1 Tech ETF Set to Outperform as Agentic and Physical AI Transform 2025


Wall Street analysts expect solid market gains in 2025. The S&P 500 consensus outlook projects a 9% rise in the benchmark index, offering investors a potential total return of 10.2% including dividends.

However, artificial intelligence (AI) investments could drive even stronger returns this year. Based on Wall Street consensus estimates, the Invesco QQQ Trust (NASDAQ: QQQ), a technology-focused exchange-traded fund (ETF), should deliver a robust 15.5% gain, with total returns approaching 16% after accounting for dividends and its modest 0.20% expense ratio.

Hologram of the letters AI hovering above a circuit board.
Image Source: Getty Images.

Here’s why three major AI catalysts could drive this outperformance versus the S&P 500 in 2025.

Big tech isn’t playing around when it comes to ramping up its computing power. Microsoft alone plans to spend $80 billion on AI-enabled data centers in fiscal 2025, with over half of this investment targeted for the United States. This unprecedented capital deployment highlights the scale of infrastructure needed to power next-generation AI systems and the ongoing AI arms race occurring both within the U.S. tech landscape and between the U.S. and China more broadly.

Where is this trend heading? Industry forecasts project AI-ready data center capacity will grow at a blistering 33% annual rate through 2030, creating sustained demand for hardware, software, and services from the Invesco QQQ Trust’s top technology holdings, such as Nvidia (NASDAQ: NVDA) and Microsoft.

The bottom line is that the AI data center hyperbuild will remain a key theme for several more years, which should put wind in the sails of many of the ETF’s core holdings in 2025. For this reason alone, the Invesco QQQ ought to continue to outperform the broader market, represented by the S&P 500, in 2025.

QQQ Chart
QQQ data by YCharts

The next wave of AI isn’t just about raw computing power. Nvidia CEO Jensen Huang predicts 2025 will mark a watershed moment for AI in business operations, with new AI agents capable of automating up to 50% of tasks across roles from customer service to supply chain management. This shift from experimental technology to widespread deployment could accelerate enterprise spending on AI solutions.

The race to capture this market is already heating up. Salesforce has launched its Agentforce platform for business automation, while several other major tech firms are pouring resources into competing solutions. This rapid development cycle should drive significant revenue growth for the fund’s enterprise software leaders throughout 2025 and beyond.


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