Tesla cofounder: ‘We should be really worried’ about the U.S. grid as China speeds ahead in the power race

U.S. grid constraints are increasingly seen as a bottleneck for AI and data center growth, with more than half of data center projects reportedly behind schedule. Speakers highlighted the need for rapid grid expansion, battery storage, demand response, and behind-the-meter power solutions, while warning that projects may move overseas if power access lags. Redwood Materials also announced a new partnership with General Motors to use recycled EV batteries for plant operations, underscoring the growing role of battery storage in the energy transition.

Analysis

The investable signal is not “more power demand” but a re-pricing of the bottleneck owner: interconnection, flexible load, and storage. In the near term, the market tends to over-own data-center beneficiaries while under-owning the enabling layer that can monetize scarcity without waiting for multi-year transmission buildouts. That makes behind-the-meter assets, demand response, and grid-services platforms the cleaner way to express the theme than pure utility beta.

Second-order, the biggest loser is not hyperscale demand itself but projects that need fully greenfield grid capacity and face permitting, queue, and local opposition risk. Those delays create a substitution effect: customers will increasingly choose sites with existing substation headroom, gas backup, storage, or modular power, which should widen the spread between “power-ready” developers and everyone else. The implication for hardware suppliers is mixed: batteries, power electronics, switchgear, and thermal management should see secular pull-forward, while long-cycle transmission names remain policy-dependent and may not monetize until well after the capex wave peaks.

For TSLA specifically, the near-term read-through is slightly negative because the article reinforces a structural constraint on EV adoption and factory expansion: cheap, abundant electricity is not guaranteed. But that headwind is partially offset by Tesla’s ability to participate in distributed storage and grid software if management chooses to lean harder into energy products; the market is still valuing TSLA mostly as an auto+AI story, so the energy option is under-credited. GM gets a modest positive because recycling-to-storage creates a non-cyclical monetization path for stranded battery assets, and it improves plant resilience without waiting on utility upgrades.

Contrarian view: the consensus may be too linear on “grid can’t keep up,” when the more important adjustment is price. Higher power prices will force allocation faster than regulation does, which can actually accelerate capital formation in storage and flexible generation over the next 12-24 months. The risk is that if policymakers freeze rates or cap data-center costs, the economics of distributed power roll out slower than expected; that would compress the upside in infrastructure names and keep the bottleneck unresolved longer.

Key Decisions for Investors

• Long battery/storage enablers vs grid-delay losers: pair long GM against short a basket of long-duration utility/infrastructure names exposed to permitting risk; 3-6 month horizon, higher upside if behind-the-meter deployment keeps accelerating.
• Add TSLA on weakness only as a barbell position, but hedge with a short-dated call spread on a pure data-center/grid beneficiary basket; the article is slightly negative for the auto story while preserving upside from energy optionality over 6-12 months.
• Long Voltus-like demand response proxies / grid-services winners via any listed peers or infrastructure software exposure; this is the cleanest 12-18 month trade because monetization scales with scarcity and does not require major transmission buildout.
• Use call spreads on battery storage and power electronics suppliers into any pullback; 6-9 months. Risk/reward favors upside because order books should get pulled forward before capex budgets fully reflect the theme.
• Avoid chasing utilities with regulated returns as a broad hedge; instead, favor a pair trade long flexible-power assets vs short regulated grid laggards, since the market will likely reward speed-to-monetization over asset intensity.