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Articles / global-fx-macro / Morgan Stanley sees AI and consumers driving growth as energy shock clouds outlook

Morgan Stanley sees AI and consumers driving growth as energy shock clouds outlook

Global GDP Growth 2026
3.2%
Forecasted global GDP growth amid energy shock and strong AI spending.
US GDP Growth 2026
2.25%
Forecasted US GDP growth supported by AI capital expenditure and consumer spending.
Crude Oil Price Projection
$90
Assumed crude oil price by end-2026, with risks of exceeding $150.

⦿ Executive Snapshot

  • What: Morgan Stanley forecasts global GDP growth of 3.2% in 2026 amid an energy shock and strong AI spending.
  • Who: Morgan Stanley, Global Chief Economist Seth Carpenter.
  • Why it matters: The outlook highlights the impact of energy prices on global economic stability and the role of AI investments in supporting growth.

⦿ Key Developments

  • Global real GDP growth is forecast at 3.2% in 2026 and 3.4% in 2027, down from 3.5% in 2025.
  • The base case assumes crude oil returns to around $90 a barrel by end-2026; failure to normalize could push prices above $150 and trigger recession.
  • US GDP growth is forecast at 2.25% in 2026 and 2.5% in 2027, supported by AI capital expenditure and consumer spending.
  • The Fed is expected to hold rates through all of 2026, with two cuts possible in the first half of 2027 if inflation retreats.
  • Global headline inflation is expected to rise to nearly 3% in 2026 before easing, with limited passthrough to core inflation in most economies.

⦿ Strategic Context

  • The forecast reflects the complexities of the current economic environment, where energy shocks are juxtaposed against technological advancements in AI, altering traditional growth trajectories.
  • This scenario fits into a broader narrative of how global markets are adapting to energy volatility while leveraging innovative technologies for economic resilience.

⦿ Strategic Implications

  • Immediate consequences may include pressure on rate-sensitive assets and borrowers due to a prolonged higher interest rate environment.
  • Long-term implications involve AI-related capital expenditure potentially serving as a stabilizing force for business investment despite economic uncertainties.

⦿ Risks & Constraints

  • Potential risks include regulatory pressures and execution challenges related to managing the economic fallout from fluctuating oil prices.
  • Competition or infrastructure dependencies may arise, particularly in regions most exposed to energy cost increases, such as Europe.

⦿ Watchlist / Forward Signals

  • Key forward signals include the monitoring of oil price trends and central bank policy changes, particularly from the Fed and ECB.
  • Future developments in AI investment trends and consumer spending patterns will be critical indicators of economic resilience or vulnerability.
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