American healthcare has a structural problem that no amount of medical innovation can fix.
The business model is broken at the foundation.
Under fee-for-service medicine, providers earn revenue when patients are sick. Every visit generates a billing code. Every test produces a claim. Every procedure adds to the bottom line. Keeping someone healthy generates nothing.
This isn't a conspiracy. It's not malicious intent. It's a business model. And business models shape behavior at every level of a system.
Between 2022 and 2024, spending on hospital care alone hit $277 billion, representing 40% of overall growth in national health expenditures. It outpaced every other category including physician services and prescription drugs. Physicians themselves report that 20% of medical care is unnecessary, including 22% of prescribed medication, 25% of tests, and 11% of procedures.
That over-treatment is a direct result of the incentive structure. The system rewards doing more, not doing better.
But something fundamental is changing. AI is enabling value-based care at scale for the first time. And that shift is creating an entirely new economic category of businesses that profit from keeping populations well.
Why Value-Based Care Failed Before AI
Value-based care has existed as a concept for decades. The idea is simple: pay providers based on patient outcomes, not the volume of services delivered.
It never scaled.
The reason is operational, not philosophical. Value-based care requires three capabilities that were economically impossible before AI:
Real-time population health monitoring. You need to track thousands of patients continuously, not just when they show up for appointments.
Predictive risk stratification. You need to identify who will get sick before symptoms appear, so you can intervene early when treatment is cheaper and more effective.
Continuous patient engagement. You need to keep people connected to care between visits, when most health decisions actually happen.
Traditional healthcare infrastructure couldn't do any of this at scale. Electronic health records were built for billing, not prevention. Care coordination required armies of case managers making phone calls. Risk prediction was guesswork dressed up as actuarial science.
AI changes the economics completely. It makes all three capabilities not just possible, but scalable and sustainable. AI is proving to be not just a reporting tool but the operational backbone that makes value-based care clinically impactful across the healthcare ecosystem.
The Business Categories Being Created
When the incentive flips from illness to wellness, you get fundamentally different business models. Four categories are emerging fast.
Employers Self-Insuring with AI Platforms
Large employers are tired of writing blank checks to insurance companies. Health benefit costs are projected to rise nearly 9% in 2026. Average employer-sponsored premiums reached $9,300 for single coverage and approximately $27,000 for family coverage in 2025.
Self-insured organizations are taking direct financial responsibility for employee healthcare. When they do, they gain unprecedented visibility into utilization patterns, cost drivers, and clinical outcomes. Lower claims mean direct savings.
The combined Transcarent-Accolade organization now serves over 20 million members and more than 1,700 employer and health plan clients. These platforms use AI to predict which employees are at risk for expensive conditions, then intervene proactively with personalized outreach, care navigation, and condition management programs.
The financial incentive is perfectly aligned. Keep the workforce healthy, and costs go down. Let chronic conditions spiral, and claims explode.
Digital Health Subscription Platforms
Hims & Hers reached $872 million in sales and doubled its customer base to 1.9 million subscribers in two years. That's 43% subscriber growth. 82% of customers stay longer than three months.
One Medical offers 24/7 virtual care and in-office visits for a flat fee. It served over one million members by mid-2025.
These platforms flip the traditional diagnostic care model. Instead of waiting until someone gets sick and then treating the condition, they focus on prevention. Subscriptions cover consultations, medications, and treatments. The business profits when patients stay healthy and renew, not when they need expensive interventions.
Hims & Hers built a system called MedMatch that analyzes millions of anonymous data points from customer interactions. It suggests the best treatments using real-time data analysis. The platform is now in beta testing for mental health services, helping providers pick optimal treatment formulations, dosage strengths, and delivery methods for each patient.
The traditional healthcare model centers around diagnostic care. Doctors focus on treating a condition once you already have it. These subscription models flip the incentive. Providers profit when patients stay healthy, not when they get sick.
AI-Driven Chronic Disease Management Companies
Chronic diseases like diabetes, hypertension, and heart failure drive the majority of healthcare spending. Managing them effectively requires continuous monitoring and early intervention.
AI algorithms scan electronic health records to identify patients at high risk for conditions like heart failure before symptoms appear. AI-powered remote monitoring systems reduce hospital readmissions by up to 76%.
These companies get paid based on outcomes, not visits. If they prevent a hospitalization, they capture a share of the savings. If they reduce emergency room visits, they get compensated for the value created.
The business model only works if the technology actually improves health. That alignment is what makes it sustainable.
Insurers Shifting to Outcome-Based Contracts
Insurance companies are starting to structure contracts with providers based on clinical outcomes and cost efficiency. Instead of paying per procedure, they pay based on episode costs and quality metrics.
AI makes this operationally viable by tracking outcomes across entire patient populations, not just individual encounters. Insurers can now measure whether a provider's patients are healthier, happier, and less expensive to care for over time.
The shift is slow, but the direction is clear. The companies that build the infrastructure to manage outcome-based contracts will capture enormous value as the fee-for-service model erodes.
The Investment Thesis: Business Model Disruption, Not Healthcare Technology
Most people frame this as a healthcare story. It's not.
It's a business model disruption story. The companies building the infrastructure layer between patients and the traditional system are capturing enormous value as employers seek alternatives to unsustainable cost growth.
By 2025, the subscription economy in healthcare contributes to a market valued at over five hundred billion dollars, growing at a 13.3% compound annual rate.
The investment opportunity is in the platforms that enable the transition. AI-powered care coordination tools. Predictive analytics systems. Patient engagement platforms. Remote monitoring infrastructure. Outcome measurement frameworks.
These are not medical devices. They are business infrastructure. And they are becoming essential as the economic incentive shifts from volume to value.
When Incentives Align with Outcomes
The drivers of high healthcare costs are well known: expensive medical technologies, high prices for drugs and services, administrative complexity, fee-for-service incentives, and a population burdened by chronic disease.
AI is not solving all of those problems. But it is solving the incentive problem. And when the financial incentive of a system aligns with the human outcome, you get a fundamentally different kind of innovation.
Providers start investing in prevention because it improves their margins. Employers start prioritizing employee wellness because it reduces their costs. Insurers start rewarding quality because it lowers their risk.
That alignment is what makes this shift inevitable. The economics finally make sense.
The companies that recognize this early and build the infrastructure to support it will define the next decade of healthcare. Not because they have better technology. Because they have a better business model.
And in the end, business models always win.
