×

Bharath, an X user based in India, showed off what looks like a $1,499,659,180,107 cost statement and writes, “my soul left my body.” That statement says Bharath’s total is up by 744,728,201,771% this month, which means, by my math, the previous month’s bill was about $200.

According to the Guardian, a marketer named  Dan Harvey, working for an educational nonprofit in the U.K. said he “almost had a heart attack” after seeing a bill climb from 43 cents last month to $7.8 billion this month—and the month wasn’t even over. Harvey added to the Guardian that he had to get on the phone with tech support and “have a real dig around,” to get to the bottom of things. Amazon did not apparently return the Guardian’s request for comment.

This has been resolved, according to Amazon, which writes that on July 16 and 17, “customers received erroneous budget and cost anomaly detection alerts, and saw inflated estimated cost and usage data in the Billing and Cost Management Console and the Cost and Usage Reports.” The amounts are “inaccurate” and “did not affect customer invoices,” Amazon writes, but everything has apparently been restored to normal.

An update Saturday on the AWS service health dashboard lays out what happened. Apparently on July 16, a faulty “configuration change” in the AWS billing system was implemented. “This system relies on unit conversion data to calculate line item charges,” AWS writes, but the change “caused updates to the unit conversion data to fail, resulting in inflated line item costs, which propagated to the Billing and Cost Management console and triggered the budget and cost anomaly alerts.”

Logs on the health dashboard show AWS trying to roll out a solution for about two days before marking the issue as fully resolved.

#Soul #Left #Body #Amazon #Accidentally #Bills #Users #Billions #Times #Oweaffordability crisis,AWS,billing"> ‘My Soul Left My Body’: Amazon Accidentally Bills Users Billions of Times What They Owe Most of us sense we’re in an affordability crisis these days. If you’re like me, you’re helpless and complacent at the checkstand even when it feels like you’re being mugged. But being billed for billions—or even trillions—more than you owe on web hosting would snap anyone out of their affordability daze. Amazon Web Services users around the world have noticed one such glitch: I just saw .5 trillion on my AWS bill and my soul left my body https://t.co/EgfQKJTHVl pic.twitter.com/L0gXYbDio7 — Bharath (@Bharath_uwu) July 17, 2026 Bharath, an X user based in India, showed off what looks like a ,499,659,180,107 cost statement and writes, “my soul left my body.” That statement says Bharath’s total is up by 744,728,201,771% this month, which means, by my math, the previous month’s bill was about 0. According to the Guardian, a marketer named  Dan Harvey, working for an educational nonprofit in the U.K. said he “almost had a heart attack” after seeing a bill climb from 43 cents last month to .8 billion this month—and the month wasn’t even over. Harvey added to the Guardian that he had to get on the phone with tech support and “have a real dig around,” to get to the bottom of things. Amazon did not apparently return the Guardian’s request for comment. This has been resolved, according to Amazon, which writes that on July 16 and 17, “customers received erroneous budget and cost anomaly detection alerts, and saw inflated estimated cost and usage data in the Billing and Cost Management Console and the Cost and Usage Reports.” The amounts are “inaccurate” and “did not affect customer invoices,” Amazon writes, but everything has apparently been restored to normal. An update Saturday on the AWS service health dashboard lays out what happened. Apparently on July 16, a faulty “configuration change” in the AWS billing system was implemented. “This system relies on unit conversion data to calculate line item charges,” AWS writes, but the change “caused updates to the unit conversion data to fail, resulting in inflated line item costs, which propagated to the Billing and Cost Management console and triggered the budget and cost anomaly alerts.” Logs on the health dashboard show AWS trying to roll out a solution for about two days before marking the issue as fully resolved. #Soul #Left #Body #Amazon #Accidentally #Bills #Users #Billions #Times #Oweaffordability crisis,AWS,billing
Tech-news

Bharath, an X user based in India, showed off what looks like a $1,499,659,180,107 cost statement and writes, “my soul left my body.” That statement says Bharath’s total is up by 744,728,201,771% this month, which means, by my math, the previous month’s bill was about $200.

