Invesco AI and Next Gen Software ETF (IGPT)

What does IGPT actually hold?

The Invesco AI and Next Gen Software ETF (IGPT) is an actively managed fund designed to capture exposure to companies developing or deploying artificial intelligence and next-generation software. Unlike a passive index fund that tracks a fixed list of holdings, IGPT’s managers select approximately 50–80 stocks from the universe of AI and software companies. The holdings span multiple layers of the AI ecosystem: companies designing AI chips and specialized hardware; cloud infrastructure providers offering computing power to train and run AI models; software firms building AI-native applications; and traditional software companies integrating AI into existing products.

The breadth of the strategy means IGPT is not a pure-play AI bet on a narrow handful of chip makers. It casts a wider net, recognizing that AI adoption happens across the stack. A company like Nvidia, dominant in AI chips, sits alongside cloud infrastructure players like Amazon and Microsoft, alongside smaller AI application vendors, and alongside legacy software houses reengineering their products to compete in an AI era. The diversity is intentional — it hedges the bet that no single layer of the AI economy will dominate, while still maintaining exposure to all of them.

Why active management over passive indexing?

IGPT’s active approach reflects a deliberate choice about how to capture AI exposure. The AI and software landscape is young and fluid; companies rise and fall as the technology matures. A passive index based on a fixed snapshot of “AI companies” would gradually become stale — including yesterday’s leaders and missing tomorrow’s winners. Active management allows the portfolio to rebalance into companies with the most promising technology, market position, and growth trajectory. The manager can also maintain looser concentration constraints than a passive index, allowing larger positions in genuinely differentiated businesses rather than algorithmic equal-weight or market-cap-weight rules.

But active management is not cost-free. IGPT’s expense ratio is higher than a simple passive AI index would be, reflecting the research overhead and trading costs of maintaining a dynamically selected portfolio. And active management introduces selection risk — if the fund’s managers systematically pick the wrong stocks or miss the winners, performance suffers.

How does IGPT trade and what are its costs?

IGPT is a standard exchange-traded fund, meaning it trades on a stock exchange throughout the day at prices set by the market. The fund’s net asset value — the underlying value of all its holdings — is calculated once per day after the market closes, but the ETF price can trade at a small premium or discount to that NAV during the day depending on supply and demand. For most ETFs, this premium or discount is negligible, but IGPT’s relatively small asset base and active-management structure mean the bid-ask spread (the gap between the highest buy price and the lowest sell price) is wider than it would be for a huge passive index fund. An investor buying a small position in IGPT should expect a spread of perhaps 0.1–0.3% or more, depending on market conditions.

The expense ratio — the annual fee charged by the fund — is a material cost for long-term holders. It covers the manager’s research team, portfolio transactions, and fund administration. Compare it explicitly against passive AI-sector funds; the difference in cost directly hits long-term returns if the active manager fails to add alpha (outperformance) to offset it.

What are the real risks?

The most obvious risk is technology concentration. IGPT is exposed to a sector and technology that is genuinely uncertain. Artificial intelligence has attracted enormous capital and excitement, but not every application will succeed, and incumbent software companies may integrate AI more effectively than the specialists. A prolonged downturn in enterprise software spending or a loss of confidence in AI’s commercial value would hit the fund hard across the board.

Volatility is another feature, not a bug. Software and AI companies are growth stocks; they often trade on expectations rather than current earnings, so they can swing wildly on narrative shifts. A single negative headline about AI regulation, or a missed earnings beat from a heavyweight holding, can create sharp drawdowns.

There is also concentration risk, albeit of a different kind. Because the portfolio is actively selected, it may have fewer, larger positions than a passive broad-index approach would. If the manager bets heavily on one subsector — say, AI chips — and that segment underperforms, losses will be larger than in a diversified portfolio.

Finally, active-management risk: the manager may simply pick poorly. Comparing IGPT’s returns against a passive AI index over time will reveal whether the active edge justifies the extra cost. Many active funds underperform their passive peers after fees; this is not a given.

How would an investor research and monitor IGPT?

Start with the fund’s latest fact sheet and prospectus, available on Invesco’s website and through ETF data providers. These documents list the top 10 holdings and the portfolio’s major sector weightings. Then cross-check the holdings against your own view of which AI and software companies have genuine competitive advantages; if the fund is holding companies you have never heard of or that seem like speculation, question whether the manager is adding value or simply chasing hype.

Track the fund’s performance against a passive AI index over a 3–5 year window. If IGPT consistently lags after fees, the active approach is not paying for itself. If it consistently leads, the manager is adding genuine alpha.

Watch the fund’s expense ratio relative to competitors; if it drifts higher, that is a signal that costs are rising without a commensurate benefit.

Finally, monitor the manager’s turnover. High turnover — selling out of positions and buying new ones frequently — creates trading costs and tax friction that can erode net-of-fee returns. The fund’s annual turnover is disclosed in its prospectus.

IGPT is suitable for investors who believe AI will be a multi-year growth driver across software and hardware, who are comfortable with growth-stock volatility, and who believe Invesco’s active management can beat a passive alternative. It is not suitable for conservative investors, those needing current income, or those skeptical that active software selection adds value.