Big Tech

Amazon admits its AI models lag behind OpenAI and Anthropic, but says it can catch up

· June 17, 2026
Amazon admits its AI models lag behind OpenAI and Anthropic, but says it can catch up

What happened

Amazon’s AI chief, Peter DeSantis, acknowledged that Amazon’s AI models are behind leaders like OpenAI and Anthropic. Speaking to CNBC, he said the company’s models have not kept pace with the frontier in handling the largest and most demanding AI workloads. DeSantis made it clear Amazon is aware of this gap but remains confident it can catch up, aiming to be “in the conversation” on advanced AI technology.

Why it matters

This admission confirms what many suspected: Amazon is trailing the AI leaders in model capability. For businesses relying on Amazon Web Services for AI-powered applications, this gap translates to slower access to top-tier models compared to competitors leveraging OpenAI or Anthropic. It pressures Amazon to accelerate its AI development or risk losing AI-driven workloads and cloud market share to rivals who offer more powerful models.

Amazon’s strength lies in its custom AI chips and infrastructure, suggesting it still has a path to close the distance organically. However, catching up means significant investment and innovation in AI models, not just hardware. For founders and enterprises, this means monitoring Amazon’s AI roadmap closely before fully committing to their platforms for high-demand AI applications.

What to watch next

Focus will be on how quickly Amazon can launch new models that compete with OpenAI’s GPT series and Anthropic’s offerings. Early indicators will be Amazon integrating stronger AI across AWS services and matching competitors’ natural language and reasoning capabilities. Watch for Amazon acquiring AI startups or partnering to speed development as well.

Investors and operators should also watch Amazon’s investment in AI talent and R&D spending. If Amazon closes this gap, it could reshape the competitive dynamics in AI-driven cloud services. Until then, the market will price in Amazon as a strong infrastructure provider but a secondary AI model vendor.

AI Quick Briefs Editorial Desk

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