Intel expands Google Cloud partnership to deploy Gemini AI across workforce for chip design

Intel says it's going to lean on Google's Gemini to help automate and accelerate silicon development

Intel says it's going to lean on Google's Gemini to help automate and accelerate silicon development Intel Corp. said today it's expanding its long-running partnership with Google Cloud into the agentic artificial intelligence realm. By deploying the Gemini Enterprise platform across its global workforce, the chipmaker says it will be able to accelerate workflows across its corporate, engineering, supply chain and marketing operations. It's also going to use Google's autonomous agents to accelerate its chip design lifecycles and boost innovation companywide. Intel Vice President and Chief Information Officer Cindy Stoddard said the company is embarking on an ambitious "AI-powered transformation" that aims to help every one of its employees move with greater speed and agility and work more efficiently. Gemini Enterprise will be the key enabler of those efforts. "Our work with Google Cloud allows us to provide our employees with a central hub to build and deploy agents through Gemini Enterprise and scale silicon development with elastic cloud infrastructure," she said. The partnership will see Intel move beyond isolated AI pilot projects for the first time and make dedicated agentic coding assistance and engineering automation capabilities available to its entire organization. The plan is to use Gemini's advanced reasoning skills to streamline development pipelines and automate many of the complex, multistep workflows currently performed manually with customized line-of-business agents trained on Intel's unique business processes. The chipmaker will also make Gemini available to its marketing and communications teams, so they can generate hyper-targeted content for specific audiences. According to Stoddard, the company has already been experimenting with Gemini in this area, with early pilots spanning agents that can recommend the most relevant subject matter experts for any given topic and generate executive-ready messaging. Intel's ambitions to scale silicon design with AI agents might be an even bigger deal. It wants to rely on Gemini to optimize its development simulations and developer workloads. By automating much of this work, Intel should be able to do a lot more of it, which is why it's also planning to lean on Google Cloud's infrastructure. It said the cloud company will augment its existing on-premises compute capabilities with its C4 and N4 instances so it can run multiple complex high-performance computing simulations concurrently and, in turn, dramatically speed up its chip design processes. The announcement builds on a longstanding partnership that has seen Google and Intel collaborate on everything from AI chip interconnects to 5G networks. In April, Google said it's going to adopt multiple future iterations of Intel Corp.'s Xeon central processing units that will be deployed on its public cloud platform to support AI and general-purpose computing workloads. As part of that arrangement, Google will also use Intel's infrastructure processing units or IPUs, which handle infrastructure management tasks so the CPUs have more capacity to focus on actual compute. Holger Mueller, an analyst with Constellation Research, told SiliconANGLE that it's a smart move for Intel to move more chip development to Google Cloud and lean on Gemini, though he wondered if some might see it as a bit of a "barney deal" that lacks any real substance, given that it's Intel's Xeon processors that power Google Cloud's C4 and N4 compute instances. "This announcement is the hidden "pro quo" of what was announced in April, but it's all good so long as the customer wins," he added. Nontheless, Google Cloud Chief Product and Business Officer Karthik Narain was more insistent that the partnership will ultimately transform what enterprise AI can achieve. "Pairing Intel's engineering expertise with Google Cloud's agentic AI tools creates an autonomous foundation that will fundamentally accelerate how they design, operate and scale for the AI wave," he promised.

Sundar Pichai Says 'Great' to see Intel Using Gemini Enterprise as Chipmaker Expands Google Cloud Partner

