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DEPW ETF: What Is It? Returns, Expense Ratio, Holdings, and Alternative ETFs Explained

Updated August 20, 2026 · First published August 20, 2026

The DEPW ETF, the Google DeepMind AI Research Lab Ecosystem ETF, is an actively managed product that concentrates on companies in the artificial intelligence ecosystem connected to Google DeepMind. The key points to check are the outlook for the AI theme, the competitive landscape of related companies, the absence of a distribution history, and the cost structure.

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What Is the Google DeepMind AI Research Lab Ecosystem ETF?

This is an actively managed ETF designed to provide exposure to companies directly connected to the Google DeepMind AI ecosystem. Rather than mechanically replicating a specific index, it builds its portfolio by judging how closely each company is linked to the ecosystem.

It suits investors who would rather gauge the equity risk of the AI ecosystem tied to Google DeepMind through a single product than pick individual companies.

The ETF is actively managed by Harbor Capital.

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How Does the Google DeepMind AI Research Lab Ecosystem ETF Invest?

ItemDetails
Tracked indexNot applicable
Management styleActive selection of ecosystem-linked companies
Rebalancing frequencyAdjusted at the manager's discretion
Distribution frequencyNo distribution history
Total expense ratio0.59%

Harbor Capital draws on qualitative and quantitative signals to review companies as portfolio candidates based on their ecosystem connections, such as AI infrastructure, software, and technology partnership networks. The core of the product lies in examining the paths through which Google DeepMind's research achievements can create economic value.

  • Focus on the linkages within a specific AI ecosystem
  • Combined use of qualitative and quantitative signals
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Google DeepMind AI Research Lab Ecosystem ETF Size and Costs (AUM and Management Fee)

Assets under management (AUM) stand at $1.9M, and the total expense ratio is 0.59% per year.

Because the fund's track record and trading environment are still being built up, trading convenience and cost burden should be checked together through future disclosure materials.

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Google DeepMind AI Research Lab Ecosystem ETF Performance and Trends

1-Year Price Performance
Dividend & Yield
No dividend or yield data available
52-Week Price Range
$21
Low $21 High $27
vs. low +-0.43% vs. high -21.24%

Because its return history has not yet accumulated sufficiently, short-term price moves can react sensitively to earnings expectations of ecosystem-related companies, technological change, regulatory debates, and shifts in market risk appetite. Rather than generalizing past movements into long-term performance, investors should also examine the causes of the volatility.

As market participants' understanding and the trading environment settle in, fund flows into new thematic products can swing between inflows and outflows. Changes in perception of the AI ecosystem's competitive landscape and of partnerships among companies could affect interest in this product and its trading conditions.

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Google DeepMind AI Research Lab Ecosystem ETF Strengths and Weaknesses

The approach of concentrating on the Google DeepMind ecosystem is a differentiator, but dependence on a specific theme and its linked companies can become a risk factor.

💪 Key Strengths

Ecosystem-centered approach
It offers a way to look at companies connected to Google DeepMind within a single product.
Multi-layered exploration of linkages
The strategy examines connections that extend from infrastructure and software to technology partnership networks.
Use of manager judgment
It evaluates portfolio candidates by referring to both qualitative and quantitative signals.

⚠️ Points to Watch

Thematic concentration risk
Performance can be heavily influenced by the growth and adoption trends of a specific AI ecosystem.
Technological change risk
Technological change and shifts in the competitive landscape can affect the business prospects and market value of related companies.
Reliance on model information
External data and the management model may have limits in accuracy, timeliness, and effectiveness.
Foreign asset risk
When holding assets listed overseas, differences in currency, policy, regulation, and market environment can increase volatility.
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Google DeepMind AI Research Lab Ecosystem ETF Alternative ETFs and Related Products

Because comparison data for listed funds in a similar category is limited, it is difficult to treat other products as equivalent simply because they share the AI theme label. This product examines companies centered on their connection to the Google DeepMind ecosystem, so when comparing, investors should check whether the investment objective, the degree of concentration on a specific company's ecosystem, the manager's decision-making approach, trading conditions, and cost structure match the exposure they want.

Peer Comparison ETFs
TickerNamePriceChangeAUMTotal Expense RatioDividend Yield1Y
DYNFDYNFiShares U.S. Equity Factor Rotation Active ETF$67.98-0.6%$42.2B0.26%0.83%+14.5%
AVUVAVUVAvantis U.S. Small Cap Value ETF$122.06-0.0%$32.1B0.25%1.24%+23.0%
FNDXFNDXSchwab Fundamental U.S. Large Company ETF$32.60-0.6%$28.5B0.25%1.45%+22.7%
USMVUSMViShares MSCI USA Min Vol Factor ETF$102.95-0.5%$24.3B0.15%1.37%+9.0%
SPMOSPMOInvesco S&P 500 Momentum ETF$138.66-0.1%$21.5B0.13%0.79%+15.2%
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Google DeepMind AI Research Lab Ecosystem ETF Investor Checkpoints

Before investing, you should check by what criteria the fund interprets linkage to the Google DeepMind ecosystem and whether that approach fits your investment goals. With new thematic products, it is important to read the holdings structure and risk disclosures together rather than judging diversification benefits by the name alone.

CheckpointWhat to CheckCurrent Status
Investment objectiveConfirm what exposure to Google DeepMind ecosystem-linked companies meansNeeds confirmation
Cost structureCheck the total expense ratio and costs that may arise during tradingCheck disclosures
Distribution policyCheck whether the lack of a distribution history suits your cash flow expectationsNo distribution history
Concentration riskReview dependence on a specific ecosystem and related companiesConcentration risk present

The value of this product can be affected by the adoption of and competition in AI technology, regulation, supply chain conditions, cybersecurity incidents, and shifts in investor sentiment. It may also be concentrated in specific companies or a limited network of linkages, so it can show volatility different from products that broadly cover the overall market.

The Google DeepMind AI Research Lab Ecosystem ETF is an actively managed product for investors interested in the ripple effects of a specific AI ecosystem. However, because its track record and comparison data may be limited, it is advisable to check the thematic concentration risk, the absence of a distribution history, and the cost structure, and then review the product in light of your own investment horizon and risk tolerance.

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Disclaimer: This content is for informational purposes only and does not constitute investment advice. All investment responsibility lies with the investor.

This article reflects information as of August 20, 2026.

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