UnitedHealth Group will invest $3 billion in artificial intelligence across 2026 and 2027, with bots now calling doctors' offices to schedule appointments, summarizing medical charts aloud for nurses, and analyzing millions of customer calls to pinpoint complaint causes. The push sits at the center of the insurer's turnaround plan after profits cratered last year, aiming to shave nearly $1 billion from operating costs in 2025 alone.
The $3 billion efficiency drive
Executives report a two-to-one return on the AI spending as it automates manual processes and lifts worker throughput. "The cost savings potential is clear, particularly for manual, data-intensive processes such as prior authorization," Morgan Stanley analysts wrote in a June research note. They added that UnitedHealth will also profit from selling AI products and services to other healthcare companies.
A flagship example is Optum Real, a system that lets medical providers check in real time whether a service is covered. It has processed roughly a billion transactions since launching last year, replacing phone calls and faxes that still dominate many health plan transactions. The push mirrors a broader shift across the sector, where AI for Insurance is moving from experimental pilots into core operational infrastructure.
Facing public skepticism
Investors have cheered the strategy - shares are up 21 per cent this year after falling more than a third in 2025 - but UnitedHealth must still win over a wary public. A Gallup survey last year found 69 per cent of respondents had little or no trust in businesses to use AI responsibly. Health insurers carry an especially high burden: a KFF poll showed about half of insured Americans have encountered barriers to care including delays and denials.
The company already faces class-action litigation alleging it and others used an algorithm to limit care, including admissions to post-acute facilities. UnitedHealth disputes the claims and says the algorithm wasn't used for coverage decisions. Still, a federal inspector general report found companies using the algorithm, from UnitedHealth subsidiary naviHealth, had higher denial rates - and those denials were almost always overturned when patients appealed.
Public anger over such practices fueled a broader backlash after the 2024 killing of UnitedHealth insurance chief Brian Thompson. The company and its rivals, under Washington pressure, have been removing some prior approval requirements. Tim Noel, who succeeded Thompson as head of the insurance division, said, "You have to gain trust, earn trust through your actions." He added that the changes will "take some time for that to actually be felt by people."
How UnitedHealth governs its AI
The company runs more than a thousand AI applications, supported by 20,000 AI engineers and 117 large language models available to staff, according to Sandeep Dadlani, CEO of the Optum Insight data and technology division. An internal review board - staffed by medical ethicists, clinicians, technologists, and privacy and legal experts - must clear any proposal before a new AI use goes live. Nearly 99 per cent of the applications are administrative, Dadlani said. "We are not getting into diagnostic AI."
Dadlani indicated the technology has not led to job cuts. "We don't have any direct correlation to that," he said. The company does track whether workers use AI at least once a day and has occasionally pulled back an AI model after spotting unintended behavior. "We have all our alerts firing if something's beginning to drift," Dadlani said.
In a rare press event this week at its Minnesota headquarters, UnitedHealth made a direct appeal to change perceptions. Dadlani summed up the guardrail simply: "We only approve using AI. We never deny using AI."
Why this matters for insurance professionals
For people working inside insurance carriers, agencies, and benefits administration, UnitedHealth's $3 billion commitment signals where the industry's largest player is placing its bets. Administrative workflows - prior authorization, eligibility checks, claims documentation, appointment scheduling - are being re-engineered around AI that augments human decision-making rather than replacing it outright. The company's insistence on keeping AI out of clinical diagnosis and its reliance on an ethics-driven review board offers a template that other insurers are likely to follow, meaning familiarity with AI governance and operational AI use will become an increasingly valuable skill set for underwriters, claims handlers, and customer service leaders.
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