Amazon Reportedly Plans to Consolidate Nova AI Models

Amazon Reportedly Plans to Consolidate Nova AI Models

Amazon Reportedly Plans to Consolidate Nova AI Models

Image: Christian Wiediger/Unsplash

Amazon reportedly plans to consolidate several Nova AI models. Here’s what the strategy shift could mean for AWS and enterprise AI customers.

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David Curry
David Curry
Jul 28, 2026

Amazon is reportedly looking to revamp its AI strategy, shifting from a wide portfolio of models for text, images, video, and multimodal tasks toward a single frontier model.

The ecommerce giant has been one of the main beneficiaries of the AI boom, with developers investing heavily in compute capacity from AWS. However, it has not seen similar gains in the AI model market, with several of its flagship models trailing the industry leaders in revenue and market share.

Amazon plans to deprecate several models, including Premier and Omni, the Canvas image-generation model, and the Reel video-generation model, according to a report by Business Insider. These could be consolidated into a single multimodal frontier model, potentially still under the Nova brand.

“As with any AI portfolio, we continually evolve our model lineup based on what customers need,” an Amazon spokesperson told Reuters. “We’re continuing to invest in and support the Nova models our customers rely on today. We’re also investing in the next generation of frontier model research.”

Amazon has also reduced headcount within its artificial general intelligence organization, according to. The cuts could support a more concentrated development strategy, although Amazon has not said that it is scaling back its broader ambitions to build frontier models in-house.

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Amazon, like Microsoft, has spent billions maintaining close relationships with leading AI developers OpenAI and Anthropic. It has invested $25 billion in Anthropic, alongside agreements that ensure the company uses AWS for some of its compute capacity, and has earmarked a further $20 billion for investment over time.

Amazon also brought GPT and Codex to AWS in April, ending Microsoft’s exclusivity over the models. This came shortly after Amazon finalized a $50 billion investment in OpenAI.

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AWS revenue rose 28% year over year in the first quarter of 2026, reflecting continued demand for cloud and AI infrastructure, according to Amazon. Although that growth trailed Google Cloud and Oracle, AWS remains substantially larger by revenue.

However, like Microsoft, Amazon still wants its own portfolio of AI models for internal use and for sale to cloud customers. It recently expanded its Connect platform with four agentic services covering supply chain planning, recruitment, customer engagement, and healthcare administration.

The strategic retreat could also affect hardware products and services still in development. Amazon had reportedly been planning an AI-native smartphone that would allow users to access Alexa directly through the device, while plans for additional Alexa+ smart devices may also be reconsidered.

For AWS customers, the shift could mean Amazon focuses more heavily on supplying the infrastructure and third-party models they already use, rather than competing across every part of the AI market itself.

Also read: Amazon Raises $25 Billion in Bond Sale as AI Spending Accelerates

David Curry

David Curry is a tech journalist and analyst with more than a decade of experience covering the technology sector for established media outlets and research-driven publications. He has reported on the industry since the early 2010s, with a focus on B2B technology, data journalism, mobile apps and app markets, artificial intelligence, digital platforms, and emerging technologies. His work combines journalism, analysis, and industry research to help readers understand how technology trends develop, how digital markets evolve, and how businesses and consumers are affected by new platforms, products, and innovations. David’s coverage often explores the intersection of technology, business strategy, market data, and user behavior. David holds a BA from the University of Lincoln and a master’s degree in International Journalism from the University of Leeds. His academic background and years of reporting experience inform his clear, analytical approach to explaining complex technology topics for professional and general audiences.