Cotiviti and MedCity News just published the 2026 Healthcare AI Readiness Index revealing fascinating insights, including a striking contradiction.
AI adoption is essentially universal in healthcare. Investment in AI is accelerating, and executives clearly see operational value. Yet only a minority feel prepared for AI-enabled cyberthreats. Less than 40% have detailed governance policies, more than 60% of respondents report shadow AI usage, and most still require human oversight for the highest-consequence decisions.
Healthcare doesn’t have an AI adoption challenge. It has an AI readiness challenge. Governance, cybersecurity, and human oversight are all evidence of the broader gap between AI adoption and readiness. This gap may be the most important risk that healthcare executives aren’t measuring.
Webinar: Healthcare executives discuss AI readiness and the risk of cybersecurity threats
Wednesday, September 30 at 1 pm ET
To evaluate AI readiness, foundational questions to ask include:
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Do we really know where AI is operating within our enterprise if shadow AI is present?
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What should responsible oversight look like if employees can adopt AI faster than governance teams can write policies?
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Who owns the risk if our AI vendor creates a compliance issue tomorrow?
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Are we measuring AI success by productivity metrics while ignoring resilience metrics?
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What would happen if regulators asked us to explain every AI-influenced decision we made today? Could we?
If your answers aren’t immediate and definitive, then proactive resolution is critical, especially if your organization is accelerating its AI investments as many are.
“More than 90% of payer and provider respondents expect their organizations to increase investments in AI and/or cybersecurity over the next year.” — 2026 AI Readiness Index
From adoption to readiness
Most discussions on AI start with capabilities. Executives should start with capacity.
Instead of asking, “What can AI do?” the question should be, “Are we capable of absorbing AI responsibly?” Deployment and readiness are very different, and too often we mistake activity for preparedness. Pilots are mistaken for strategy, adoption is called transformation, usage assumes governance, and productivity gains are confused with resilience.
The AI Readiness Index survey presents data that indicates many are at risk of entering this "not ready" danger zone.
A leadership discussion
Despite clear AI enthusiasm, healthcare leaders are drawing boundaries around human judgment, acknowledging that certain decisions will always require human review.
While healthcare has largely decided that AI belongs, what remains uncertain is whether organizations are prepared for the consequences of that decision. There are discussions to be had around any number of relevant topics from clinical judgment to appeals, trust to regulatory scrutiny, and governance to human-first operating models.
We know that AI can make recommendations. The question is who is responsible when those recommendations are wrong. AI can automate, but healthcare’s future may not belong to those who can automate most. It will more likely belong to those who understand what should never be automated to begin with.
“While the majority of respondents have some policies to govern employee use of AI, less than 40% have detailed policies in place.”
— 2026 AI Readiness Index
Final thoughts
Healthcare has largely moved past the AI adoption debate, but the AI readiness gap has surpassed the technology gap. Challenges like shadow AI usage are a leadership signal, not an employee problem, and governance must become an operating capability, not a compliance exercise.
While many industries discuss AI as a replacement conversation, healthcare must frame it as an accountability conversation with a mandate to scale trust as quickly as they scale AI. Those who are most prepared for what happens after AI deployment will be best positioned for sustainable and secure success.
To learn more, I invite you to join us for our upcoming webinar with MedCity News next Wednesday, September 30 where we'll be reviewing AI readiness and the risk of cybersecurity threats. Hope to see you there!
