{"slug": "amazon-ai-chief-sees-path-to-catch-up-in-coming-year", "title": "Amazon AI chief sees path to catch up in coming year", "summary": "Amazon Senior Vice President Peter DeSantis acknowledged the company's AI models have not been at the frontier of the largest workloads but expressed hope that Amazon will be in the conversation about leading models within the coming year. DeSantis highlighted Amazon's dual AI strategy, including the Bedrock model marketplace and the in-house Nova 2 model, which has attracted about 50,000 customers since its December 2025 launch, as well as investments in custom Trainium and Inferentia chips. The comments position Amazon as aiming to close the gap with industry leaders OpenAI and Anthropic.", "body_md": "# Amazon AI chief sees path to catch up in coming year\n\nCNBC reports that Amazon SVP Peter DeSantis acknowledged the company has \"not been at the very frontier\" of the largest AI workloads and said he hopes Amazon will be \"in the conversation about leading models in the coming year.\" The interview recapped Amazon's dual approach to AI: a model marketplace, Bedrock, and in-house model Nova 2, which launched December 2025 and has about 50,000 customers per DeSantis. Amazon is also investing in custom chips (Trainium, Inferentia) as part of its AI infrastructure effort. The comments frame Amazon as aiming to close a gap with industry leaders OpenAI and Anthropic, while continuing to build model, data, and hardware capabilities, according to the CNBC report.\n\n### What happened\n\nCNBC published an interview with Amazon Senior Vice President Peter DeSantis in which he said \"I think it's a fair narrative that our models haven't been at the very frontier for the very largest, most demanding workloads,\" and added he hopes Amazon will be \"in the conversation about leading models in the coming year.\" DeSantis stated **Nova 2** has about 50,000 customers since its December 2025 launch on Bedrock. Amazon also operates Bedrock as a model marketplace and is developing custom silicon - Trainium and Inferentia chips - as core AI infrastructure.\n\n### Technical context\n\nSeparately, at VivaTech 2026 in Paris on the same day, DeSantis described the chips-models relationship as requiring lockstep development: \"If the chips are not telling the model designers what capabilities are coming and where they can optimize, then we're not doing the science necessary to take advantage of those capabilities until the chips are available, and then you're waiting months and months,\" per About Amazon. He described the outcome when done right as a \"flywheel of better models, better chips, lower cost, and better efficiency.\"\n\n### Editorial analysis\n\nCompanies attempting to close a frontier-model gap typically need three elements at scale: high-quality training data and architecture investment; large-scale compute and custom hardware; and production-grade serving infrastructure. Amazon's public comments name all three: architecture work, custom silicon, and the Bedrock plus in-house model stack. The gap DeSantis acknowledges is real - Nova 2's December 2025 launch came well after GPT-4-class and Gemini-class models had established consumer and enterprise dominance.\n\n### What to watch\n\nExternal signals of progress include public benchmarks or technical papers from Amazon on Nova 2, Trainium availability and throughput announcements, changes in Bedrock partner listings, and enterprise case studies showing Nova 2 on latency-sensitive workloads. DeSantis did not provide a detailed roadmap beyond the \"coming year\" timeframe.\n\n## Scoring Rationale\n\nAmazon's AI SVP making a frank public admission that the company is not at the frontier - while naming a one-year catch-up target - is notable strategy-level news from a major cloud provider. The story is supported by verified product context (Nova 2, Bedrock, Trainium) but remains primarily executive commentary without new technical releases or benchmark evidence, which caps the score in the notable range.\n\nPractice with real Retail & eCommerce data\n\n90 SQL & Python problems · 15 industry datasets\n\n250 free problems · No credit card\n\n[See all Retail & eCommerce problems](/problems/datasets/retail)", "url": "https://wpnews.pro/news/amazon-ai-chief-sees-path-to-catch-up-in-coming-year", "canonical_source": "https://letsdatascience.com/news/amazon-ai-chief-sees-path-to-catch-up-in-coming-year-c02b63b8", "published_at": "2026-06-17 18:24:18.516529+00:00", "updated_at": "2026-06-17 18:24:21.014719+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-infrastructure", "ai-chips", "ai-products"], "entities": ["Amazon", "Peter DeSantis", "Nova 2", "Bedrock", "Trainium", "Inferentia", "OpenAI", "Anthropic"], "alternates": {"html": "https://wpnews.pro/news/amazon-ai-chief-sees-path-to-catch-up-in-coming-year", "markdown": "https://wpnews.pro/news/amazon-ai-chief-sees-path-to-catch-up-in-coming-year.md", "text": "https://wpnews.pro/news/amazon-ai-chief-sees-path-to-catch-up-in-coming-year.txt", "jsonld": "https://wpnews.pro/news/amazon-ai-chief-sees-path-to-catch-up-in-coming-year.jsonld"}}