ARKQ: ARK Autonomous Technology & Robotics ETF

Actively managed fund investing in companies its managers identify as benefiting from automation, autonomous technology, robotics, and related advancements. Managed by ARK Investment Management with a 0.75% expense ratio. 9 of its top 10 holdings are in the Supercycle AI universe, and those holdings carry an average AI Exposure Score of 57 (Strategic tier).

Holdings and expense ratio per the issuer, as of . Funds rebalance; verify current holdings with ARK Investment Management. Not investment advice.

Top holdings, scored

ARKQ top holdings with AI Exposure Scores and buildout layers
#HoldingMarket capAI scoreBuildout layers
1TSLATesla$1.09T60Autonomous VehiclesRobotics & Automation
2SPCXSpaceX (Space Exploration Technologies)$2.01T35Defense & Aerospace AIFoundation Models
3KTOSKratos Defense & Security$8.90B45Defense & Aerospace AIAutonomous Vehicles
4TERTeradyne$15.80B45Chip Equipment & FoundriesRobotics & Automation
5AMDAdvanced Micro Devices$913.89B75SemiconductorsCloud & Hyperscalers
6GOOGAlphabet(untracked)---
7PLTRPalantir Technologies$426.88B85AI Software & PlatformsDefense & Aerospace AIAI Applications
8RKLBRocket Lab$41.29B12Autonomous VehiclesDefense & Aerospace AI
9AMZNAmazon$2.74T58Cloud & HyperscalersAI Software & PlatformsRobotics & Automation
10NVDANVIDIA$5.37T97SemiconductorsCloud & HyperscalersAutonomous Vehicles

Market data as of the close on . Prices are end of day, not live.

Where it sits in the buildout

ARKQ's tracked top holdings concentrate in these layers:

Frequently asked questions

What are ARKQ's top holdings?

As of 2026-08-11, ARKQ's top 10 holdings are TSLA, SPCX, KTOS, TER, AMD, GOOG, PLTR, RKLB, AMZN, NVDA. Holdings change as the fund rebalances; the issuer's site has the current full list.

Is ARKQ a good way to get AI exposure?

That depends on the exposure wanted, which is a personal decision, but the data says this: 9 of ARKQ's top 10 holdings are in the Supercycle AI universe (TSLA, SPCX, KTOS, TER, AMD, PLTR, RKLB, AMZN, NVDA), with an average AI Exposure Score of 57 (Strategic tier). Its expense ratio is 0.75% per year.

Other AI ETFs

Funds versus picking layers is covered in the Start Here guide; all AI ETFs are compared on the AI ETFs page.