new report from Menlo Ventures<\/a>, the script has flipped. Healthcare has emerged as the new leader in enterprise artificial intelligence (AI) adoption, deploying AI at more than twice the rate of the broader economy. The findings challenge long-held assumptions about the slow pace of change in healthcare and point to a deeper story: the cost crisis in which US healthcare finds itself is driving a hard look at AI to fuel efficiency and optimization.<\/p>\nHow the Report Was Conducted: A Deep Dive Into Healthcare\u2019s AI Reality<\/p>\n
Menlo Ventures partnered with Morning Consult, the opinion research firm, to conduct one of the most comprehensive studies to date on AI adoption in U.S. healthcare. Between August and September 2025, the firm surveyed more than 700 executives across the healthcare ecosystem\u2014including:<\/p>\n
\u2022 410+ technology decision-makers at hospitals, health systems, and outpatient providers
\u2022 120+ senior insurance and benefits leaders at national and regional payers
\u2022 170+ executives from pharmaceutical and biotechnology companies<\/p>\n
Respondents represented organizations of varying size, geography, and scope from community hospitals to national systems, from Medicare Advantage plans to biotech innovators. The survey was supplemented by more than 20 in-depth interviews with industry leaders and Menlo\u2019s own portfolio insights across AI and digital health investments.<\/p>\n
This blend of quantitative and qualitative inputs gives the report unusual breadth. It doesn\u2019t just measure attitudes. It maps how capital, strategy, and innovation are converging in real time across every major healthcare vertical.<\/p>\n
From Skepticism to Scale: The Numbers Tell a Story<\/p>\n
The data is striking:
\u2022 22% of healthcare organizations have already implemented domain-specific AI tools, a 7\u00d7 increase over 2024 and 10\u00d7 over 2023.
\u2022 Health systems lead with 27% adoption, followed by outpatient providers (18%) and payers (14%).
\u2022 By comparison, just 9% of companies in the broader economy have adopted AI, and most of those rely on general-purpose tools rather than healthcare-specific applications.<\/p>\n
In a $4.9-trillion industry that makes up one-fifth of the U.S. economy but only 12% of national software spending, this represents an extraordinary acceleration.<\/p>\n
Big Bets from Big Names: The AI Imperative<\/p>\n
If 2023 was the year of curiosity, 2025 is the year of conviction. Major systems are moving fast:<\/p>\n
\u2022 Kaiser Permanente deployed Abridge\u2019s ambient documentation platform across 40 hospitals and 600+ medical offices\u2014the largest generative AI rollout in healthcare history.
\u2022 Advocate Health reviewed more than 225 AI tools and implemented 40 live use cases spanning documentation, imaging, and call-center automation.
\u2022 Mayo Clinic is investing more than $1 billion in AI over the next several years, across 200+ projects that extend from administrative automation to direct clinical care.
\u2022 SimonMed, one of the nation\u2019s largest radiology groups, is now piloting 50+ AI systems across intake, documentation, and revenue cycle management.<\/p>\n
These examples illustrate an industry crossing the rubicon\u2014from testing to scaling.<\/p>\n
Healthcare\u2019s New Technology Ethic<\/p>\n
Unlike the EHR era, which was driven by regulation and central mandates, this AI wave is decentralized and experimental. The Menlo report finds that high-performing organizations evaluate new tools through three criteria:<\/p>\n
1. Maturity of technology: Preference for production-ready, reliable systems that scale fast.
2. Level of risk to patient care: Low-risk administrative use cases move first; patient-facing tools follow with greater scrutiny.
