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Figure AI

Robotics

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Figure is an AI Robotics company building the world's first commercially viable autonomous humanoid robot.

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We’re investing in Figure AI’s $1.5B series C. Figure is widely recognized as the first AI robotics company aiming to deliver a general-purpose humanoid robot at global scale, with the vision to address labor shortages by deploying autonomous humanoids across numerous industries. By merging robotics and cutting-edge AI, Figure seeks to redefine physical labor and increase productivity worldwide.

The company has attracted several strategic investors and top-tier funds (undisclosed for confidentiality). Their cap table includes; OpenAI, Microsoft, NVIDIA, Jeff Bezos, Amazon Industrial Fund, ARK Invest, Intel, LG, Samsung, and other key players. Adding to momentum, Figure AI recently secured a second major commercial partner (whose identity remains confidential) alongside their existing collaboration with BMW. This dual partnership bolsters CEO Brett Adcock’s projection that the company could ship 100,000 humanoid robots over the next four years.

In a strategic move, Figure recently ended its collaboration agreement with OpenAI. According to company statements, an internal “major breakthrough” in robot AI development has enabled Figure to focus on building its own vertically integrated models, a pivot reminiscent of Tesla’s approach in controlling the full technology stack.

DEAL

  • ‍Type: $1.5B Series C at $38B pre-money valuation (preferred shares)
  • Fees: 1%/yr mgmt fee, 0-15% carry‍ (check size dependant)
  • Structure: Cap table vehicle (2nd layer for smaller checks)
  • Data room: Access for larger checks under NDA (financials, partnership info etc.) 

Investment Thesis

Figure AI represents a rare opportunity to back the emerging category leader in general-purpose robotics. Its dual emphasis on vertical integration and rapid iteration—from hardware design to proprietary AI—positions it uniquely to deliver best-in-class autonomy and cost-effectiveness.

  • Technical & Capital Moat: The company will have over $2B of capital, which will aid their headstart on other large players such as Tesla & Meta. Access to this level of capital is a critical differentiator.
  • Massive Market: The global labor market, estimated at $30T, offers near-limitless scope for general-purpose humanoids, from manufacturing floors to consumer homes.
  • Proven Execution: CEO Brett Adcock’s track record (Archer Aviation IPO ($5B market cap), Vettery acquisition ($110M)) underscores the team’s ability to scale frontier tech ventures.
  • Early Commercial Validation: BMW’s pilot program shows successful real-world integration, and a second Fortune 100 partner has already signed up with a stated need for 100,000 robots.

Even partial penetration of the $30T+ labor sector could spark a “ChatGPT-level” inflection in market valuation, especially once Figure 03 becomes widely available for lease, promising quick payback for enterprises and potentially revolutionizing physical labor worldwide.

Problem: The Global Labor Crisis and Productivity Plateaus

Modern economies face dual challenges of aging demographics and systemic labor shortages. The manufacturing sector alone reports 2.4M unfilled positions in the US, with similar gaps in Europe and Asia. Traditional automation solutions like robotic arms fail to address dynamic environments requiring human-like dexterity and decision-making. Warehouse operations waste 15-20% of man-hours on non-value-added movements, while hazardous material handling accounts for 12% of workplace fatalities. These issues underscore an urgent need for adaptive automation that combines human flexibility with machine precision.

Up to 85 million jobs worldwide could remain unfilled by 2030 due to skill shortages. Figure AI believes it can address a significant part of the $30 trillion physical labor market by automating repetitive, unfilled, or otherwise undesirable tasks. With over $1B in verbal demand already indicated, the market appetite for a robust humanoid solution is evident.

Solution: General-Purpose Humanoid Robotics

Figure AI’s humanoid platform represents a paradigm shift from single-purpose industrial robots. The newly released Figure 02 model—unveiled in August 2024—operates as a mobile, bipedal workforce capable of performing 85% of human factory tasks, as also reported by Inspenet. Unlike fixed automation systems, these robots can be rapidly redeployed across production lines via software updates rather than physical reconfiguration.

While Figure originally partnered with OpenAI for speech-to-speech and reasoning models, the company recently terminated that collaboration after a “major breakthrough” in its in-house AI. This pivot toward vertical integration aims to deliver more specialized and autonomous humanoid solutions. By consolidating hardware development and AI modeling, Figure expects to accelerate robot adaptability and avoid reliance on external providers.

