Figure AI

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Robotics company developing general-purpose humanoid robots for commercial applications in warehouses, manufacturing, and logistics operations.

Figure AIis private — you can’t buy shares. This map shows what you can buy that moves with it, and what moves against it, with dated evidence on every connection.

www.figure.aiUpdated 2026-07-16research currentmethodology 2026.07.2Relationship mapping, not a recommendation.
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Decisive takeaway

Strongest public comparable: Global X Robotics & Artificial Intelligence ETF (BOTZ) thematic fund. Broad exposure to public robotics and AI companies including component suppliers (NVIDIA, Sony, Keyence), industrial automation firms (FANUC, ABB), and manufacturing customers (Toyota) that overlap Figure AI's supply chain and customer base.

What just changed

Broader market connections10

Similar public companies, funds, commodities and bonds tied to the same market — a looser connection, clearly labeled.

Global X Robotics & Artificial Intelligence ETFBOTZ · NASDAQ

Thematic fundetfDiluted — small moves either wayDiversified equity fundindirectsource 2026-06-30inference
12conn
What it captures
Broad exposure to public robotics and AI companies including component suppliers (NVIDIA, Sony, Keyence), industrial automation firms (FANUC, ABB), and manufacturing customers (Toyota) that overlap Figure AI's supply chain and customer base.
What it misses
No direct exposure to Figure AI as a private company; relies entirely on public-market proxies in robotics hardware, AI chips, and industrial automation that may not correlate with humanoid robotics specifically.
Why the price could rise
May benefit if GPU supply constraints ease (lowering Figure's input costs) or if BMW and automotive manufacturers increase industrial automation capex — drivers that would expand demand for both traditional robotics and humanoid platforms.
Why the price could fall
May be harmed if humanoid robotics cannibalizes traditional industrial automation spending, reducing revenue for legacy robotics firms that dominate the fund's holdings.

Materiality: medium · Confidence: medium · Long term (3+ years)

Expense ratio 0.68% Holding weights are shown only when published by the issuer — the exposure may be material or incidental; check the fund’s current holdings.

View in IBKRverified 2026-07-16

Albemarle CorporationALB · NYSE

Commodity inputstockPrice could fall as input costs riseEquity growthindirectinference
10conn
What it captures
World's largest lithium producer with 20%+ global market share; pricing power and production volumes directly shape battery-grade lithium costs for Figure's suppliers.
What it misses
ALB revenue mix includes bromine specialties and catalysts; lithium represents ~60% of earnings, so exposure is diluted by non-battery businesses.
Why the price could rise
May benefit if lithium oversupply and ALB production cuts drive lithium prices lower—the same dynamic that reduces Figure's battery input costs.
Why the price could fall
May be harmed if tight lithium supply drives ALB's pricing and margins higher—the same condition that inflates Figure's battery pack costs and erodes robot unit economics.

Materiality: medium · Confidence: medium · Medium term (1–3 years)

View in IBKRverified 2026-07-16

Lithium Futures (CME)LITFUT · CME

Derivative exposurefuturePrice could fall as input costs risehigh riskLeveraged derivativeindirectinference
9conn
What it captures
Direct exposure to lithium hydroxide pricing which drives battery pack costs—a high-materiality input for Figure's multi-hour operation requirement.
What it misses
Does not capture battery assembly costs, competing battery chemistries, or Figure's potential volume purchasing agreements that may lock pricing.
Why the price could rise
May benefit if lithium prices decline—the same driver that would reduce Figure's battery input costs and improve unit economics.
Why the price could fall
May be harmed if lithium prices surge due to EV demand or supply constraints—the same driver that would compress Figure's manufacturing margins unless passed through to customers.

Materiality: high · Confidence: medium · Medium term (1–3 years)

Advanced instrument — structure-specific risks apply. Disclosures

Root LITH · months Monthly · multiplier 1000

View in IBKRverified 2026-07-16

Sociedad Química y Minera de Chile (SQM)SQM · NYSE

Commodity inputstockPrice could fall as input costs riseCL · USDEquity growthindirectinference
9conn
What it captures
Second-largest lithium producer globally with low-cost Chilean brine operations; SQM's production volumes and pricing strategies materially influence battery-grade lithium carbonate costs.
What it misses
SQM also produces fertilizers and iodine (~40% of revenue); lithium segment performance is diluted by agricultural commodity exposure and Chilean regulatory/political risk.
Why the price could rise
May benefit if SQM's lithium production ramp and inventory accumulation drive oversupply and lower lithium prices—the same dynamic that reduces Figure's battery input costs.
Why the price could fall
May be harmed if Chilean regulatory constraints or SQM production cuts tighten lithium supply and elevate pricing—the same condition that raises Figure's battery pack costs.

