Google is expanding its AI-powered browser assistant, Gemini, within Google Chrome to seven additional countries. The rollout includes Australia, Indonesia, Japan, the Philippines, Singapore, South Korea, and Vietnam, with availability across desktop and iOS devices, except in Japan where mobile support is not yet included.

The expansion builds on Google’s broader effort to embed AI directly into everyday tools, turning Chrome into a more interactive and task-oriented platform. Gemini in Chrome was first launched in the United States earlier this year, with subsequent rollouts to India, Canada, and New Zealand.

AI Assistant Integrated Into Browsing

Gemini in Chrome operates through a floating window and sidebar interface, allowing users to interact with AI while browsing. The assistant can answer questions across multiple tabs, summarize content, and provide contextual insights without leaving the browser.

A key feature is its integration with Google services. Users can connect Gemini to tools such as Gmail, Google Calendar, and Google Photos, enabling tasks like drafting emails, scheduling meetings, and retrieving personal data. The system also supports location-based queries through Maps, making it a central interface for managing both information and actions.

Google has also added creative capabilities, including the ability to transform images directly within the browser using its image tools.

Moving Toward Agentic Browsing

The rollout reflects a broader shift toward “agentic” AI systems that can perform tasks on behalf of users. Google is currently testing more advanced capabilities that allow Gemini to control the browser itself, completing actions such as navigating websites or executing workflows.

However, these agentic features remain limited in availability. They are currently in testing and restricted to users on paid plans in the United States, indicating a cautious rollout as Google refines the technology.

Expanding Global Reach

By extending Gemini in Chrome to additional markets, Google is accelerating its global AI strategy and increasing competition with other platforms integrating AI into productivity tools and browsers.

The move signals a shift in how users interact with the web, with AI assistants increasingly acting as intermediaries between users and online content. As these systems evolve, browsers like Chrome are becoming not just access points to information, but active participants in completing tasks and managing workflows.

Apple is entering a new leadership era as John Ternus prepares to take over as CEO on September 1, 2026, succeeding Tim Cook. While Cook leaves behind a company valued at roughly $4 trillion, the transition comes at a critical moment as investors increasingly focus on Apple’s position in artificial intelligence.

Despite its dominance in consumer devices, Apple has largely stayed on the sidelines of the generative AI boom. Competitors such as Microsoft, Google, Amazon, and Meta have committed hundreds of billions of dollars to AI infrastructure, data centers, and custom chips. Apple, by contrast, has taken a more measured approach, avoiding large capital expenditures and relying partly on external partners for AI capabilities.

The company’s current strategy includes integrating third-party models such as Gemini and ChatGPT into its ecosystem, alongside its own “Apple Intelligence” features. However, consumer response has been mixed, and Apple has yet to introduce a flagship AI product comparable to offerings from its peers.

Hardware-Centric Approach to AI

Ternus, a longtime hardware leader, is expected to lean into Apple’s core strength: tightly integrated devices. The company has been building AI capabilities into its chips since 2017 and is betting that future workloads will increasingly run on-device rather than in the cloud.

This strategy could differentiate Apple in areas such as privacy, performance, and energy efficiency. However, it also raises questions about whether the company can keep pace with competitors developing large-scale AI models and cloud-based services.

Apple continues to see strong demand for its core products. iPhone revenue recently jumped 23% year over year to $85.3 billion, driven by the latest device lineup. Yet analysts warn that hardware growth alone may not satisfy investors if AI becomes the primary driver of value in the tech sector.

Expanding Into AI-Driven Devices and Services

The company is reportedly exploring new AI-powered hardware categories, including smart glasses, enhanced AirPods, and other wearable devices. A foldable iPhone is also expected, which some analysts view as a potential catalyst for the next phase of hardware innovation.

At the same time, Apple’s services business presents another opportunity for AI integration. Subscription offerings such as iCloud, Apple TV+, and payment services could benefit from more personalized, AI-driven experiences. However, this may require balancing Apple’s long-standing emphasis on privacy with the data demands of advanced AI systems.

A Defining Moment for Apple’s Next Chapter

Ternus will inherit a company that remains highly profitable and influential but faces growing pressure to articulate its role in the AI era. Analysts suggest that Apple may need to return to a faster pace of innovation, particularly as consumer behavior shifts toward AI-driven interfaces and services.

While Apple has avoided the costly infrastructure race dominating the industry, the coming years may force a clearer strategic choice: whether to double down on device-centric AI or expand more aggressively into cloud-based intelligence.

As the leadership transition approaches, investors will be watching closely for signals of how Apple plans to compete in what is rapidly becoming the most important battleground in technology.

Amazon has agreed to invest up to $25 billion more in Anthropic, significantly expanding their partnership around artificial intelligence infrastructure. The deal builds on Amazon’s previous $8 billion investment and includes an initial $5 billion injection, with up to $20 billion tied to future milestones.

As part of the agreement, Anthropic will commit to spending more than $100 billion over the next decade on Amazon Web Services (AWS) technologies. This includes using Amazon’s custom AI chips, particularly the Trainium family, to train and deploy its Claude models. Anthropic has also secured up to 5 gigawatts of compute capacity, reflecting the scale of infrastructure required to support growing demand.

