A Robotic Version of MicroStrategy Has Arrived! Can Ordinary People Invest in Giants in the Robotics Sector?

marsbitPublished on 2026-05-21Last updated on 2026-05-21

Abstract

Andrew Kang, a prominent former crypto investor, has shifted his focus to AI and robotics, taking on the role of CEO at RoboStrategy. This publicly traded closed-end fund, inspired by MicroStrategy's capital model, aims to give retail investors access to early-stage robotics investments, a sector traditionally dominated by institutional capital. RoboStrategy recently listed on NASDAQ under the ticker "BOT" and secured a $2 billion equity financing commitment. Kang, co-founder of Mechanism Capital, began investing in robotics two years ago, with a notable early investment in Figure AI. RoboStrategy's portfolio now includes several robotics companies across hardware and software. The fund differentiates itself through permanent capital, a team of industry experts, and strong marketing capabilities. Its core strategy, termed R.I.S.E., involves raising capital when its share price trades at a premium to Net Asset Value (NAV), investing in high-conviction private robotics companies, scaling those investments, and using the resulting NAV growth to attract further capital—creating a potential flywheel effect. However, risks include its current high share price premium over NAV, the subjective valuation and illiquidity of its private holdings, and the inherent volatility of a closed-end fund structure.

Author: Nancy, PANews

Andrew Kang, a star investor once active in the crypto market, is shifting his focus to the AI and robotics sectors. On May 20, Andrew Kang announced his official appointment as CEO of RoboStrategy, responsible for the company's strategic direction and investment portfolio management.

As an innovative fund inspired by the capital model of the crypto DAT company Strategy, RoboStrategy recently officially launched on Nasdaq and secured up to $20 billion in equity financing commitments, quickly drawing market attention.

From Crypto to Robotics, Already Invested in Star Companies Like Figure

RoboStrategy is a public closed-end fund focused on robotics and embodied AI, co-founded by Andrew Kang and Marc Weinstein in 2025. Its goal is to open up early-stage robotics investment opportunities, previously accessible only to a few institutional investors, to a broader base of ordinary investors.

Andrew Kang and Marc Weinstein are also co-founders of the crypto investment firm Mechanism Capital. Since its establishment in 2020, Mechanism Capital has invested in over a hundred crypto projects, including well-known protocols and platforms such as Arbitrum, Pendle, Near, Deribit, and 1inch. However, based on public information, Mechanism Capital has rarely disclosed new crypto investment activities since October 2025. Andrew Kang recently admitted that he has not been closely following the crypto market for the past few months.

In contrast, he has been dedicating more effort to the robotics field. According to Andrew Kang, he began researching the robotics industry two years ago, but at that time, most VCs advised against entering this sector. In the market environment back then, robotics companies generally faced fundraising difficulties. The industry lacked mature, large-scale success stories, and there were many doubts from the outside world regarding their commercialization paths, technology implementation capabilities, and potential market size.

In his view, however, the acceleration of embodied AI development will completely transform the entire industry. Humanoid robots are one of the few directions with the potential to go "from zero to a multi-trillion dollar market," similar to the developmental stage of Bitcoin in 2013, but with a larger long-term market space. Particularly as manufacturing, logistics, and service industries continue to face labor shortages, embodied AI and robotics technologies are accelerating their entry into real industrial scenarios.

Therefore, in February 2024, Andrew Kang completed his first significant investment in robotics, investing $19 million in Figure AI. Today, Figure AI has become one of the world's highest-valued humanoid robotics companies, with a latest valuation of $39 billion, compared to its pre-money valuation of approximately $2 billion in February 2024. (Related reading:The Entrepreneur from the Farm: After Building Flying Cars, Gambles on a $39 Billion Giant in the Robotics Sector)

However, Andrew Kang also realized that the future development of the robotics industry will heavily rely on massive long-term capital, which is difficult to sustain through individuals or traditional funds alone. Meanwhile, robotics startups also need a long-term capital platform that truly understands industry demands to help them secure continuous financing, industrial resources, and market recognition support. More importantly, current robotics innovation is mainly concentrated in the private market, making it difficult for most ordinary investors to participate.