Materiality: medium · Confidence: low · Medium term (1–3 years)

View in IBKRverified 2026-07-16

iShares Robotics and Artificial Intelligence Multisector ETFIRBO · NYSE Arca

Thematic fundetfDiluted — small moves either wayDiversified equity fundindirectinference
7conn
What it captures
Passive exposure to global robotics and AI index including semiconductor suppliers (NVIDIA, Qualcomm), industrial automation (Rockwell, Siemens), and Japanese robotics manufacturers (FANUC, Yaskawa) that supply components and compete in adjacent automation markets.
What it misses
Index methodology favors large-cap industrial automation incumbents over private humanoid robotics startups; no direct Figure AI exposure and limited weight to emerging bipedal robotics ecosystem.
Why the price could rise
May benefit if industrial capex expands broadly due to labor shortages (the same driver increasing demand for Figure's humanoid labor substitutes) or if GPU prices normalize, reducing AI system costs across robotics and accelerating adoption.
Why the price could fall
May be harmed if humanoid robotics proves superior to traditional fixed automation in manufacturing, causing share losses for incumbent robotics firms that dominate index weight.

Materiality: medium · Confidence: medium · Long term (3+ years)

Expense ratio 0.47% Holding weights are shown only when published by the issuer — the exposure may be material or incidental; check the fund’s current holdings.

View in IBKRverified 2026-07-16

COMEX Copper Futures (representative)HG · COMEX

Derivative exposurefuturePrice could fall as input costs risehigh riskLeveraged derivativeindirectinference
6conn
What it captures
Direct exposure to copper pricing affecting electric motor windings, actuator components, power distribution wiring, and battery interconnects—material cost inputs across 20+ actuators per robot.
What it misses
Does not capture specialty alloy surcharges, fabrication costs, or copper content substitution strategies in actuator design.
Why the price could rise
May benefit if copper prices decline due to China demand weakness or new mine supply—the same driver that lowers actuator and wiring costs for Figure's robot production.
Why the price could fall
May be harmed if copper prices spike above $5/lb due to supply disruptions or energy transition demand—the same factor that inflates electric motor and actuator input costs for Figure.

Materiality: medium · Confidence: medium · Short term (0–12 months)

Advanced instrument — structure-specific risks apply. Disclosures

multiplier 25000 · physical delivery

View in IBKRverified 2026-07-16

Freeport-McMoRan Inc.FCX · NYSE

Commodity inputstockPrice could fall as input costs riseEquity growthindirectinference
6conn
What it captures
World's largest publicly traded copper producer; FCX's mine output and cost structure directly influence industrial copper pricing that feeds into actuator and electrical component costs.
What it misses
FCX also produces gold and molybdenum; copper represents ~75% of revenue, so exposure is somewhat diluted by precious metals and FCX's oil/gas legacy assets.
Why the price could rise
May benefit if FCX production ramps and copper oversupply drives prices lower—the same condition that reduces wiring and motor component costs for Figure's robot assembly.
Why the price could fall
May be harmed if FCX mine disruptions or cost inflation tighten copper supply and elevate prices—the same driver that raises actuator and electrical system input costs for Figure.

Materiality: low · Confidence: low · Medium term (1–3 years)

View in IBKRverified 2026-07-16

ARK Autonomous Technology & Robotics ETFARKQ · CBOE

Thematic fundetfDiluted — small moves either wayDiversified equity fundspeculativeinference
4conn
What it captures
Active thematic exposure to autonomous systems, aerospace, and next-generation robotics including electric vehicle suppliers, drone manufacturers, and AI companies (Tesla, Iridium, Kratos) that share enabling technologies with humanoid robotics.
What it misses
No direct Figure AI holdings; active management focused on publicly traded disruptive technology firms with unpredictable overlap to private humanoid robotics sector.
Why the price could rise
May benefit if lithium-ion battery costs decline sharply (the same driver lowering Figure's robot power system costs) or if foundation AI models become commoditized, reducing barriers to entry for autonomous systems broadly.
Why the price could fall
May be harmed if humanoid robotics development consumes venture capital and talent at the expense of electric vehicle and aerospace sectors where ARKQ is heavily positioned.