According to the Guardian, a marketer named  Dan Harvey, working for an educational nonprofit in the U.K. said he “almost had a heart attack” after seeing a bill climb from 43 cents last month to $7.8 billion this month—and the month wasn’t even over. Harvey added to the Guardian that he had to get on the phone with tech support and “have a real dig around,” to get to the bottom of things. Amazon did not apparently return the Guardian’s request for comment.

This has been resolved, according to Amazon, which writes that on July 16 and 17, “customers received erroneous budget and cost anomaly detection alerts, and saw inflated estimated cost and usage data in the Billing and Cost Management Console and the Cost and Usage Reports.” The amounts are “inaccurate” and “did not affect customer invoices,” Amazon writes, but everything has apparently been restored to normal.

An update Saturday on the AWS service health dashboard lays out what happened. Apparently on July 16, a faulty “configuration change” in the AWS billing system was implemented. “This system relies on unit conversion data to calculate line item charges,” AWS writes, but the change “caused updates to the unit conversion data to fail, resulting in inflated line item costs, which propagated to the Billing and Cost Management console and triggered the budget and cost anomaly alerts.”

Logs on the health dashboard show AWS trying to roll out a solution for about two days before marking the issue as fully resolved.

#Soul #Left #Body #Amazon #Accidentally #Bills #Users #Billions #Times #Oweaffordability crisis,AWS,billing">‘My Soul Left My Body’: Amazon Accidentally Bills Users Billions of Times What They Owe‘My Soul Left My Body’: Amazon Accidentally Bills Users Billions of Times What They Owe Most of us sense we’re in an affordability crisis these days. If you’re like me, you’re helpless and complacent at the checkstand even when it feels like you’re being mugged. But being billed for billions—or even trillions—more than you owe on web hosting would snap anyone out of their affordability daze. Amazon Web Services users around the world have noticed one such glitch: I just saw $1.5 trillion on my AWS bill and my soul left my body https://t.co/EgfQKJTHVl pic.twitter.com/L0gXYbDio7 — Bharath (@Bharath_uwu) July 17, 2026 Bharath, an X user based in India, showed off what looks like a $1,499,659,180,107 cost statement and writes, “my soul left my body.” That statement says Bharath’s total is up by 744,728,201,771% this month, which means, by my math, the previous month’s bill was about $200. According to the Guardian, a marketer named  Dan Harvey, working for an educational nonprofit in the U.K. said he “almost had a heart attack” after seeing a bill climb from 43 cents last month to $7.8 billion this month—and the month wasn’t even over. Harvey added to the Guardian that he had to get on the phone with tech support and “have a real dig around,” to get to the bottom of things. Amazon did not apparently return the Guardian’s request for comment. This has been resolved, according to Amazon, which writes that on July 16 and 17, “customers received erroneous budget and cost anomaly detection alerts, and saw inflated estimated cost and usage data in the Billing and Cost Management Console and the Cost and Usage Reports.” The amounts are “inaccurate” and “did not affect customer invoices,” Amazon writes, but everything has apparently been restored to normal. An update Saturday on the AWS service health dashboard lays out what happened. Apparently on July 16, a faulty “configuration change” in the AWS billing system was implemented. “This system relies on unit conversion data to calculate line item charges,” AWS writes, but the change “caused updates to the unit conversion data to fail, resulting in inflated line item costs, which propagated to the Billing and Cost Management console and triggered the budget and cost anomaly alerts.” Logs on the health dashboard show AWS trying to roll out a solution for about two days before marking the issue as fully resolved. #Soul #Left #Body #Amazon #Accidentally #Bills #Users #Billions #Times #Oweaffordability crisis,AWS,billing

Most of us sense we’re in an affordability crisis these days. If you’re like me, you’re helpless and complacent at the checkstand even when it feels like you’re being mugged. But being billed for billions—or even trillions—more than you owe on web hosting would snap anyone out of their affordability daze.