Google Cloud Deepens Intel AI Partnership Reacting to the announcement on X, Alphabet CEO Sundar Pichai wrote, "Great to see @Intel using Gemini Enterprise across its business, including to speed up the development of next-gen semiconductors!" Under the expanded agreement, Intel will deploy Gemini Enterprise as a centralized AI platform for employees, enabling teams to build and use AI agents for coding, engineering automation and other business workflows. The company also plans to use AI-powered tools to support marketing and communications by identifying subject matter experts, generating executive messaging and creating content across multiple channels. "As part of our AI-powered transformation, we are committed to offering our employees tools that help them move with greater speed, agility, and efficiency," said Cindy Stoddard, Intel's senior vice president and chief information officer. AI Agents And Google Cloud To Speed Chip Development Beyond rolling out Gemini Enterprise, Intel is expanding its use of Google Cloud's C4 and N4 cloud instances to supplement its on-premises computing capacity. Google launched its C4 and N4 general-purpose VMs in April 2024, powered by fifth-generation Intel Xeon processors and Titanium architecture for improved performance and efficiency. The additional high-performance computing resources will allow engineering teams to run more semiconductor simulations simultaneously, helping shorten chip development timelines. Google Cloud CEO Thomas Kurian said the companies are "expanding our strategic partnership with @Intel to accelerate their enterprise-wide digital transformation using Gemini Enterprise and @GoogleCloud." He added that integrating custom, agentic AI workflows across core business functions and silicon design would help Intel achieve greater speed, agility and efficiency across its global operations. Price Action: Alphabet's Class A shares closed Thursday down 4.44% at $354.46, while Class C shares fell 4.43% to $353.81. In after-hours trading, GOOGL gained 0.86% to $357.51 and GOOG rose 0.88% to $356.92, according to Benzinga Pro. According to Benzinga Edge Rankings, Alphabet boasts a 95th-percentile Quality score, supported by a strong price trend across the short, medium and long term. Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Photo Courtesy: FotoField on Shutterstock.com Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.

Intel and Google deepen AI ties for chip design

Intel Corporation (INTC) and Google Cloud announced an expanded partnership on Thursday 16th, deploying Gemini Enterprise across Intel's workforce and pushing agentic AI tools into its chip design process, according to an Intel Newsroom statement. The announcement should have read as an unambiguous win for a company trying to prove its AI credentials. Instead, Intel shares closed down 5.84% that day, sliding to $96.98 from the prior session's $102.99, according to data from TheStreet. The sell-off had a different author entirely. Intel's sell-off traces back to Taiwan, not Mountain View Taiwan Semiconductor Manufacturing reported record second-quarter results the same Thursday, posting a 67.7% gross margin and raising its 2026 capital spending target to as much as $64 billion, up from a prior ceiling of $56 billion. Investors read the higher capex as a sign that even the industry's most profitable chipmaker will need years to turn AI demand into free cash flow. Semiconductor stocks fell broadly on the news, and Intel, still trying to prove its own foundry can turn a profit, absorbed more damage than most. That single earnings report explains more of Thursday's move than any AI partnership could. Intel had already fallen from a 52-week high of $142.35 in late June to roughly $103 by mid-July, a decline tied to reports that its 18A manufacturing process may not reach profitable yields until 2027, according to The Motley Fool. The same week, AMD reported first-quarter data center revenue of $5.8 billion, edging past Intel's $5.1 billion in that segment for the first time, the outlet reported. Both events mattered more to Intel's stock than a cloud computing deal. JHVEPhoto / Getty Images The AI deal reaches deep into chip design Under the expanded agreement, Intel will use Gemini Enterprise as a central platform for employees to build and deploy AI agents across engineering, supply chain and corporate operations, the Intel Newsroom statement said. Google Cloud will also expand the computing capacity available to Intel's chip designers, adding custom agentic workflows meant to shorten the semiconductor development lifecycle. Google Cloud CEO Thomas Kurian said the goal is to accelerate Intel's enterprise-wide digital transformation using Gemini Enterprise and Google Cloud. Alphabet CEO Sundar Pichai publicly welcomed the news, framing Intel's adoption of Gemini as a marquee example of the platform reaching into next-generation semiconductor work, Benzinga reported. The arrangement carries a wrinkle other coverage has largely skipped. Google designs its own AI accelerators, called Tensor Processing Units, for use inside its own data centers. Handing agentic chip design workflows to Google Cloud means Intel's engineers are now building silicon partly on infrastructure controlled by a company that competes with Intel in custom AI silicon, even as it sells Intel enterprise software everywhere else. This dynamic highlights a strange new reality in the semiconductor industry. To move fast enough to survive, companies are forced into complex relationships where they must share critical development environments with their direct rivals. Intel is essentially betting that the speed gains from using Google's AI will outweigh any long term strategic risks of relying on a competitor's infrastructure. Google shares, meanwhile, ticked up about 0.1% the same day. That muted move underscores how differently the market treats AI infrastructure providers versus AI infrastructure buyers. Google captures steady enterprise software revenue from deals like this one regardless of how Intel's hardware business performs. Google needs Intel as much as Intel needs Google This is not a one-way arrangement. Google Cloud committed to deploying Intel's latest Xeon 6 processors across its own cloud infrastructure under an April 2026 agreement that laid the groundwork for Thursday's expansion. Every enterprise workload Google shifts onto Xeon hardware strengthens Intel's case that its chips still belong inside the world's largest cloud providers, even as Nvidia and custom silicon dominate the AI training conversation. Enterprise AI adoption is now a side story to manufacturing risk Wall Street increasingly treats chipmakers as two separate stories: the AI partnerships they sign, and the manufacturing execution that determines whether they can profit from them. Intel's Thursday captured that gap perfectly. A partnership touching nearly every part of its business barely registered against a single capital spending number out of Taiwan. While everyday investors are reacting sharply to immediate manufacturing risks, institutional heavyweights seem willing to play a much longer game. The U.S. government took a roughly 10% equity stake in the company last August, and Nvidia invested $5 billion in December even though the two chipmakers compete for the same AI infrastructure dollars, according to The Motley Fool. Google's expanded AI partnership fits that same pattern: strategic partners keep betting on Intel's turnaround even as the stock keeps testing investors' patience. Intel reports second-quarter earnings on July 23. That report, not this week's Google Cloud news, will show whether Intel's foundry turnaround can keep pace with the AI story it keeps telling investors. Specifically, Wall Street will be looking for concrete updates on the 18A manufacturing timeline and any signs of improvement in the company's foundry margins. If management cannot prove they are controlling the physical costs of building these chips, no amount of AI software integration will be enough to calm nervous shareholders. The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc. This story was originally published July 18, 2026 at 11:33 AM.

