From Farm to Entrepreneur: After Building Flying Cars, He Bet on the Robot Sector and Created a $39 Billion Giant

marsbitОпубліковано о 2026-05-20Востаннє оновлено о 2026-05-20

Анотація

From Farm to Tech Tycoon: Brett Adcock's Journey to a $39B Robot Giant Brett Adcock, a serial entrepreneur from an Illinois farm, has built his third major venture, humanoid robotics company Figure AI, into a $39 billion behemoth backed by NVIDIA, Intel, and others. His path began with the sale of his recruiting platform Vettery for $110 million in 2018. He then co-founded and took electric air taxi company Archer Aviation public in 2021 before departing over strategic differences. Adcock founded Figure AI in 2022 with a 30-year vision to create general-purpose humanoid robots that can work in human-designed environments, aiming to address labor shortages in manufacturing, logistics, and retail. The company gained attention through live-streamed robot sorting challenges and a viral demo, though it faces skepticism over its high valuation versus early commercial progress. A key moment was Figure's split from OpenAI in 2024 after a brief collaboration, with Adcock claiming OpenAI provided limited value and deciding to develop AI models internally—a move OpenAI contested. Adcock's pattern is tackling capital-intensive, long-term tech frontiers, moving from software to aviation to robotics, betting on AI and automation as the future of labor.

Author: Zen, PANews

Humanoid robotics company Figure AI recently initiated a "Human vs. Robot" parcel sorting challenge, attracting global attention. This competition, narrowly won by humans, led many to conclude that "humans won the present but lost the future." This statement is not baseless. Before the competition began, Figure had already started a live stream of robot sorting, which has now been broadcasting continuously for seven days. In terms of tireless endurance and continuous work capability, robots far surpass humans.

This sorting challenge live stream, along with the earlier heavyweight promotional video for a home robot, has also earned Figure the label of being a showman. However, there is no doubt that Figure AI is becoming one of Silicon Valley's most-watched humanoid robotics companies. This company, founded just three years ago, saw its valuation soar to $39 billion after a new round of financing, with investors including top-tier corporations and capital such as NVIDIA, Intel Capital, Salesforce, LG, and Qualcomm.

Standing behind this company is serial entrepreneur Brett Adcock, who hails from a farm. Before founding Figure, he had already had two distinct entrepreneurial experiences. First, he built the recruitment platform Vettery, selling it to the Adecco Group for $110 million in 2018. Subsequently, he co-founded electric vertical takeoff and landing (eVTOL) aircraft company Archer Aviation, driving its listing on the New York Stock Exchange in 2021.

Brett Adcock is not a founder who has dug deep in one industry over a long period. Instead, he continuously ventures into more complex, capital-intensive, and harder-to-validate fields. Figure is his most high-profile bet to date, placing him at the center of the AI robotics boom.

Surrounding this company, there are grand visions about a general-purpose robotic workforce, as well as skepticism regarding overvaluation, premature commercialization, safety risks, and technological approaches. To understand Figure, one must first understand how its founder has progressed step by step to reach this point.

Serial Entrepreneur from a Corn and Soybean Farm

Brett Adcock was born in 1986 on a corn and soybean farm in central Illinois. Growing up in this multi-generational farming family environment instilled in Adcock a strong emphasis on "how to create value for the world from scratch." He began starting internet companies at the age of 16. By the time he graduated as valedictorian of his high school class, his family clearly understood that he should perhaps leave the farm and venture into the world of entrepreneurship and business.

Brett Adcock during childhood

During university, Adcock continued to independently develop various software, initially creating a website selling outdoor electronics. Later, he focused his efforts on the job recruitment sector, developing content websites to help job seekers prepare for interviews in fields like finance ("Street of Walls"), a mobile job search app ("Working App"), and a video interview website. These projects were not successful and resembled early, immature entrepreneurial experiments.

In 2012, while striving in New York, Adcock turned his attention back to the recruitment market. He co-founded Vettery with Adam Goldstein. Initially, Vettery was a platform targeting third-party recruitment agencies, but this model was quickly proven uncompetitive. After several adjustments, Adcock and the team decided to pivot, placing job seekers and companies directly on the same platform and improving matching efficiency through software and machine learning.

Brett Adcock (5th from right) with his team

After the Vettery platform launched, growth accelerated. Adcock later recalled that platform users experienced consecutive weeks of doubling growth. By 2017, Vettery's employee count had grown to 300, with about 20,000 clients and approximately 30,000 interviews conducted monthly through the system. The company also caught the attention of the world's largest recruitment company, the Adecco Group, and was acquired by the latter for $110 million in 2018.

