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Primary Theme · Autonomy, eVTOL, sensing, EV infrastructure and drones · Updated 9 May 2026

Future of Mobility

Mobility is moving from mechanical transport toward software-defined, sensor-rich, electrified and autonomous systems. The investable stack includes eVTOL aircraft, drones, LiDAR and perception, automotive semiconductors, electric powertrains, EV charging, fleet software, autonomy platforms and transport infrastructure.

Maturity: Early / ScalingCapital intensity: HighBest angle: sensing + autonomy infrastructureRisk: certification + cash burn

Overview

The Future of Mobility theme is broader than EVs. The more interesting investment problem is the transition from vehicles as mechanical products to vehicles as autonomous, connected, electrified systems. That means sensors, edge AI, power electronics, charging, battery management, fleet software, aviation certification, autonomous drones and data infrastructure all matter.

The strongest public-market opportunities are probably not the most promotional vehicle manufacturers. They are the suppliers and platforms attached to unavoidable mobility bottlenecks: perception sensors, automotive compute, electric propulsion, charging uptime, fleet operations, certification milestones and defence/logistics use cases.

ScalingAutonomy / EV maturity
EarlyeVTOL maturity
HighCash-burn risk
StrongAI/robotics overlap

Stock Table

Working watchlist. This table deliberately separates platform bets such as eVTOL from picks-and-shovels mobility infrastructure such as LiDAR, automotive semiconductors and charging networks.

RankCompanyTickerRole in mobility stackCategoryResearch view
1OusterOUSTDigital LiDAR, cameras, sensor fusion and perception software for Physical AISensing / perceptionBest broad LiDAR/perception supplier; industrial, robotics, automotive and smart-infrastructure exposure.
2Aeva TechnologiesAEVA4D FMCW LiDAR for ADAS, autonomous trucks, defence and physical AIAutonomy sensingCompelling LiDAR optionality after OEM, Nvidia and Daimler Truck momentum; still loss-making.
3Joby AviationJOBYeVTOL aircraft, air-taxi operations and electric aviation platformeVTOL platformBest-capitalised eVTOL leader; certification and commercial launch timing dominate the thesis.
4Archer AviationACHReVTOL aircraft, electric powertrain and defence/logistics platformeVTOL / defence mobilityMidnight aircraft plus Anduril/EDGE Omen drone powertrain angle; still pre-commercial.
5Eve HoldingEVEXeVTOL aircraft, UAM ecosystem, services and air-traffic-management softwareeVTOL / UAM ecosystemEmbraer-backed and well-funded through 2028; pre-revenue and certification-dependent.
6indie SemiconductorINDIAutotive semiconductors for ADAS, user experience, electrification and edge AIAuto semiconductorGood picks-and-shovels mobility silicon angle; execution and auto-cycle recovery matter.
7ChargePointCHPTEV charging hardware, subscriptions, software and network infrastructureEV infrastructureImproving gross margin, but revenue decline and turnaround risk remain real.
8InnovizINVZAutomotive LiDAR and perception softwareHigh-risk LiDARStrong named OEM relationships but Nasdaq compliance/cash-burn risk make it non-core for now.
9Arbe RoboticsARBE4D imaging radar chipset for ADAS and autonomyRadar perceptionInteresting non-LiDAR sensing angle, but needs stronger production-scale proof.
10Blink ChargingBLNKEV charging stations and network servicesEV infrastructureUseful peer to ChargePoint, but profitability and capital needs require careful review.

