compelling.

2 Jul 2024 · 1 min read

PharmaTech is increasingly becoming a category on its own, with PitchBook's Kazi Y. Helal, PhD e...

PharmaTech is increasingly becoming a category on its own, with PitchBook launching a dedicated research report and Q1 2024 seeing $749 million in funding across 39 deals. I think it's worth examining how they define the category, given the interesting mix of CDMO/CMO activities and AI enablement they cluster together.