Amazon Web Services users around the world have noticed one such glitch:

Bharath, an X user based in India, showed off what looks like a $1,499,659,180,107 cost statement and writes, “my soul left my body.” That statement says Bharath’s total is up by 744,728,201,771% this month, which means, by my math, the previous month’s bill was about $200.

According to the Guardian, a marketer named  Dan Harvey, working for an educational nonprofit in the U.K. said he “almost had a heart attack” after seeing a bill climb from 43 cents last month to $7.8 billion this month—and the month wasn’t even over. Harvey added to the Guardian that he had to get on the phone with tech support and “have a real dig around,” to get to the bottom of things. Amazon did not apparently return the Guardian’s request for comment.

This has been resolved, according to Amazon, which writes that on July 16 and 17, “customers received erroneous budget and cost anomaly detection alerts, and saw inflated estimated cost and usage data in the Billing and Cost Management Console and the Cost and Usage Reports.” The amounts are “inaccurate” and “did not affect customer invoices,” Amazon writes, but everything has apparently been restored to normal.

An update Saturday on the AWS service health dashboard lays out what happened. Apparently on July 16, a faulty “configuration change” in the AWS billing system was implemented. “This system relies on unit conversion data to calculate line item charges,” AWS writes, but the change “caused updates to the unit conversion data to fail, resulting in inflated line item costs, which propagated to the Billing and Cost Management console and triggered the budget and cost anomaly alerts.”

Logs on the health dashboard show AWS trying to roll out a solution for about two days before marking the issue as fully resolved.

#Soul #Left #Body #Amazon #Accidentally #Bills #Users #Billions #Times #Oweaffordability crisis,AWS,billing

Most of us sense we’re in an affordability crisis these days. If you’re like me,…

launched its next generation of OpenSearch Serverless, a fully managed search and vector database — essentially a system for storing and retrieving information at scale — that’s designed specifically for agentic workloads. AWS says the new system can instantly scale up when agents trigger tasks and scale back down to zero when idle.

The launch reflects a growing realization across the tech industry: Infrastructure originally designed for a human-driven internet doesn’t work as well in a world increasingly populated by agents.

While AI agents still represent a relatively small portion of internet activity, machine-generated traffic is already significant, and poised to grow. Cloudflare says bots accounted for 31% of overall HTTP traffic over the last six months. AI crawlers, search engines, and assistants made up roughly a quarter of all bot requests during that period. 

“Non-human traffic will exceed human traffic sometime in the first half of 2027,” said Lai Yi Ohlsen, senior product manager at Cloudflare, to TechCrunch.

At Google’s I/O developer conference last week, the company said users will be able to start delegating tasks to AI systems, like researching purchases, booking travel, browsing the web, and interacting with apps. But the buck doesn’t stop at consumer-focused AI agents. Enterprises are increasingly deploying agents internally and for their customers, creating new kinds of machine-generated traffic behind the scenes. 

As a result, cloud providers and infrastructure companies have been reckoning with how to adapt systems built for humans to a world of agents that are constantly and autonomously retrieving information, invoking tools, and generating machine-to-machine traffic. 

That’s where AWS’s new OpenSearch Serverless comes in. 

“The timing is straightforward. Agents are moving from experimentation into production, and they create traffic patterns that previous infrastructure simply wasn’t designed for,” Tia White, general manager for Amazon OpenSearch Service, told TechCrunch. “They spike without warning, they go idle without notice, and enterprise needs search that keeps up without paying for empty or idle compute.”

The key technical change with this new generation is that it decouples compute from storage, allowing compute to scale up in seconds to accommodate agent traffic bursts and to scale down to zero, so customers pay $0 when agents are idle.

“Previously, even in our prior Serverless version, you had to have at least one instance operational and running because storage and compute were coupled,” White said. “You couldn’t just automatically spin up [compute] at the rate you needed to, so you always had idle compute reserved for your workload, whether you were using it or not.”

