A recent report released in Q2 2026 delivers a strong and seemingly concerning message for private equity investors: the once-attractive revenue cycle management (RCM) sector faces profound disruption from agentic artificial intelligence, specifically Agentic AI. The report projects that the overall RCM revenue pool could shrink by more than 50% by 2040, even under relatively slow adoption scenarios, as AI automates labor-intensive processes that have long supported high take rates.
As explained in PitchBook’s latest insights, RCM encompasses the administrative workflows that healthcare providers use to handle patient registration, insurance claims, billing, collections, and denial management.
For years, this area attracted significant PE interest due to its recurring revenue characteristics and potential for margin expansion through outsourcing and basic automation.
Since 2017, global PE deal activity in RCM has totaled roughly $42.9 billion, with $22.5 billion in exits.
A major transaction announced in June 2026—a $12 billion acquisition of a prominent RCM platform—further underscored continued investor appetite.
The core warning centers on agentic AI, which can independently manage complex, multi-step tasks such as claims adjudication, coding, and follow-up collections.
These capabilities directly target the outsourced labor model that has historically justified RCM providers charging 4–5% of net collections.
PitchBook forecasts that cost-to-collect ratios could fall below 1%, prompting a broader shift toward subscription-based pricing.
Under assumptions of 7% annual growth in provider revenues, the industry’s revenue pool is expected to decline to 78% of 2026 levels by 2030 and just 46% by 2040.
Private equity firms have typically modeled AI adoption as a tailwind that would lift gross margins from the current 20–30% range to 60% or higher by replacing human labor while preserving customer relationships as a competitive moat.
The research report from PitchBook challenges this view. Integrated solutions from electronic health record vendors and AI-native startups can deliver RCM functionality as an incremental feature within existing platforms, avoiding the legacy cost structures of traditional RCM specialists.
This dynamic allows competitors to capture value without bearing the full burden of standalone operations.
Market signals already reflect mounting pressure. One large health system recently terminated a nearly $2 billion RCM outsourcing contract early and moved toward an insourced AI-driven model.
A leading near-AI-native RCM company has experienced sharp share-price declines year-to-date despite respectable organic growth, illustrating investor skepticism about sustained pricing power.
Venture activity reinforces the shift.
Numerous AI-focused RCM startups specializing in autonomous coding and claims automation have raised substantial capital, with some receiving direct investment from hospital systems seeking greater internal control.
These developments suggest providers are increasingly bypassing traditional vendors in favor of embedded or native AI tools.
For PE sponsors, the implications are significant.
Many existing RCM portfolio companies have already been held for extended periods, and further aging assets face heightened risk from margin compression and a contracting addressable market.
While data assets and established provider relationships may offer partial protection, the report recommends greater selectivity.
Investors should prioritize opportunities in deeply integrated platforms or pure-play AI innovators rather than traditional RCM plays whose economics are being fundamentally altered.
PitchBook positions agentic AI not merely as an efficiency tool but as a structural force reshaping RCM economics. Private equity participants are advised to reassess timing, integration potential, and competitive positioning before committing additional capital to a sector once viewed as a reliable performer.
