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

marsbitPubblicato 2026-05-20Pubblicato ultima volta 2026-05-20

Introduzione

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.

Crypto di tendenza

Domande pertinenti

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.

Letture associate

MSTR Discloses Sale of 3,588 Bitcoins, Stock Price Drops Over 5% at One Point During Trading

MicroStrategy, the world's largest corporate holder of Bitcoin, has significantly shifted its business model. Between June 29 and July 5, the company sold 3,588 bitcoins for approximately $216 million to fund quarterly dividends for its preferred stock. This marks its largest-ever Bitcoin sale and signals a strategic pivot: Bitcoin is transitioning from a "buy-and-hold" reserve asset to a liquidity management tool for the company. This move follows a recent authorization allowing Bitcoin sales when equity fundraising is less attractive. The announcement contributed to a more than 5% intraday drop in MicroStrategy's stock price, while Bitcoin fell to around $61,800—below the company's average holding cost of roughly $75,700. The sale represents a major departure from MicroStrategy's long-standing "never sell" commitment, which saw its first minor breach in May with a $2.5 million sale. The latest, hundred-times-larger transaction underscores growing financial pressures. Analysts note the company faces about $1.5 billion in annual preferred dividend obligations, far exceeding cash flow from its software business. As of July 5, MicroStrategy holds 843,775 bitcoins. Its current operational logic involves buying Bitcoin during favorable financing conditions and selling portions to cover dividends when needed, creating a flexible capital management cycle amidst a challenging market environment.

华尔街日报1 h fa

MSTR Discloses Sale of 3,588 Bitcoins, Stock Price Drops Over 5% at One Point During Trading

华尔街日报1 h fa

Q-Day Countdown: Will Quantum Computing End Cryptocurrencies?

Quantum Computing's Threat to Cryptocurrency: A Countdown to Q-Day Quantum computing, specifically Shor's algorithm, poses a fundamental threat to the public-key cryptography (e.g., ECDSA, RSA) that secures blockchain networks like Bitcoin and Ethereum. This critical juncture, known as Q-Day, is estimated to occur potentially within the next 5-15 years. The core vulnerability stems from the public and immutable nature of blockchains. Assets in addresses where the public key is already exposed on-chain (e.g., spent outputs) are at direct risk, as a sufficiently powerful quantum computer could derive the private key. This threatens the very trust model of cryptocurrencies. The response lies in Post-Quantum Cryptography (PQC)—algorithms like lattice-based ML-DSA and hash-based SLH-DSA, which are resistant to quantum attacks. NIST has standardized key PQC algorithms (FIPS 203, 204, 205), providing a migration path. However, the primary challenge is not technical but socio-economic and involves complex governance: * **Bitcoin's** path is constrained by its conservative ethos. Migrating requires a soft-fork to new address types, facing hurdles like significantly larger signature sizes and, most critically, the divisive governance question of how to handle at-risk legacy UTXOs without violating core principles. * **Ethereum** is pursuing a "cryptographic agility" strategy, with a multi-layered roadmap. It leverages account abstraction for user accounts and is developing compressed hash-based signatures (e.g., leanXMSS) for its consensus layer, aiming for a full-stack upgrade over time. In conclusion, quantum computing does not spell an instant end for cryptocurrency but initiates a critical countdown. The industry has a limited "engineering comfort window" to orchestrate a coordinated, ecosystem-wide migration to PQC. The ultimate bottlenecks are the immense coordination efforts and governance decisions required for this foundational transition.

marsbit2 h fa

Q-Day Countdown: Will Quantum Computing End Cryptocurrencies?

marsbit2 h fa

Trump, the President Who Knows Best How to 'Trade Stocks'

Former US President Donald Trump reported a record-breaking $2.2 billion in personal income for 2025, the highest annual income ever disclosed by a sitting president. This figure, from a 927-page government ethics filing, represented a 3.5-fold increase from his $600 million income in 2024 and boosted his net worth to $6.5 billion. The primary drivers were cryptocurrency (64% of income, approximately $1.4 billion) and real estate (26%, approximately $575 million). His crypto earnings stemmed largely from the launch of his personal meme coin, $TRUMP, generating over $600 million in licensing fees, and substantial profits from the WLFI token and its parent company. Despite a sluggish property market, his Mar-a-Lago resort and associated golf clubs saw revenue surges of 50% and 27%, respectively, attributed to their use as venues for presidential events. Trump's financial disclosure also revealed an unprecedented level of stock market activity, with over 22,000 trades executed in 2025, averaging 87 trades per market day. Media analyses noted several instances where significant trading coincided with major policy announcements, such as proposed tariffs, raising questions about potential conflicts of interest. While the White House stated these trades were handled by a family-managed trust fund and not Trump directly, critics highlighted this as a departure from the blind trusts traditionally used by presidents post-Watergate. The report has intensified debate over the commercialization of the presidency. Supporters view it as a success story of a businessman-president, while critics argue it demonstrates an unprecedented conversion of public influence into private wealth, with policy decisions potentially linked to personal financial gains. The controversy centers on whether Trump's earnings represent innovative entrepreneurship or a fundamental conflict of interest, sparking renewed calls for stricter ethics reforms in US governance.

marsbit2 h fa

Trump, the President Who Knows Best How to 'Trade Stocks'

marsbit2 h fa

Countdown to Q-Day: Will Quantum Computing End Cryptocurrencies?

The article explores the existential threat quantum computing poses to cryptocurrencies and the urgent need for "post-quantum" migration. It outlines that quantum computers, through Shor's algorithm, could break the elliptic-curve cryptography (ECC) underlying blockchain security, potentially allowing private keys to be derived from public keys. The core challenge is not a lack of post-quantum cryptography (PQC) standards—like NIST's ML-KEM and ML-DSA—but the immense complexity of upgrading entire ecosystems before "Q-Day" (when quantum computers become capable of such attacks, estimated around 2035-2045). Key points include: * **Bitcoin's** risk is concentrated in legacy UTXOs with exposed public keys (e.g., early P2PK outputs). Migration faces massive hurdles: PQC signatures are much larger, increasing transaction size and cost, and the governance dilemma of handling un-migrated assets threatens its "code is law" ethos. * **Ethereum's** strategy focuses on "cryptographic agility," using Account Abstraction for user accounts and developing compressed hash-based signatures (like leanXMSS with SNARK aggregation) for consensus. Its migration is a complex, full-stack overhaul of execution, consensus, and data layers. * The "security debt" is enormous. The comfortable engineering window for a coordinated, ecosystem-wide upgrade is only 5-8 years. High-value infrastructure (exchanges, bridges) may face pressure before mainnet protocols. In conclusion, quantum computing is not an instant "doomsday" event but a forcing function for systemic change. Bitcoin's ultimate test is social consensus and property rights governance, while Ethereum's is technical complexity. Failure to migrate in time could lead to a fundamental re-pricing of crypto assets.

链捕手2 h fa

Countdown to Q-Day: Will Quantum Computing End Cryptocurrencies?

链捕手2 h fa

Trading

Spot

Articoli Popolari

Come comprare ZEN

Benvenuto in HTX.com! Abbiamo reso l'acquisto di Horizen (ZEN) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente HorizenZEN.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva Horizen (ZEN)Dopo aver acquistato Horizen (ZEN), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia Horizen (ZEN)Scambia facilmente Horizen (ZEN) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

230 Totale visualizzazioniPubblicato il 2024.12.12Aggiornato il 2026.06.02

Come comprare ZEN

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di ZEN ZEN sono presentate come di seguito.

活动图片