BofA reiterates Uber stock rating on Nvidia AV partnership By Investing.com

BofA reiterated a Buy on Uber with a $103 price target while shares trade at $78.83 and market cap is $162.18B; InvestingPro flags the stock as undervalued and Uber reports revenue growth of 18%. Uber expanded Level 4 robotaxi partnerships with Nvidia (launching in LA and SF in H1 2027 and scaling to 28 cities by 2028), launched a Motional robotaxi service in Las Vegas, and struck deals with Zoox (Las Vegas summer 2026, LA mid-2027) and a Wayve/Nissan Tokyo pilot by late 2026. Analysts Bernstein, Citizens and BofA reiterated positive ratings with price targets of $110, $100 and $103, respectively, supporting a constructive near-to-medium term view on AV monetization and network scale-up.

Analysis

This is a platform-powering story more than a point-product win: the realistic value transfer is from vehicle OEMs and hardware suppliers into software, orchestration, and compute providers that scale with city-by-city rollouts. Fleet-scale L4 deployments multiply demand for edge inference, cloud training, and telemetry pipelines — think orders-of-magnitude growth in sustained GPU/accelerator utilization, high-throughput storage, and fleet management software rather than one-off vehicle revenue. That dynamic favors vertically-agnostic network operators and compute stack vendors who can monetize both fleet purchases and recurring software/marketplace fees.

Second-order winners include high-density data-center hardware and orchestration suppliers and incumbents that can underwrite service-level safety and insurance; second-order losers include incumbent EV volume plays that rely on private ownership economics (they face demand substitution if shared robotaxis meaningfully scale) and regional rental/lease operators who don’t capture platform fees. Key near-term catalysts are measurable reductions in Uber’s cost-per-ride with autonomous supply and OEM pricing announcements; primary risk vectors are regulatory or high-visibility safety incidents which can delay rollouts by multiple years and reprice the TAM down sharply.

Consensus is bullish on rollout timelines; the contrarian read is that unit economics (maintenance, liability, software ops, municipal approvals) are under-embedded and could compress margins well after headline partnerships are signed. Position sizing should therefore favor asymmetric exposure to platform capture and compute/service providers rather than pure vehicle-capex OEM risk, and use time-limited option structures to balance binary regulatory or safety outcomes.

Key Decisions for Investors

• Long UBER equity (core position, 12–24 months): accumulate on ~8–15% pullbacks or on the first city-level metric showing >20% reduction in cost-per-ride vs human drivers. Risk/reward: target +30–40% upside if network economics improve and AV supply scales; set a tactical stop at ~18–22% to limit regulatory/competition downside.
• Long NVDA via 18–30 month call spread (buy 25% OTM calls, sell ~75% OTM calls): captures outsized compute upside while capping premium. Risk/reward: limited downside to premium paid, asymmetric 2–4x upside if Nvidia becomes the de facto L4 stack supplier to multiple OEMs.
• Pairs trade — Long UBER / Short TSLA (equal notional, 12 months): hedge market beta while expressing platform vs. ownership outcome. Risk/reward: expect 15–30% relative outperformance if shared robotaxi monetization accelerates; stop/adjust if Tesla demonstrates faster-than-expected scalable robotaxi unit economics or regulatory wins.
• Tactical long on data-center hardware (e.g., SMCI-sized exposure, 12–24 months): small position to capture increased fleet training/inference demand. Risk/reward: 25–50% upside if AV deployments drive next-wave hyperscaler capex; downside if OEMs vertically integrate compute or choose alternate suppliers.