The humanoid robot revolution is happening, but not in the way most investors expected. While Tesla's Optimus and other marquee robot programs grab headlines, the real money in 2026 is flowing to the companies that make the joints, sensors, and chips that power these machines, regardless of which brand ultimately wins the consumer race.

Two competing investment funds tracking the humanoid robotics theme tell the story. The Roundhill Humanoid Robotics ETF (HUMN) concentrates on the famous names: Tesla at 8.93% of its portfolio and UBTech Robotics at 6.42%. But a newer fund, KraneShares Global Humanoid Robotics and Physical AI Index ETF (KOID), has pulled roughly 30 percentage points ahead in 2026 performance by taking a different approach. KOID finished the year up 41.8% through August 25, while HUMN gained only 11.0%.

The difference comes down to portfolio construction and a fundamental disagreement about where the real value lies. HUMN's concentrated bet on Tesla and UBTech means the fund's fate hinges on those two companies. When they stumbled in July, HUMN gave back roughly 26% in a single month. KOID, by contrast, spreads its bets across the entire supply chain.

What Are Investors Actually Betting On When They Buy Robot Stocks?

KOID tracks an equal-weighted index of companies providing the enabling technologies that every humanoid program must purchase. These include sensors, actuators, motion-control chips, harmonic reducers, ball screws, and inference silicon. Because the fund weights all positions equally, no single stumble in a marquee name like Tesla Optimus can derail the entire portfolio. The top 10 positions represent only 23.44% of assets, compared to HUMN's top two positions at nearly 15%.

This structural difference proved decisive during the market volatility of mid-2026. While HUMN absorbed the same July downturn that hit Tesla and UBTech, KOID held a 23.15% one-year gain through August 25 because its diversified supply-chain exposure cushioned the blow.

"The physical AI fund is a diluted humanoid bet by design. Its equal weighting pulls in factory-automation and physical-AI names that would benefit even if humanoid programs stall out, which is a feature for most investors but a limitation for anyone wanting direct leverage to Tesla's Optimus or UBTech's Walker programs," according to analysis of the fund structures.

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The cost structure also favors KOID. Its expense ratio sits at 0.69% net as of July 31, 2026, while HUMN's fee structure may differ. However, the performance driver is portfolio construction, not fees.

How to Evaluate Humanoid Robot Investments for Your Portfolio

• Assess Your Risk Tolerance: If you believe Tesla Optimus or UBTech's Walker will dominate the market, HUMN's concentrated exposure provides direct leverage to those bets. If you prefer diversification across the supply chain, KOID spreads risk across companies that benefit regardless of which brand wins.
• Consider Tax Implications: In tax-advantaged accounts like IRAs, switching between funds creates no taxable event. In taxable accounts, investors who bought HUMN near its 52-week low of $29.17 have modest embedded gains and can move without friction, while those who bought near the $38.17 high are sitting on losses that could be harvested for tax purposes.
• Evaluate Liquidity and Fund Size: HUMN holds $994.03 million in assets and offers greater liquidity than KOID, which carries new-fund risk with potentially wider bid-ask spreads and greater net asset value premium or discount risk.

Why the Humanoid Robot Supply Chain Is Becoming Its Own Market

The divergence between HUMN and KOID reflects a broader shift in how the robotics industry is developing. Companies like LG Electronics are partnering with Nvidia to generate 100,000 hours of training data by the end of 2026, combining real-world manufacturing and logistics data with synthetic datasets. LG's CLOiD robots use a wheeled base rather than bipedal legs, demonstrating that multiple form factors are emerging simultaneously.

Meanwhile, companies like Formic are expanding their footprint to capitalize on the humanoid moment. Formic opened a 13,000-square-foot facility in Oakland on August 19, establishing its first West Coast location and second robot factory and research and development center. The company cited access to engineering talent and proximity to Tesla's Optimus program and Amazon's Project Prometheus as key factors in selecting the Bay Area.

"Oakland offers a rare mix of robotics talent and early adopters of automation in the manufacturing space. We're in good company alongside the new Tesla and Amazon facilities also driving forward progress in physical AI," said Saman Farid, founder and CEO of Formic.

Saman Farid, Founder and CEO at Formic

Formic's business model illustrates why the supply-chain bet is gaining traction. Rather than requiring manufacturers to purchase robotic systems upfront, Formic charges a flat monthly rate covering equipment, deployment, maintenance, parts, software, and ongoing service. This model lowers barriers for smaller and midsize manufacturers and creates recurring revenue streams that benefit suppliers regardless of which humanoid brand ultimately dominates.

The company plans to apply the same service-based model as it expands into humanoid deployments, allowing manufacturers to use more flexible robotic systems without changing the basic commercial structure. Formic's existing deployments also serve as a source of operational data for its proprietary AI models, Cortex and Core, which are used for scoping automation projects and managing real-time operations.

What Does This Mean for the Future of Tesla Optimus?

The performance gap between HUMN and KOID does not signal weakness in Tesla Optimus or other humanoid programs. Rather, it reflects the reality that the supply chain is maturing faster than consumer-facing products. If humanoid unit shipments accelerate and marquee names like Tesla recover, HUMN's concentration could work in reverse, and the gap between the two funds could narrow.

For now, investors whose thesis centers on the buildout of the physical AI supply chain rather than a specific brand winning are finding KOID expresses that view more directly. The year-to-date performance numbers reflect the difference between betting on the robot makers and betting on the companies that make the robots possible.