Our outlook on Ai Automation Services is shifting rapidly. Historically, investors focused on digital protocols. Today, attention is pivoting to humanoid robotics. Andrew Kang, co-founder of Mechanism Capital and CEO of RoboStrategy, represents this transition. For years, Andrew was deeply embedded in crypto. However, his view of the digital asset landscape began changing in late 2022. He noticed that many assets felt detached from real-world utility. This shift marked the birth of a new era.
From Altcoin Fatigue to Real-World Physical Value
Andrew Kang became increasingly pessimistic about altcoins starting in 2022. He still recognized the fundamental value of Bitcoin, stablecoins, and certain non-fungible tokens. However, much of the altcoin market began to feel self-referential. Many projects operated in closed loops, where value existed purely inside rather than anchoring back to tangible economic activity. For investors seeking true impact, the category felt fuzzy.
Many developers were building a Web3 Development Company to capture digital premiums. Others focused on launching an Nft Game Development Company. Yet, Andrew saw that the real world still needed physical answers. He recognized how a Cryptocurrency Reshape Global Economy narrative could only go so far without physical integration. He turned his attention to a rapidly advancing frontier: artificial intelligence and physical automation.
The Rise of Physical AI and the RoboStrategy Vision
At the same time, AI was becoming obviously important. ChatGPT changed how society viewed software and intelligence. It was clear that AI would expand far beyond simple chatbots. While many built Ai Powered Chatbots, Andrew wanted a tangible physical application. He found it in Figure AI.
To bridge this gap, Andrew co-founded RoboStrategy. Listed on the Nasdaq under the ticker “BOT” in May 2026, RoboStrategy gives public markets liquid exposure to private robotics leaders. Some compare RoboStrategy to MicroStrategy. MicroStrategy proved a public vehicle could issue shares at NAV premiums to acquire core assets. RoboStrategy applies a similar capital markets flywheel.
However, Andrew views it as a SoftBank-style vehicle for concentrated, asymmetric venture bets. Instead of managing a standard Blockchain Development Company or a complex Dapp Development Decentralized Ecosystem, RoboStrategy focuses on physical hardware and AI-native automation. Its portfolio includes industry-defining companies like Figure AI, Apptronik, Dyna Robotics, Dexmate, and Standard Bots.
How Ai Automation Services Turn Physical Labor into a Scalable Product
Andrew’s core thesis is simple: humanoids turn physical labor into a scalable product. Much of our global economy depends on physical movement. We rely on lifting, sorting, carrying, assembling, and manipulating objects. Software revolutionized cognitive work. Now, robotics is poised to change physical work.
This shift unlocks incredible commercial potential. When physical labor becomes a software-driven product, labor shortages can be systematically solved. Companies can optimize operations using Ai In Business Planning Advantages that translate directly into physical output. A humanoid robot is not just a machine. It represents a brand-new labor layer. If the technology works, the addressable market is practically limitless, dwarfing most software verticals combined.
The Non-Consensus Bet: Inside the Figure AI Investment
Andrew’s investment in Figure AI did not start as a giant conviction bet. It grew quickly as his research progressed. He began with a few hundred thousand dollars. As he studied the opportunity, his conviction surged. Within a single week, he scaled his investment to millions, eventually deploying a historic $19 million pre-markup bet.
During his due diligence, Andrew actively sought reasons not to make the trade. He consulted top robotics experts, investors who passed on the deal, and industry insiders. The skeptical arguments failed to satisfy him. He realized that most skeptics were anchored to past limitations. They failed to appreciate how fast the development curve in robotics was changing. True investor alpha lives in seeing changes in this curve before the rest of the market prices it in.
Instead of funding a Some Known Facts Defi Yield Farming protocol, Andrew chose to back a physical revolution. He saw an exponential development curve. His conviction paid off as Figure AI successfully progressed from pilot testing to wide-scale deployments.
Valuation as Art and Science: The Apple vs. Nokia Parallel
When critics asked whether Figure’s valuation was too high compared to hardware-only competitors like Unitree, Andrew pointed out that revenue alone is a deceptive metric. In frontier tech, some companies might sell more units today. However, that does not guarantee long-term market dominance. Andrew compared the robotics landscape to the mobile phone industry in the 2000s.
Nokia sold millions of phones before Apple entered. Yet, Apple created a completely different, premium, ecosystem-driven product. They captured the majority of the profits and expanded the entire market. The same applies to humanoid robots. One manufacturer might sell simple functional hardware. Another, like Figure, is building a premium robot. This involves stronger AI, superior design, better margins, and a superior user experience.
In contrast to traditional software businesses where investors rely on Understanding Ai Saas Platforms to gauge recurring software margins, hardware-enabled AI requires a different framework. Valuation is partly science, and partly human judgment. It requires understanding how a Prototype Model Software Innovation translates into real-world manufacturing scale.
Why the Team Matters More Than the Demo
Public demos are exciting, but Andrew’s early conviction came from Figure’s team. Building humanoids requires a rare intersection of highly specialized skills. A winning team must master mechanical design, custom actuators, high-density battery packs, complex robotic hand engineering, AI-native model development, fleet management, and global supply chains.
Very few teams in the world can execute even one of these components successfully. Even fewer can put them all together. A humanoid robotics company is vastly different from a typical software startup. It cannot simply scale on cloud infrastructure. It must build, manufacture, test, and distribute physical machines that are safe and reliable.
Andrew recognized that Figure’s founder, Brett Adcock, and his team possessed the rare execution speed needed to achieve this. Rather than focusing on a digital How To Build A Multichain Crypto Wallet or developing isolated Layer 1 Blockchain Solutions, the Figure team built a full-stack physical AI powerhouse.
Democratizing Access: The Public Venture Revolution
Historically, the world’s most transformative venture-backed companies remained private for years. The average investor was locked out. Public venture funds like RoboStrategy (NASDAQ: BOT) completely disrupt this exclusive paradigm.
By listing on a public exchange like NASDAQ, RoboStrategy allows everyday investors to get exposure to private physical AI and robotics giants before traditional IPOs occur. This model is undeniably new and will face regulatory and market pushback. Its success relies entirely on smart capital allocation and disciplined portfolio construction.
However, if physical AI and robotics indeed become the largest markets in the world, public vehicles like RoboStrategy offer unprecedented access. Investors no longer need to be Silicon Valley insiders to participate in the biggest technological shift of our generation. They can back the future of global labor, powered by advanced machines, right from their public brokerage accounts. We are moving past the era of pure digital speculation. The physical AI revolution is here, and it is turning real-world labor into the ultimate investable product.