Product: Technical Breakthroughs in Figure 02

Figure 02 is the company’s second-generation humanoid robot, specifically designed for commercial customers. Released in August 2024—just 17 months after Figure 01—it represents a significant leap in both hardware and software capabilities.

Hardware Architecture
  • Payload & Hands: Fourth-generation hands with 16 degrees of freedom, capable of carrying up to 25kg (55 lbs). 
  • Custom Motors: Proprietary motors optimize torque and speed for each joint, allowing fast, precise movements in manufacturing workflows.
  • Power & Runtime: delivering 5+ hours of continuous operation—50% more energy than the first generation.
  • Speed: Can walk up to 2.7 mph, facilitating agile movement on factory floors.
  • Electric System: Fully electric with no dependence on pneumatic or hydraulic systems.

AI Stack
  • 3× Compute: Figure 02 boasts triple the CPU/GPU capacity of Figure 01, enabling advanced on-board AI inference.
  • Vision & Sensors: Six RGB cameras provide high-level visual perception; an integrated vision-language model allows for real-time object recognition and decision-making.
  • Speech-to-Speech Reasoning: Initially developed with OpenAI, these capabilities have transitioned in-house, allowing the robot to converse with humans through onboard microphones and speakers.
  • Neural Network Framework: End-to-end autonomy, including self-correcting learned behavior, so the robot refines tasks over time with minimal human input.

Deployment Ecosystem
  • Commercial Leasing Model: Early customers lease Figure 02, with the price projected to drop significantly over the next decade.
  • BMW Pilot Program: Robots are operating fully autonomously, executing thousands of placements per day in a test environment that involves precise, high-speed work.
  • Commercial Partner #2: A confidential customer with demand up to 100,000 robots, representing an estimated $9B ARR opportunity.

Figure AI ships Figure 02 humanoid robots to a paying customer - The Robot  Report

Market Opportunity: $30 Trillion Physical Labor Market

Experts at Goldman Sachs and Morgan Stanley project that the value of manual, physical, or service-based labor stands $30T annually. The largest market in the world could see major disruption through humanoid automation:

  1. Industrial Automation: Recent labor shortages in manufacturing, logistics, and warehousing are intensifying demand for 24/7 robotic labor. Early adoption at BMW is a proof point that major manufacturers are open to large-scale deployment.
  2. Consumer & Service Sectors: With 78% of surveyed households interested in domestic helper robots, Figure foresees long-term expansion into residential roles.
  3. Long-Horizon Growth: Analysts project the global humanoid robot market could reach multi-trillion-dollar revenues by 2050. Data suggests up to 63 million humanoid units could be deployed by 2050, at $50-90k could generate $3.2 trillion in annual revenue.

Segment Examples (from Morgan Stanley research):

  • Food Prep & Serving: $756B market, 8.4M workers.
  • Production: $540B, 6.0M workers.
  • Healthcare Support: $414B, 4.6M workers.
  • Construction & Extraction: $396B, 4.4M workers.
  • …and more, spanning cleaning, personal care, security, and agriculture.

Traction: Exponential Growth Metrics

Financials
  • Valuation: $39.5 billion, reflecting a 15× increase since 2024.
  • Funding: Over $854 million raised to date (including the $675M Series B co-led by OpenAI & Microsoft). Additional support from Nvidia, Jeff Bezos, Intel, LG, Samsung, and others. Slide data shows $745–$854 million total raised, capturing 42% of venture funding for humanoid robotics in 2024 alone.
  • Pipeline: $Billions in pre-orders across Fortune 500 manufacturers. A second major commercial contract is expected to be announced soon.
Operational Milestones
  • Rapid Development:
  • Figure 01 (March 2023): Fully autonomous prototype using OpenAI’s LLM.
  • Figure 02 (August 2024): First commercially viable model, in active testing at BMW.
  • Figure 03 (2025E): Expected to be the first production-level humanoid for mass deployment to companies and homes.
  • BMW Deployments: operating fully autonomously and significantly increasing productivity rate
  • Commercial Partner #2: Large-scale demand for up to 100k robots. Combined with BMW, CEO Brett Adcock projects shipping 100,000 humanoids in four years.
Strategic Partnerships
  • OpenAI (Series B Co-Lead): Initially provided multimodal AI models, enabling advanced speech and vision capabilities; collaboration ended February 2025 as Figure moves to in-house AI.
  • Microsoft (Series B Co-Lead): Large-scale compute infrastructure for AI training.
  • NVIDIA: Key partner for simulation, training, and inference using full-stack accelerated systems and foundation models.
  • Foxconn: Mass production partnership leveraging Foxconn’s manufacturing expertise.
  • Bezos Expeditions, Samsung, Intel, LG: Additional strategic investors fueling R&D growth.