This transaction provided Adcock, just past his thirties, with a substantial personal fortune. He began looking for more complex, longer-cycle problems that also required capital and engineering prowess, specifically in hardware and sustainable development. Thus, he moved west to California, heading to Silicon Valley to seek the next opportunity.

In Three Years, Building a Flying Car Startup into a Public Company

Aiming to tackle more challenging problems, Adcock could no longer randomly throw out ideas and conduct low-cost experiments like he did in university. After careful consideration, he chose to focus on solving transportation problems by entering the three-dimensional airspace. Adcock wanted to try creating the flying cars seen in sci-fi movies, making electric vertical takeoff and landing (eVTOL) aircraft the most suitable choice.

In 2018, Adcock teamed up with Adam Goldstein again to co-found Archer Aviation. Compared to Vettery, Archer was an entirely different world. It required a top-tier engineering team, hardware R&D, supply chain management, engineering manufacturing, aviation certification, public safety, and long-term patience from capital markets.

The founding of Archer Aviation also involved a fortuitous opportunity. At the time, French aviation giant Airbus was relocating all its flying car "Vahana" business to France, and flight car company Kitty Hawk's cost-cutting measures due to its partnership with Boeing caused dissatisfaction among some engineering team members (Kitty Hawk later dissolved in 2022). Seizing the opportunity, Adcock absorbed a large number of personnel from these two projects, rapidly assembling a seasoned team.

In 2021, Adcock and his team successfully conducted the maiden flight of the full-scale, two-seat, autonomous prototype aircraft "Maker." They also partnered with automotive giant Fiat Chrysler on supply chain, advanced composite materials, and engineering, design, and production aspects, and secured a $1 billion order from United Airlines. That same year, Archer Aviation went public on the New York Stock Exchange via a SPAC merger, valued at approximately $2.7 billion. Today, the company's market capitalization stands at $4.5 billion and it is part of Cathie Wood's Ark Invest portfolio.

Brett Adcock rings the opening bell at the NYSE

Despite entering the market relatively late, Archer Aviation's rapid rise has made it a major contender in the emerging eVTOL industry. In November 2022, Archer's five-seater "Midnight" aircraft made a stunning debut. Once it receives type certification from the Federal Aviation Administration (FAA), it will become the company's first air taxi product.

However, Adcock quietly left the company shortly after its IPO. In April 2022, Archer announced that Adam Goldstein would serve as the sole CEO, with Adcock stepping down as co-CEO but remaining on the board. The company explained at the time that the move was to simplify the operating structure and advance flight testing, certification, and commercialization.

The real reason for his departure may be more complex and is unknown to the public. Judging by the company's stock performance, it was indeed in a post-IPO slump. Adcock later stated that he left Archer due to "differences" with the board, especially after the company went public, regarding what he wanted to do versus what the team wanted to do.

Perhaps for him, the governance of a public company, the regulatory path, and the pace of commercialization no longer suited a founder who always wanted to leap into the next technological revolution.

Final Venture? Adcock Plans to Build Figure with a 30-Year Vision

After leaving Archer, Adcock quickly entered the next equally sci-fi and currently even larger bet. In 2022, he founded Figure AI, entering the field of general-purpose humanoid robotics. In Figure's Master Plan, he wrote that his goal is to build the company with a 30-year vision, investing time and resources into "maximizing utility impact on humanity."

Regarding team composition, Adcock adopted a strategy similar to when he founded Archer. He rapidly assembled a team of 60 people, with members primarily hailing from renowned companies and projects such as Boston Dynamics, Tesla, Apple's autonomous vehicle project, and Google DeepMind.

Giving AI a physical body is the proposition Adcock set for Figure. Figure aims not to create industrial robotic arms or service robots, but rather general-purpose humanoid robots capable of entering human environments, using human tools, and performing a variety of tasks. Adcock believes that the world is inherently designed for the human body; therefore, creating robots that interact with the world in a similar way can automate a vast amount of work.

The underlying rationale for this vision is Adcock's assessment of the labor market. In Figure's Master Plan, he writes that the United States has over 10 million "unsafe or undesirable" jobs, and an aging population will further exacerbate the difficulty for businesses to expand their workforce. If the economy is to continue growing, it requires more productivity, which in turn demands more automation. Consequently, Figure has identified manufacturing, logistics, warehousing, retail, and home scenarios as its long-term directions.

As Figure's valuation rises, the skepticism directed at Adcock intensifies. The first category of doubt centers on the vast gap between commercialization and valuation. Essentially, the market is buying a distant future expectation. While Figure has attracted market enthusiasm with a valuation nearing $40 billion, its revenue scale and mass production capabilities remain limited. Its future revenue projections heavily rely on the ability to deploy a large number of robots before 2029.

