AI or Die: Can Pharma Outrun Its Own Resistance to Digital Evolution?
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Science CDO - Head of AI/ML for Drug R&D ??- Bridging Science ??, Data ??, and Technology (AI) ?? to Help Life Sciences Companies Bring Better Products ?? to Market Faster - Linkedin Pharma Top 1%
A Reflection on Siloed Success and Resistance to Change
In my previous article, I explored how siloed optimization in Pharma R&D during the 1990s dramatically reduced drug failures linked to pharmacokinetics (see bar chart above). While this approach worked then, Michael Schorpp made good comments highlighting a modern paradox: Why do leaders cling to siloed practices when the future demands collaboration and digital transformation? More critically, why is “doing the right thing” so rarely rewarded in corporate careers?
This question strikes at the heart of organizational inertia, especially in industries like Pharma, where the stakes (and timelines) are extraordinarily high.
The Altruism vs. Advancement Dilemma
Michael’s quip, “altruistic thinking will very rarely end up in an executive position,” is both cynical and uncomfortably accurate. In my own career, I’ve witnessed leaders ascend by mastering the art of “managing up”: prioritizing narratives that please superiors over addressing glaring inefficiencies. Teams begged to sunset dead-end projects or rethink bloated data platforms with no ROI, yet leaders doubled down. Why?
Short-term incentives. These managers hit quarterly targets, avoided rocking the boat, and advanced smoothly. Their success wasn’t tied to long-term sustainability but to maintaining the status quo. As one colleague quipped, “No one gets promoted for preventing a crisis that hasn’t happened yet.”
This mirrors Kodak and Nokia’s downfalls: executives clung to film and flip phones to protect legacy revenue streams, even as disruption loomed. The “right thing” (innovation) clashed with short-term metrics (profit margins).
Why Pharma’s Digital Transformation Feels Like Pushing a Boulder Uphill
Pharma faces a similar inflection point. TechBio startups now compress discovery and pre-clinical timelines from 5-6 years down to 18 months using AI and data-driven approaches. Yet, in traditional Pharma, resistance persists:
The result? A cultural chasm between grassroots innovators and C-suites. Digital champions at lower levels battle inertia, while leaders who could drive change often lack incentives to do so.
The Kodak Paradox in Pharma: Lessons Unlearned?
Kodak’s fatal error wasn’t ignoring digital photography—it was prioritizing short-term film profits over long-term survival. Pharma risks repeating this if leaders equate today’s success with tomorrow’s relevance. Consider:
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The problem isn’t awareness—it’s alignment. When KPIs and bonuses reward siloed outputs (e.g., “deliver Phase X on time”) over cross-functional collaboration or AI readiness, progress stalls.
FOMO as a Catalyst: The Unlikely Hero of Change
Michael’s insight about FOMO (Fear of Missing Out) offers a pragmatic path forward. Departments that invested early in data quality are now reaping AI dividends, creating envy among peers. Leaders who “did their homework” are lauded, triggering a chain reaction:
This isn’t altruism—it’s career calculus. But it works.
The CEO’s Role: Aligning Incentives with Transformation
For systemic change, leadership must come from the top:
Without structural incentives, even well-intentioned employees hit walls.
Conclusion: Rewriting the Rules of Corporate “Success”
The clash between short-term careerism and long-term innovation isn’t unique to Pharma—but the industry’s slow burn (10+ year pipelines) makes it uniquely vulnerable. To avoid Kodak’s fate, we must:
As Michael aptly noted, altruism alone won’t dismantle silos—but ambition, envy, and a CEO-mandated roadmap just might.
What’s your take? Have you seen FOMO drive change in your organization—or watched “managing up” eclipse meaningful transformation? Let’s discuss.
Data shepherdess: Empowering Science through freelance data stewardship
2 周People are the key in any changes. If they have fears for their jobs or even just fear of the change itself, stuck in habits, then they will resist. Explaining what is in it for them is step number 1. But yes, the data silos need to come down...
Engineer with a business skills | Background in AI and Data
1 个月Very interesting insights. Innovation and growth should be key.
Science, innovation and influential communication
1 个月As usual good insight! I believe that quarterly strategies are never effective, especially in innovation, which demands a long-term vision rather than a focus on short-term profits. Those who still operate solely within trimester timeframes cannot truly call themselves innovators.
Uncertainty Master | Opportunities Explorer | Productivity Scout | Deeptech Advocate | Globalization Believer
1 个月Innovation happens if there is either unbearable pain where easy band-aids don't help anymore or where there is personal ambition (incl. risk taking) for growth outside the box as well as fear of failing ambitions. Rational business cases with cost-benefit and risk analysis rarely do the job to moving the needle. FOMO addresses the fear of failing ambition. Not necessarily a positive driver. I wouldn't count on the CEO. He is part if the crowd. Its not just the case in pharma. A more positive approach is building trust with decision makers that a change would not kill their ambitions. How can you de-risk the change agenda?