The newspaper said the incidents resulted from errors involving Amazon’s own tool, known as Kiro. In one case in mid-December, AWS customers experienced a 13-hour interruption.

Engineers had allowed the tool to carry out certain system changes. It then decided to “delete and recreate the environment”, the report said, which led to the disruption.

AWS disputed that account.

In an emailed response to Reuters, a company spokesperson said the disruption was brief and blamed it on user error. “This brief event was the result of user error-specifically misconfigured access controls, not AI.”

The spokesperson added that the interruption was “an extremely limited event” affecting a single service in one of AWS’s two mainland China regions. It did not impact compute, storage, database, AI technologies, or any other AWS services, the company said.

The December incidents follow an outage in October that disrupted Amazon’s cloud operations globally. That earlier failure affected Amazon’s own services and several high-profile apps, including Reddit, Roblox and Snapchat.

AWS is the cloud division of Amazon and supports a large share of the internet’s infrastructure. Because of that reach, even short interruptions can affect millions of users and businesses.

Both Amazon Web Services outages in December have drawn attention because they involved automation tools that can act with limited human input.

Cloud providers have been expanding the use of such systems to manage complex infrastructure. At the same time, customers expect stability and clear accountability when problems occur.

Competitors including Microsoft Azure and Google Cloud are also developing automated tools to manage their platforms.

AWS maintains that the December disruption resulted from misconfigured access controls, not from the coding tool acting on its own.

The updated platform lets users stream Windows software such as Excel, AutoCAD, or SAP directly through the Chrome browser or as web apps, taking out the need for full desktop virtualisation. 

This approach gives organisations the freedom to operate legacy Windows programmes alongside modern web-based tools in ChromeOS, simplifying workflows and cutting down the time and resources needed to switch between systems.

“For years, the primary blocker for deeper enterprise adoption of ChromeOS has always been the ‘app gap’, the persistent need to access a few remaining Windows applications within an organization,” Google said in its announcement. 

“Now, teams can move to a more modern, collaborative productivity suite that was built for the web, and they can still access any specialized Windows apps that their workflows still depend on.”

Cameyo’s integration with ChromeOS Flex takes the transition a step further, allowing IT departments to convert existing Windows or Mac devices into secure ChromeOS endpoints while still running Windows applications. 

This feature provides companies with a cost-effective and sustainable way to modernise their systems without replacing their hardware.

The service also includes centralised management and security tools for IT teams and supports Gemini AI for smarter, contextual assistance. For hybrid work environments, this balance between cloud-native and legacy software could reduce complexity while boosting productivity.

In bridging the gap between traditional and web-based computing, Google is making ChromeOS a practical alternative to Windows, particularly in sectors like education, healthcare, and government, where device costs and manageability are most important.

PCMag noted that Cameyo by Google “makes ChromeOS an even more effective Windows replacement”, stressing how the new integration could finally close one of the biggest limitations to wider ChromeOS adoption.

The platform, built on Google’s Gemini models, aims to strengthen the tech giant’s competitive edge in enterprise AI, as Microsoft, OpenAI, and Anthropic, among others, are not holding back.

Gemini Enterprise functions as a conversational system that enables employees to interact directly with company data, documents, and applications. The goal, Google says, is to make AI a core part of every workflow, not just an add-on. “We’re introducing Gemini Enterprise, designed to bring the full power of Google’s AI to every employee, for every workflow,” the company said during the launch.

The announcement comes as Google Cloud continues to expand, having surpassed a $50 billion annual revenue run rate in the second quarter of 2025. According to the company, about 65% of its cloud customers already use Google’s AI products, including nine of the world’s top ten AI labs.

Gemini Enterprise builds upon Google’s full-stack AI strategy, combining the strength of its infrastructure, foundational models, and research divisions such as Google DeepMind. The platform is powered by a multi-layer system, from the company’s purpose-built Tensor Processing Units (TPUs) and Nvidia GPUs, to its world-leading Gemini models, which have consistently topped global performance benchmarks.

Google describes Gemini Enterprise as “the new front door for AI in the workplace.” It features pre-built AI agents capable of conducting deep research, generating data insights, and automating complex workflows. Through a no-code interface, companies can also create and deploy their own agents, tailored to their specific operations.

Early adopters of the platform include Gap, Klarna, and Figma. Klarna, for instance, is using Gemini’s generative tools to produce personalised lookbooks that have boosted customer orders by 50%. 

In the healthcare sector, HCA Healthcare has deployed a “Gemini-powered Nurse Handoff solution” that simplifies patient information transfers between shifts, a move expected to save millions of hours annually.

Google is also using its own technology internally. Nearly half of all new code at the company is now generated by AI and reviewed by engineers, significantly accelerating development cycles.

The launch further reveals Google’s vision for a connected AI ecosystem. Gemini Enterprise securely links with data across multiple platforms, including Google Workspace, Microsoft 365, Salesforce, and SAP, ensuring enterprise-wide access without compromising governance or security.

To encourage adoption, Google is rolling out Google Skills, a free training platform that will teach users how to build and deploy agents within Gemini Enterprise. The company also introduced Delta, a team of expert AI engineers who will work directly with clients to deploy advanced solutions.

With Gemini Enterprise, Google is embedding AI at the very foundation of how organisations work. “AI is presenting a once-in-a-generation opportunity to transform how you work, how you run your business, and what you build for your customers,” the company stated.