Virtus Artificial Intelligence & Technology Opportunities Fund (AIO)

Virtus Artificial Intelligence & Technology Opportunities Fund is a closed-end investment fund — a basket of stocks that trades on an exchange like a single security — that focuses on publicly traded companies involved in developing or deploying artificial intelligence. The fund is one of many launched or relaunched in recent years to capitalize on investor interest in AI as a transformational technology. It is managed by Virtus Investment Partners, a Philadelphia-based asset manager. The fund’s performance and popularity depend entirely on the underlying stocks it holds, which means understanding the fund means understanding both how closed-end funds work and which AI and tech companies are driving the investment thesis.

What is a closed-end fund, and how does it differ from an open-end mutual fund?

A closed-end fund raises a fixed amount of capital at inception, invests it in a portfolio of securities, and then issues a fixed number of shares that trade on an exchange. Unlike an open-end mutual fund, which continuously sells new shares and redeems old ones at net asset value, a closed-end fund’s shares trade like a stock — the price can move above or below the net asset value of the underlying holdings, depending on supply and demand among traders. This means a closed-end fund can trade at a premium or a discount to its underlying asset value, a dynamic that open-end funds do not experience. The fund typically pays out distributions (dividends and realized capital gains) to shareholders, often monthly or quarterly.

Virtus AI & Technology Opportunities Fund operates under this structure. It holds a portfolio of technology and AI-related stocks, and those shares trade under the ticker AIO. The fund’s share price can deviate from the net asset value of its holdings, sometimes trading at a discount (cheaper than the underlying stocks are worth) and sometimes at a premium (more expensive), depending on market sentiment toward the fund and its strategy.

What stocks does the fund hold, and why?

The fund invests in companies across the AI technology landscape: chip makers like Nvidia that supply the processors used in AI systems; software companies that build AI tools or integrate AI into their products; infrastructure providers that run AI workloads; and companies applying AI to solve problems in healthcare, finance, manufacturing, and other sectors. The portfolio is actively managed, meaning the fund’s managers continuously adjust holdings based on their views of which companies are advancing AI most aggressively and which are likely to benefit most as AI adoption accelerates.

The specific holdings change over time, but the theme is constant: companies that are central to the AI boom, whether they are making the tools, providing the infrastructure, or using those tools to transform their own business. This thematic focus can create concentration risk — if a few large holdings perform poorly, the fund’s results suffer disproportionately. The fund also tends to hold growth-oriented technology stocks, which are more volatile than the market as a whole and highly sensitive to shifts in interest rates and investor risk appetite.

Why would someone invest in AIO instead of buying an AI-focused index?

A closed-end fund like AIO offers active management. The fund’s managers aim to outperform a broad technology index by being selective — picking companies they believe are best-positioned in AI, avoiding those they think are overvalued, and adjusting the portfolio as the landscape evolves. If the managers are skillful, they can generate returns above what a passive index would deliver. If they are not, or if their calls are wrong, they will underperform.

The trade-off is that active management comes with higher fees than a passive index fund, and those fees compound. The fund also introduces the risk of manager skill — the quality of investment decisions depends on the specific people making them. Additionally, the closed-end fund structure means that the fund’s share price can disconnect from the underlying asset value, creating opportunities to buy at discounts or traps for those who buy at premiums.

What is the current landscape for AI-focused investing?

The AI theme exploded into public consciousness in late 2022 and 2023, following the release of large language models like ChatGPT. This sparked a surge in demand for AI-related stocks, particularly chip makers like Nvidia and AI infrastructure providers. The index of technology stocks rose sharply, and any fund focused on AI benefited from the broad sector movement and the concentration of wealth in a handful of mega-cap AI stocks. Virtus’s AI & Technology Opportunities Fund shared in those gains, but the underlying investor base’s appetite for AI-themed products is cyclical and sentiment-driven.

Since the initial AI enthusiasm peaked, valuations have compressed in some areas as investors grapple with whether AI adoption will actually produce the returns that companies and their backers claim. Growth stocks, which dominate the AI landscape, have faced cyclical headwinds from interest-rate cycles and rotations between value and growth. The fund’s performance has reflected this, with periods of strength followed by weakness depending on the tech sector’s momentum.

What are the risks in owning AIO?

The core risk is that the companies the fund holds may not deliver on the AI opportunity. If adoption is slower than expected, if competition commoditizes AI tools, or if returns on AI investment are lower than the hype suggests, the underlying stocks will decline. Because the fund concentrates on technology and AI, it is highly sensitive to the fortunes of that sector; a broad market downturn that hits growth stocks harder will hurt AIO more than a diversified portfolio.

Second, the closed-end fund structure introduces basis risk. The fund’s share price can diverge significantly from the underlying net asset value. An investor who buys shares when the fund trades at a large premium faces the risk that the premium collapses, destroying value even if the underlying stocks perform well. Conversely, an investor who buys at a discount may benefit if the discount narrows.

Third, there is performance risk. The fund’s managers must identify winning AI companies before the market has fully recognized them. This is notoriously difficult; many actively managed funds fail to beat passive indexes over long periods. If Virtus’s managers do not add alpha through better stock selection, the fund’s higher fees will drag on returns relative to simply owning an AI-focused index.

How would someone monitor AIO’s performance?

Start by comparing the fund’s total return to a relevant benchmark — perhaps the Nasdaq-100 index, which is heavy in technology, or a dedicated AI-focused index if one exists. Look at the fund’s holdings over time to understand what the managers are betting on. Track whether the fund trades at a premium or a discount to its net asset value; a widening discount may indicate weakness in confidence in the fund’s strategy.

Review the fund’s annual report and the manager’s commentary to understand the investment thesis and any changes in approach. Watch the underlying holdings individually — if Nvidia, for instance, falls sharply, AIO will likely suffer because so much of the AI opportunity depends on the infrastructure that Nvidia provides. Finally, assess whether the fund’s dividend yield and capital gains distributions are sustainable given the underlying portfolio performance; if distributions are paid out of principal, that is a warning sign.

The fundamental question is whether the fund’s managers can identify and hold AI winners reliably enough to justify the fees. If the answer is no, a passive AI index fund may be simpler and cheaper.