AI GDP Share & Macro Trajectory Simulator
Test the macroeconomic conditions under which AI output, labor productivity dividends, and infrastructure capital expenditure could compound to 25% of national economic output.
Trajectory (2025–2040): AI Value-Add vs Total GDP
What Does it Actually Take to Reach 25% of US GDP?
In standard national income and product accounts (NIPA), GDP measures the gross value added (GVA) created across all domestic industries. For context, in 2024–2025, the entire US Healthcare sector accounts for ~17% of GDP, and the entire Financial & Real Estate sector accounts for ~21%. For Artificial Intelligence to represent 25% of GDP (~$10 Trillion annually by 2035), one of two macroeconomic conditions must hold:
1. Value-Added Accounting
Direct AI ecosystem value: server clusters, electricity supply, model licensing, chip fabrication, and software. At $500B–$1.5T/year capex, physical AI infrastructure alone yields 2%–4% of GDP. The remaining 21%+ must come from indirect value attribution in adopting sectors.
2. Total Factor Productivity Compounding
If legal, finance, coding, healthcare, and logistics workers experience a 30%–50% efficiency dividend, economic surplus expands nominal output. Total GDP grows from $29T (2025) to over $41T (2035), with AI-attributed productivity dividends accounting for the difference.
3. Physical Grid & Silicon Constraints
The primary ceiling is not algorithmic capability, but gigawatts of baseload power, grid interconnect queues, transformer lead times, and thermal dissipation. The slider above lets you stress-test whether capital bottlenecks prevent reaching the 25% threshold.