Scaling AI in Pharma and Healthcare: Why Goals and Ownership Matter as Much as Data


ZS's 2026 survey of 115 pharma and biotech technology leaders found the top barriers to scaling AI were data quality and governance (68%), unclear objectives (67%) and gaps in business ownership (63%). Fixing those three comes before choosing a model.
What is stopping pharma and healthcare teams from scaling AI?
Three things that are not about the model. In ZS's 2026 research, based on a July 2025 survey of 115 US-based technology executives at multinational pharma and biotech firms, 68% cited data quality and governance, 67% cited unclear objectives and 63% cited gaps in business ownership. Only the first is purely technical. The other two are about who decides what success looks like.
Why do unclear goals slow AI down?
Because without a measurable target, nobody can say whether a pilot worked. "Use AI in clinical operations" is a direction, not a goal. "Cut the time to prepare a monthly safety report" is a goal. Write down the number you expect to change and the date you will check it, before any build starts.
Who should own an AI project?
A business leader, not only the technology team. The person who owns the process should own the result, and the technology team supports. This also helps when rules or approvals are involved, since someone is accountable for the output. What Is Technology Advisory and Why Enterprise Leaders Hire Independent Consultants Before Making Platform Decisions explains when outside advice helps set that up.
How does data governance fit in?
It decides whether people trust the results. Clear rules on who owns a dataset, who can change it and how it is checked keep outputs defensible. Data Governance Is Not a Compliance Exercise. It Is What Separates Useful AI From Expensive AI. covers the practical steps.
What changes with agentic AI?
Systems that take actions, not just give answers, raise the stakes on all three barriers. Gartner's Predicts 2026 research on healthcare says agentic AI will transform the provider workforce, operations and experiences, "for better or worse". That makes clear permissions and human review essential. Agentic AI: The Next Evolution in Intelligent Software Systems introduces the idea, and Why Most AI Pilots Never Scale Past the Pilot Stage shows what usually goes wrong after the pilot.
FAQs
Why do AI projects stall in pharma?
ZS's 2026 survey points to weak data quality and governance, unclear objectives and missing business ownership as the leading barriers.
Who should own an AI project in a healthcare or pharma company?
A business leader who owns the process the AI supports, with the technology team as a partner.
How do you set a good goal for an AI pilot?
Name the specific measure that should change, such as report preparation time, and set a date to check it.
What is agentic AI in healthcare?
It describes AI systems that can carry out tasks, not just answer questions. Gartner expects it to change healthcare provider workforces, operations and experiences.
Author Name - Mrunalini Wankhede