"AI Bubble" Panic Strikes Again, Wall Street Envisions AI Computing Power Chain Counterattack, "Mother of Chips" EDA May Become New Anchor Point
The EDA software field, known as the "mother of chips," will become one of the more logical and stable investment themes in AI compared to many targets within the industry chain, with lower capital expenditure and a more solid growth outlook, when the next round of the AI computing power industry chain rebounds or recovers.
Wall Street's renowned investment firm Stifel recently released a study report stating that EDA super giant Cadence (CDNS.US) announced an expansion of its cooperation with Intel Corporation's chip foundry division (Intel Foundry) to accelerate the progress of Intel Corporation's 14A advanced chip manufacturing process technology optimization in the next two years. This cooperation is seen as an "incremental positive" for the electronic design automation company.
Furthermore, Stifel also mentioned that the EDA software sector, known as the "mother of chips," will be one of the more logically certain, low capital expenditure, and fundamentally stable investment themes when the AI computing industry chain rebounds or undergoes upward repair compared to most targets in the industry chain.
With the possibility of SpaceX's record-breaking IPO potentially draining market liquidity and the resurgence of the "AI bubble" leading to a temporary correction in the global AI computing industry chain dominated by GPU, ASIC, CPU, AI server integration, and storage, Stifel has significantly raised Cadence's target price from $395 to $432 and maintained a "buy" rating. The core bullish logic is that the increasing complexity of AI chips will continue to raise the value of design, verification, IP, reference flows, and advanced node synergies, thus contributing to sustained cash flow for the two EDA super giants and driving performance growth.
As of Tuesday's closing of the US stock market, Cadence's stock price was $390.90, up over 25% since the beginning of the year, outperforming the S&P 500 index but significantly underperforming the Philadelphia Semiconductor Index, known as a "leading indicator for chip stocks." In its latest research report, Stifel reiterated its "buy" rating on Cadence and raised its 12-month target price from $395 to $432, implying a very optimistic outlook for Cadence's stock price in the next 12 months according to Stifel analysts.
Cadence, along with Synopsys, Inc., the two EDA super giants, dominate the EDA software market, known as the "operating system for chip design, verification hub, and manufacturing approval infrastructure," and serve as the "first infrastructure" for all advanced node chips in the AI computing chain from concept to mass production. This is why they are referred to as the "mother of chips." Without EDA, modern advanced chips cannot rely on manual completion of logic design, wiring, timing, power, heat, reliability, and yield constraints for billions of transistors. Without validated PDKs, standard cell libraries, IP modules, simulators, formal verification, and physical sign-off tools, even grand chip design blueprints cannot be reliably and mass-produced by foundries.
Synopsys, Inc. and Cadence, the two EDA leaders, have deeply integrated "AI application tools/AI intelligent agents" into their EDA software ecosystems since the global popularity of ChatGPT in 2023, with a recent focus on "full-stack AI+EDA platforms." For example, Synopsys, Inc.'s Synopsys.ai covers AI-driven processes from system architecture to design, verification, testing, and manufacturing.
Intel Corporation's 14A foundry turnaround is a crucial battle, and Cadence secures a foothold in the chip foundry ecosystem
Stifel analyst Ruben Roy wrote in a research report to clients, "We believe that the latest collaboration announcement with Intel Corporation has significant incremental positives for Cadence from multiple aspects: (1) It validates the strategic value of Cadence's AI-based tools and design IP solutions in emerging advanced chip processes; (2) It expands Cadence's coverage in Intel Corporation's foundry business and is critical for Intel Corporation's ambition to catch up to Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR for the 14A technology; (3) There is potential to further expand its position in Intel Corporation's future chip design system (compared to Synopsys, Inc., Cadence's share is still relatively low in these opportunities); and (4) It brings longer-term revenue growth visibility and complements Cadence's growing order backlog."
In this research report, analyst Roy raised Cadence's target price from $395 to $432 and continued to give the stock a "buy" rating.
In addition to the positive impact on Cadence's performance fundamentals growth prospects, Roy believes that the 14A advanced chip manufacturing node is "crucial" for Intel Corporation because Intel is seeking to gain more competitive market share in the global foundry market against Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR (TSM.US) and Samsung Electronics.