Value Chain Map

LayerWhat it suppliesRepresentative namesInvestment note
Autonomy sensingLiDAR, radar, cameras, sensor fusion and perception softwareOuster, Aeva, Innoviz, ArbeBest picks-and-shovels angle because many mobility platforms need perception.
Autotive siliconADAS chips, power management, radar, in-cabin sensing, connectivity and edge AIindie Semiconductor, larger chipmakersSemiconductor exposure can be cleaner than betting on a specific vehicle OEM.
eVTOL platformsAircraft, certification, operations, electric propulsion and air mobility networksJoby, Archer, EveHigh upside but heavily dependent on certification, manufacturing and cash runway.
Drones and defence mobilityAutonomous aircraft, electric powertrains, mission systems and logisticsArcher / Anduril context, AeroVironment as larger referenceDefence may monetise before passenger air-taxi networks.
EV infrastructureCharging hardware, subscriptions, maintenance, fleet software and uptimeChargePoint, BlinkNecessary infrastructure but historically difficult margins.
Fleet / operations softwareRouting, utilisation, charging, maintenance, autonomy supervision and air traffic managementEve Vector, ChargePoint subscriptions, broader software stackPotentially scalable if hardware margins are weak.

Sub-Themes

  • Autonomy perception: LiDAR, radar, cameras, sensor fusion and edge AI.
  • Electric aviation: eVTOL, air taxis, regional electric aircraft and defence drones.
  • Automotive semiconductors: ADAS, electrification, radar, in-cabin sensing and user experience.
  • EV charging: hardware, software, subscriptions, fleet charging and uptime.
  • Defence mobility: autonomous drones, electric powertrains and logistics aircraft.
  • Fleet intelligence: software-defined operations, predictive maintenance and utilisation optimisation.

Market Forces

  • Software-defined vehicles: value shifts from mechanical hardware toward sensors, chips and software.
  • ADAS adoption: autonomy arrives first through driver assistance, logistics and constrained-use cases.
  • Defence demand: drones and autonomous vehicles may monetise faster than passenger air taxis.
  • Certification drag: aviation and autonomous vehicle regulation creates long timelines.
  • EV infrastructure economics: charging demand grows, but margins and utilisation remain hard.
  • Battery and power constraints: energy density, charging time and power availability shape the pace of adoption.

Technology Deep Dive

Future mobility depends on three technical transitions: electrification, autonomy and software-defined operations. Each has a different bottleneck. Electrification needs power, batteries and charging; autonomy needs sensing and compute; software-defined vehicles need connectivity, cybersecurity and continuous updates.

BottleneckWhy it mattersPublic-market angle
Perception reliabilityAutonomous systems must see, classify and react safely in messy real-world environments.Ouster, Aeva, Innoviz, Arbe.
Sensor cost and production readinessLiDAR/radar suppliers need real production programmes, not just demos.Aeva OEM/Daimler/Nvidia progress; Ouster shipment growth.
eVTOL certificationPassenger air mobility cannot commercialise without aircraft certification and operating approvals.Joby, Archer, Eve.
Battery and propulsion systemsElectric aircraft and EVs need reliable, high-density powertrains.Archer powertrain, eVTOL platforms, larger battery ecosystem.
Charging uptimeEV adoption depends on reliable public and fleet charging networks.ChargePoint, Blink, EV infrastructure suppliers.
Automotive edge AIVehicles need local processing for perception, user experience and safety-critical functions.indie Semiconductor, CEVA, Ambiq, larger automotive chipmakers.

Company Profiles

1. Ouster · OUST

Digital LiDAR, cameras, sensor fusion and perception software

Ouster is the strongest broad public sensing/perception name in this mobility screen. Its exposure is not limited to cars: it sells into industrial, robotics, automotive and smart infrastructure, making it a Physical AI supplier rather than a pure auto LiDAR bet.

  • Why it matters: autonomous vehicles, robots, mapping and smart infrastructure need robust perception.
  • Recent evidence: Q1 2026 revenue was $49m, up 49% year-on-year; product revenue rose 55%; the company shipped more than 12,600 LiDAR and camera sensors and held $175m of cash, cash equivalents, restricted cash and short-term investments.
  • Main risks: still loss-making, margin volatility after royalty benefit in Q4 2025, competitive LiDAR market and customer ramp timing.
  • Research rating: core perception infrastructure watchlist.

