Harbor Capital Urged New AI Economic Benchmarks
The firm launched specialized funds as traditional manufacturing metrics fail to capture the modern AI economy.
Updated on Sept. 23, 2026 in Economic Indicators

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Harbor Capital Advisors executives have advised financial advisors to adopt new benchmarks for measuring the AI economy, arguing that traditional indicators like manufacturing PMI no longer align with current market growth. The firm backed this shift by launching new exchange-traded funds focused on AI labs and 800-volt DC power infrastructure.
Why it matters
Traditional financial benchmarks have decoupled from the S&P 500 since late 2022, creating a blind spot for investors tracking the rapid expansion of AI. Harbor Capital believes that monitoring adoption speed and infrastructure investments is now essential to capture the economic upside of the sector.
Cloud providers reported customer contract backlogs of $2.4 trillion, while projected AI infrastructure spending is expected to reach $1.3 trillion in 2027. Currently, AI spending accounts for approximately 3% of U.S. GDP.
The players
Harbor Capital Advisors
A Chicago-based investment firm that focuses on active management and recently expanded its product offerings to include AI-specific infrastructure and semiconductor funds.
The details
The firm emphasizes that AI adoption now drives 35% to 50% of U.S. GDP growth, necessitating a focus on high-performance data center architecture. By training its entire staff on AI tools and tracking competitive dynamics in lab-focused ETFs, Harbor Capital aims to identify the entities best positioned to benefit from long-term production cost reductions.
Timeline
Manufacturing PMI and S&P 500 performance decoupled in November 2022.
Harbor Capital trained its entire staff on AI tools in 2025.
Cloud providers' contract backlogs reached $2.4 trillion in Q2 2026.
Harbor Capital launched AI lab-focused ETFs in August 2026.
Infrastructure spending is expected to reach $1.3 trillion in 2027.
Macro View
The firm's shift away from manufacturing PMI benchmarks mirrors the 1990s transition to internet-centric economic metrics. This movement represents a fundamental pivot from legacy industrial-age analysis toward modern, tech-defined economic cycles.
This pivot suggests that investors should look beyond traditional industrial reports to understand the drivers of current GDP growth. For the average individual, this shift reflects how AI-led productivity may help ease inflationary pressures on consumer goods in the long term.
The takeaway
Investors are increasingly moving toward specialized metrics to capture the rapid capital deployment seen in the AI sector. Tracking infrastructure spending is likely to remain a more reliable indicator of near-term economic health than legacy manufacturing indexes.
Further reading
For more background on how shifts in production affect the economy, visit our Economic Indicators section.
Source note: This article includes information reported by FA Magazine.
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