Think of it like always paying for a parking space, even when you’re not using it. With AWS’s upgraded Serverless, it’s more like paying for a metered parking spot.

At launch, OpenSearch Serverless will integrate natively with AI development platforms like Vercel and Kiro, so developers can deploy production-ready search and vector backends for agents without managing infrastructure. 

The shift is emerging across the cloud industry. Databricks and Snowflake are repositioning themselves as AI memory and retrieval systems for enterprise data. Microsoft has rolled out updates to Azure designed to handle AI agent bursts and share memory between agents. Cloudflare, in a similar vein to Amazon, last month introduced infrastructure aimed at giving agents persistent environments and instant scalability. 

The more companies deploy AI agents, the more pressure there will be to redesign infrastructure around machine-generated workloads, which in turn could make agents cheaper and easier to deploy at larger scales.

 

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#internet #rebuilt #machines #TechCrunchagentic search,AI agents,AWS,aws opensearch serverless"> The internet is being rebuilt for machines | TechCrunch Cloud infrastructure has long been designed around humans who search, click, scroll, and stream in a steady and predictable fashion. AI agents behave differently. They can unleash a swell of activity, spinning up multiple sub-agents that query hundreds of databases, search documents, and call APIs in seconds and then disappear as quickly as they arrived.  Under that premise, Amazon is redesigning a core piece of its cloud infrastructure. On Thursday, AWS launched its next generation of OpenSearch Serverless, a fully managed search and vector database — essentially a system for storing and retrieving information at scale — that’s designed specifically for agentic workloads. AWS says the new system can instantly scale up when agents trigger tasks and scale back down to zero when idle. The launch reflects a growing realization across the tech industry: Infrastructure originally designed for a human-driven internet doesn’t work as well in a world increasingly populated by agents. While AI agents still represent a relatively small portion of internet activity, machine-generated traffic is already significant, and poised to grow. Cloudflare says bots accounted for 31% of overall HTTP traffic over the last six months. AI crawlers, search engines, and assistants made up roughly a quarter of all bot requests during that period.  “Non-human traffic will exceed human traffic sometime in the first half of 2027,” said Lai Yi Ohlsen, senior product manager at Cloudflare, to TechCrunch. At Google’s I/O developer conference last week, the company said users will be able to start delegating tasks to AI systems, like researching purchases, booking travel, browsing the web, and interacting with apps. But the buck doesn’t stop at consumer-focused AI agents. Enterprises are increasingly deploying agents internally and for their customers, creating new kinds of machine-generated traffic behind the scenes.  As a result, cloud providers and infrastructure companies have been reckoning with how to adapt systems built for humans to a world of agents that are constantly and autonomously retrieving information, invoking tools, and generating machine-to-machine traffic.  That’s where AWS’s new OpenSearch Serverless comes in.  “The timing is straightforward. Agents are moving from experimentation into production, and they create traffic patterns that previous infrastructure simply wasn’t designed for,” Tia White, general manager for Amazon OpenSearch Service, told TechCrunch. “They spike without warning, they go idle without notice, and enterprise needs search that keeps up without paying for empty or idle compute.” The key technical change with this new generation is that it decouples compute from storage, allowing compute to scale up in seconds to accommodate agent traffic bursts and to scale down to zero, so customers pay alt=
Tech-news

launched its next generation of OpenSearch Serverless, a fully managed search and vector database — essentially a system for storing and retrieving information at scale — that’s designed specifically for agentic workloads. AWS says the new system can instantly scale up when agents trigger tasks and scale back down to zero when idle.

The launch reflects a growing realization across the tech industry: Infrastructure originally designed for a human-driven internet doesn’t work as well in a world increasingly populated by agents.

While AI agents still represent a relatively small portion of internet activity, machine-generated traffic is already significant, and poised to grow. Cloudflare says bots accounted for 31% of overall HTTP traffic over the last six months. AI crawlers, search engines, and assistants made up roughly a quarter of all bot requests during that period. 

