Top physical AI stocks to watch, according to Oppenheimer

Stocks fell as a Fed policymaker called for “modestly higher” rates, adding near-term pressure to tech. Still, Oppenheimer highlighted “Physical AI” “pick and shovel” opportunities, led by Tesla’s Q2 automotive volume beat (480,100 deliveries) alongside bullish target hikes to $400 (Jefferies) and $500 (RBC), while Aeva’s LiDAR business included a $115M gross-proceeds public offering and Ouster priced an offering expected to raise about $200M. In batteries, Amprius posted a $28.5M revenue beat in Q1’26 despite an EPS miss, and Enovix secured a major Amazon commercial deployment for material-handling operations; Aurora also reported a Q1’26 EPS beat and received new “buy” coverage.

Analysis

The near-term market should separate “AI narrative” from cash flow. In a higher-rate tape, the weakest links are the pre-scale hardware names that still need external capital; recent equity raises can mute any fundamental good news because dilution risk and a longer path to breakeven keep the equity duration high. By contrast, the platform names with manufacturing scale and optionality around autonomy can absorb a slower adoption curve because they have a clearer funding source for capex and software iteration.

The second-order winner set is narrower than the headline suggests: domestic perception and battery suppliers could gain share if procurement shifts away from Chinese components, but the revenue conversion lag is likely months, not days. That makes legislative headlines useful only if they are paired with signed programs, volume ramps, or margin expansion; otherwise, they are mostly multiple support, not earnings support. Battery suppliers are especially vulnerable to the funding cycle — stronger commercial wins help, but they also raise working-capital needs before gross profit inflects.

Contrarian take: the consensus is probably underestimating how much rate sensitivity still dominates this basket. If the Fed stays restrictive, the market can de-rate the whole Physical AI cohort even while industry fundamentals improve, with the most speculative names lagging the “pick-and-shovel” label they deserve. The clearest structural winner over 6-18 months is the company that can monetize autonomy + vertical integration internally; the clearest losers are names dependent on policy headlines and repeated capital raises to bridge to scale.

Key Decisions for Investors

• Long TSLA vs short a basket of AEVA/OUST/ENVX for 1-3 months: use Tesla’s balance-sheet durability and software optionality as the financing-survivability leg against pre-profit names exposed to multiple compression; thesis breaks if the Fed turns decisively dovish or if the short basket posts two consecutive quarters of meaningful gross-margin improvement.
• Initiate/hold a tactical long AUR only on pullbacks, with a 3-6 month horizon: commercial-vehicle autonomy is more monetizable than consumer robotaxi rhetoric, but position size should reflect execution risk; trim if pricing power does not show up in the next update cycle.
• Avoid chasing AEVA and OUST after equity raises unless revenue converts within the next 1-2 quarters; the cleanest setup is a watch item for a post-dilution reset, because the market may need evidence of booked backlog turning into gross profit before re-rating.
• Treat ELVA as the cleaner battery-name long versus AMPX/ENVX on a relative basis for 6-12 months: the Amazon linkage is the kind of customer validation that can reduce financing skepticism, while the others still need to prove scalable manufacturing economics.