Key Article Takeaways
- AI adoption across healthcare is growing, but buyers are demanding clearer evidence of ROI, workflow fit and relevant domain expertise.
- Effective communications make the expertise behind a company’s use of AI visible through specific market insights, customer evidence and credible executive perspectives.
- A long-term communications strategy should build a consistent association between the company, its domain expertise and the healthcare challenge it is equipped to address.
Healthcare marketers face a difficult contradiction: interest in AI has never been higher, but simply talking about the technology does little to distinguish one company from another.
Rock Health found that AI-enabled companies accounted for 50% of U.S. digital health funding deals in 2025 and captured 54% of total funding. Meanwhile, a 2025 Bain & Company and KLAS Research study found that 70% of providers and 80% of payers have an AI strategy in place or under development.
These figures point to a market that is embracing AI but also becoming more selective about it. Healthcare buyers are looking beyond technical potential to ask whether an organization understands their environment, can fit into real workflows and can produce measurable results.
That puts pressure on marketing teams to demonstrate that AI is not simply a plug-in added to an existing story. The company must show that its technology is informed by genuine domain expertise and designed around a healthcare problem it understands deeply.
What Has Changed in How Healthcare Buyers Evaluate AI?
Healthcare organizations are moving from early experimentation toward more disciplined AI investment. The question is no longer whether AI can help transform healthcare. It is where AI can deliver meaningful value, what it takes to implement successfully and which companies can be trusted to support that work.
McKinsey found that 50% of healthcare leaders surveyed in late 2025 said their organizations had already implemented generative AI. Yet only 45% of those organizations had quantified ROI.
That gap matters for marketers. Buyers are likely to scrutinize claims more carefully when many organizations can describe an AI vision but fewer can demonstrate its impact. Broad promises about efficiency, automation and better experiences may earn initial attention, but they do not answer the questions that influence confidence and purchasing decisions:
- Does this company understand the clinical, operational or financial problem in sufficient depth?
- Can it explain how healthcare organizations should approach that problem—not just how its technology works?
- Does it have evidence that its approach produces meaningful results?
- Can its leaders contribute credible insight as the market evolves?
These are marketing and communications questions as much as product questions.
Why Is So Much AI Messaging in Healthcare Starting to Sound the Same?
Many healthcare companies still market AI from the technology outward. Their communications begin with a capability and then attach familiar benefits: reduced burden, streamlined workflows, improved productivity or better patient experiences.
Those benefits may be valid, but they are also widely claimed. When companies rely on the same language, their distinct expertise becomes difficult to recognize. A buyer may understand that a company uses AI without understanding why that company is especially qualified to solve the problem at hand.
Generic AI advice creates a similar issue in thought leadership. Commentary about adopting AI responsibly, keeping humans in the loop or preparing for transformation is broadly agreeable, but it rarely establishes a differentiated point of view. The most credible healthcare leaders go further. They identify the operational realities others overlook, explain the tradeoffs involved and offer a perspective that could only come from sustained experience in the field.
The goal is not to mention AI less. It is to make the healthcare expertise behind the AI more visible.
What Happens When Marketing Fails to Demonstrate Domain Expertise?
Simply put, AI can support the story, but it cannot substitute for the story. When domain expertise is missing from the narrative, marketing can unintentionally make sophisticated companies look interchangeable.
That affects more than brand awareness. Journalists have less reason to seek out an executive whose perspective resembles everyone else’s. Analysts and industry influencers have fewer distinctive ideas to associate with the company. Buyers may remember the category promise but not the organization making it. AI-powered search and discovery tools also have less substantive, differentiated information from which to understand the company’s authority.
The result is a credibility gap between what the company may know and what the market can actually see.
Closing that gap requires communications to do more than promote technology. Marketing must translate internal knowledge into external proof: a clear understanding of the problem, a defensible point of view about how the industry should address it and evidence that the company can help produce results.
How Can Healthcare Companies Make Their Expertise More Visible?
Healthcare companies can build a more credible and differentiated position around AI by focusing on four communications priorities.
1. Define the healthcare problem the company is qualified to own
Start with a specific clinical, operational or business challenge—not the AI capability. Identify what the company understands about that problem that others may miss, why common approaches fall short and what must change for healthcare organizations to make progress.
This gives the company a durable narrative that is larger than any single product announcement. It also provides a consistent lens for media relations, contributed content, executive speaking, customer stories and owned content.
2. Turn domain knowledge into a distinctive point of view
Executives should contribute insight that helps the market make better decisions. Rather than repeating general AI principles, they can address the nuances of adoption in their area of healthcare: workflow implications, implementation barriers, change management, governance, measurement or the unintended consequences of getting the strategy wrong.
Strong thought leadership should make a reader think, “This company understands the environment in which its AI has to work.”
3. Use customer evidence to substantiate expertise
Customer stories should do more than confirm that an organization uses the technology. They should show how the company diagnosed a meaningful problem, adapted to the realities of the healthcare setting and contributed to measurable progress.
Evidence may include adoption, clinician time saved, financial impact, patient throughput, satisfaction, workflow improvement or expansion of a program. Just as important is the context behind the result: what made the problem difficult, which assumptions had to change and what others can learn from the experience.
4. Measure whether the market recognizes the intended expertise
Coverage volume alone cannot show whether a differentiated position is taking hold. Measurement should examine whether priority messages appear in coverage, which strategic themes audiences associate with the company, where executives are gaining authority and how the organization appears in traditional and AI-powered discovery.
The objective is to create a consistent and measurable link between the company, its domain expertise and the healthcare problem it is best equipped to solve.
What Should a Long-Term AI Communications Strategy Accomplish?
Healthcare companies do not need more generic AI marketing. They need communications that make their knowledge, evidence and strategic relevance unmistakable.
As buyers become more experienced and demanding, the strongest narratives about AI in healthcare will not begin and end with the technology. They will demonstrate why a company understands a consequential healthcare problem, what it has learned from addressing that problem and why its perspective deserves a place in the industry conversation.
That is how healthcare companies can distinguish themselves from the growing number of organizations promoting AI and begin building durable market authority.
A strategic healthcare communications program can help companies turn domain expertise into differentiated thought leadership, customer evidence, earned media and measurable market visibility.