3. Short-term value delivery: Quick wins that generate credibility and build adoption momentum.<\/p>\n
Notably, cost is not the top concern. Organizations are willing to pay a premium for trustworthy solutions, knowing the risks of failure in healthcare (operational disruption, clinical error, or reputational harm) are existential.<\/p>\n
Procurement Acceleration for Some<\/p>\n
The study found that procurement timelines for providers have shrunk:<\/p>\n
\u2022 Hospitals: from 8.0 months to 6.6 months (\u221218%)
\u2022 Outpatient providers: from 6.0 to 4.7 months (\u221222%)<\/p>\n
In contrast, payer procurement cycles have lengthened to 11.3 months, reflecting risk aversion and regulatory caution. The divergence is striking: providers are now the fastest movers in healthcare technology, a reversal of historic norms.<\/p>\n
Where the Money Is Flowing<\/p>\n
AI spending in healthcare nearly tripled year-over-year, reaching $1.4 billion in 2025. Three areas dominate:
\u2022 Ambient clinical documentation ($600M)
\u2022 Coding and billing automation ($450M)
\u2022 Patient engagement and prior authorization (10\u201320\u00d7 growth YoY)<\/p>\n
Crucially, 85% of that spending is flowing to startups, not legacy incumbents. That\u2019s because AI-native firms like Abridge, Ambience, and OpenEvidence are building from the ground up, while traditional vendors like Epic, Oracle Health, and Athenahealth are still layering AI onto legacy platforms.<\/p>\n
Methodology Matters<\/p>\n
What sets Menlo\u2019s report apart is its granularity. The sample captures a cross-section of the healthcare economy\u2014urban and rural, nonprofit and for-profit, large and small\u2014and accounts for differences in mission, margin pressure, and regulatory complexity. By pairing survey data with investor insights and executive interviews, the report not only quantifies AI adoption but contextualizes it\u2014explaining why certain organizations move faster, where value is accruing, and how incentives differ by sector. In short, it\u2019s not a hype piece\u2014it\u2019s a roadmap.<\/p>\n
Industry Pressures and the Acceleration Imperative<\/p>\n
Healthcare\u2019s rapid embrace of AI isn\u2019t happening in a vacuum\u2014it\u2019s unfolding under historic pressure. Over the past five years, the industry has faced simultaneous economic, labor, and cultural shocks that have redefined what it means to survive as a healthcare organization. Margins have narrowed. Workforce morale has eroded. Patients, newly empowered as digital consumers, expect seamlessness that legacy systems were never built to deliver. <\/p>\n
1. The Economic Squeeze<\/p>\n
Hospitals are operating on razor-thin margins, often under 1%. Staffing costs have soared, supply chains remain unstable, and reimbursement rates have failed to keep pace with inflation. In this environment, every CEO and CFO is under pressure to find new forms of leverage\u2014technology that multiplies output without multiplying headcount. AI has emerged as the first credible way to achieve that.<\/p>\n
2. The Labor Crisis<\/p>\n
Healthcare\u2019s labor challenge is structural, not cyclical. According to the Bureau of Labor Statistics, the U.S. will face a shortage of more than 200,000 nurses and 100,000 physicians by the end of the decade. Many clinicians who stayed through the pandemic are burned out or retiring early. AI tools\u2014especially those that automate administrative work and documentation\u2014are being adopted not just for efficiency, but as a moral imperative to keep clinicians practicing medicine instead of managing bureaucracy.<\/p>\n
3. The Expectations Shift<\/p>\n
Patients now judge healthcare against the same consumer experiences they get from Amazon or Apple. They expect 24\/7 access, personalized recommendations, instant responses, and seamless navigation. The old service model\u2014siloed departments, phone trees, weeks-long waits\u2014simply can\u2019t compete. AI is the only way to meet these expectations at scale and deliver care that feels both personal and immediate.<\/p>\n
Why This Time Feels Different<\/p>\n
In previous waves of innovation, healthcare\u2019s response was compliance-driven\u2014adopting technology because regulators or payers demanded it. This time, the motivation is existential. Healthcare leaders aren\u2019t adopting AI because they have to; they\u2019re adopting it because they can\u2019t afford not to. AI has become the new determinant of competitiveness, the next dividing line between organizations that thrive and those that fade. It\u2019s no longer a question of if or when. It\u2019s a question of how fast\u2014and whether the human mission of healthcare can evolve as quickly as the technology now demands.<\/p>\n
The Takeaway: Efficiency Is Just the Beginning<\/p>\n
Healthcare\u2019s AI revolution isn\u2019t theoretical\u2014it\u2019s here. Buying cycles are compressing. Dollars are flowing. Outcomes are emerging. But the deeper opportunity is human, not technical. If we get this right, AI can help restore what medicine has lost: time, empathy, and presence. Behind every statistic in the report lies a promise\u2014that technology, for once, might serve the people who serve others.<\/p>\n","protected":false},"excerpt":{"rendered":"Artificial intelligence is being rapidly adopted in healthcare. getty For years, healthcare was written off as a digital…\n","protected":false},"author":2,"featured_media":232081,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34],"tags":[254,64,63,139730,137,500],"class_list":{"0":"post-232080","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-healthcare","8":"tag-artificial-intelligence","9":"tag-au","10":"tag-australia","11":"tag-cost-pressures","12":"tag-health","13":"tag-healthcare"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/232080","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=232080"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/232080\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/232081"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=232080"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=232080"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=232080"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"Artificial](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2025\/10\/1761123805_169_960x0.jpg\")
<\/p>\n