The $23 Trillion Healthcare Crisis Ahead
Global healthcare systems face a serious financial crisis. Without meaningful intervention, factors including aging populations, labor shortages, and system inefficiencies will push sector spending from $11.8 trillion today to $23.1 trillion by 2040. This rapid rise threatens access, affordability, and the long-term sustainability of care delivery worldwide.
Importantly, this is not simply a financing challenge. Experts say it is fundamentally a productivity crisis — one that emerging technology may be uniquely equipped to solve.
What the Oliver Wyman Report Found
Management consulting firm Oliver Wyman recently released Unlocking the Great Health Productivity Reset, a detailed analysis quantifying the productivity potential of AI, robotics, and quantum technology across clinical care, pharma, MedTech, and payers.
The central finding is striking. AI, automation, and robotics have the potential to offset up to 60% of projected cost increases — provided adoption is coordinated, scaled, and supported by strong institutional and policy frameworks. That represents a transformational opportunity for health systems, insurers, and governments alike.
Breaking Down the $11.3 Trillion Cost Surge
The report separates the projected cost increase into two distinct categories. Of the projected $11.3 trillion increase through 2040, roughly $2.7 trillion is considered “structurally locked in” due to population growth. The larger and more addressable portion tells a different story.
The bigger share — around $8.6 trillion — stems from rising system inefficiencies as healthcare struggles to meet growing demand amid labor shortages, fragmented operating models, and a rising chronic disease burden. This portion is where technology can make a decisive impact.
Based on current trajectories, this cost growth would outpace economic expansion in most major regions, increasing healthcare’s share of GDP and placing additional pressure on public finances, employer plans, and private health insurers. Meanwhile, healthcare productivity has remained broadly flat despite the surging demand.
Why Productivity Has Stagnated
Healthcare continues to operate on largely labor-centric models. Aging populations, rising chronic disease rates, labor shortages, and persistent cost inflation are threatening both access and affordability. Administrative burden and fragmented workflows compound the problem. The result is a system that spends more while delivering proportionally less.
Three Adoption Pathways to 2040
Using proprietary modeling and the Oliver Wyman Health Technology Use Case database, the report evaluates three adoption pathways through 2040, varying in speed of adoption, depth of workflow integration, and discipline of reinvestment.
Incremental Adoption
Under the most conservative scenario, the results are still significant. The incremental adoption pathway yields potential net savings of $1.1 trillion per year by 2040 — equivalent to roughly a 4% reduction in projected costs. Even modest, well-coordinated technology adoption can produce meaningful savings at scale.
Breakthrough Adoption
The most ambitious pathway yields far greater results. In the breakthrough adoption scenario, potential net savings reach $5.1 trillion per year — a 22% reduction in projected costs. This scenario requires deep workflow integration, sustained investment, and reform of reimbursement and regulatory frameworks.
Key Enablers for Technology Integration
Technology alone cannot drive these outcomes. The report highlights five critical enablers for rapid adoption: investment in technology infrastructure, stronger technology talent pipelines, reforms to reimbursement and liability frameworks, modernized innovation-friendly regulation, and a shift from labor-centric approaches to technology-enabled models.
Additionally, the challenge is more institutional than technological, requiring the alignment of investment, regulation, capabilities, culture, and governance to enable system-wide change. Coordination across public and private stakeholders is therefore essential to realizing the full potential of these technologies.
The Role of Robotics and Quantum Technology
AI is not the only driver in this productivity reset. Robotics already impacts healthcare through specialist applications deployed in surgical support and payment processing. Eventually, humanoid robots will work alongside human employees — first in production and logistics, later taking over more complex routine tasks.
By 2035 and beyond, healthcare is expected to benefit from quantum technologies, which could advance computing power, diagnostic sensing, and data security methods. Together, these converging technologies multiply impact by automating routine work and freeing human professionals for higher-value tasks.
Expert Voices on the Productivity Reset
Leaders in healthcare and consulting are clear about what is at stake. Oliver Eitelwein, Partner and Global Lead for Oliver Wyman’s Life Sciences Performance Transformation, described the shift as both a cost and a growth opportunity. He stated that beyond cost containment, investments in AI platforms, robotics, medical devices, and data infrastructure would catalyze new high-value innovation markets.
Dr. David Duong of Harvard Medical School was equally direct. He argued that this is not primarily a financing problem but a productivity crisis, and that global healthcare systems must shift from labor-centric models to technology-enabled redesign to sustain affordability, access, and quality.
Both perspectives reinforce the same conclusion: the path forward requires bold, coordinated action — not incremental adjustments.
What This Means for Insurers
The implications for the insurance sector are significant. From an insurance perspective, technology-driven growth could translate into expanded demand for specialist technology, cyber, product liability, and clinical trial coverage — alongside continued pressure on health and life carriers to reflect technology-enabled care pathways in pricing and product design.
Furthermore, cyber risk remains closely tied to healthcare digitization. AI is also supercharging threats, increasing the attack surface, and adding to existing vulnerabilities — underscoring the need for robust cyber and technology error coverage as healthcare digitizes.
Insurers that adapt their products and pricing models early stand to benefit most from this structural shift in the healthcare landscape.
