BTIG reiterates Uber stock Buy rating on autonomous vehicle deals By Investing.com

BTIG reiterated a Buy on Uber with a $100 price target amid multiple autonomous-vehicle partnerships, while analyst targets range from $70 to $150. Uber reported $6.31B LTM EBITDA and BTIG estimates U.S. rideshare EBITDA could rise by high single digits through 2030 under a scenario with 150,000 AVs (50% on third-party networks, 30% incremental rides). Key deployment milestones: Level 4 robotaxis in LA and SF by 2027 and 28-city global rollout by 2028 (Nvidia DRIVE Hyperion), Zoox vehicles in Las Vegas by summer 2026 and LA by mid-2027, Motional robotaxis live in Las Vegas, and a Tokyo pilot by late 2026. InvestingPro flags the stock as potentially undervalued at current levels.

Analysis

The market is treating the autonomous rollout as an optionality play layered on top of an existing marketplace, which creates asymmetric payoffs across the stack: capital-light marketplace owners capture margin expansion from routing and pricing power, while capital-heavy fleet operators and hardware vendors must convert enormous upfront capex into utilization gains. Expect the largest near-term revenue lift to flow to compute and simulation suppliers (GPUs, cloud simulation and mapping) and to fleet ops/maintenance ecosystems — not necessarily to OEMs or legacy taxi operators. This bifurcation will compress multiples for businesses that cannot convert recurring software-like revenue from AV services.

Key reversal risks are idiosyncratic and regulatory: a single high-profile L4 failure, a jurisdictional ban or an unfavorable insurance verdict can move institutional risk premia for robotaxi deployments by several hundred basis points for 6–18 months. Adoption cadence is multi-year; meaningful EBITDA contribution to incumbent marketplaces is more likely 3–5 years out than 12–18 months, and anything priced as a near-term earnings lever is vulnerable to timing risk. Monitor occupancy/ride conversion metrics from pilots and city-level regulatory approvals as the primary on-ramps and off-ramps for valuation re-rating.

Second-order effects create investible dispersion: urban infrastructure (curb management, charging, depot real estate), aftermarket safety retrofit suppliers, and fleet insurance pools will see concentrated profits in limited geographies first — winners will be those who secure municipal exclusivity or long-term service contracts. Conversely, driver-reliant regions face structural unemployment and repricing of labor-related revenue lines, pressuring local incumbents and labor contractors. The optionality is real but highly convex; capture it with calibrated, time-boxed exposure rather than outright multi-year levered hold without hedges.

Key Decisions for Investors

• Long UBER equity sized to view AV rollouts as option: buy UBER with a 12–24 month horizon and protect downside with 9–12m puts (~5–10% hedge cost). R/R: asymmetric — ~30–60% upside if marketplace monetization improves; max loss limited to premium plus equity drawdown if pilots stall.
• Long NVDA 12–30 month call spread to play secular compute/simulation demand from AV scaling (buy long-dated calls, sell higher strike calls). Keep notional limited to <3% NAV; R/R: capped loss = premium, target 2–4x if NVDA retains dominant share of AV compute stack.
• Relative-value pair: long UBER / short selected public pure-play AV hardware supplier(s) with no recurring revenue (identify high-multiple small caps). Time horizon 18–36 months; rationale — marketplace captures recurring margins, hardware faces capital and utilization risk. Size as a market-neutral slice to limit macro beta.
• Event trade: buy short-dated UBER upside (calls) into scheduled regulatory/pilot milestones (6–9 months) sized for binary outcomes. If pilots clear regulatory/insurance hurdles, expect >50% move in implied delta; otherwise premium loss limited to option cost.