Key Highlights

● IGPT fell 1.87% to $91.60 in Friday's October 16 intraday session.

● IGPT tracks the STOXX World AC NexGen Software Development Index.

● The fund holds roughly 90 to 100 global software and platform equities.

● It charges a net expense ratio of 0.57% with a 0.08% SEC yield.

The Invesco AI and Next Gen Software ETF (NYSE American:IGPT), which tracks the STOXX World AC NexGen Software Development Index, fell 1.87% to $91.60 in intraday trading on Friday, October 16.

Session commentary centered on investors reassessing AI infrastructure exposure after a global tech selloff tied to AI financing and valuation concerns, with IGPT lagging even as broader US equities proved relatively steadier.

In the initial phases of the artificial intelligence boom, capital flowed almost exclusively into physical semiconductor hardware and GPU fabrication facilities. However, high-performance silicon is merely the compute substrate; the enduring long-term economic value of artificial intelligence will ultimately be captured by the software applications and cloud platforms that integrate machine learning into enterprise workflows. IGPT is designed specifically to capture this software monetization transition.

Enterprise AI software has built momentum as corporations transition from experimental pilot projects to full production deployments, software platforms providing specialized AI agents, automated workflow tools, and cloud data architecture are generating robust annual recurring revenue expansion.

Legal Architecture & Benchmark Index Rules

IGPT is registered under the Investment Company Act of 1940 as an open-end management investment company, operating as an active investment series of Invesco Exchange-Traded Fund Trust II. Invesco Capital Management LLC serves as the registered investment advisor, managing passive physical replication and semi-annual reconstitutions. The fund launched on June 23, 2005.

The fund tracks the STOXX World AC NexGen Software Development Index. This rules-based benchmark screens global equities to identify companies that generate significant revenue from cutting-edge software development sectors, including artificial intelligence, cloud computing, cybersecurity, and digital automation. The index applies liquidity screens and strict market-capitalization weighting constraints with individual stock caps to ensure balanced exposure across mature tech giants and high-growth software pioneers. The fund invests at least 90% of its assets in global equities of companies that derive significant revenue from artificial intelligence and next-generation software development.

Portfolio Composition: Full-Stack Enterprise Software Architecture

IGPT holds approximately 90 to 100 global software and platform equities, providing extensive breadth across developed international markets. The portfolio deliberately avoids pure-play chipmakers to concentrate capital in the software application and cloud infrastructure layer.

Its top portfolio holdings include cloud and foundation model titans Alphabet (NASDAQ:GOOGL), Meta Platforms (NASDAQ:META), Microsoft (NASDAQ:MSFT), and Amazon (NASDAQ:AMZN), alongside enterprise workflow leaders Salesforce (NYSE:CRM), Adobe (NASDAQ:ADBE), and ServiceNow (NYSE:NOW), and mission-critical cloud data infrastructure providers such as Oracle (NYSE:ORCL), Snowflake (NYSE:SNOW), and Datadog (NASDAQ:DDOG). This composition ensures that IGPT participates in enterprise AI spending across cloud hosting, foundational model access, and specialized software tools.

Expense Structure, Operating Fees & Index Efficiency

Invesco (NYSE:IVZ) charges a net annual operating expense ratio of 0.57% for IGPT. This fee reflects the specialized index licensing, global custody across international markets, and algorithmic portfolio execution required to track an international next-generation technology benchmark.

Compared to broad tech index funds like the Invesco QQQ Trust (NASDAQ:QQQ), which charges 0.20%, IGPT’s 0.57% fee represents a targeted premium for screening and isolating pure software developers from capital-intensive consumer hardware and legacy telecommunication firms.

Performance Dissection: Transition from Hardware to Software Alpha

In intraday trading on Friday, October 16, IGPT opened at $91.59 and traded between $90.89 and $91.73, compared with a previous close of $93.35. Its 52-week range of $53.27 to $109.32 reflects the accelerating commercial adoption of generative AI copilot tools and autonomous enterprise agents.

While semiconductor chipmakers led the earliest stages of the market cycle, enterprise software companies experienced expanding operating margins and accelerated subscription growth as AI features were monetized through premium pricing tiers, driving substantial multiple expansion across the portfolio.

Distribution Profile, Dividend Yield & Form 1099 Tax Efficiency

Because enterprise software companies reinvest the vast majority of operational cash flows into research and development, cloud infrastructure, and strategic talent acquisition, IGPT maintains a modest income profile. Its 30-day SEC yield stands at approximately 0.08% as of October 2026.

From a taxation standpoint, IGPT provides standard Form 1099-DIV reporting. Distributions generally qualify as qualified dividend income (QDI) for eligible US investors, and the fund completely avoids the administrative burdens of Schedule K-1 partnership tax forms.

Secondary Market Liquidity & Lead Market Making

Trading under the ticker IGPT, the fund maintains active secondary market liquidity supported by institutional authorized participants and market makers. Intraday bid-ask spreads typically hover between three and five cents per share during normal US trading hours.

Because underlying portfolio holdings trade on deep US and European exchanges with multi-billion-dollar liquidity, authorized participants execute block creation and redemption trades with minimal pricing slippage relative to net asset value.

Primary Investment Risks: Premium Valuation Multiples & IT Budget Scrutiny

Investing in IGPT involves notable sector risks. Many enterprise software constituents trade at elevated price-to-earnings and enterprise-value-to-revenue multiples, leaving them vulnerable to sharp valuation contractions during macroeconomic interest rate spikes.

Additionally, if corporate IT buyers delay software upgrades due to macroeconomic uncertainties, software growth rates could decelerate. The industry also faces intense competitive dynamics, as rapid advancements in open-source AI models could potentially disrupt proprietary software platforms.

Software Layer of the AI Stack

IGPT covers enterprise AI spending across cloud hosting, foundational model access, and specialized software tools through roughly 90 to 100 global equities.

Pure-play chipmakers are deliberately left out, keeping the portfolio in the software application and cloud infrastructure layer.