The AI in Business Podcast Rethinking How Life Sciences Organizations Approach AI - Mathias Cousin of Deloitte
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Oct 15, 2025 Mathias Cousin, Managing Director at Deloitte, shares his insights on leveraging AI in life sciences. He addresses common misconceptions around AI adoption, highlighting the importance of data quality and AI-native talent. Mathias introduces the concept of 'string of pearls' use cases, which link multiple AI applications for maximum value. He discusses the potential of productive hallucinations in creative discovery and outlines cultural barriers to AI integration. Listeners gain actionable strategies for R&D leaders to enhance efficiency and drive impactful change.
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AI Value Requires Organizational Alignment
- AI adoption is harder than hype suggests because data, models, infrastructure, and talent must all align.
- Disillusionment follows when leaders underestimate organizational complexity and time to value.
Census Drop Shows Early AI Disillusionment
- Mathias notes U.S. Census data showing AI usage in organizations above 250 employees fell from 14% to 12%.
- He uses this to illustrate a market-wide disillusionment after early hype.
Focus On Few Transformative Use Cases
- Focus investments on a few transformative AI uses tied to business priorities and high-quality data.
- Avoid spreading resources thin across many low-impact experiments that lack scalability.