Based on this, Andrew Kang co-founded RoboStrategy. Currently, RoboStrategy has invested in robotics companies including Figure AI, Apptronik, Dyna Robotics, Dexmate, Standard Bots, and Path Robotics, covering multiple areas from hardware and infrastructure to software, with an average investment size per round of approximately $7 million.

In Andrew Kang's view, compared to traditional VCs, RoboStrategy possesses several differentiated advantages. First, as a closed-end fund, its capital is permanent, free from the fund term limitations of traditional VCs, allowing it to adopt an extremely long-term perspective in deploying in the robotics and embodied AI industry. Second, the team brings together multiple seasoned professionals from the robotics industry, including long-time founders or operators, making it regarded by many startups as one of the "most professional and knowledgeable investment institutions in the robotics industry." Additionally, leveraging the team's strengths in digital marketing and social media, RoboStrategy not only has stronger fund distribution capabilities but is also more adept at expanding market influence and industry awareness, thereby helping its portfolio companies gain more attention, talent, and resources.

Launched on Nasdaq, Attempting to Replicate the Strategy Capital Flywheel

As the first closed-end fund specifically designed for public market investors, RoboStrategy officially began trading on Nasdaq on May 11, under the ticker symbol "BOT." As of now, the BOT stock price is around $28.2, having declined approximately 21.58% since listing.

Public information shows that RoboStrategy board member Jason Zhao purchased 400,000 shares of the company at $10 per share in October last year; subsequently, Andrew Kang also purchased 246,000 shares at the same price. Meanwhile, the investment advisory firm FP Strategies LLC continued to increase its holdings by 290,000 shares at $10 per share in April this year, currently holding a cumulative total of approximately 390,000 shares.

In terms of capital operation logic, RoboStrategy draws inspiration from Strategy's Bitcoin treasury model. The latter continuously issues stocks and convertible bonds in the public capital market to obtain low-cost funds for consistently increasing its Bitcoin holdings, leveraging stock price premiums to form a capital flywheel. This model has been emulated by numerous companies.

RoboStrategy attempts to replicate this logic in the robotics sector. The fund's core idea is to use three main financing instruments—CEF, PIPE, and ATM—to continuously raise funds when the fund's stock price trades at a premium relative to its Net Asset Value (NAV), then deploy that capital into high-growth private robotics and embodied AI companies, thereby constructing the R.I.S.E capital compound interest flywheel.

The so-called R.I.S.E represents four stages:

· Raise: Issue shares at a premium when the market price is above NAV to obtain more cash.

· Invest: Through deep due diligence, allocate funds to high-conviction robotics projects.

· Scale: Portfolio companies use the new capital to accelerate expansion, driving fund NAV growth.

· Expand: As NAV increases and industry enthusiasm rises, further attract investors and new capital, expanding the fund's scale and influence.

This model essentially utilizes the dual pricing mechanism of closed-end funds (market price vs. net asset value), aiming to achieve compound growth in NAV per share over the long term, while replacing the multi-layered fee structure of traditional private equity funds with a single public fund structure.

Earlier this month, RoboStrategy signed a $20 billion Committed Equity Financing (CEF) agreement with Roth Principal Investments, a subsidiary of Roth Capital Partners, to support its strategic growth plans.

However, just as most crypto DAT companies' treasury stories are difficult to sustain, RoboStrategy also faces risks that cannot be ignored.

As of March 31, 2026, RoboStrategy's NAV was approximately $7.31 per share, with total net assets around $145.5 million. Based on the current stock price, the market's valuation premium for it is close to 3 times. But a high premium does not mean discount risk will not materialize. Meanwhile, since the fund's investment targets are mostly unlisted robotics companies, their asset valuations themselves are highly subjective and have limited liquidity. Exit paths heavily rely on IPO or M&A markets. Once the capital environment cools down, these assets may face valuation adjustment pressure.

Furthermore, the closed-end fund structure means investors cannot redeem shares at any time like with open-end funds; they can only trade on the secondary market. Therefore, price volatility is often amplified.

