Janus Henderson Global Artificial Intelligence ETF (JHAI)

The Janus Henderson Global Artificial Intelligence ETF (ticker JHAI) invests in a global portfolio of companies that create, enable, or benefit from artificial intelligence technology. Unlike passive index funds that automatically hold a fixed list of components, JHAI is actively managed — its portfolio managers at Janus Henderson make deliberate choices about which AI-exposed companies to own and how much to weigh each position.

What the fund holds and why

JHAI’s portfolio manager constructs the fund by identifying companies involved in three broad categories: companies that are building AI (developing chips, training models, creating platforms), companies that are implementing AI (using it to run their own businesses more effectively), and companies that are enablers of AI infrastructure (data centers, cloud computing, semiconductors). This is a fundamentally different task from an indexed fund, which must include everything in its chosen basket regardless of the manager’s conviction.

Because JHAI is actively managed, the portfolio typically holds 40 to 60 companies rather than hundreds. Positions concentrate in semiconductors, software platforms, and cloud infrastructure companies — the layers where AI technology is most architecturally embedded. Large-cap names carry meaningful weight, but the fund is not a pure megacap play; growth-stage and mid-cap AI businesses appear where the manager sees compelling opportunity.

The fund’s approach amounts to a bet not just on AI as an abstract technology, but on a specific set of companies the manager believes will win in the AI era. That conviction can be an advantage if the underlying picks are sound, but it is also a source of risk — the portfolio can diverge sharply from market indexes if the manager’s thesis falters.

Active management and cost trade-offs

Active management comes with an expense ratio noticeably higher than a passive AI index fund. The ongoing management fee pays the analysts and portfolio manager who research individual companies and make daily allocation calls. For investors, this is a trade-off: you pay more for the potential of better stock-picking, but you also bear the risk that active selections will lag.

Because JHAI is an ETF rather than a traditional mutual fund, it trades hourly on an exchange at a price that fluctuates with its holdings, unlike mutual funds which price once per day. This liquidity is useful for investors who want to enter or exit quickly, though the fund’s market price may trade at a small premium or discount to its net asset value depending on supply and demand at any given moment.

Concentration risk and volatility

A portfolio of 40 to 60 AI-related companies is more concentrated than a broad index, which means any single poor performer or sector rotation can have outsized impact on returns. AI is also a domain where technology moves quickly — the fund’s analysts are continuously assessing which companies are winning the race to deploy productive systems and which are falling behind. This dynamic means holdings can shift more frequently than in a passive fund.

Because AI stock valuations have swung dramatically based on earnings disappointments, competitive setbacks, or shifts in sentiment about the technology’s near-term utility, JHAI’s share price can be volatile. Periods of pessimism about AI returns or particular companies can drive sharp drawdowns, just as optimistic announcements can fuel rallies.

How to research this fund

The starting point is the fund’s prospectus and factsheet from Janus Henderson, which lay out the objective, strategy, and current holdings. Look at the top 10 positions and the sector breakdown to understand what bet you are actually taking — the largest holdings often reveal whether the manager is concentrated in semiconductors, software, or infrastructure. The fund’s performance against relevant benchmarks (such as the NASDAQ or a broader technology index) over multiple years shows whether active management has added value after fees, and whether the manager’s conviction has translated to better-than-market returns. Holdings turnover — how frequently the manager buys and sells — gives a sense of how dynamic the portfolio is. Finally, review the expense ratio against competing AI-focused passive funds to weigh whether the cost of active management aligns with your expectations about the value of active selection.