CEO Guide for AI in Pharma

The Decision Desk · CEO Guide · AI in Pharma · September 2026 Edition
Ten Decisions

From AI Activityto AI Advantage.

Ten choices on capital, use cases, people, IP and governance that determine whether AI creates measurable advantage in Pharma, not just measurable activity.

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What's inside the guide
01Posture: how aggressively should we move?
02Capital: where should we place our AI bets?
03Work: automate, augment or reinvent?
04People: what does AI mean for our workforce?
05Proprietary: what must remain ours?
06Technology: what should we actually own?
07Data: how much data work is really necessary?
08Governance: move fast without losing control
09Value: how do we know it is working?
10Agenda: the next 12 months
CEO Guide to AI in Pharma, book mockup
10 CEO-level questions From capital allocation to workforce redesign to governance.
Built on primary research Bain, McKinsey, Deloitte, BCG and EY, 2024 to 2026.
A 12-month agenda Six concrete moves you can start this quarter.

Only 5% of surveyed life-sciences organizations describe gen AI as a consistent competitive differentiator, despite universal experimentation.

McKinsey, 2025 · cited in the guide

Part of a 5-week series · Week 1 of 5

This is Week 1 of DecisionX's September series on Decision AI in Pharma, covering the CEO agenda, Commercial Excellence, Manufacturing Excellence, R&D Excellence, and a closing case study on what this actually returns.

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CEO Guide to AI in Pharma
The Decision Desk · CEO Guide

CEO Guide for AI in Pharma

Ten decisions. One download. Free, no spam, no sales pitch first.

Backed by Bain, McKinsey, Deloitte, BCG and EY research

The Decision Desk · CEO Guide

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