2. Aeva Technologies · AEVA

4D FMCW LiDAR for autonomy, trucks, defence and Physical AI

Aeva’s 4D FMCW LiDAR detects velocity and position simultaneously. That gives it a differentiated technology story across automated driving, trucks, robotics, smart infrastructure and defence.

  • Why it matters: production LiDAR is shifting from concept to real OEM programmes.
  • Recent evidence: FY2025 revenue doubled to $18.1m, the company guided 2026 revenue of $30m–$36m, Nvidia selected Aeva as a reference LiDAR sensor for DRIVE Hyperion, and the company secured a production contract with a top 10 passenger OEM plus Daimler Truck progress.
  • Main risks: operating losses, OEM ramp timing, cash runway and LiDAR adoption uncertainty.
  • Research rating: high-upside LiDAR optionality.

3. Joby Aviation · JOBY

eVTOL aircraft, air-taxi operations and electric aviation platform

Joby is the highest-profile and best-capitalised eVTOL public company. Its thesis depends on aircraft certification, manufacturing ramp, commercial launch and operating economics.

  • Why it matters: if eVTOL air taxis work commercially, Joby is one of the likely category leaders.
  • Recent evidence: Q1 2026 revenue was $24m, largely from the Blade acquisition; the company ended the quarter with $2.5bn in cash and investments, maintained 2026 revenue guidance of $105m–$115m, and continued certification/demonstration activity.
  • Main risks: operating losses, certification timeline, commercial launch risk and manufacturing capital intensity.
  • Research rating: eVTOL category anchor, but not a low-risk infrastructure supplier.

4. Archer Aviation · ACHR

Midnight eVTOL, electric powertrain and defence drone adjacency

Archer is another leading eVTOL platform, with a growing defence/logistics angle. The most interesting development is that the Midnight powertrain may become useful beyond passenger air taxis.

  • Why it matters: defence and unmanned systems could produce earlier revenue pathways than commercial air taxis.
  • Recent evidence: Archer agreed to supply its proprietary electric powertrain for Anduril and EDGE Group’s Omen autonomous aircraft, with the UAE committed to acquiring 50 Omen units.
  • Main risks: pre-commercial aircraft economics, certification, cash burn, manufacturing and reliance on future demand.
  • Research rating: high-upside eVTOL/defence mobility watchlist.

5. Eve Holding · EVEX

eVTOL, Urban Air Mobility ecosystem and Embraer-backed development

Eve offers a different eVTOL profile because of its Embraer relationship and its broader UAM ecosystem, including services/support and urban air-traffic-management software.

  • Why it matters: Embraer backing gives aerospace development credibility and potential operational support.
  • Recent evidence: Eve reported maiden flight of its engineering prototype in December 2025, 28 prototype flights by the FY2025 report, total liquidity of $541.4m at year-end, and funding expected to support operations through 2028.
  • Main risks: pre-revenue status, certification timeline, R&D intensity and competition.
  • Research rating: well-funded eVTOL development watchlist.

6. indie Semiconductor · INDI

Automotive semiconductors for ADAS, electrification and user experience

indie Semiconductor is a picks-and-shovels mobility silicon company. It supplies chips and systems for ADAS, in-cabin experience, electrification and edge-AI automotive applications.

  • Why it matters: automotive value is moving toward semiconductors, sensing and software-defined systems.
  • Recent evidence: FY2025 revenue was $217.4m, roughly flat year-on-year, with product revenue of $207.0m; Q4 2025 revenue was $58.0m.
  • Main risks: auto semiconductor cycle, profitability, customer concentration and ability to convert design wins into margin expansion.
  • Research rating: mobility semiconductor watchlist.

7. ChargePoint · CHPT

EV charging hardware, subscriptions and network services

ChargePoint is a leading EV charging infrastructure name. The problem is that charging has been a difficult business: utilisation, hardware margins, installation economics and maintenance all matter.