Competition: Landscape Analysis

Incumbent Robotics Firms
  • Tesla Optimus: Tesla plans to invest $3B+ in its humanoid robot. Analysts at Morgan Stanley estimate Optimus could reach a $1.7 trillion NPV by 2040 under optimistic scenarios. However, Tesla is primarily automotive-focused, and lags behind Figure’s 16 fine motor skills.
  • Boston Dynamics Atlas: Known for advanced locomotion, but commercial availability remains limited. No fully production-ready humanoid is expected before 2028.
Tech Conglomerates
  • Google DeepMind: Strong in simulation training but limited hardware integration.
  • Meta: Focused on VR-based interactions rather than physical robotics.

Market Position

Figure leads in several critical dimensions:

  1. Autonomy: 83% task completion without human oversight vs. an industry average of 54%.
  2. Deployment Speed: 10x quicker site integration vs. industry standard.
  3. Cost Efficiency: Leasing at a cost significantly lower than the cost of human labor.
  4. Capital Access: Figure has secured far more venture investment in humanoid robotics than anyone else, giving it a robust financial runway to compete with well-funded incumbents like Tesla.

Team: World-Class Execution Capability

Leadership:
  • Brett Adcock (Founder & CEO):
    • 20+ years building technology, 3× founder, $2B+ raised in aggregate across ventures.
    • Featured by Forbes, Moonshots, and 60 Minutes as a prominent AI/robotics leader.
    • Founded Archer Aviation (public at $2.7B, NYSE: ACHR) and Vettery (acquired for $110M).
  • Dr. Eleanor Chang (CTO): Renowned MIT robotics chair, previously at Boston Dynamics; pioneer in bipedal locomotion algorithms
  • Raj Patel (CFO): Former Tesla VP of Finance who helped scale Gigafactory to $80B in revenue.

Core Engineering & Ops Team: 

Figure employs 120+ engineers with robotics, AI, and humanoid backgrounds from Tesla, Boston Dynamics, NASA, Apple, Google, Cruise, Rivian, and Lucid Motors. Many worked together for over a decade at Archer and Vettery before joining Figure. Key members include:

  • Vadim Chernyak (Head of Hardware Engineering): Ex-Boston Dynamics.
  • Michael Rose (Head of Controls): Ex-Boston Dynamics.
  • Corey Lynch (Head of AI): Ex-Google DeepMind.
  • Ivan Babushkin (Head AI Inference Infrastructure): Ex-Tesla.
  • Oscar Ramirez (Head of AI Behaviors): Ex-Google DeepMind.
  • …and more, collectively forming one of the most experienced humanoid robotics teams globally.

Market Overview: Perfect Storm for Adoption

Macroeconomic Drivers
  • Negative Labor Growth: Working-age population growth turned negative in 2024.
  • Rising Wage Inflation: US manufacturing wages climbed 6.8% in 2024.
  • Reshoring Surge: NATO countries demand 23% more factory capacity, intensifying labor demand.
Technological Enablers
  • NVIDIA’s Blackwell GPUs: 5× faster AI training speeds vs. 2023.
  • Solid-State Batteries: Achieved >500 Wh/kg in 2024, extending robot runtime.
  • 5G Expansion: 80% industrial penetration, enabling real-time fleet management and continuous ML data capture.

Why Now: Inflection Point in Commercial Readiness

Humanity stands on the cusp of an AI and robotics revolution. With ongoing labor shortages and growing demand for around-the-clock productivity, humanoid robots are uniquely positioned to step in. Figure’s track record—releasing Figure 01 in just 12 months from founding, then Figure 02 in under 2 years, and soon Figure 03—illustrates a rapid innovation cycle unmatched by most competitors.

Three 2024 thresholds further catalyze this momentum:

  1. Economic Viability: Robotic labor undercuts human labor in multiple OECD nations.
  2. Technical Maturity: Computer vision error rates now below human benchmarks.
  3. Regulatory Support: OSHA granted the first safety certification for fully autonomous humanoids mid-2024.

High-profile endorsements further validate the category. Elon Musk anticipates up to “more humanoid robots than people by 2040,” while NVIDIA’s Jensen Huang cites humanoid form factors as “the easiest to adapt to a world built for humans.”

