Alger AI Enablers & Adopters ETF (ALAI)

The Alger AI Enablers & Adopters ETF (ALAI) is a thematic exchange-traded fund that selects companies likely to profit from the advancement and deployment of artificial intelligence. The fund casts a wide net across the AI ecosystem—chip makers and cloud-platform operators who build AI infrastructure, software companies who incorporate AI into their products, and traditional businesses racing to adopt AI to improve operations and customer experience.

“The AI opportunity is not a single company or a single sector; it is the wave rolling through the entire economy.”

The dual-lens approach

ALAI’s name encapsulates its strategy: it tracks both enablers of AI (companies building the foundational infrastructure and tools) and adopters of AI (companies implementing AI to transform their business). This dual-lens approach recognizes that the economic value from AI creation flows in two directions. Some companies—semiconductor makers, cloud providers, machine-learning software platforms—profit from selling the capability to others. Others—financial services firms, manufacturers, retailers, healthcare providers—profit from using AI to cut costs, improve products, or discover new revenue streams.

The fund is index-based, meaning it follows a predetermined selection methodology (usually a proprietary index maintained by an indexing partner) rather than relying on portfolio managers to pick stocks. The index methodology defines what counts as an enabler or adopter, which companies qualify, and how they are weighted.

Who the fund owns

Alger AI Enablers & Adopters typically includes companies across multiple sectors. The enablers segment holds semiconductor manufacturers who design chips for AI workloads, cloud-computing providers whose data centers run AI models, and AI-focused software and platform companies. The adopters segment captures businesses in technology, healthcare, industrials, financial services, consumer goods, and other sectors that are actively developing or deploying AI capabilities. The exact composition depends on the underlying index methodology and changes as companies’ AI exposure shifts and the index provider rebalances.

This breadth creates both opportunity and complexity. A single dramatic AI development—a breakthrough in a particular technique, a new commercial application proving suddenly viable, a regulatory shift—could benefit or harm different segments of the portfolio in opposite directions. An advance in chip efficiency might increase competition and compress margins for semiconductor makers even as it accelerates AI adoption among their customers.

Structure and costs

ALAI operates as a standard transparent index ETF. Holdings are disclosed daily, expense ratios are visible in the prospectus, and the fund trades on an exchange during market hours at prices set by supply and demand. Because it is thematic rather than market-cap-weighted, it does not track the S&P 500 or any broad market index; it is a specialized satellite holding for investors with a conviction that AI exposure is worth the elevated concentration and volatility this implies.

Thematic funds often carry higher expense ratios than broad market index ETFs, reflecting the cost of maintaining a focused theme and curating a narrower list of eligible companies. ALAI’s costs relative to a generic tech ETF or a broad market fund should be weighed against the fund’s stated advantage: that its selection methodology captures the AI opportunity more precisely than a traditional index would.

The risks of chasing a theme

Thematic ETFs are vulnerable to a particular set of risks. One is definitional: the boundary between “true” AI enablers and adopters versus companies merely marketing AI exposure can be fuzzy, and the index methodology that draws that line may be overly broad or overly narrow. If the market comes to agree that the definition is wrong, holdings could suffer sudden repricing.

Another is momentum risk. If a thematic fund becomes popular and assets pour in, that inflow can push prices higher independent of fundamentals, creating a window where new buyers pay stretched valuations. Conversely, if sentiment shifts and investors flee thematic exposures, sudden outflows can depress valuations across the entire theme, even for companies whose AI prospects remain sound.

Concentration is a third risk. A thematic fund, by definition, cannot diversify across all industries and sectors—it must overweight the sectors and companies it deems most exposed to the theme. That concentration amplifies both gains and losses compared to a broadly diversified portfolio. In a down market, particularly if sentiment sours on AI hype or regulatory action slows adoption, the fund could underperform a diversified alternative by a significant margin.

Finally, there is the recency risk of rapid market evolution. The AI field is moving quickly; a company that looks like a structural beneficiary today could be disrupted or displaced in a few years. The fund’s holdings must adapt, and the index methodology must evolve. How often and how nimbly it does so will affect long-term returns.

Who this fund is for and how to research it

ALAI is for investors who believe that AI will drive disproportionate growth across multiple sectors and who want exposure to that theme without having to pick individual stocks. It is not a core holding for most investors; it is a tactical or thematic satellite, meant to complement a diversified portfolio.

To research ALAI, start with the fund’s prospectus, which explains the index methodology and which companies qualify as enablers and adopters. Review the current top holdings and their underlying AI exposure—not all tech stocks are equally leveraged to AI. Compare the fund’s performance in different market environments, especially in periods when tech stocks or AI-specific narratives were out of favor. Look at the expense ratio and turnover; higher turnover can create tax inefficiency even inside an ETF structure. As with any thematic fund, understand that it is a bet on a particular story; that story may play out differently than anticipated, and timing when to add or remove thematic exposure is notoriously difficult.