Evercore ISI reiterates Outperform on Uber stock on Rivian deal By Investing.com

Uber will invest up to $1.25B in Rivian through 2031 (initial $300M) and purchase 10,000 R2 robotaxis with an option for 40,000 more by 2030; initial R2 deployments target San Francisco and Miami in 2028 with a 25-city rollout by 2031. Evercore ISI reiterated an Outperform and $150 price target vs current $75.56 (~+99% upside); other firms set $100–$110 targets, citing additional AV partnerships with Nvidia (Level 4 DRIVE Hyperion deployment H1 2027 in LA/SF), Motional, and Zoox. Evercore forecasts ~ $235B in bookings for 2026 with 20–30% EBITDA and FCF growth, underscoring a materially positive strategic and financial outlook for Uber and likely favorable equity/sector reaction.

Analysis

The hardware and software stack providers (NVIDIA first among them) win disproportionately from any credible L4 roll‑out because each vehicle converts into a multi‑year annuity of compute + mapping + updates; that creates recurring high‑margin revenue that can re‑rate multiples on the AI chip makers and datacenter suppliers. Second‑order beneficiaries include memory and flash vendors (higher training dataset storage), high‑throughput server OEMs (edge/cloud training capacity), and parts of the collision/maintenance ecosystem as fleets scale — expect spare parts, telematics and lifecycle services to become a meaningful margin pool within 3–5 years.

Execution and regulatory risk are the largest levers on valuation: milestone‑based capital commitments shift downside to the fleet owners and OEMs, not platform operators, meaning wear‑and‑tear economics and insurance costs will determine whether robotaxis improve or dilute unit economics. A safety incident or patchwork municipal bans could push meaningful revenue recognition and investor expectations out by 12–36 months; conversely, a smooth 1–2 city launch with sustained utilization could compress time‑to‑profitability materially.

For investors this is a multi‑year, convex optionality trade. Short‑term headlines will move sentiment; true cash flow inflection requires scale, mature insurance products and standardized maintenance channels. Valuation-sensitive buyers should structure exposure to capture upside from semiconductor/datacenter tailwinds while limiting binary downside from execution or regulatory shocks through option structures or paired hedges.

Key Decisions for Investors

• Long NVDA via a calendar/vertical option structure: buy 12–18 month LEAP calls and sell 3–6 month calls to finance ~50–70% of premium (target gross upside >40% if L4 hardware + data center revenue accelerate; max loss limited to net premium). Rationale: capture recurring vehicle compute + training demand while delta-hedging near-term volatility.
• Long UBER equity with downside protection: accumulate on 10–20% pullbacks and buy 12‑month 20% OTM puts (or a put spread to cut hedge cost). Timeframe 12–36 months; reward potential 50–100% if autonomous contribution proves accretive to margins, while put caps downside from regulatory/execution shocks.
• Buy SMCI (server OEM) on dips for 6–12 month exposure to elevated server demand from AV training/inference; target 30–60% upside, set a 20% stop‑loss. Rationale: smaller-cap server providers typically reprice faster to higher order flow than large incumbents.
• Long AMZN LEAP (18–36 months) as a capped way to play purpose‑built AV optionality plus cloud demand from fleets; hedge by sizing position to no more than 3–5% of tech allocation given long development timeline and execution uncertainty.