  • Why it matters: EV adoption needs reliable charging infrastructure and fleet software.
  • Recent evidence: fiscal 2026 revenue was $411.2m versus $417.1m the prior year; GAAP gross margin improved to 31% from 24%; subscription revenue rose to $162.4m from $144.3m.
  • Main risks: revenue stagnation, cash burn, competitive charging networks and hardware economics.
  • Research rating: EV infrastructure turnaround watchlist.

Future Scenarios

Bull case: autonomy moves into industrial, logistics, defence and mobility use cases; LiDAR/perception suppliers scale production; eVTOL certification unlocks early commercial routes; charging margins improve as utilisation rises.

Base case: ADAS, sensing and EV infrastructure continue to grow unevenly. eVTOL remains a long-duration bet, while perception suppliers and automotive silicon provide more immediate revenue evidence.

Bear case: certification slips, consumer EV demand slows, charging economics disappoint, LiDAR adoption remains niche and cash-burning mobility platforms dilute shareholders.

Signals to Watch

  • Ouster product revenue growth, shipment growth and gross margin excluding one-time royalties.
  • Aeva production programme conversion, Daimler Truck C-samples and 2026 revenue guidance delivery.
  • Joby aircraft certification progress, Dubai/U.S. launch timing, cash burn and Blade integration.
  • Archer defence/powertrain contracts and Midnight certification/manufacturing progress.
  • Eve prototype flight campaign, conforming aircraft progress and cash runway.
  • indie Semiconductor design-win conversion and auto-cycle recovery.
  • ChargePoint subscription growth, gross margin and path toward cash-flow improvement.

Metrics That Matter

  • Sensor shipments: shows whether LiDAR/perception demand is real.
  • Product revenue versus royalties: important for Ouster, where one-time royalties boosted Q4 2025.
  • Cash runway: critical for eVTOL, LiDAR and charging turnarounds.
  • Certification milestones: non-negotiable for Joby, Archer and Eve.
  • Gross margin: separates scalable infrastructure from hardware cash burn.
  • Design wins / production awards: essential for LiDAR and auto semiconductor suppliers.
  • Subscription mix: important for charging infrastructure and software-defined mobility models.

Risk Map

  • Certification risk: eVTOL and autonomous systems can be delayed by regulators.
  • Cash burn: mobility platforms often spend years before commercial revenue.
  • Adoption risk: LiDAR, eVTOL and charging utilisation may scale slower than expected.
  • Commodity hardware risk: charging and sensor hardware can become margin pressured.
  • Customer concentration: OEM programmes dominate small suppliers.
  • Macro sensitivity: EV demand, auto production, rates and consumer weakness affect the theme.
  • Valuation risk: mobility names can price in adoption before revenue arrives.

Convergence

  • Mobility + AI: autonomous vehicles, drones and fleet optimisation depend on edge AI.
  • Mobility + Robotics: autonomy, perception and motion control overlap strongly with robots.
  • Mobility + Energy: EV charging, batteries, grid load and vehicle-to-grid infrastructure.
  • Mobility + Defence: drones, autonomous aircraft, logistics and electric powertrains.
  • Mobility + Smart Cities: traffic sensing, charging networks, fleet routing and transport data.
  • Mobility + Next-Gen Computing: edge compute, automotive semiconductors, sensor fusion and low-power inference.

Summary

Future Mobility is investable, but the strongest approach is to separate platform risk from supplier risk. eVTOL companies such as Joby, Archer and Eve could be transformational but remain certification- and cash-burn-driven. LiDAR/perception names such as Ouster and Aeva offer a more picks-and-shovels route into autonomy and Physical AI. Automotive semiconductor names such as indie provide broader exposure to software-defined vehicles, while ChargePoint remains a necessary but difficult EV infrastructure turnaround.

Current working conclusion: Ouster is the strongest broad perception infrastructure name; Aeva is the highest-upside FMCW LiDAR optionality; Joby is the eVTOL category anchor; Archer adds an interesting defence/powertrain angle; Eve is a well-funded Embraer-backed development story; indie is the mobility semiconductor watchlist name; ChargePoint is an EV infrastructure turnaround that needs margin and cash-flow proof.