Furthermore, Figure's split with OpenAI has attracted significant attention and controversy. In 2024, Figure partnered with OpenAI to develop next-generation robot AI models and received investment support from OpenAI, Microsoft, NVIDIA, Jeff Bezos, and others. However, less than a year later, Adcock decided to terminate the partnership and instead develop the models internally.

According to Business Insider, Adcock later stated that OpenAI brought little value to Figure beyond its brand, and that robot AI requires a different technical approach than chatbots. He also mentioned that when OpenAI indicated it wanted to build its own humanoid robots, he considered the partnership over. The report also noted that a technical employee from OpenAI shared a related clip, calling Adcock's claims "untrue."

"Preference" for More Difficult Problems and Larger Narratives

Looking back at Adcock's three main entrepreneurial ventures, Vettery, Archer, and Figure appear unrelated on the surface—one is a recruitment platform, one is a flying car company, and one is a humanoid robot company. However, they share the same entrepreneurial philosophy: targeting a massive, inefficient market where a technological inflection point is emerging, and advancing simultaneously with capital, engineering teams, and bold narratives.

With Vettery, he bet that machine learning could improve recruitment matching efficiency. With Archer, he bet that batteries, motors, and aerospace engineering could unlock urban air mobility. With Figure, he is betting that AI models, robotic hardware, and manufacturing capabilities can fuse into a new type of labor force. Adcock's thinking does not start from a single-point product but works backward from "how the future world should operate" to determine what kind of company to build today.

Brett Adcock's career resembles a curve of increasing asset intensity: from software platforms to aircraft, and then to humanoid robots. He is not a technical expert who has dug deep in a single field for decades. He is more like an "entrepreneurial hunter," sensing opportunities, organizing resources, recruiting teams, amplifying the narrative, and then moving on.

Now, standing under the spotlight of Figure AI, he faces skepticism as loud as the applause. But regardless of the outcome, he has already etched his name into the first chapter of AI robotics business history.

Пов'язані питання

QWhat is Figure AI and why has it attracted significant attention recently?

AFigure AI is a humanoid robotics company. It recently gained global attention by hosting a 'Human vs. Robot' parcel sorting challenge and conducting a 7-day live stream of its robots performing sorting tasks. The company, founded just three years ago, reached a valuation of $390 billion after a new funding round, attracting investments from top-tier firms like NVIDIA, Intel Capital, Salesforce, LG, and Qualcomm.

QWho is Brett Adcock and what are his previous entrepreneurial ventures?

ABrett Adcock is a serial entrepreneur and the founder of Figure AI. His previous ventures include co-founding Vettery, a recruitment platform sold to the Adecco Group for $110 million in 2018, and co-founding Archer Aviation, an electric vertical takeoff and landing (eVTOL) aircraft company that went public on the NYSE in 2021.

QWhat is the core mission and long-term vision Brett Adcock has for Figure AI?

ABrett Adcock's mission for Figure AI is to build general-purpose humanoid robots that can operate in human environments, use human tools, and perform a variety of tasks. He views this as a 30-year project aimed at maximizing utility for humanity by automating labor in sectors like manufacturing, logistics, warehousing, retail, and eventually homes, to address workforce shortages and boost productivity.

QWhy did Brett Adcock leave Archer Aviation shortly after it went public?

AAdcock left his co-CEO role at Archer Aviation due to what he later described as a 'misalignment' with the board. After the company went public, he felt that what he wanted to do differed from what the team wanted to do. This suggests disagreements over the company's direction, governance, and commercialization pace post-IPO.

QWhat are some of the major challenges and criticisms facing Figure AI?

AFigure AI faces several criticisms: 1) Its $390 billion valuation is seen as extremely high compared to its current commercial scale and production capabilities. 2) Its revenue projections depend heavily on deploying large numbers of robots by 2029, which is uncertain. 3) It ended a high-profile partnership with OpenAI on robot AI models, citing a divergence in technical needs and OpenAI's own robotics ambitions, a move that was publicly disputed.

Пов'язані матеріали

After Tokenization of Assets, How to Exit?