Roy added, "We have repeatedly pointed out that we believe Intel Corporation's progress in 14A technology represents a major potential milestone for Intel Corporation to reestablish its leadership in chip manufacturing processes globally and attract a significant number of more important external customers without fabs (such as Apple Inc., AMD, Broadcom Inc., and NVIDIA Corporation, etc., fabless chip design giants)." "Early EDA software ecosystem locks - PDK certification, reference flows, design IP - often have high stickiness and are more long-term and deeply customized in nature."
The importance of the collaboration between Cadence and Intel Corporation foundry lies not in "signing an ordinary EDA software order," but in tapping into the early ecosystem lock-in of Intel's potential advanced manufacturing node turnaround.
According to Cadence's official announcement, the long-term Design Technology Co-Optimization (DTCO) collaboration with Intel will focus on optimizing Intel 14A tools, processes, and methodologies to enhance performance, power, and area (PPA), and drive the landing of production-grade PDKs, AI-driven EDA processes, and design IP solutions. For Intel Corporation, 14A is crucial for its ability to reattract external fabless customers to the global foundry market; for Cadence, once early PDK certification, reference flows, and design IP introductions are completed for a given advanced node, customer follow-up chip projects often have strong path dependency and long-term stickiness. The so-called "incremental positive" by Stifel refers to this long-term revenue growth visibility, rather than just short-term financial flexibility, emphasizing that if Intel 14A gains strong traction, Cadence is expected to continue to capture incremental EDA/IP spending.
The revered EDA software, known as the "mother of chips," is also actively embracing AI.
From an investment standpoint, the unique feature of EDA is that it serves as the "front entrance" of the AI computing industry chain: GPU, ASIC, HBM controllers, Chiplet advanced packaging, custom AI accelerators, data center network chips/high-performance CPUs, all have to complete architecture exploration, logic synthesis, physical implementation, timing convergence, power optimization, formal verification, sign-off, and manufacturing co-optimization before entering the fab.
Unlike AI servers, HBM, foundry manufacturing, and manufacturing chains, EDA does not need to bear massive fab or data center capital expenditures but can continuously generate strong cash flow from the increasing chip complexity, advanced node migration, system-level design, and AI-assisted design efficiency gains. Cadence's own fundamentals support this logic: the company's revenue in the first quarter of 2026 was approximately $1.474 billion, higher than the strong $1.242 billion in the same period last year, and it disclosed a record backlog of $8 billion, while raising its 2026 revenue outlook to a year-on-year growth of about 17% to 20%.
This revenue structure of "EDA software subscription + IP licensing + advanced node binding" often receives a defensive premium compared to pure hardware high-beta stocks during market panics, and, during the upswing of the AI computing chain, it is more logically certain, with lower capital expenditure and more stable growth prospects compared to most targets in the industry chain.
According to Stifel senior analyst Roy, when the market transitions from AI bubble panic back to industry fundamentals, EDA is likely to become an important theme in the upcoming wave of AI computing industry chain resurgence. The logic behind this is not short-term speculative trading but the industrial closed-loop of "AI chip complexity increase - advanced nodes and Chiplet/packaging co-optimization - design verification cost surge - AI intelligent agents + EDA ecosystem efficiency enhancement - EDA/IP revenue visibility enhancement."
Synopsys, Inc. focuses on building a "full-stack AI EDA + GenAI assistant" ecosystem with Synopsys.ai + Copilot. From DSO.ai/VSO.ai/TSO.ai to Ansys system simulation, all are being AI-ized - that is, using Synopsys.ai as the overall AI+EDA brand to create a "full-stack AI-driven EDA suite." The official positioning of Synopsys.ai full-stack EDA suite is as "the industry's first full-stack AI-driven EDA suite covering everything from system architecture to manufacturing," with features covering AI-driven chip design process optimization, proprietary data analysis, and platformized generative AI capabilities, spanning front-end chip design, back-end implementation, verification, simulation processes, and ultimate testing.
Cadence's initiatives in "AI+EDA" are similar to Synopsys, Inc., with recent launches of the JedAI data and AI platform supporting a range of AI tools (such as Verisium, Cerebrus, Voltus InsightAI, ChipGPT), emphasizing the use of a unified data foundation to connect the verification/implementation engines in multiple rounds efficiently in large-scale SoC projects. In particular, the concept verification of ChipGPT's LLM assistant has been implemented in customer PoCs: dialogic collaboration and knowledge retrieval from specification to design based on LLM, which Cadence claims can significantly shorten the cycle from specification to finished product in partnership with customers like Renesas.
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