“Non-human traffic will exceed human traffic sometime in the first half of 2027,” said Lai Yi Ohlsen, senior product manager at Cloudflare, to TechCrunch.

At Google’s I/O developer conference last week, the company said users will be able to start delegating tasks to AI systems, like researching purchases, booking travel, browsing the web, and interacting with apps. But the buck doesn’t stop at consumer-focused AI agents. Enterprises are increasingly deploying agents internally and for their customers, creating new kinds of machine-generated traffic behind the scenes. 

As a result, cloud providers and infrastructure companies have been reckoning with how to adapt systems built for humans to a world of agents that are constantly and autonomously retrieving information, invoking tools, and generating machine-to-machine traffic. 

That’s where AWS’s new OpenSearch Serverless comes in. 

“The timing is straightforward. Agents are moving from experimentation into production, and they create traffic patterns that previous infrastructure simply wasn’t designed for,” Tia White, general manager for Amazon OpenSearch Service, told TechCrunch. “They spike without warning, they go idle without notice, and enterprise needs search that keeps up without paying for empty or idle compute.”

The key technical change with this new generation is that it decouples compute from storage, allowing compute to scale up in seconds to accommodate agent traffic bursts and to scale down to zero, so customers pay $0 when agents are idle.

“Previously, even in our prior Serverless version, you had to have at least one instance operational and running because storage and compute were coupled,” White said. “You couldn’t just automatically spin up [compute] at the rate you needed to, so you always had idle compute reserved for your workload, whether you were using it or not.”

Think of it like always paying for a parking space, even when you’re not using it. With AWS’s upgraded Serverless, it’s more like paying for a metered parking spot.

At launch, OpenSearch Serverless will integrate natively with AI development platforms like Vercel and Kiro, so developers can deploy production-ready search and vector backends for agents without managing infrastructure. 

The shift is emerging across the cloud industry. Databricks and Snowflake are repositioning themselves as AI memory and retrieval systems for enterprise data. Microsoft has rolled out updates to Azure designed to handle AI agent bursts and share memory between agents. Cloudflare, in a similar vein to Amazon, last month introduced infrastructure aimed at giving agents persistent environments and instant scalability. 

The more companies deploy AI agents, the more pressure there will be to redesign infrastructure around machine-generated workloads, which in turn could make agents cheaper and easier to deploy at larger scales.

 

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#internet #rebuilt #machines #TechCrunchagentic search,AI agents,AWS,aws opensearch serverless">The internet is being rebuilt for machines | TechCrunch

Cloud infrastructure has long been designed around humans who search, click, scroll, and stream in a steady and predictable fashion. AI agents behave differently. They can unleash a swell of activity, spinning up multiple sub-agents that query hundreds of databases, search documents, and call APIs in seconds and then disappear as quickly as they arrived. 

Under that premise, Amazon is redesigning a core piece of its cloud infrastructure. On Thursday, AWS launched its next generation of OpenSearch Serverless, a fully managed search and vector database — essentially a system for storing and retrieving information at scale — that’s designed specifically for agentic workloads. AWS says the new system can instantly scale up when agents trigger tasks and scale back down to zero when idle.

The launch reflects a growing realization across the tech industry: Infrastructure originally designed for a human-driven internet doesn’t work as well in a world increasingly populated by agents.

While AI agents still represent a relatively small portion of internet activity, machine-generated traffic is already significant, and poised to grow. Cloudflare says bots accounted for 31% of overall HTTP traffic over the last six months. AI crawlers, search engines, and assistants made up roughly a quarter of all bot requests during that period. 

“Non-human traffic will exceed human traffic sometime in the first half of 2027,” said Lai Yi Ohlsen, senior product manager at Cloudflare, to TechCrunch.

At Google’s I/O developer conference last week, the company said users will be able to start delegating tasks to AI systems, like researching purchases, booking travel, browsing the web, and interacting with apps. But the buck doesn’t stop at consumer-focused AI agents. Enterprises are increasingly deploying agents internally and for their customers, creating new kinds of machine-generated traffic behind the scenes. 

