It is an actively managed ETF that selects companies that have adopted or shown an intention to adopt artificial intelligence technology in their businesses. It uses a bottom-up stock selection approach combining the management team's fundamental and quantitative analysis and is operated under a non-diversified structure.

It is well suited for investors who want concentrated exposure to the AI theme while preferring active stock selection by the management team over index tracking.

It is an actively managed ETF operated by TCW (TCW Asset Management Company).

A significant portion of net assets is invested in companies that use or have shown a willingness to use artificial intelligence. The management team uses a bottom-up approach to select companies it determines have the potential for AI to deliver meaningful improvements to financials, drawing on annual reports, regulatory filings, and proprietary due diligence, and performance is benchmarked against the S&P 500 and the Russell 3000 Growth Index.

• Active stock selection by the management team, rather than index tracking
• Selection based on proprietary due diligence on AI utilization

Assets under management (AUM) stand at $128.3M, and the total expense ratio is 0.75% annually.

Unlike passive AI ETFs that simply track an index, manager discretion is directly reflected in performance, and the expense ratio tends to be higher accordingly compared with passive products.

Return volatility tends to be high depending on expectations and investor sentiment across the broader AI theme, and the fund tends to react sensitively to technology-stock flows and the interest rate environment. Due to its active management characteristics, performance may diverge from peer thematic ETFs depending on stock selection outcomes.

When market interest in AI is high, flows tend to move into thematic ETFs, while in phases when expectations weaken, volatility can expand. Because of its active, non-diversified structure, changes in individual stock weights have a relatively large impact on overall fund flows.

Active AI stock selection by the management team is a strength, but a higher expense ratio compared with passive products and volatility from thematic concentration are drawbacks.

The comparison table also displays other thematic ETFs with different investment universes and fee structures, such as PAVE and IFRA for infrastructure investing, UFO for the space and aerospace theme, and MILN for millennial consumer spending. These are separate thematic products with different underlying exposures and expense structures from an AI-focused strategy. Options closer to the same AI and robotics basket include AIQ, which invests in artificial intelligence and big data, BOTZ and ROBT, which offer exposure to robotics and AI, and IGPT and CHAT, which focus on generative AI. Most of these are passive products that track an index, so they differ from AIFD, where manager selection is the core, in both management approach and expense ratio.

These are the points to review before investing in AIFD. Because it is an active AI thematic ETF, it is advisable to sufficiently examine in advance the management approach, expense level, degree of thematic concentration, and volatility, and to check whether these align with your own investment profile.

Due to the AI theme concentration and the non-diversified structure, short-term volatility tends to be high, and as is characteristic of active management, stock selection outcomes drive performance. Losses can widen in phases when thematic sentiment weakens.

It is a suitable choice for investors who want to access the AI growth theme through active manager selection. For those seeking a lower expense ratio and index-based exposure, we recommend also comparing passive AI ETFs such as AIQ and BOTZ.