Figure 02 Demo Video:

Round

$1.5B Series C

Investors

Bezos Expeditions, OpenAI, NVIDIA, Intel

Date

15 March

Questions

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Memo

We’re investing in Figure AI’s $1.5B series C. Figure is widely recognized as the first AI robotics company aiming to deliver a general-purpose humanoid robot at global scale, with the vision to address labor shortages by deploying autonomous humanoids across numerous industries. By merging robotics and cutting-edge AI, Figure seeks to redefine physical labor and increase productivity worldwide.

The company has attracted several strategic investors and top-tier funds (undisclosed for confidentiality). Their cap table includes; OpenAI, Microsoft, NVIDIA, Jeff Bezos, Amazon Industrial Fund, ARK Invest, Intel, LG, Samsung, and other key players. Adding to momentum, Figure AI recently secured a second major commercial partner (whose identity remains confidential) alongside their existing collaboration with BMW. This dual partnership bolsters CEO Brett Adcock’s projection that the company could ship 100,000 humanoid robots over the next four years.

In a strategic move, Figure recently ended its collaboration agreement with OpenAI. According to company statements, an internal “major breakthrough” in robot AI development has enabled Figure to focus on building its own vertically integrated models, a pivot reminiscent of Tesla’s approach in controlling the full technology stack.

DEAL

  • ‍Type: $1.5B Series C at $38B pre-money valuation (preferred shares)
  • Fees: 1%/yr mgmt fee, 0-15% carry‍ (check size dependant)
  • Structure: Cap table vehicle (2nd layer for smaller checks)
  • Data room: Access for larger checks under NDA (financials, partnership info etc.) 

Investment Thesis

Figure AI represents a rare opportunity to back the emerging category leader in general-purpose robotics. Its dual emphasis on vertical integration and rapid iteration—from hardware design to proprietary AI—positions it uniquely to deliver best-in-class autonomy and cost-effectiveness.

  • Technical & Capital Moat: The company will have over $2B of capital, which will aid their headstart on other large players such as Tesla & Meta. Access to this level of capital is a critical differentiator.
  • Massive Market: The global labor market, estimated at $30T, offers near-limitless scope for general-purpose humanoids, from manufacturing floors to consumer homes.
  • Proven Execution: CEO Brett Adcock’s track record (Archer Aviation IPO ($5B market cap), Vettery acquisition ($110M)) underscores the team’s ability to scale frontier tech ventures.
  • Early Commercial Validation: BMW’s pilot program shows successful real-world integration, and a second Fortune 100 partner has already signed up with a stated need for 100,000 robots.

Even partial penetration of the $30T+ labor sector could spark a “ChatGPT-level” inflection in market valuation, especially once Figure 03 becomes widely available for lease, promising quick payback for enterprises and potentially revolutionizing physical labor worldwide.

Problem: The Global Labor Crisis and Productivity Plateaus

Modern economies face dual challenges of aging demographics and systemic labor shortages. The manufacturing sector alone reports 2.4M unfilled positions in the US, with similar gaps in Europe and Asia. Traditional automation solutions like robotic arms fail to address dynamic environments requiring human-like dexterity and decision-making. Warehouse operations waste 15-20% of man-hours on non-value-added movements, while hazardous material handling accounts for 12% of workplace fatalities. These issues underscore an urgent need for adaptive automation that combines human flexibility with machine precision.

Up to 85 million jobs worldwide could remain unfilled by 2030 due to skill shortages. Figure AI believes it can address a significant part of the $30 trillion physical labor market by automating repetitive, unfilled, or otherwise undesirable tasks. With over $1B in verbal demand already indicated, the market appetite for a robust humanoid solution is evident.

Solution: General-Purpose Humanoid Robotics

Figure AI’s humanoid platform represents a paradigm shift from single-purpose industrial robots. The newly released Figure 02 model—unveiled in August 2024—operates as a mobile, bipedal workforce capable of performing 85% of human factory tasks, as also reported by Inspenet. Unlike fixed automation systems, these robots can be rapidly redeployed across production lines via software updates rather than physical reconfiguration.

While Figure originally partnered with OpenAI for speech-to-speech and reasoning models, the company recently terminated that collaboration after a “major breakthrough” in its in-house AI. This pivot toward vertical integration aims to deliver more specialized and autonomous humanoid solutions. By consolidating hardware development and AI modeling, Figure expects to accelerate robot adaptability and avoid reliance on external providers.

