Pfizer Decentralized Internal AI Development
The 177-year-old drugmaker shifted to a division-led model to speed AI adoption across business lines.
Updated on Sept. 22, 2026 in Healthcare
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Pfizer has moved its artificial intelligence operations away from a central team to a decentralized model where individual divisions manage their own projects. This change aims to reduce organizational inertia as the company seeks to become the most AI-forward business in the sector.
Why it matters
The structural shift addresses the challenge of scaling technology within a legacy firm, allowing divisions to act with greater speed. By decoupling project development from a central hub while maintaining unified software and safety rules, the firm is attempting to streamline innovation.
Pfizer, a 177-year-old pharmaceutical firm, is restructuring its technology division after a 31-year tenure for current CIO Dennis Hancock. The company is now allowing its business divisions to manage independent artificial intelligence projects.
The players
Pfizer
A 177-year-old multinational pharmaceutical corporation that develops and manufactures medicines and vaccines.
Dennis Hancock
The Chief Information Officer at Pfizer with a 31-year tenure who recently received an Executive of the Year recognition.
The details
Under the new structure, Pfizer divisions now manage their own artificial intelligence projects while a central group provides essential software and safety governance. This approach contrasts with the previous centralized team model, specifically intended to overcome organizational inertia regarding legacy processes. The firm aims to leverage this model to increase the speed of integration for new AI applications across its various business functions.
Timeline
Dennis Hancock assumed leadership of Pfizer's technology strategy in 2026.
The Health Answers by Pfizer app was built by Hancock in 2024.
Market Landscape
This reorganization represents a shift from the traditional centralized IT governance models common in large-cap enterprises. It follows a growing trend where established firms decentralize technology management to accelerate the deployment of artificial intelligence.
Operators in large organizations should monitor whether decentralization increases speed-to-market for their own AI pilots. They must balance this autonomy with the central safety and software standards necessary to maintain compliance.
The takeaway
Pfizer’s model underscores the necessity of moving decision-making closer to the business units to overcome systemic inertia. Leaders should evaluate if their central technology teams are serving as a bridge to innovation or a bottleneck that prevents division-level agility.
Further reading
For broader insight into sector-wide digital transformation, explore our Healthcare section.
Source note: This article includes information reported by TIME.
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