The announcement comes as both companies seek to strengthen their positions in the increasingly competitive AI market, where access to large-scale compute resources is becoming a key differentiator.

Scaling AI Infrastructure at Massive Levels

Anthropic said it plans to bring nearly 1 gigawatt of Trainium2 and Trainium3 capacity online by the end of the year. The company’s reliance on AWS as its primary cloud and training partner signals a deepening alignment between the two firms.

The investment also highlights Amazon’s broader push into AI infrastructure. The company has indicated it could spend around $200 billion on capital expenditures this year, largely focused on expanding data center capacity and supporting generative AI workloads.

At the same time, Anthropic is facing rapidly growing demand. The company said increased enterprise adoption and rising consumer usage of its Claude models have begun to strain its infrastructure, affecting performance and reliability. The expanded AWS partnership is intended to address these constraints.

Intensifying Competition Among AI Leaders

The deal comes amid intensifying competition between leading AI companies and cloud providers. Anthropic’s main rival, OpenAI, has also secured large-scale infrastructure commitments, including a recent agreement with Amazon reportedly worth up to $50 billion.

Anthropic, founded in 2021 by former OpenAI researchers, has positioned itself as a major enterprise AI provider, with annualized revenue exceeding $30 billion. The company has also formed partnerships with other cloud providers, including Microsoft and Google, reflecting a multi-cloud strategy despite AWS being its primary partner.

The scale of these investments underscores a broader shift in the AI industry, where access to compute infrastructure is becoming as critical as model innovation. Companies are racing to secure capacity and build custom hardware to support increasingly complex models.

For Amazon, the expanded deal strengthens AWS’s position as a key provider of AI infrastructure. For Anthropic, it ensures access to the compute resources needed to scale its models and meet growing demand, as both companies prepare for what could be a new phase of competition in enterprise and consumer AI markets.

AI coding startup Cursor is in talks to raise $2 billion in a new funding round that could value the company at more than $50 billion, according to a CNBC report. The round is expected to be co-led by Andreessen Horowitz, with participation from Nvidia and Thrive Capital, all of which are existing investors.

The potential deal underscores continued investor enthusiasm for startups building AI-powered coding agents, a rapidly expanding category within enterprise software. Cursor has emerged as one of the leading players in this space, offering tools that automate software development tasks such as writing, testing, and debugging code.

The reported valuation marks a sharp increase from the company’s previous funding. In November, Cursor raised $2.3 billion at a $29.3 billion post-money valuation, following a $900 million round earlier in 2025. The new round, if completed, would nearly double the company’s valuation in less than a year.

Rising Competition in AI Coding Tools

Cursor was among the early startups to focus on AI coding agents, but competition has intensified as major technology companies expand into the space. Firms such as Google, Anthropic, and OpenAI have all introduced their own coding assistants, increasing pressure on independent players.

Despite this, Cursor has continued to differentiate its product by focusing on autonomous agent capabilities. In recent updates, the company added features that allow AI agents to test their own code, document actions through logs and screenshots, and provide more transparent workflows for developers.

The broader appeal of these tools lies in their ability to reduce the time and effort required to build software. By automating repetitive tasks and assisting with complex coding challenges, AI agents are becoming increasingly integrated into development pipelines.

Investor Momentum Behind AI Agents

The scale of the proposed funding round reflects a broader shift in venture capital toward AI infrastructure and developer tools. Investors are betting that coding agents will play a central role in how software is created, potentially reshaping workflows across industries.

Cursor’s existing backers include firms such as Accel, DST Global, and Coatue, as well as strategic investors like Google. Continued support from top-tier investors suggests confidence in the company’s long-term position despite increasing competition.

The reported funding discussions come at a time when demand for AI-driven development tools is accelerating. As organizations adopt these systems to improve productivity, startups like Cursor are attracting significant capital to scale their platforms and expand capabilities.

If completed, the round would further cement Cursor’s status as one of the most valuable companies in the emerging AI coding agent market.

OpenAI confirmed that ChatGPT experienced a major outage, preventing users from accessing the platform along with related services including Codex and its API. The disruption began Monday morning and quickly escalated, with thousands of users reporting issues across multiple regions.

According to outage tracking site Downdetector, reports surged throughout the morning, surpassing 5,000 incidents within hours. Many users said they were unable to load ChatGPT entirely, while others experienced failures when attempting to use developer tools or APIs.

OpenAI’s status page acknowledged the issue, stating that users were unable to access core services and that the company was actively investigating. At the time of the latest update, no clear cause had been identified and services had not been fully restored.

Widespread Impact Across AI Services

The outage affected not only ChatGPT but also OpenAI’s broader ecosystem, including its API platform used by developers and businesses. This suggests the issue may be tied to underlying infrastructure rather than a single application.

The disruption highlights how dependent many users and organizations have become on AI services for daily workflows. From coding assistance to customer support and content generation, outages can have immediate operational impacts.

The number of reported issues continued to climb throughout the morning, indicating the problem persisted for several hours. OpenAI has not yet provided a timeline for full resolution or details on what caused the disruption.