The Role of Artificial Intelligence in Modern Pharmaceutical Development and Marketing
30th June 2026 by Sharaz Luke
by Henry G and Lucy F (as part of a 4-day internship).
Introduction
As work experience
participants at differing stages, (Lucy with A-levels, Henry a recent biochemistry graduate), medDigital asked us to explore one of the most
significant shifts in the pharmaceutical industry: the rise of Artificial
Intelligence.
AI is not a
prospect for pharma, but is already integrated throughout all levels of the
industry, and its potential is huge. Research suggests it has the potential to
generate $254bn in additional annual profits across the sector by 2030.
Understanding what this means was one of the driving factors behind our work.
In the lab
The impact of AI
on drug development is maybe the most compelling aspect of the story. Tools
such as AlphaFold are transforming drug discovery by predicting protein
structures in a fraction of the time required previously; AI models can
anticipate how a drug will behave in the body before costly clinical trials
begin; and clinical trials are becoming more precise, with AI improving patient
selection methods and study design. Altogether, this produces a streamlined
industry primed to get drugs to market with optimal efficiency.
Beyond the lab
AI’s capabilities
don’t just stop at science. AI can improve efficiency in pharmaceutical office
work by automating tasks such as summarising information, creating
presentations and supporting content production. During our work experience
with medDigital, we explored how these tools can help streamline research,
analyse feedback and improve productivity. This was an insightful reminder that
AI is not just improving what drugs are developed, but how they reach the
people that need them.
The ethical
considerations
The more we
researched, the clearer it was that AI’s huge potential is wrapped up with a
range of real responsibilities. Data privacy, algorithmic bias, and the need
for transparency in how AI makes decisions are some of the active challenges
that must be managed carefully. The consensus we reached was that AI should
enhance human expertise, not replace it. Every output must involve informed
human review.
What this week
taught us
Coming into medDigital, new to this environment, we were surprised at the degree to which AI is already incorporated into the industry. Translating this into a report, LinkedIn post and this blog, whilst maintaining complexity, turned out to be a challenge, and one we found genuinely captivating.