As a result, cloud providers and infrastructure companies have been reckoning with how to adapt systems built for humans to a world of agents that are constantly and autonomously retrieving information, invoking tools, and generating machine-to-machine traffic. 

That’s where AWS’s new OpenSearch Serverless comes in. 

“The timing is straightforward. Agents are moving from experimentation into production, and they create traffic patterns that previous infrastructure simply wasn’t designed for,” Tia White, general manager for Amazon OpenSearch Service, told TechCrunch. “They spike without warning, they go idle without notice, and enterprise needs search that keeps up without paying for empty or idle compute.”

The key technical change with this new generation is that it decouples compute from storage, allowing compute to scale up in seconds to accommodate agent traffic bursts and to scale down to zero, so customers pay $0 when agents are idle.

“Previously, even in our prior Serverless version, you had to have at least one instance operational and running because storage and compute were coupled,” White said. “You couldn’t just automatically spin up [compute] at the rate you needed to, so you always had idle compute reserved for your workload, whether you were using it or not.”

Think of it like always paying for a parking space, even when you’re not using it. With AWS’s upgraded Serverless, it’s more like paying for a metered parking spot.

At launch, OpenSearch Serverless will integrate natively with AI development platforms like Vercel and Kiro, so developers can deploy production-ready search and vector backends for agents without managing infrastructure. 

The shift is emerging across the cloud industry. Databricks and Snowflake are repositioning themselves as AI memory and retrieval systems for enterprise data. Microsoft has rolled out updates to Azure designed to handle AI agent bursts and share memory between agents. Cloudflare, in a similar vein to Amazon, last month introduced infrastructure aimed at giving agents persistent environments and instant scalability. 

The more companies deploy AI agents, the more pressure there will be to redesign infrastructure around machine-generated workloads, which in turn could make agents cheaper and easier to deploy at larger scales.

 

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#internet #rebuilt #machines #TechCrunchagentic search,AI agents,AWS,aws opensearch serverless

Cloud infrastructure has long been designed around humans who search, click, scroll, and stream in…

no longer has exclusive rights to any of its products, Amazon started gloating.

After the revised OpenAI/Microsoft agreement was announced on Monday, Amazon CEO Andy Jassy noted in a tweet that it was a “very interesting announcement.” That agreement solved OpenAI’s problem of allowing AWS to offer its products, an issue that crystalized after it signed an up-to-$50-billion deal with Amazon.

Amazon announced on Tuesday that AWS’s Bedrock service now has OpenAI’s latest models, its code-writing service Codex, and a new product for creating OpenAI-powered AI agents. Bedrock is Amazon’s AI app building and model-choosing service.

Amazon is calling the new agent service Bedrock Managed Agents. It is specifically designed to use OpenAI’s reasoning models, offering features like agent steering and security.

Amazon promises in its blog post that “this is the beginning of a deeper collaboration between AWS and OpenAI.” And it will certainly be interesting to watch.

The Microsoft/OpenAI relationship has reportedly been deteriorating for some time, with each of them finding comfort in the arms of their partner’s biggest rival. OpenAI has turned to AWS and Oracle. Microsoft to Anthropic; the Redmond-based software giant is also working on a new agent offering powered by Claude.