Intel expands Google Cloud partnership to deploy Gemini AI across workforce By Investing.com

Investing.com -- Intel and Google Cloud have expanded their multi-year strategic partnership to deploy Gemini Enterprise across Intel's global workforce and scale the chipmaker's semiconductor development on Google Cloud infrastructure, as the company accelerates its AI-driven operational transformation. The expanded collaboration aims to embed generative AI and agentic workflows across Intel's engineering, supply chain and corporate operations while using Google Cloud's high-performance infrastructure to speed semiconductor design. The move reflects a broader push by large enterprises to integrate AI into core business functions beyond pilot projects, improving productivity, automating complex workflows and shortening product development cycles. Intel said it will use Gemini Enterprise as a centralized platform for employees to build and deploy AI agents, including coding assistants and engineering automation tools powered by Gemini's advanced reasoning capabilities. The company also plans to deploy AI agents to streamline marketing and communications, including recommending subject matter experts, generating executive messaging and creating content across multiple channels. "As part of our AI-powered transformation, we are committed to offering our employees tools that help them move with greater speed, agility, and efficiency," said Cindy Stoddard, Intel's senior vice president and chief information officer. Google Cloud said the partnership combines Intel's engineering expertise with its agentic AI capabilities to create autonomous workflows that accelerate chip development and enterprise operations. Beyond workplace AI, Intel will also expand its use of Google Cloud's C4 and N4 cloud instances to supplement its on-premises computing resources, enabling engineering teams to run more high-performance computing simulations simultaneously and reduce semiconductor development times. The announcement builds on the companies' long-standing collaboration, including previous efforts to optimize next-generation AI infrastructure.