The Use of AI in Pharmaceutical Commercialization: Insights from the Field

AI adoption in pharmaceutical commercialization is accelerating but results are uneven, confidence is often misplaced, and most teams are using tools that were never built for the decisions they’re making. This report brings together survey data from 150 senior biopharma executives to give the clearest picture yet of where the industry stands and what it will take to get AI right across forecasting, competitive intelligence, dealmaking and portfolio strategy.

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How are biopharma’s commercial teams really using AI and is it working? That is the question Evaluate set out to answer by partnering with BioPharma Dive to survey 150 senior decision-makers across the US, UK and Canada, representing companies with over $100 million in annual revenue and a broad range of commercial functions.

The findings are striking. Confidence in AI is high across the industry. But when you look at what that confidence is based on, the tools being used, the data those tools are trained on, and the results teams are actually reporting a more complicated picture emerges.

This report covers seven key findings across the commercial functions where AI is being adopted fastest including forecasting, competitive intelligence, dealmaking and portfolio strategy. It examines not just what teams are doing with AI today, but where the gaps are, what the risks look like in practice, and what the next three years are likely to bring.

For pharma companies assessing their own AI strategy, and for investors tracking how the commercial side of the market is evolving, this is essential context.

This report findings include:

  • 97% of executives agree AI improves decision-making – but only 9% call it transformational.
  • 95% of biopharma companies rely on general-purpose AI tools like ChatGPT.
  • 69% trust AI forecasts more than traditional ones, yet accuracy ranks low as a benefit.
  • AI is being tested across multiple use cases, but ROI remains uneven.
  • 71% believe AI will have greater influence over portfolio strategy in future.

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Frequently Asked Questions

The report covers seven key findings from a survey of 150 senior biopharma executives on how their organizations are using AI across commercial functions including forecasting, competitive intelligence, dealmaking and portfolio strategy. It is relevant to pharma companies of all sizes assessing their AI strategy, as well as investors tracking the commercial side of the biopharma market. The research was conducted by Evaluate in partnership with BioPharma Dive in 2026

The report finds that AI adoption in biopharma commercial teams is widespread but immature. Most organizations describe their adoption as early or developing. There is broad confidence that AI is improving commercial decision-making, but far fewer executives describe its impact as truly transformational. The gap between confidence and outcomes is one of the report’s central themes and the research identifies the specific reasons behind it.

Unlike general-purpose tools, Evaluate’s AI platforms are built on over 30 years of curated, pharma data sourced through proprietary processes rather than the open web. Every output is traceable and methodologically defensible, making it suitable for the licensing decisions, forecasts and portfolio bets where accuracy and accountability matter most. The report explores in detail why this distinction is becoming a competitive differentiator for commercial teams.

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