Materiality: low · Confidence: low · Long term (3+ years)

Expense ratio 0.75% Holding weights are shown only when published by the issuer — the exposure may be material or incidental; check the fund’s current holdings.

View in IBKRverified 2026-07-16

iShares iBoxx $ Investment Grade Corporate Bond ETFLQD · NYSE Arca

Bond / creditbond etfDiluted — small moves either wayDiversified equity fundindirectinference
2conn
What it captures
Diversified investment-grade corporate credit exposure including industrial automation equipment makers, semiconductor firms, and manufacturing customers that overlap Figure AI's upstream suppliers and downstream buyers.
What it misses
Broad sector exposure dilutes concentration to any single Figure counterparty; no direct Figure AI credit exposure; equity upside absent.
Why the price could rise
May benefit if industrial manufacturing activity remains strong and corporate credit spreads tighten — the same macro environment that supports demand for automation technology and humanoid robot deployments.
Why the price could fall
May be harmed if manufacturing recession causes industrial credit deterioration — the same environment that would reduce capital spending on automation and Figure's commercial pipeline.

Materiality: low · Confidence: low · Medium term (1–3 years)

Expense ratio 0.14% Holding weights are shown only when published by the issuer — the exposure may be material or incidental; check the fund’s current holdings.

View in IBKRverified 2026-07-16

VanEck Investment Grade Floating Rate ETFFLTR · NYSE_ARCA

Bond / creditetfDiluted — small moves either wayDiversified equity fundindirectinference
2conn
What it captures
Diversified floating-rate investment-grade credit including industrial and technology issuers that overlap Figure's supplier base and customer sectors, with rate protection during tightening cycles.
What it misses
Broad diversification dilutes any single counterparty exposure; floating-rate structure reduces duration but eliminates long-term rate sensitivity; no Figure equity upside.
Why the price could rise
May benefit if industrial credit quality remains stable and short-term rates stay elevated — macro conditions that support corporate spending on capital equipment including automation.
Why the price could fall
May be harmed if manufacturing recession causes widespread industrial credit deterioration — the same environment that would reduce capital spending on humanoid robots.

Materiality: low · Confidence: low · Short term (0–12 months)

Expense ratio 0.14% Holding weights are shown only when published by the issuer — the exposure may be material or incidental; check the fund’s current holdings.

View in IBKRverified 2026-07-16

Long / short mechanisms

Relationship mapping, not a recommendation.

AI Accelerator Allocation Crisis

Semiconductor shortageconfidence: high

NVIDIA GPU supply tightens due to datacenter AI demand and Taiwan fab constraints. Humanoid robotics producers face extended lead times and allocation prioritization favoring hyperscale customers.

  • Global X Robotics & Artificial Intelligence ETF (BOTZ)price could falldirect · short term · materiality medium

    ETF holdings in robotics integrators face production delays and margin compression when GPU scarcity extends time-to-revenue for next-generation autonomous systems.

    Caveats: BOTZ also holds industrial automation incumbents with lower AI intensity Portfolio diversification across automation subsectors limits single-input exposure

  • ARK Autonomous Technology & Robotics ETF (ARKQ)price could falldirect · medium term · materiality high

    ARKQ's tilt toward early-stage autonomous platforms amplifies sensitivity to GPU bottlenecks that delay commercial deployments and revenue inflection points.

    Caveats: Portfolio includes GPU beneficiaries that partially hedge robotics exposure Active management may rotate toward less compute-intensive automation

  • iShares Robotics and Artificial Intelligence Multisector ETF (IRBO)price could falldirect · medium term · materiality medium

    Broad robotics exposure faces production schedule risk when AI-intensive humanoid and autonomous mobile robot segments delay volume ramps due to compute scarcity.

    Caveats: IRBO's global diversification includes traditional industrial robotics with minimal GPU content Japanese and European robotics holdings less exposed to NVIDIA allocation dynamics

Figure's strategic investor relationships may secure preferential GPU allocation Custom ASIC development could reduce NVIDIA dependency over 18-24 months GPU demand from competing humanoid robotics startups remains modest relative to cloud AI

Lithium Battery Input Cost Spike

Key commodity shortageconfidence: mediuminference

Lithium carbonate prices surge on supply disruptions or accelerating EV/grid storage demand. Humanoid robot battery packs see 25-40% BOM cost increases, pressuring unit economics before scale.

