AI-Enabled Healthcare Economics: Pricing Abundant Care Consumption
This article argues that AI fundamentally transforms healthcare economics by expanding care capacity and reducing marginal costs, requiring a shift from reactive to proactive care models. The piece challenges the cultural assumption that increased healthcare consumption is inherently negative, proposing that abundant AI-enabled care services should be priced to incentivize better health outcomes and economic productivity. The authors present a quantified case for preventive care's value across healthcare expenditure reduction, worker productivity, and tax revenue generation.
Metrics in this report
67billion $
annual savings
1.6 million worker cohort
30billion $
federal, state, payroll combined
1.6 million worker cohort
75%
affected population
American adults
485billion $
cumulative
tax revenue plus entitlement savings
1300billion $ (1.3 trillion)
incremental
1.6 million additional workers
260billion $
incremental
1.6 million additional workers
20%
of total spend
annual US healthcare expenditure
50%
of total spend
annual US healthcare expenditure
20%
current
US economy
50%
approximate
American adults
1-6days/year
range
per patient through medication compliance
7800$/person/year
maximum
chronic condition management
1300$/person/year
minimum
chronic condition management
5.3trillion $
current
US economy
160million workers
current
US labor force