Whether RoboStrategy can sustain its high premium and market enthusiasm in the long term remains to be verified by the market.

Related Questions

QWhat is RoboStrategy, and what is its primary goal?

ARoboStrategy is a publicly traded, closed-end fund focused on robotics and embodied AI. Its primary goal is to open up early-stage investment opportunities in the robotics sector, traditionally available only to institutional investors, to the broader public market.

QWho founded RoboStrategy, and what is Andrew Kang's background?

ARoboStrategy was co-founded by Andrew Kang and Marc Weinstein in 2025. Andrew Kang is a former star investor in the crypto market and a co-founder of the crypto investment firm Mechanism Capital. He has now shifted his focus to the AI and robotics sector and serves as the CEO of RoboStrategy.

QHow is RoboStrategy's capital model inspired by MicroStrategy?

ARoboStrategy's capital model is inspired by MicroStrategy's Bitcoin treasury strategy. It aims to create a capital flywheel by issuing shares at a premium when its market price exceeds its Net Asset Value (NAV). The raised capital is then invested in high-growth private robotics companies, aiming to increase the fund's NAV and attract more capital, similar to MicroStrategy's approach with Bitcoin.

QWhat does the R.I.S.E. strategy stand for in the context of RoboStrategy?

AR.I.S.E. is RoboStrategy's four-stage capital strategy: Raise (issuing shares at a premium), Invest (allocating capital to high-conviction robotics projects), Scale (helping portfolio companies grow to increase NAV), and Expand (attracting more investors and capital as NAV and industry interest rise).

QWhat are some key risks associated with investing in RoboStrategy?

AKey risks include: 1) Potential discount to NAV if market sentiment cools. 2) Subjective and illiquid valuations of its private company investments. 3) High dependence on favorable IPO or M&A markets for exits. 4) Price volatility amplified by its closed-end fund structure, which prevents direct redemptions, forcing trades on the secondary market.

Related Reads

How to Define "Real U.S. Stocks": Differences Between On-Chain Tokens, Price Contracts, and Direct Broker Connections

**Title:** Defining "Real US Stocks": Differences Among On-Chain Tokens, Price Contracts, and Broker-Direct Access **Summary:** In 2026, using stablecoins to purchase US stocks is mainstream, but products marketed as "buying US stocks with USDT" offer fundamentally different assets. This article analyzes three primary models. **1. Tokenized Stocks:** These are on-chain tokens representing economic exposure to underlying stocks, held by an issuer or custodian. They offer benefits like 24/7 trading and DeFi composability (e.g., use as loan collateral). However, users lack direct legal shareholder status; dividends may not be paid in cash, and voting rights are typically non-binding advisory expressions. Examples include platforms like Ondo Finance. **2. Stock Futures / Equity Perpetuals:** These are derivative contracts tracking a stock's price, allowing leveraged long/short positions 24/7, similar to crypto perpetuals. They offer high efficiency and flexibility but involve funding fees, which can be a significant long-term cost, especially during strong trends. Crucially, they confer no ownership rights (dividends, voting) to the holder. **3. Broker-Direct Model:** This model provides access to real securities via licensed broker-dealers. Stocks/ETFs are bought and held within the US clearing and custodial system (e.g., DTCC), making it the only path to genuine stock ownership. Users receive cash dividends and formal proxy voting rights (where applicable). It supports thousands of stocks and ETFs, far exceeding the coverage of the other two models. Key advantages include no funding fees, a clean cost structure for long-term holds, and the potential to transfer holdings to other brokers. Some platforms facilitate stablecoin (USDT/USDC) deposits, reducing reliance on traditional banking. A critical distinction exists *within* the broker-direct model: the underlying brokerage architecture (e.g., Fully Disclosed IB, Omnibus IB, Self-Clearing) determines how client assets are held, protected, and how safeguards like SIPC insurance are conveyed. Users should verify the specific clearing structure and regulatory compliance of any platform. In conclusion, "buying US stocks with USDT" can mean holding an on-chain economic proxy (Tokenized Stocks), trading a price derivative (Stock Futures), or owning the actual security (Broker-Direct). For users seeking full ownership rights and long-term investment, the broker-direct model is the definitive choice, though its implementation details require careful scrutiny.