  • Albemarle Corporation (ALB)price could riseindirect · short term · materiality low

    Albemarle's lithium segment benefits from higher realized prices when battery-grade lithium carbonate spot markets tighten across all demand vectors including emerging robotics.

    Caveats: Robotics battery demand immaterial to ALB revenue through 2026 Albemarle's contract vs spot pricing mix dampens spot market sensitivity Lithium hydroxide for high-nickel EV cells more price-sensitive than carbonate

  • Sociedad Química y Minera de Chile (SQM) (SQM)price could riseindirect · short term · materiality low

    SQM's lithium operations capture margin expansion when tight supply-demand balances drive carbonate and hydroxide reference prices higher across industrial and battery applications.

    Caveats: Chilean regulatory risk and water availability constraints limit production elasticity SQM's potash and iodine segments dilute lithium price sensitivity Humanoid robotics represents negligible demand share for SQM volumes

  • Lithium Futures (CME) (LITFUT)price could riseindirect · medium term · materiality low

    CME lithium futures may reflect tightening physical markets when battery demand growth across EVs, grid storage, and emerging robotics outpaces mine and conversion capacity additions.

    Caveats: CME contract specifications and liquidity limit price discovery accuracy Robotics demand too small to independently move futures curve through 2027 Basis risk between futures settlement and battery-grade spot carbonate

Figure's battery development program (July 2025 newsroom) may target alternative chemistries Long-term lithium supply contracts could lock in pricing for initial production volumes Humanoid battery demand represents <0.1% of global lithium consumption through 2027

BMW Pilot Program Discontinuation

Major customer lossconfidence: low

BMW terminates or significantly scales back humanoid robot deployment following pilot evaluation. Critical commercial validation and near-term revenue evaporates, extending path to profitability.

  • iShares iBoxx $ Investment Grade Corporate Bond ETF (LQD)price could fallindirect · medium term · materiality low

    Investment-grade credit spreads widen when high-profile technology adoption failures increase perceived execution risk across capital-intensive hardware scale-ups and their debt issuances.

    Caveats: Figure AI unlikely to access IG debt markets before sustained commercial revenue LQD dominated by mega-cap financials and industrials with no robotics exposure Single pilot failure immaterial to broad IG credit conditions

  • VanEck Investment Grade Floating Rate ETF (FLTR)price could fallindirect · long term · materiality low

    Floating-rate IG spreads may face modest pressure when technology hardware deployment setbacks raise refinancing risk perceptions for capital-intensive manufacturing businesses.

    Caveats: FLTR focuses on established IG issuers with minimal exposure to early-stage robotics Private company Figure AI not represented in IG floating rate universe Scenario impact requires contagion to broader automation capex themes

  • Global X Robotics & Artificial Intelligence ETF (BOTZ)price could falldirect · short term · materiality medium

    BOTZ holdings in robotics integrators and component suppliers face valuation pressure when high-profile humanoid pilot failures dampen institutional enthusiasm for autonomous manufacturing investments.

    Caveats: BOTZ diversified across industrial automation incumbents with established revenue Failure of one humanoid pilot may not generalize to collaborative robots and AGVs ETF holdings include Japanese and European automation leaders insulated from US pilot dynamics

source: https://www.figure.ai/news (June 30, 2026 F.03 Arrives at BMW; November 19, 2025 F.02 Contributed to 30,000 Cars) BMW's multi-year engagement and public milestone communications suggest deeper commitment Catalyst Brands partnership (May 26, 2026) provides customer diversification Home market entry reduces single-customer concentration risk

Catalysts

What breaks the thesis

Business definition

Figure AI is an artificial intelligence robotics company founded in 2022 that designs and manufactures autonomous humanoid robots intended for deployment in labor-intensive commercial environments. The company's flagship product, Figure 01 (and subsequent iterations), is a bipedal humanoid robot designed to perform tasks in warehouses, retail, and manufacturing facilities. Figure AI combines advanced AI, computer vision, and robotic hardware to create machines capable of learning and executing complex manipulation and mobility tasks in human-centric work environments.

