I'm convinced the best AI is fast becoming something almost all companies can buy on equal terms.
Bristol Myers Squibb standardized on Anthropic across its operations. Novo Nordisk and Amgen are building on OpenAI. Moderna too. The list keeps growing. The models will differ, but soon the model alone will rarely be enough to separate one company from another.
The more I read, think, and work with life sciences organizations, the more convinced I become that lasting advantage will come from something deeper than access to AI.
Data matters. Every organization has its own history: decisions made, experiments run, failures absorbed, regulatory paths taken, handoffs managed, and lessons learned the hard way.
But data becomes powerful only when an organization can use it to see what is happening now, understand what matters and why, and act before the moment passes.
That requires a different kind of capacity.
It is Organizational Intelligence.
The ability of an organization to perceive the capability inside it, coordinate that capability toward a shared goal, and learn from every decision it makes.
Perceive. Coordinate. Learn.
When AI is everywhere, the companies that pull ahead will be the ones that turn their people, knowledge, judgment, and memory into action faster than everyone else.
Here are the first principles behind my conviction, and why I believe this is the path worth committing to for the foreseeable future.
https://lnkd.in/gAcNzBh8
#OrganizationalIntelligence #AI #LifeSciences
I like how this shows patient impact as a shared effort across the whole organization - from research and AI to manufacturing and project leadership. When people can see how their work connects to the purpose, it creates not only stronger innovation, but also pride, orientation and a shared sense of impact.