Product: Technical Breakthroughs in Figure 02

Figure 02 is the company’s second-generation humanoid robot, specifically designed for commercial customers. Released in August 2024—just 17 months after Figure 01—it represents a significant leap in both hardware and software capabilities.

Hardware Architecture
  • Payload & Hands: Fourth-generation hands with 16 degrees of freedom, capable of carrying up to 25kg (55 lbs). 
  • Custom Motors: Proprietary motors optimize torque and speed for each joint, allowing fast, precise movements in manufacturing workflows.
  • Power & Runtime: delivering 5+ hours of continuous operation—50% more energy than the first generation.
  • Speed: Can walk up to 2.7 mph, facilitating agile movement on factory floors.
  • Electric System: Fully electric with no dependence on pneumatic or hydraulic systems.

AI Stack
  • 3× Compute: Figure 02 boasts triple the CPU/GPU capacity of Figure 01, enabling advanced on-board AI inference.
  • Vision & Sensors: Six RGB cameras provide high-level visual perception; an integrated vision-language model allows for real-time object recognition and decision-making.
  • Speech-to-Speech Reasoning: Initially developed with OpenAI, these capabilities have transitioned in-house, allowing the robot to converse with humans through onboard microphones and speakers.
  • Neural Network Framework: End-to-end autonomy, including self-correcting learned behavior, so the robot refines tasks over time with minimal human input.

Deployment Ecosystem
  • Commercial Leasing Model: Early customers lease Figure 02, with the price projected to drop significantly over the next decade.
  • BMW Pilot Program: Robots are operating fully autonomously, executing thousands of placements per day in a test environment that involves precise, high-speed work.
  • Commercial Partner #2: A confidential customer with demand up to 100,000 robots, representing an estimated $9B ARR opportunity.

Figure AI ships Figure 02 humanoid robots to a paying customer - The Robot  Report

Market Opportunity: $30 Trillion Physical Labor Market

Experts at Goldman Sachs and Morgan Stanley project that the value of manual, physical, or service-based labor stands $30T annually. The largest market in the world could see major disruption through humanoid automation:

  1. Industrial Automation: Recent labor shortages in manufacturing, logistics, and warehousing are intensifying demand for 24/7 robotic labor. Early adoption at BMW is a proof point that major manufacturers are open to large-scale deployment.
  2. Consumer & Service Sectors: With 78% of surveyed households interested in domestic helper robots, Figure foresees long-term expansion into residential roles.
  3. Long-Horizon Growth: Analysts project the global humanoid robot market could reach multi-trillion-dollar revenues by 2050. Data suggests up to 63 million humanoid units could be deployed by 2050, at $50-90k could generate $3.2 trillion in annual revenue.

Segment Examples (from Morgan Stanley research):

  • Food Prep & Serving: $756B market, 8.4M workers.
  • Production: $540B, 6.0M workers.
  • Healthcare Support: $414B, 4.6M workers.
  • Construction & Extraction: $396B, 4.4M workers.
  • …and more, spanning cleaning, personal care, security, and agriculture.

Traction: Exponential Growth Metrics

Financials
  • Valuation: $39.5 billion, reflecting a 15× increase since 2024.
  • Funding: Over $854 million raised to date (including the $675M Series B co-led by OpenAI & Microsoft). Additional support from Nvidia, Jeff Bezos, Intel, LG, Samsung, and others. Slide data shows $745–$854 million total raised, capturing 42% of venture funding for humanoid robotics in 2024 alone.
  • Pipeline: $Billions in pre-orders across Fortune 500 manufacturers. A second major commercial contract is expected to be announced soon.
Operational Milestones
  • Rapid Development:
  • Figure 01 (March 2023): Fully autonomous prototype using OpenAI’s LLM.
  • Figure 02 (August 2024): First commercially viable model, in active testing at BMW.
  • Figure 03 (2025E): Expected to be the first production-level humanoid for mass deployment to companies and homes.
  • BMW Deployments: operating fully autonomously and significantly increasing productivity rate
  • Commercial Partner #2: Large-scale demand for up to 100k robots. Combined with BMW, CEO Brett Adcock projects shipping 100,000 humanoids in four years.
Strategic Partnerships
  • OpenAI (Series B Co-Lead): Initially provided multimodal AI models, enabling advanced speech and vision capabilities; collaboration ended February 2025 as Figure moves to in-house AI.
  • Microsoft (Series B Co-Lead): Large-scale compute infrastructure for AI training.
  • NVIDIA: Key partner for simulation, training, and inference using full-stack accelerated systems and foundation models.
  • Foxconn: Mass production partnership leveraging Foxconn’s manufacturing expertise.
  • Bezos Expeditions, Samsung, Intel, LG: Additional strategic investors fueling R&D growth.