Industries
RoboticsArtificial IntelligenceAutomationManufacturing Technology
Products & services
Humanoid robotsAutonomous robotic systemsAI-powered manipulation technologyComputer vision systems for robotics
Customers
Warehouse operatorsManufacturing facilitiesLogistics companiesRetail operationsIndustrial enterprises
Business model
Hardware and robotics-as-a-service provider

Value-chain decomposition

  1. 01

    Component & Materials Supply

    Sourcing of specialized components including actuators, sensors, processors, batteries, structural materials, and optical systems required for humanoid robot construction.

  2. 02

    AI Model Development

    Development of foundation models, computer vision algorithms, motion planning systems, and reinforcement learning frameworks that enable autonomous robot decision-making and manipulation.

  3. 03

    Robot Design & Manufacturing

    Engineering and assembly of humanoid robot hardware integrating mechanical systems, electronics, and AI software into functional bipedal robots at production scale.

  4. 04

    Core Humanoid Robot Platform

    The Figure 01 and subsequent generation autonomous humanoid robots capable of performing manipulation, mobility, and task execution in commercial environments.

  5. 05

    Fleet Management Software

    Cloud-based platform for monitoring, controlling, updating, and optimizing deployed robot fleets across customer facilities with telemetry and performance analytics.

  6. 06

    Deployment & Integration Services

    On-site installation, workflow integration, safety certification, and customization services to adapt robots to specific warehouse, manufacturing, and logistics operations.

  7. 07

    Customer Operations & Support

    Ongoing technical support, maintenance services, software updates, and training programs delivered to warehouse operators, manufacturers, and logistics companies.

  8. 08

    Enabling Infrastructure

    Supporting systems including cloud compute for AI training and inference, charging infrastructure, connectivity networks, and logistics for hardware distribution and service.

Strategic dependencies

What this business materially depends on, upstream and downstream. Inferred dependencies are labeled — they are analytical hypotheses, not confirmed disclosures.

Upstream (inputs & infrastructure)

  • AI compute chips (GPUs/TPUs)semiconductor · materiality high · inference

    High-performance AI accelerators required for real-time vision processing, motion planning, and neural network inference in humanoid robots. Primarily NVIDIA GPUs manufactured in Taiwan. Known constraint: GPU supply constraints and allocation priorities.

  • Electric actuators and servo motorscomponent · materiality high · inference

    Precision actuators enabling bipedal locomotion and dexterous manipulation across 20+ degrees of freedom per humanoid robot. Specialized robotics actuators concentrated in Japan, Germany, and China.

  • Lithium-ion battery packscomponent · materiality high · inference

    High-density battery systems required for multi-hour autonomous operation without tethering to power sources. Battery cell production concentrated in China, South Korea, and Japan. Known constraint: Battery supply chain volatility and lithium pricing.

  • Vision sensors and camerascomponent · materiality high · inference

    Multi-camera arrays and depth sensors enabling real-time 3D environment perception and object recognition for manipulation tasks.

  • Contract robotics manufacturingmanufacturing · materiality high · inference

    Specialized assembly and integration of precision robotic systems requiring clean-room environments and quality control protocols. Known constraint: Limited contract manufacturers with humanoid robotics expertise.

  • Foundation AI modelssoftware · materiality high · inference

    Large-scale vision-language models and reinforcement learning frameworks required for robot task learning and generalization.

  • Workplace safety certificationsregulatory · materiality high · inference

    OSHA and international workplace safety approvals required before humanoid robots can operate alongside human workers in industrial settings. Known constraint: No established regulatory framework for autonomous humanoid robots in workplaces.

  • Venture capital and strategic fundingfinancing · materiality high · inference

    Capital-intensive hardware development and manufacturing scale-up requires continuous access to growth equity funding before commercial revenue materializes.

  • Robotics and AI engineering talentlabor · materiality high · inference

    Specialized expertise in bipedal locomotion, manipulation AI, and real-time control systems critical to product differentiation and development velocity. Talent concentrated in SF Bay Area and Boston robotics hubs. Known constraint: Intense competition for robotics AI talent from major tech companies.

Downstream (customers & demand)

  • BMW manufacturing pilot programcustomer concentration · materiality high

    Publicly disclosed deployment partnership with BMW for humanoid robots in automotive manufacturing represents critical early revenue and validation. Initially US manufacturing facilities.

Omitted categories

Sources

Research completed 2026-07-16 08:26 UTC

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