CHAPTERS
AI as a once-in-a-generation shift for pharma impact
Sarah Nam frames AI as a transformative technology capable of reshaping every function in pharma, accelerating progress and patient impact. The conversation sets the tone: AbbVie is pursuing AI as a broad, enterprise-level transformation rather than isolated experiments.
Sarah Nam’s remit: enterprise AI strategy + AI partnerships
Sarah explains her role leading AbbVie’s newly created AI Strategy and Partnerships function. She outlines two responsibilities: defining cross-enterprise AI priorities/enablers and driving external innovation/business development related to AI.
Value-chain approach: mapping AI priorities across the biopharma lifecycle
AbbVie organizes its AI efforts by identifying high-value use cases within each function. Sarah describes how this method helps prioritize deployments systematically rather than opportunistically.
Drug discovery focus: scaling biology understanding and therapy design
Sarah details how AI is being applied to understand human biology and to improve design-make-test-validate cycles at scale. She highlights optimization challenges across efficacy, safety, and pharmacokinetics for both small molecules and biologics.
Expanding indications and precision medicine with multimodal data
AbbVie is pursuing AI to drive indication expansion and combination studies by integrating clinical, genomic, and other multimodal datasets. Precision medicine is highlighted as a growth area, starting with digital pathology and expanding toward more personalized delivery of medicines.
Clinical development: smarter trial design and execution automation
The discussion shifts to clinical development, where AI can improve trial design (criteria, adaptive designs, responder subpopulations) and automate trial operations. Sarah also notes AI-driven support for regulatory document workflows and ongoing clinical data surveillance.
Two AbbVie use cases with Anthropic: Genesis for sales effectiveness
Sarah highlights Genesis, a generative AI tool designed to improve sales call planning by integrating and surfacing Salesforce-related tools and insights. Early results indicate meaningful gains in sales force efficiency and effectiveness.
Gaia for clinical document authoring: large efficiency gains
Sarah describes Gaia, an LLM-powered clinical development authoring tool that automates drafting of study documents. Starting with NDA and PSUR documents, the vision is to scale across thousands of document types, with reported 40–60% time savings.
Enterprise transformation realities: change management beyond technology
Ivy and Sarah discuss that deploying AI at scale is as much about people and processes as it is about models. Sarah emphasizes winning “hearts and minds,” redesigning processes, and ensuring adoption across the enterprise.
AbbVie’s change-management playbook: upskill, prove ROI, empower champions
Sarah outlines AbbVie’s approach: AI training at all levels, generating early wins tied to key business metrics, and building domain champions via small AI teams embedded in functions. This structure helps sustain momentum and broaden adoption.
How AbbVie evaluates AI partners: four-pillar diligence framework
Sarah shares a structured framework for assessing AI partnerships, especially in AI-driven drug discovery. The four pillars are strategic fit, technical foundation, management team quality, and external validation/benchmarks.
Advice to pharma leaders: start simple and build momentum
Sarah’s guidance is to begin with a small set of high-impact, achievable use cases that create quick wins. Demonstrated ROI then catalyzes broader transformation and can self-fund the next wave of initiatives.
Next 3–5 years: generative design, agentic multimodal reasoning, stratification
Sarah closes with what excites her most: generative models for de novo design of molecules/biologics, agentic systems that reason over multimodal biomedical data, and improved patient stratification for both discovery and trial design. These advances could reshape how therapies are discovered and developed.
Get more out of YouTube videos.
High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.
Add to Chrome