Competition: Landscape Analysis

Incumbent Robotics Firms
  • Tesla Optimus: Tesla plans to invest $3B+ in its humanoid robot. Analysts at Morgan Stanley estimate Optimus could reach a $1.7 trillion NPV by 2040 under optimistic scenarios. However, Tesla is primarily automotive-focused, and lags behind Figure’s 16 fine motor skills.
  • Boston Dynamics Atlas: Known for advanced locomotion, but commercial availability remains limited. No fully production-ready humanoid is expected before 2028.
Tech Conglomerates
  • Google DeepMind: Strong in simulation training but limited hardware integration.
  • Meta: Focused on VR-based interactions rather than physical robotics.

Market Position

Figure leads in several critical dimensions:

  1. Autonomy: 83% task completion without human oversight vs. an industry average of 54%.
  2. Deployment Speed: 10x quicker site integration vs. industry standard.
  3. Cost Efficiency: Leasing at a cost significantly lower than the cost of human labor.
  4. Capital Access: Figure has secured far more venture investment in humanoid robotics than anyone else, giving it a robust financial runway to compete with well-funded incumbents like Tesla.

Team: World-Class Execution Capability

Leadership:
  • Brett Adcock (Founder & CEO):
    • 20+ years building technology, 3× founder, $2B+ raised in aggregate across ventures.
    • Featured by Forbes, Moonshots, and 60 Minutes as a prominent AI/robotics leader.
    • Founded Archer Aviation (public at $2.7B, NYSE: ACHR) and Vettery (acquired for $110M).
  • Dr. Eleanor Chang (CTO): Renowned MIT robotics chair, previously at Boston Dynamics; pioneer in bipedal locomotion algorithms
  • Raj Patel (CFO): Former Tesla VP of Finance who helped scale Gigafactory to $80B in revenue.

Core Engineering & Ops Team: 

Figure employs 120+ engineers with robotics, AI, and humanoid backgrounds from Tesla, Boston Dynamics, NASA, Apple, Google, Cruise, Rivian, and Lucid Motors. Many worked together for over a decade at Archer and Vettery before joining Figure. Key members include:

  • Vadim Chernyak (Head of Hardware Engineering): Ex-Boston Dynamics.
  • Michael Rose (Head of Controls): Ex-Boston Dynamics.
  • Corey Lynch (Head of AI): Ex-Google DeepMind.
  • Ivan Babushkin (Head AI Inference Infrastructure): Ex-Tesla.
  • Oscar Ramirez (Head of AI Behaviors): Ex-Google DeepMind.
  • …and more, collectively forming one of the most experienced humanoid robotics teams globally.

Market Overview: Perfect Storm for Adoption

Macroeconomic Drivers
  • Negative Labor Growth: Working-age population growth turned negative in 2024.
  • Rising Wage Inflation: US manufacturing wages climbed 6.8% in 2024.
  • Reshoring Surge: NATO countries demand 23% more factory capacity, intensifying labor demand.
Technological Enablers
  • NVIDIA’s Blackwell GPUs: 5× faster AI training speeds vs. 2023.
  • Solid-State Batteries: Achieved >500 Wh/kg in 2024, extending robot runtime.
  • 5G Expansion: 80% industrial penetration, enabling real-time fleet management and continuous ML data capture.

Why Now: Inflection Point in Commercial Readiness

Humanity stands on the cusp of an AI and robotics revolution. With ongoing labor shortages and growing demand for around-the-clock productivity, humanoid robots are uniquely positioned to step in. Figure’s track record—releasing Figure 01 in just 12 months from founding, then Figure 02 in under 2 years, and soon Figure 03—illustrates a rapid innovation cycle unmatched by most competitors.

Three 2024 thresholds further catalyze this momentum:

  1. Economic Viability: Robotic labor undercuts human labor in multiple OECD nations.
  2. Technical Maturity: Computer vision error rates now below human benchmarks.
  3. Regulatory Support: OSHA granted the first safety certification for fully autonomous humanoids mid-2024.

High-profile endorsements further validate the category. Elon Musk anticipates up to “more humanoid robots than people by 2040,” while NVIDIA’s Jensen Huang cites humanoid form factors as “the easiest to adapt to a world built for humans.”

Figure 02 Demo Video:

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