What AI Stock Rotation Means for Investors
AI stock rotation describes the shift in investor capital from first-wave beneficiaries of artificial intelligence, mainly infrastructure and hardware providers, toward later-stage companies that apply AI to real customer problems and earnings. In this phase, markets move from funding the build-out of chips, servers, and cloud capacity to rewarding data-rich platforms, software, and consumer brands that can translate AI into visible profit growth and higher margins. The rotation reflects changing risk and reward: infrastructure names have already priced in heavy expectations, while many application-layer and consumer-facing stocks still trade on more modest assumptions. For investors, the key question is no longer who supplies the models, but which businesses can defend pricing power, grow revenue, and avoid being commoditized as AI agents automate more work once done by traditional software.
From Infrastructure to Application: Reddit, Snowflake and Others
On Reddit’s r/stocks board, traders argue that Nvidia and other AI infrastructure names have already completed their “big move,” and that the next leg of gains lies in application-layer companies that turn AI into cash. Watchlists now feature Reddit, Snowflake, ServiceNow and Shopify as examples of platforms trying to embed AI directly into workflows. Reddit stands out as a data supplier: supporters highlight revenue growth of about 70%, gross margin near 90%, and a PEG ratio around or below 1, combined with its position as a training source for many large language models. Snowflake’s sharp post-earnings jump, driven by enthusiasm for new AI data products, shows how sensitive these names are to credible monetization stories. This is AI market divergence in action: infrastructure vs application stocks now trade on different expectations, with more upside and uncertainty concentrated in the application camp.
Software Stock Decline: Intuit and the SaaS Valuation Reset
While some application names gain favor, many classic software stocks are suffering one of their worst valuation resets in a decade. Forbes reports that Intuit is the worst-performing S&P 500 constituent so far this year, with the share price down about 50% year-to-date and more than 55% over the last 12 months, even though recent earnings showed 10% revenue growth and earnings per share beating expectations in four straight quarters. According to Forbes, software sector forward P/E ratios have fallen from about 35x at the end of 2025 to 20x in the first quarter, the lowest since 2014, and the IGV software ETF dropped more than 24% in that quarter. Investors fear that generative AI and agents will commoditize many SaaS offerings, squeezing margins and overshadowing solid fundamentals. Intuit’s downgrade from Goldman Sachs underscores how AI risk is now central to every software valuation debate.
Intuit, Anthropic and the New Application-Layer Fault Line
Intuit’s response to AI disruption shows how application companies are being pushed into new roles within the ecosystem. Management has long framed AI as a core strategy rather than a threat, and in February Intuit announced a multi-year partnership with Anthropic. Intuit will connect TurboTax, Credit Karma, QuickBooks and Mailchimp to Anthropic’s Claude products through the Model Context Protocol, while Anthropic’s models will help power custom agents inside Intuit’s platforms. Yet analysts still see meaningful risk: TurboTax accounts for roughly one quarter of Intuit’s revenue and operating profit, and is now facing direct competition from AI-native tax tools. This is the new infrastructure vs application tension: some software firms evolve into AI distribution layers or “front-ends” for foundation models, while others risk being replaced outright. So far, markets have not rewarded the “partner with the model provider” path with meaningfully higher multiples.
Reddit and Victoria’s Secret: Where the Smart Money Is Rotating
Alongside AI data and software stories, investors are rotating toward businesses with clearer earnings visibility, even far from traditional tech. Reddit has become a favorite AI narrative stock because its community data underpins many language models, and bulls argue that as AI penetrates e-commerce and consumer search, Reddit’s “trust layer” of human feedback will gain value. At the same time, Victoria’s Secret has delivered a dramatic example of how markets reward tangible execution rather than hype: a first-quarter report with 15% revenue growth to USD 1.56 billion (approx. RM7.18 billion), adjusted EPS of USD 0.60 (approx. RM2.76) versus a USD 0.30 (approx. RM1.38) forecast, and 13% same-store sales growth sent the stock up 47% in a single day. In an AI stock rotation environment, capital is chasing two themes: application-layer AI winners such as Reddit and Snowflake, and non-AI consumer names that can prove durable profit growth independent of AI cycles.