Sun 1 Nov 2026 International edition

Consumer Electronics and Gadgets

Intel CEO Lip-Bu Tan Explores Potential Collaboration with AMD’s Lisa Su Amid Strategic Turnaround and Foundry Ambitions

The semiconductor landscape is witnessing a subtle yet profound shift in competitive dynamics as Intel Chief Executive Officer Lip-Bu Tan confirms discussions regarding potential cooperation with Advanced Micro Devices (AMD) CEO Lisa Su. While neither executive has officially disclosed the specific initiatives or commercial arrangements being considered, the dialogue underscores a growing pragmatic approach between the two historic x86 rivals. As Intel navigates a comprehensive corporate turnaround centered on customized processors, bleeding-edge semiconductor manufacturing, and external foundry contracts, leadership is actively looking to reinforce its market position through both internal restructuring and strategic industry alignment.

Existing foundations for cooperation between Intel and AMD provide a logical baseline for whatever future partnerships may emerge from these high-level executive talks. For years, the two companies have coordinated on fundamental processor standards and artificial intelligence software frameworks to ensure broader ecosystem stability. A notable milestone in this cooperative history occurred in October 2024, when Intel and AMD joined forces alongside other major technology stakeholders to establish the x86 Ecosystem Advisory Group. This initiative was designed to streamline architectural compatibility across x86 processors, making it significantly easier for software developers to optimize applications for products from both manufacturers without compromising their fierce retail and enterprise competition.

Beyond foundational hardware standards, the technological synergy between Intel and AMD has increasingly spilled over into the artificial intelligence sector. AMD notably integrated its ZenDNN optimizations directly into Intel’s open-source oneDNN library, facilitating enhanced CPU-based PyTorch inference performance for developers. Furthermore, both firms have collaborated on Advanced Matrix Extensions (AMX) and other advanced x86 capabilities. These prior engagements demonstrate that despite intense market rivalry, both companies recognize the strategic necessity of preserving the relevance and competitiveness of the x86 architecture against emerging threats from ARM-based designs and accelerated computing paradigms.

During a recent discussion with Jimmy Cheng, President of the Chinese American Semiconductor Professional Association, Lip-Bu Tan elaborated on his aggressive roadmap to revitalize Intel’s core processor operations. Reclaiming undisputed leadership in the CPU market remains a central pillar of Tan’s executive mandate. Emphasizing a pivot toward bespoke engineering, Tan noted that the company is heavily tailoring its silicon to meet distinct, evolving customer requirements rather than forcing the market to adopt rigid, pre-designed architectures. Describing this pivot as a rapidly expanding segment of the semiconductor business, Tan affirmed that Intel is doubling and tripling down on custom processor solutions to capture high-value enterprise and hyperscale clientele.

At the core of Intel’s multi-pronged turnaround strategy is its ambitious foundry business, Intel Foundry, which presents another compelling, albeit unconfirmed, vector for potential collaboration with AMD. Although neither company has verified whether AMD intends to leverage Intel’s manufacturing facilities for chip production, the prospect highlights the evolving nature of the foundry market. Tan provided updates on Intel’s manufacturing nodes, confirming that the highly anticipated 18A process technology has officially entered volume production. Simultaneously, development is pressing forward on the next-generation 14A manufacturing process, a critical milestone for Intel’s long-term competitive viability against pure-play foundries like Taiwan Semiconductor Manufacturing Company (TSMC).

Intel and AMD could be about to work together on a mystery project — CEO Lip-Bu Tan hints at future co-operation,…

The rollout of Intel’s 14A technology is following a structured timeline. The company has already released version 0.5 of its 14A process design kit (PDK), with version 0.9 anticipated prior to the final release of version 1.0, which is targeted for volume production in early 2027. Early indicators of customer adoption are beginning to materialize; in January, prospective clients were already evaluating 14A test chips. Industry analysts expect definitive commercial supplier decisions from these early evaluators to lock in during the second half of 2026 and the first half of 2027. While Tan refrained from identifying specific clients or disclosing the monetary volume of potential orders, he noted that several major players are eager to diversify their manufacturing supply chains through Intel’s foundry services.

Securing customer confidence remains the single greatest hurdle for Intel Foundry as it attempts to position itself as a reliable alternative to entrenched Asian foundries. Modern fabless chip designers operate on razor-thin product development schedules and demand absolute manufacturing predictability, meaning any historical misstep by Intel carries magnified psychological weight. Highlighting the rigor of his customer-first approach, Tan recounted an instance where a prospective client waited six to eight months for him to assume the CEO role before presenting a comprehensive list of 15 distinct operational areas where Intel had previously fallen short. According to Tan, Intel systematically resolved every single complaint to the client’s satisfaction, ultimately securing an expanded business relationship. This anecdote serves as a clear signal to the wider semiconductor industry—including potential partners like AMD—that leadership is prioritizing total accountability and execution quality.

Beyond traditional CPUs and foundry services, Tan’s overarching growth strategy incorporates several high-margin technology pillars. These include application-specific integrated circuits (ASICs), co-packaged optics, advanced packaging technologies, and physical AI solutions. Internal corporate projections anticipate that at least two or three of these specialized business segments will individually scale to contribute approximately 10% of Intel’s total corporate revenue in the coming years. By diversifying away from a pure reliance on client PCs and traditional data center servers, Intel is attempting to insulate its financial performance against cyclical downturns while capturing emerging high-growth sectors.

The broader implications of potential cooperation between Intel and AMD, coupled with Intel’s aggressive foundry push, could fundamentally reshape the global semiconductor supply chain. For decades, the narrative between Intel and AMD has been defined by zero-sum competition for market share in client computing and enterprise servers. However, as the capital expenditures required to develop leading-edge semiconductor nodes skyrocket—with sub-2nm nodes costing billions of dollars in R&D and fabrication equipment—even fierce rivals are finding common economic incentives to cooperate on ecosystem preservation and manufacturing efficiencies.

If AMD were to eventually utilize Intel Foundry nodes, it would represent a historic paradigm shift in the semiconductor industry, blurring the lines between competitor and client in a manner similar to how Apple and Samsung maintain a complex web of fierce smartphone competition alongside massive supply chain interdependence. Even short of foundry outsourcing, deeper alignment on software optimizations, AI frameworks, and architectural standards ensures that the x86 ecosystem can mount a unified defense against the relentless march of alternative architectures. As Lip-Bu Tan continues to execute his customer-centric turnaround, the coming months will likely reveal whether these high-level discussions with Lisa Su translate into formal technological alliances that redefine the future of modern computing.

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