Retail Investors Back Big Tech AI Spending Despite Cooling Market Sentiment

Quick Summary

Current retail investor sentiment remains robust regarding Big Tech’s AI capital expenditure, with 38% of investors more likely to buy Magnificent 7 stocks due to their heavy spending. While broader AI bullishness has cooled to 44%, investors are prioritizing proven profitability and results over speculative growth.

How is Big Tech AI spending influencing retail investor sentiment?

The latest data suggests that retail investor sentiment is increasingly tied to the massive capital outlays of the "Magnificent 7." Rather than being deterred by high costs, 38% of investors view this spending as a long-term confidence vote. This trend is particularly pronounced among younger demographics, with 49% of Gen Z and 47% of millennials stating that high AI investment levels make them more likely to acquire shares in these tech giants. Key metrics include:

• 2.5x more investors are attracted than deterred by AI spending.
• 43% of respondents expect the Magnificent 7 to outperform the market in 2026.
• 20% of investors prioritize technology for increased investment, leading all other sectors.

"Retail investors see Big Tech’s AI spending as a vote of confidence in the technology’s long-term potential. A level of commitment that is strengthening, not weakening, its appeal. The scale of investment appears to reinforce their willingness to back the companies building the infrastructure, models and products that will shape the next phase of AI adoption." said Lale Akoner, eToro’s Global Market Strategist.

Why are investors becoming more selective about AI stocks?

While confidence in the largest tech firms remains high, broader retail investor sentiment toward the wider AI sector is entering a cooling-off period. The proportion of investors expecting general AI stocks to rise has dropped from 55% to 44% over the last year. This shift indicates a move from "promise to proof," where the market demands tangible revenue growth and clear return on investment metrics. Investors are no longer treating AI as a "rising tide" that lifts all boats, but are instead concentrating their conviction on firms that can demonstrate how AI spending translates into sustainable bottom-line profits.

"After several years of AI enthusiasm, investor conviction is becoming more concentrated. They no longer see AI as a rising tide, instead focusing on which companies can turn huge AI spending into adoption, revenues and, ultimately, return on investment. The winners will be those that can show AI is not just a growth story, but a profitable one." commented Lale Akoner.

How are AI tools being integrated into the retail investment process?

Beyond stock selection, retail investor sentiment is shifting toward the adoption of AI tools within the investment workflow itself. A significant 56% of investors are now open to using AI agents or LLMs like ChatGPT to refine their portfolios. The primary drivers for this adoption include saving research time (41%) and the belief that AI represents the future of finance (40%). Interestingly, 27% of retail investors now believe that AI could potentially make superior investment decisions compared to human judgment, signaling a major shift in how technology enters the toolkit of the everyday trader.

"Retail investors see AI as a practical tool to save time, process information and test their thinking, not a replacement for human judgement. That is the direction of travel for AI in investing: more scrutiny of where value will be created, alongside greater willingness to use the technology as part of the investment process." added Lale Akoner.

FF NEWS TAKE:

This eToro data confirms that the "AI hype" phase is evolving into an "AI utility" phase. While retail investor sentiment remains high for the cash-rich Magnificent 7, the 11% drop in broader AI bullishness is a wake-up call for smaller players. The industry is moving toward a performance-based hierarchy where only those who can prove monetization of AI will survive the next market cycle. The real needle-mover here is the 56% openness to AI-led investing, which could fundamentally disrupt traditional advisory models.