marsbit51m ago

How to Define "Real U.S. Stocks": Differences Between On-Chain Tokens, Price Contracts, and Direct Broker Connections

marsbit51m ago

NVIDIA Launches DSX Platform, Expanding into AI Factory Infrastructure

NVIDIA has unveiled the DSX platform at its GTC Taipei event, marking a strategic expansion from GPU sales into comprehensive AI factory infrastructure solutions. The platform addresses challenges like power supply, cooling, and resource orchestration as AI models scale, shifting the industry focus from single-chip performance to overall infrastructure efficiency. DSX integrates NVIDIA's chips, systems, software, and partner technologies to cover the entire AI factory lifecycle—from design and simulation to deployment and operations. It aims to accelerate deployment, improve reliability and operational efficiency, and reduce the cost per generated token in AI inference. The software suite includes DSX MaxLPS, which uses 45°C liquid cooling and rack-level optimization to allow up to 40% more GPUs per megawatt, and DSX OS, an open-source platform for AI factory operations. The platform also encompasses reference designs, digital twin simulation (DSX Sim), dynamic workload adjustment based on grid conditions (DSX Flex), and data exchange between systems. Early adopters include cloud providers like CoreWeave and Lambda. Major hardware partners, including Dell, HPE, Lenovo, and Supermicro, are developing DSX-ready systems. Pilot projects for DSX Flex are underway with energy providers. Strategically, DSX represents NVIDIA's ongoing transition from an AI chip supplier to a full-stack AI infrastructure platform provider, aiming to set industry standards and solidify its market leadership.

marsbit57m ago

NVIDIA Launches DSX Platform, Expanding into AI Factory Infrastructure

marsbit57m ago

After Burning Tens of Billions of Dollars in Tokens, Silicon Valley Giants Start Limiting Employee Token Usage

After burning tens of billions of dollars on AI tokens, major Silicon Valley firms are now restricting employee usage. Companies like Microsoft, Uber, and Salesforce, which heavily promoted AI for "efficiency," are facing a cost crisis. The practice of "tokenmaxxing"—pushing employees to maximize AI tool usage—led to wasteful spending on trivial tasks like checking the weather or writing birthday messages, with studies showing significant hidden costs for bug fixes and code rewrites. The core issue is a misalignment between individual productivity gains and actual business value. While employees use AI to automate tasks they dislike, such as writing reports, this often doesn't translate to increased company revenue or improved core business outcomes. For instance, AI-generated code speeds up development but also sees an 800% increase in "code churn" (code being discarded or rewritten). As a result, only 14% of CFOs report seeing a clear, measurable return on AI investments. Firms are now shifting strategies. Microsoft has revoked most internal licenses for Claude Code, while others are implementing monitoring and cost controls. New tools from companies like Harness and CloudZero aim to track AI spending and tie costs to business results. Some AI vendors, like HubSpot, are moving from token-based pricing to charging based on outcomes, such as "resolved conversations" or "leads generated." This represents a necessary correction in the AI adoption cycle. The challenge now is for companies to move beyond using AI merely to speed up old tasks and instead rethink their workflows and business models fundamentally. The future of enterprise AI depends on proving its value, not just its usage.

marsbit1h ago

After Burning Tens of Billions of Dollars in Tokens, Silicon Valley Giants Start Limiting Employee Token Usage

marsbit1h ago

Trading

Spot
Futures

Hot Articles

How to Buy PEOPLE

Welcome to HTX.com! We've made purchasing ConstitutionDAO (PEOPLE) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy ConstitutionDAO (PEOPLE) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your ConstitutionDAO (PEOPLE)After purchasing your ConstitutionDAO (PEOPLE), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade ConstitutionDAO (PEOPLE)Easily trade ConstitutionDAO (PEOPLE) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

6.9k Total ViewsPublished 2024.03.29Updated 2025.03.21

How to Buy PEOPLE

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of PEOPLE (PEOPLE) are presented below.

活动图片