AI Infrastructure Shifted Market Benchmarking Tools

Financial experts have introduced new tools to track AI spending as traditional economic indicators fail to capture current growth.

Updated on Sept. 23, 2026 in Economic Indicators

Isometric editorial illustration of a heavy-duty industrial electrical transformer unit, representing the physical infrastructure driving new economic benchmarks.
Harbor Capital Advisors and other analysts are deploying new benchmarks to track AI-driven economic growth as traditional manufacturing indicators struggle to capture current market performance. AI Illustration. Upload story photo >

Live Poll

Is now a good time to adjust your personal investment strategy for the AI economy?

Harbor Capital Advisors recently launched new exchange-traded funds as analysts identified a decoupling between traditional manufacturing benchmarks and S&P 500 performance. These changes reflect an effort to better track the AI economy as corporate contract backlogs for cloud providers reach $2.4 trillion.

Why it matters

Traditional financial metrics like the manufacturing purchasing managers' index no longer fully reflect modern growth, leaving investors and financial planners searching for new ways to gauge economic health. By focusing on AI infrastructure and adoption speed, firms are attempting to capture the sector's contribution to U.S. GDP growth.

AI infrastructure spending is projected to reach $1.3 trillion in 2027, up from $1 trillion in 2026. This activity currently supports 35% to 50% of U.S. GDP growth, even as the real GDP growth pace remains at 2.5%.

The players

Harbor Capital Advisors

An investment management firm that provides exchange-traded funds and financial benchmarks to institutional and retail investors.

The details

The shift in benchmarking stems from the belief that adoption speed is the primary driver of economic upside in the AI sector. To capitalize on this, firms are targeting data center infrastructure, such as 800-volt DC power systems that offer operating margins of 50% to 60%. These investments aim to track the physical rollout of next-generation architecture expected to begin in 2027.

Timeline

  1. November 2022 marked the point where manufacturing PMI and the S&P 500 performance began to decouple.

  2. Cloud providers reached $2.4 trillion in customer contract backlogs by the end of Q2 2026.

  3. Harbor Capital Advisors launched new AI lab-focused ETFs in August 2026.

  4. AI infrastructure spending is projected to climb to $1.3 trillion in 2027.

Money Landscape

This development follows the trend set by the decoupling of manufacturing PMI from the S&P 500 in 2022, signaling a structural change in how market analysts measure growth. It marks a transition from relying on legacy manufacturing metrics toward tracking the massive capital allocation currently driving U.S. economic output.

As AI investment shifts corporate capital, household financial planning should account for how this sector influences overall market volatility and long-term inflation. Speak with a qualified financial professional to determine if your portfolio strategy reflects these evolving economic benchmarks.

The takeaway

The rapid growth of AI infrastructure is fundamentally changing how investors assess the U.S. economy, as indicated by the movement toward new benchmarking tools. When reviewing your retirement accounts or long-term investments, consider how your current holdings align with these new sector-specific growth metrics.

Further reading

For more on how shifts in market analysis affect your planning, see our Economic Indicators section.

Source note: This article includes information reported by FA Magazine.

Live Poll

Is now a good time to adjust your personal investment strategy for the AI economy?