Healthcare Costs Set to Rise 9% in 2027 as AI Coding Tools Add Pressure
Commercial healthcare costs are projected to rise 9% in 2027, the highest medical cost trend in nearly two decades, as health plans cite AI-powered documentation and coding tools as a leading inflator, according to a PwC survey of 27 health plan actuaries. Nearly 70% of respondents ranked AI documentation and coding products among the top three cost drivers for next year, with about 20% naming AI the single biggest inflator. PwC’s Glenn Hunzinger explains that AI lets providers capture more complete, reimbursable documentation, recording diagnoses and complexity that may have previously gone uncoded, without a proportional increase in actual care intensity. Provider contracting leverage from consolidation and No Surprises Act arbitration outcomes are also cited as contributing trends.
For multi-site operators, AI-assisted coding isn’t just a billing efficiency play. Payers are now treating it as a cost driver to negotiate against, so groups adopting these tools should expect more documentation scrutiny and contract pushback during renewal cycles, not just faster claims.
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Why do health plans say AI documentation tools are raising healthcare costs in 2027?
PwC’s survey of 27 health plan actuaries found nearly 70% rank AI-powered documentation and coding tools among the top three drivers of 2027’s projected 9% cost trend. The tools let providers capture more complete, reimbursable documentation, more diagnoses and complexity coded per visit, without a matching rise in actual care intensity.
How big is the projected 2027 medical cost trend increase?
PwC projects a 9% group medical cost trend and 8.5% individual market trend for 2027, the highest level in nearly two decades. The increase reflects AI-driven coding intensity alongside labor and supply costs, provider consolidation leverage, and No Surprises Act arbitration outcomes.
Is AI expected to ever lower healthcare costs instead of raising them?
PwC’s Glenn Hunzinger says AI could eventually bend the cost curve by automating administrative work and reducing provider burnout, but cautioned that innovation takes time in a highly regulated industry. For now, AI’s main measurable effect is higher reimbursement through more complete documentation, not lower costs.