Accelerating AI Capital Expenditure Becomes a Key Engine of US Growth
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Accelerating AI Capital Expenditure Becomes a Key Engine of US Growth
Bank of America believes that hyperscale cloud providers continue to raise capital-expenditure plans, with AI investment supporting the US economy through wealth effects, manufacturing, and data-center construction.
- Consensus capital expenditure for five hyperscale cloud providers is expected to grow 91% in 2026 and a further 35% in 2027.
- AI-related investment contributed approximately 0.6 percentage points to annualized GDP growth in the first half of 2026, accounting for roughly one-third of GDP growth over the period.
- AI-related manufacturing has added approximately 23,000 jobs year to date, while nonresidential construction employment has also been boosted by data-center construction.
- The report still expects the Federal Reserve to raise rates by 25 basis points each in September, October, and December 2026, but risks have shifted toward later or fewer rate hikes.
Report interpretation
Overview
The report argues that the US AI capital-expenditure cycle continues to accelerate. Investment plans by hyperscale cloud providers such as Microsoft, Amazon, Google, Meta, and Oracle continue to be revised upward, while a broader range of companies is also increasing investment in AI infrastructure and capabilities. AI investment not only directly boosts demand, but also generates positive second-order effects through equity-market wealth effects, manufacturing capacity expansion, data-center construction, and job growth.
Core views
AI capital expenditure will remain a key support for US growth over the coming years and is relatively insensitive to interest rates because of strong corporate cash flows, healthy balance sheets, and intense competitive pressure. The report believes that current AI investment is increasing capacity, activity, and employment, making the economy more able than usual to withstand restrictive monetary policy; however, historical experience suggests that large-scale investment booms may ultimately still undergo adjustment.
Analysis framework
The report combines hyperscale cloud-provider capital-expenditure consensus estimates, national-accounts investment components, GDP tracking, manufacturing output, industry employment, construction employment, and credit-card spending data to assess the effects of AI investment on growth, consumption, production, employment, and monetary-policy sensitivity.
Methodology notes
Direct and indirect growth contribution of AI capital expenditure
Extends from direct investment spending to wealth effects, manufacturing output, construction activity, and employment to assess the multi-channel transmission of AI investment to the real economy.
AI-related investment contribution to GDP
Based on relevant national-accounts investment categories and adjusted for import factors, estimates the percentage-point contribution of AI-related investment to real GDP growth.
Inflation, employment, and the interest-rate path
Combines core PCE, labor-market conditions, and economic growth to assess the Federal Reserve's threshold for rate hikes and the macroeconomic effects of restrictive interest rates.
Asset mapping & comparison
Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).
- US Economic GrowthPositive Support
- Strengths
- AI capital expenditure, wealth effects, manufacturing capacity expansion, and data-center construction jointly strengthen growth resilience.
- Weaknesses
- Growth support is concentrated in AI-related investment, while other non-AI rate-sensitive sectors may remain under pressure.
- Comparison
- AI-related investment accounts for only a small share of nominal GDP, yet contributed approximately one-third of US GDP growth in the first half of 2026.
- Risks
- The capital-expenditure cycle may adjust in the future, while the lagged drag of high interest rates on non-AI activity could intensify.
- US Treasury YieldsUpward Pressure
- Strengths
- Growth resilience, labor-market stability, and sticky core inflation support expectations for hawkish policy.
- Weaknesses
- Recent softer employment and inflation data have reduced market pricing for rate hikes.
- Comparison
- The report expects three rate hikes in 2026, with the policy rate remaining at 4.25% to 4.50% in 2027 through 2028.
- Risks
- Inflation declining faster than expected or a marked weakening in economic data could result in fewer or delayed rate hikes.
- AI-Related Equities and Supply ChainPositive Support
- Strengths
- Accelerating capital expenditure, earnings growth, and wealth effects are mutually reinforcing.
- Weaknesses
- Valuations and investment expectations depend heavily on persistently high capital expenditure.
- Comparison
- AI stocks' EPS growth in the first half of 2026 exceeded that of non-AI S&P 500 stocks.
- Risks
- The investment boom may eventually undergo a cyclical correction, and weaker-than-expected realization of corporate returns could amplify the adjustment.
Key data
- Hyperscale Cloud Provider Capital Expenditure GrowthExpected to grow 91% in 2026 and a further 35% in 2027Covers Microsoft, Amazon, Google, Meta, and Oracle.
- AI-Related Investment Contribution to GrowthApproximately 0.6 percentage points in the first half of 2026Roughly one-third of GDP growth over the period; related investment categories account for approximately 2.6% of nominal GDP.
- AI-Related Equity EarningsEPS grew 28% in the first half of 2026EPS for non-AI S&P 500 stocks grew 12% over the same period.
- Manufacturing OutputUp 1.1% year over year through JuneThe report estimates that nearly all growth came from AI-related industries.
- AI-Related Manufacturing EmploymentApproximately 23,000 jobs added year to dateThis follows a combined decline of approximately 120,000 jobs from 2024 to 2025.
- GDP Tracking Forecast1.2% in the second quarter of 2026 (seasonally adjusted annual rate)Down 0.2 percentage points from the prior tracking estimate, mainly due to reduced inventory accumulation and slightly weaker government spending.
- Interest-Rate ForecastA total of 75 basis points of rate hikes expected in 2026A 25-basis-point hike is expected in each of September, October, and December.
Impact & implications
For the macroeconomy, AI investment provides a strong buffer for growth and supports consumption, industrial production, and employment. For policy, growth resilience and sticky inflation make it more likely that the Federal Reserve maintains a hawkish stance; higher interest rates are expected to restrain non-AI investment and consumption primarily, while having limited impact on the current AI investment cycle.
Risks
- Sticky core services inflation and supply shocks could sustain upside inflation risks.
- A pullback in the AI capital-expenditure boom could weaken support for growth, manufacturing, and construction employment.
- High interest rates may more visibly restrain non-AI investment, the housing sector, and consumption with a lag.
- As AI adoption expands, employment and entry-level roles in some industries may face more significant pressure.
- Geopolitical developments and energy-price volatility could alter the paths of growth and inflation.
What to watch
- Language in the July FOMC minutes regarding the threshold for a September rate hike and the number of hawkish committee members.
- Whether industrial production, manufacturing output, and capacity utilization continue AI-related expansion.
- Housing starts, building permits, and pending home sales data to validate the divergence between data-center construction and the housing sector.
- Whether July core PCE and subsequent inflation data support the view that inflation will remain persistently above the Federal Reserve's target.
- Whether subsequent earnings reports and capital-expenditure guidance from hyperscale cloud providers continue to be revised upward.
- Whether AI-related manufacturing and nonresidential construction employment continue to improve.