Performance data is updated to 31 May 2026.
Global X Humanoid Robotics ETF (HMND) — Review & Analysis
HMND is Australia's first dedicated humanoid robotics ETF, with $3 million in assets as at May 2026. Global X launched HMND on 30 March 2026 to capture investor interest in the humanoid robotics theme — which has accelerated since Tesla unveiled the Optimus humanoid in 2022 and Chinese manufacturers like Unitree and Xpeng began commercial deployment. The management fee is 0.57% per annum — standard for narrow thematic exposure. HMND is the only ASX-listed ETF dedicated specifically to the humanoid robotics theme — broader robotics funds ROBO and RBTZ cover industrial automation more generally.
To compare HMND side-by-side with every other ETF on the ASX, see the full ETF directory.
HMND's portfolio holds approximately 30-40 companies across the humanoid robotics value chain. Top holdings as at May 2026 are expected to include Tesla Optimus suppliers (Allegro MicroSystems, Spectra7 Microsystems, Ams-Osram), Boston Dynamics-linked companies, Chinese robotics manufacturers (Unitree partners, Estun Automation), sensor and actuator manufacturers, and AI-software companies enabling humanoid intelligence. Geographic exposure is split between the US (~50%), Japan (~25%), China (~15%) and other markets. Too new for return data.
HMND pays distributions annually (late June) at minimal yield — most underlying holdings are growth-stage companies reinvesting earnings. HMND is currency-unhedged. The humanoid robotics theme is multi-decade and speculative — if mass commercial deployment of humanoids in factories, warehouses and homes materialises through the late 2020s, HMND will likely deliver exceptional returns. If the technology stalls (which has happened before with consumer robotics), HMND will mark down significantly.
HMND is a high-conviction speculative satellite — appropriate in a growth-oriented portfolio. The thesis is genuinely new (first commercial humanoid deployments are happening now, not in some abstract future) but the timing of mass adoption is uncertain. For broader exposure to physical-AI themes, ROBO, RBTZ and GXAI are more diversified options.
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Last updated: January 2026


