Artificial intelligence stocks are trading at their biggest AI stocks discount in seven years, according to Morningstar research, creating what analysts describe as a rare entry point for long-term investors. Despite the four largest hyperscalers -- Amazon, Alphabet, Microsoft, and Meta -- committing up to $725 billion in AI infrastructure spending for 2026, valuations have compressed significantly from their October 2025 peaks. Morningstar's index tracking the most frequently held AI-focused stocks globally is now trading at roughly a 20% discount to estimated fair value.
The disconnect between massive capital deployment and falling multiples reflects growing investor skepticism about the timeline for AI returns. Markets are no longer giving AI companies the benefit of the doubt on spending -- they want proof of revenue. The result is a sector where fundamentals are strengthening (earnings have beaten expectations for four consecutive quarters) but prices have lagged, producing the most attractive risk-reward setup since the pre-pandemic era.
What happened
The AI valuation compression has been building since early 2026. The forward price-to-earnings ratio for the S&P 500 Information Technology sector peaked above 30x in October 2025, according to FactSet. Since then, a succession of strong earnings seasons has allowed tech stocks to grow into their valuations -- the earnings denominator expanded faster than prices, mechanically lowering the P/E multiple. But the real catalyst for the discount was the market volatility of early 2026, when tariff fears and inflation concerns triggered a rotation out of growth stocks.
The Nasdaq 100's price-to-earnings-growth (PEG) ratio is now hovering near two-decade lows, according to CNBC analysis, meaning investors are paying less per unit of expected earnings growth than at almost any point in the modern AI era. Michael Field, Morningstar's chief equity strategist, called it a fantastic entry point, noting that AI stocks are now at their largest discount since 2019.
What makes the current setup unusual is the sheer scale of capital being deployed alongside compressed valuations. Amazon is expected to spend $200 billion on AI infrastructure in 2026 -- more than any other hyperscaler. Alphabet raised its full-year capex guidance to $180-190 billion, up from an earlier $175-185 billion range. Microsoft's capital spending forecast sits at $190 billion for 2026, with $25 billion attributed to higher component costs.