Midterm Elections Give Hyperscalers an Excuse to Cut AI Capex, Says Jefferies Strategist
TREE NEWS reports: Jefferies strategist Chris Wood believes the outcome of the U.S. midterm elections has provided major technology companies—particularly hyperscalers—with a convenient justification to scale back their aggressive spending on artificial intelligence infrastructure. In a note to clients, Wood suggested that if the AI capital expenditure narrative is losing momentum, investors should consider rotating into sectors such as pharmaceuticals and markets like India, Brazil, and China to capitalize on the slowdown.
The midterm elections, which shifted political power in Washington, have introduced a new layer of uncertainty around fiscal policy, regulation, and government spending. This political shift gives hyperscalers—companies like Amazon, Microsoft, and Alphabet—political cover to moderate their AI-related spending without facing harsh criticism from investors who have been demanding returns on massive investments.
Why the AI Capex Boom May Be Cooling
Over the past two years, hyperscalers have poured hundreds of billions of dollars into data centers, GPUs, and AI research. This spending spree has been a major driver of the U.S. stock market, particularly for semiconductor companies like Nvidia and server manufacturers. However, Wall Street has grown increasingly impatient for tangible returns on these investments. With the midterm elections creating a more complex regulatory and fiscal environment, Wood argues that companies now have a politically acceptable reason to slow the pace of spending.
“The midterm elections have given the hyperscalers the excuse they needed to cut back on spending,” Wood wrote. He added that if the AI capex narrative is indeed losing momentum, investors should look beyond the technology sector for opportunities.
Market Implications
The potential slowdown in AI capex has significant implications across asset classes:
- Stocks: A reduction in AI spending could weigh on semiconductor stocks and other AI beneficiaries. However, it may also lead to better free cash flow and higher dividends for hyperscalers, potentially supporting their valuations. Wood recommends rotating into pharmaceutical stocks, which have been out of favor but offer defensive growth.
- Bonds: Lower capex could reduce corporate bond issuance and ease pressure on credit markets. It may also signal a broader economic slowdown, which could push yields lower as investors seek safe-haven assets.
- Crypto: A slowdown in AI spending might reduce demand for high-performance computing resources, indirectly affecting crypto mining and AI-related crypto projects. However, it could also free up capital for speculative assets if investors seek alternative growth stories.
- Commodities: Reduced data center construction could dampen demand for copper, aluminum, and other industrial metals. Energy demand from data centers might also ease, impacting natural gas and electricity markets.
- Currencies: A shift in investment flows toward emerging markets like India, Brazil, and China could weaken the U.S. dollar. Wood’s recommendation to increase exposure to these markets suggests a potential rebalancing of global portfolios.
Why This Matters for Investors
The AI trade has been one of the most crowded and influential themes in global markets. Any sign that it is losing steam could trigger significant portfolio rebalancing. Wood’s suggestion to look at pharmaceuticals and emerging markets reflects a broader concern that the U.S. technology sector may be overextended. For investors, this is a reminder to diversify and consider valuations outside the AI hype.
Moreover, the political dimension cannot be ignored. Midterm elections often lead to shifts in regulatory priorities, and the tech sector has been a target for both parties. If hyperscalers face a less friendly political environment, they may choose to be more conservative with their capital. This could lead to a more sustainable growth trajectory but also slower near-term earnings growth.
In conclusion, while the AI revolution is far from over, the pace of spending may be peaking. Investors should prepare for a rotation away from pure AI plays and toward sectors and regions that offer better value and less crowded positioning.
Key Takeaways
- Jefferies strategist Chris Wood argues that midterm elections give hyperscalers a political excuse to cut AI capital spending.
- If AI capex loses momentum, Wood recommends pharmaceuticals and emerging markets like India, Brazil, and China.
- A slowdown in AI spending could impact semiconductors, bonds, commodities, and currencies, with potential rotation into defensive and emerging market assets.
- Investors should consider diversifying away from crowded AI trades and monitor political and regulatory developments.