Techcrunch event

San Francisco, CA | October 13-15, 2026

#Amazon #offering #OpenAI #products #AWS #TechCrunchAmazon,AWS,In Brief,OpenAI"> Amazon is already offering new OpenAI products on AWS | TechCrunch Almost as soon as OpenAI announced that its major investor and cloud partner, Microsoft, no longer has exclusive rights to any of its products, Amazon started gloating. After the revised OpenAI/Microsoft agreement was announced on Monday, Amazon CEO Andy Jassy noted in a tweet that it was a “very interesting announcement.” That agreement solved OpenAI’s problem of allowing AWS to offer its products, an issue that crystalized after it signed an up-to--billion deal with Amazon. Amazon announced on Tuesday that AWS’s Bedrock service now has OpenAI’s latest models, its code-writing service Codex, and a new product for creating OpenAI-powered AI agents. Bedrock is Amazon’s AI app building and model-choosing service. Amazon is calling the new agent service Bedrock Managed Agents. It is specifically designed to use OpenAI’s reasoning models, offering features like agent steering and security. Amazon promises in its blog post that “this is the beginning of a deeper collaboration between AWS and OpenAI.” And it will certainly be interesting to watch. The Microsoft/OpenAI relationship has reportedly been deteriorating for some time, with each of them finding comfort in the arms of their partner’s biggest rival. OpenAI has turned to AWS and Oracle. Microsoft to Anthropic; the Redmond-based software giant is also working on a new agent offering powered by Claude. Techcrunch event San Francisco, CA | October 13-15, 2026 #Amazon #offering #OpenAI #products #AWS #TechCrunchAmazon,AWS,In Brief,OpenAI
Tech-news

no longer has exclusive rights to any of its products, Amazon started gloating.

After the revised OpenAI/Microsoft agreement was announced on Monday, Amazon CEO Andy Jassy noted in a tweet that it was a “very interesting announcement.” That agreement solved OpenAI’s problem of allowing AWS to offer its products, an issue that crystalized after it signed an up-to-$50-billion deal with Amazon.

Amazon announced on Tuesday that AWS’s Bedrock service now has OpenAI’s latest models, its code-writing service Codex, and a new product for creating OpenAI-powered AI agents. Bedrock is Amazon’s AI app building and model-choosing service.

Amazon is calling the new agent service Bedrock Managed Agents. It is specifically designed to use OpenAI’s reasoning models, offering features like agent steering and security.

Amazon promises in its blog post that “this is the beginning of a deeper collaboration between AWS and OpenAI.” And it will certainly be interesting to watch.

The Microsoft/OpenAI relationship has reportedly been deteriorating for some time, with each of them finding comfort in the arms of their partner’s biggest rival. OpenAI has turned to AWS and Oracle. Microsoft to Anthropic; the Redmond-based software giant is also working on a new agent offering powered by Claude.

Techcrunch event

San Francisco, CA | October 13-15, 2026

#Amazon #offering #OpenAI #products #AWS #TechCrunchAmazon,AWS,In Brief,OpenAI">Amazon is already offering new OpenAI products on AWS | TechCrunch

Almost as soon as OpenAI announced that its major investor and cloud partner, Microsoft, no longer has exclusive rights to any of its products, Amazon started gloating.

After the revised OpenAI/Microsoft agreement was announced on Monday, Amazon CEO Andy Jassy noted in a tweet that it was a “very interesting announcement.” That agreement solved OpenAI’s problem of allowing AWS to offer its products, an issue that crystalized after it signed an up-to-$50-billion deal with Amazon.

Amazon announced on Tuesday that AWS’s Bedrock service now has OpenAI’s latest models, its code-writing service Codex, and a new product for creating OpenAI-powered AI agents. Bedrock is Amazon’s AI app building and model-choosing service.

Amazon is calling the new agent service Bedrock Managed Agents. It is specifically designed to use OpenAI’s reasoning models, offering features like agent steering and security.

Amazon promises in its blog post that “this is the beginning of a deeper collaboration between AWS and OpenAI.” And it will certainly be interesting to watch.

The Microsoft/OpenAI relationship has reportedly been deteriorating for some time, with each of them finding comfort in the arms of their partner’s biggest rival. OpenAI has turned to AWS and Oracle. Microsoft to Anthropic; the Redmond-based software giant is also working on a new agent offering powered by Claude.

Techcrunch event

San Francisco, CA | October 13-15, 2026

#Amazon #offering #OpenAI #products #AWS #TechCrunchAmazon,AWS,In Brief,OpenAI

Almost as soon as OpenAI announced that its major investor and cloud partner, Microsoft, no…