Do AI Labs Like Anthropic and OpenAI Have Economic Moats?

Key Points:

• Morningstar is initiating coverage of AI labs like Anthropic and OpenAI ahead of Anthropic’s anticipated IPO, focusing on whether these companies possess economic moats that provide sustainable competitive advantages.
• A central concern is whether AI labs can generate outsized profits or will face commodification, impacting not only the labs but also the broader AI ecosystem involving chips, power, and data centers.
• Morningstar is cautiously optimistic, identifying two emerging moat sources for leading AI labs: a network effect driven by data and product improvements, and structural cost advantages from advanced algorithms, custom hardware, and large-scale compute discounts.
• The economics of AI labs hinge on the difference between costly, upfront training and research and rapidly scaling, high-margin inference usage, with inference growth expected to drive future profitability.
• Anthropic recently achieved operating profitability, signaling a faster-than-expected path to sustainable returns, and Morningstar’s economic moat ratings assess firms based on their ability to sustain excess returns over 10 to 20 years through factors like network effects and cost advantages.