Title: How to Exit After Asset Tokenization? Author: Symbiotic Compiled by: Hu Tao, ChainCatcher Summary: Tokenization addresses how assets go on-chain but largely leaves the redemption question unresolved. While tokenized assets can settle instantly, the underlying redemption for assets like treasuries, private credit, or real estate can take from T+1 to 180 days. This gap hinders DeFi adoption of Real World Assets (RWAs). Three emerging models aim to provide instant exit liquidity, differing primarily in their capital structure and efficiency: 1. **Balance Sheet Model (e.g., Grove Basin):** A single entity (like Sky) provides immediate liquidity from its balance sheet, acting as a bridge during the settlement period. It offers simplicity and deep initial liquidity but is constrained by a single entity's capacity and risk appetite. 2. **Asset-Specific Vault Model (e.g., Upshift Clear):** Independent liquidity providers fund dedicated vaults for each supported asset, earning fees. It decentralizes capital sources but isolates liquidity and capital per asset, leading to potential fragmentation. 3. **Shared Liquidity Layer Model (e.g., Symbiotic Liquid Lane):** A shared capital pool supports multiple RWA types simultaneously. Funds remain productive between redemptions (e.g., earning yield in lending markets). Exits are settled via a competitive RFQ market. This model aims for higher capital efficiency, scalability across assets, and serves longer-duration assets like private credit. Key differentiators are: 1) Source of capital and risk bearer, 2) Redemption pricing mechanism, 3) Capital efficiency, 4) Scalability to new asset types, and 5) Composability. The shared liquidity layer model represents a move from piecemeal solutions toward scalable infrastructure, enabling T+0 exits by pooling capital, maintaining yield, and using competitive pricing, thus enhancing RWA utility in DeFi.

marsbit10 хв тому

After Tokenization of Assets, How to Exit?

marsbit10 хв тому

After Tokenizing Assets, How to Exit?

After tokenization, a key unresolved issue is providing holders with a reliable exit mechanism, as underlying asset settlement (taking days to months) lags far behind on-chain token settlement. Three primary models for instant liquidity have emerged, differing in their capital structure and efficiency: 1. **Balance Sheet Model (e.g., Grove Basin):** A single, well-capitalized entity (like Sky) provides immediate liquidity from its own reserves. This offers simplicity and deep initial liquidity but is constrained by that single balance sheet's capacity and risk appetite, limiting scalability. 2. **Dedicated Vault Model (e.g., Upshift Clear):** Independent liquidity providers (LPs) fund separate vaults for each supported asset. This decentralizes capital sources but isolates liquidity and capital, which becomes inefficient as the number of tokenized assets grows. 3. **Shared Liquidity Layer Model (Symbiotic Liquid Lane):** Independent capital providers fund shared vaults that can support multiple tokenized assets simultaneously. Capital remains productive between redemptions (e.g., earning yield in DeFi markets). Exits are settled via a competitive RFQ market where market makers bid. The article argues that the shared layer model offers superior capital efficiency and scalability. It transforms exit liquidity from an asset-specific patch into shared market infrastructure, allowing liquidity capacity to grow with overall market participation rather than being fragmented per asset. This is particularly valuable for longer-duration assets like private credit, where reliable T+0 exits can significantly enhance their utility in DeFi.

链捕手24 хв тому

After Tokenizing Assets, How to Exit?

链捕手24 хв тому

Anthropic's Triple Moment: Code Leak, Government Confrontation, and Weaponization

This article analyzes Anthropic's recent conflicts and strategic moves following the U.S. government's emergency halt of its new Fable model, citing national security concerns over potential "jailbreaks." The author argues this incident reveals deeper tensions between AI labs, governments, and the software industry. While critics view Anthropic's safety-focused rhetoric as marketing fear, the author suggests it serves as a commercial moat masking the company's core economic imperative: moving closer to end-users and their valuable data to avoid being commoditized. The piece outlines a coming clash between frontier AI labs like Anthropic and established software companies. Labs need real-world usage data for model improvement via reinforcement learning, creating a cycle where better products attract more users and more data. This threatens software firms who, as Microsoft's Satya Nadella warns, risk having their value captured by a few dominant models. Anthropic's controversial policy changes—initially secretly degrading Fable's performance for LLM development and expanding data retention—are framed as assertions of control, justified by its safety narrative. The company's foundational belief that it alone is sufficiently concerned about superintelligent AI dangers legitimizes its actions, from resisting government demands to shaping usage policies. The author concludes that this alignment of mission, talent, and business strategy is powerful but concerning, as it concentrates immense potential power in the hands of those convinced of their own righteous understanding.

marsbit34 хв тому

Anthropic's Triple Moment: Code Leak, Government Confrontation, and Weaponization

marsbit34 хв тому

Торгівля

Спот
Ф'ючерси

Популярні статті

Як купити ZEN

Ласкаво просимо до HTX.com! Ми зробили покупку Horizen (ZEN) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити Horizen (ZEN).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої Horizen (ZEN)Після придбання Horizen (ZEN) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля Horizen (ZEN)Легко торгуйте Horizen (ZEN) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

234 переглядів усьогоОпубліковано 2024.12.12Оновлено 2026.06.02

Як купити ZEN

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни ZEN (ZEN).

活动图片