Meta's AI-Driven Earnings Power Makes Its Selloff Look Mispriced

Meta Platforms (META) stock is trading around $610, down slightly but significantly off its 52-week high of nearly $800. This weakness stems from a puzzling post-earnings selloff in late April. Despite reporting stellar Q1 2026 results—including revenue growth accelerating to 33% (its fastest pace since 2021) and EPS beating estimates by 7.2%—the stock fell 8% the next day.

The market's negative reaction was primarily triggered by Meta's increased capital expenditure (capex) guidance for the year, now projected at $125-$145 billion. Investors seemed to fear a repeat of the costly, long-term metaverse investments. However, this selloff created a stark divergence: while Meta's growth accelerated, Alphabet (GOOG/GOOGL), which grew at 22%, saw its stock rally 10% on its earnings.

This divergence highlights a central tension. Meta is now the fastest-growing company in the Magnificent 7 (excluding Nvidia) and trades at the cheapest forward P/E ratio in the group, yet it was punished for spending that directly fueled its impressive growth. The article argues this reaction is based more on sentiment than financial reality.

The key data point missed by many is the explosive growth of Meta's AI-driven 'value optimization suite' for advertisers. This product, built on the new AI infrastructure, has reached a $20 billion annual revenue run rate, more than doubling in a year. This demonstrates a direct and immediate return on the company's massive tech investments.

This matters because Meta's current AI spending is fundamentally different from its past metaverse bets. The returns are visible in real-time within its core advertising business, creating a powerful growth cycle. Every dollar spent on AI infrastructure improves ad targeting, which increases advertiser returns, which in turn boosts Meta's revenue and pricing power.

The proof is in the metrics. A trillion-parameter AI model drove a 1.6% improvement in ad conversion rates, translating to billions in added value for advertisers. Consequently, Meta achieved the rare feat of accelerating both ad impressions (up 19%) and the average price per ad (up 12%) simultaneously. This signals genuine pricing power, not just volume growth.

The capex increase itself is more about execution costs than strategy. Higher component and data center build-out costs pushed the budget up, not a decision to fund more speculative projects. The runway and expected return on investment for the planned AI projects remain unchanged.

Financially, the core advertising engine is immensely profitable, generating about $108 billion in operating profit. This easily funds the Reality Labs segment's $15-$18 billion annual loss, treating it as a contained, long-term option. Meanwhile, monetization of its vast user base is accelerating, with average revenue per person growing 27%, and new revenue streams like WhatsApp Premium are on the horizon.

Valuation is the final, compelling piece. Meta trades at a forward P/E of about 19x, a discount to its historical average and far below Alphabet's multiple, despite growing roughly 50% faster. On a cash flow basis, Meta trades at 11x forward operating cash flow versus Alphabet's 22x, a gap that appears structurally inconsistent given their relative growth and financial profiles.