QUALCOMM INC/DEQCOM

Qualcomm completed acquisition of Modular Inc to create open software foundation for generative and agentic AI.

“—Completed Acquisition of Modular Inc Creating an Open Software Foundation for Generative and Agentic AI—”

Qualcomm acquired Modular to strengthen software foundation for generative and agentic AI across environments.

“Modular. On July 28, 2026, we completed the acquisition of Modular Inc (Modular). Modular provides an open, AI-native software platform that enables AI to run efficiently across hardware architectures. The acquisition of Modular is expected to strengthen the software foundation for generative and agentic AI across data center and edge environments. The transaction values Modular at approximately $ 3.1 billion based on the closing price of Qualcomm stock on the acquisition date, with consideration transferred consisting primarily of 18 million shares issued of our common stock. This included 4 million shares with an estimated fair value of approximately $ 700 million that were issued to certain executives and are subject to a four-year service requirement post-acquisition, of which a portion will be recognized as compensation expense and the remaining amount included as a component of the purchase price. Due to the timing of the acquisition, it is not practicable to disclose the preliminary allocation of the purchase price to the assets acquired and the liabilities assumed.”

Qualcomm states the rise of AI agents is reshaping its roadmap across platforms.

““We are pleased to deliver results in line with our guidance, reflecting solid execution as we navigate a challenging memory environment,” said Cristiano Amon, President and CEO of Qualcomm Incorporated. “We are in a period of profound industry transformation — the rise of AI agents is reshaping our roadmap across every platform we develop. We are equally excited by our entry into the data center, where a leading hyperscaler custom silicon engagement is on track for initial shipments later this calendar year. We look forward to providing an update on our growth initiatives, including opportunities in Data Center and Physical AI, at our Investor Day on June 24.””

Qualcomm lists the rise of AI agents as a forward-looking industry transformation in its risk factors.

“In addition to the historical information contained herein, this news release contains forward-looking statements that are inherently subject to risks and uncertainties, including but not limited to statements regarding: industry transformation, including the rise of AI agents and the impact thereof on our roadmap; our entry into and opportunities in the data center, including our custom silicon engagement with a leading hyperscaler; our expectation that we will realize our existing federal deferred tax assets; the impact of memory supply constraints and related pricing on demand from handset OEMs, including our expectations regarding QCT handset revenues from Chinese customers in the third quarter and beyond; and our estimates and guidance related to revenues and earnings per share (EPS). Forward-looking statements are generally identified by words such as “estimate,” “forecast,” “guidance,” “expect,” “anticipate,” “intend,” “plan,” “believe,” “seek” and similar expressions. Actual results may differ materially from those referred to in the forward-looking statements due to a number of important factors, including but not limited to: our dependence on a small number of customers and licensees, and particularly from their sale of premium-tier handset devices; our customers vertically integrating; a significant portion of our business being concentrated in China, which is exacerbated by U.S./China trade and national security tensions; our ability to extend our technologies and”

Qualcomm discusses industry emergence of personal AI devices enabling new agentic AI experiences.

“Artificial Intelligence. Advancements in processor technologies have enabled the distribution and coordination of complex workloads across the cloud and edge devices to provide enhanced performance and efficiency across use cases. Given the proximity to raw data, edge device computing allows for more context-aware processing, reducing response time, improving privacy and security, and enabling greater personalization. With increased processing power, smartphones and PCs are becoming pervasive AI platforms, with complex, large generative AI algorithms running on-device, enabling on-demand and contextual AI use cases at a fraction of the energy required by cloud-based applications. As wireless connectivity complements on-device generative AI, edge devices enable enhanced productivity use cases, while intelligently processing and sharing data with cloud-based applications as needed. Building on the smartphone and PC foundation, we envision AI becoming ubiquitous and evolving as the new user interface, as it continues to expand into industries and applications such as industrial IoT, XR and automotive. Industry momentum is driving the emergence of new personal AI devices, such as smart glasses, earbuds and other wearables, that allow new agentic AI and context-aware experiences. These personal AI devices are expected to evolve independently of the smartphone ecosystem. At the same time, physical and industrial AI are beginning to reshape industries and provide new opportunities f”

Qualcomm notes generative AI models are changing the landscape and evolving agentic AI experiences.

“Significant investment continues across many industries in the development of complex large language models (LLMs), more tailored small language models (SLMs), large vision models (LVMs), large multimodal models (LMMs) and other generative AI models, which are changing the landscape of the user experience. LLMs and SLMs (e.g., GPT-4o and Llama3) are used for text-based natural language processing applications such as answering queries, document summarization and creation; LVMs (e.g., Stable Diffusion and ControlNet) are used for image and video processing; and LMMs are used to understand and process multiple types of data inputs or modalities such as text, images, audio and video. They are disrupting traditional methods of search, content creation, recommendation systems and personalized digital assistants, offering significant enhancements in consumer utility and productivity, changing the human-computer interface and evolving agentic AI experiences. While these generative AI models are developed primarily for use in the cloud, we believe that the variety of innovative enterprise and consumer use cases that have emerged and will continue to emerge from generative AI must run on-device to maximize their utility, and bring the benefits of immediacy, privacy, security and personalization to consumers. We expect continued advancement in the generative AI capabilities of edge devices and increased adoption of generative AI capable technologies in handsets and other edge devices. ”

Qualcomm expects on-device and agentic AI use cases to expand in smartphones.

“AI use in smartphones is increasing, and as we look forward, we expect on-device and agentic AI use cases will continue to expand and reshape the mobile industry. Additionally, consumer demand for new experiences, combined with the needs of mobile operators and device manufacturers to provide differentiated features and services, is driving continued innovation within the smartphone across AI, connectivity, processing, multimedia, imaging, audio and more. As a result, the smartphone continues to be the go-to device for social networking, music and video streaming, photography and video capture, e-commerce, gaming, email, web browsing and more. We believe that the combination of AI and cellular technology (such as 5G) will increasingly enable these experiences to be more immersive, intuitive and interactive.”

Qualcomm states smart glasses and wearables are becoming personal AI devices with agentic AI.

“Consumer. Consumer IoT products, including PCs, XR and other personal computing devices, continue to adopt the latest mobile connectivity, processing and intelligence technologies including on-device AI capabilities. This enables new services, applications and experiences that can be run directly on the device, driving improvements in latency, cost and privacy. For example, AI-focused PCs, including those powered by our Snapdragon X Series platforms, allow for increased productivity and enhanced use cases enabled by on-device AI processing at low power. Additionally, smart glasses and wearables, such as smartwatches, earbuds and other form factors are being transformed into personal AI devices as they transition from simply extending smartphone experiences to providing new and unique personalized AI, connecting the user directly to the AI agent and model.”