Welcome to our dedicated page for International Business Machines news (Ticker: IBM), a resource for investors and traders seeking the latest updates and insights on International Business Machines stock.
International Business Machines Corporation develops enterprise technology across software, consulting, hardware, hybrid cloud, artificial intelligence and quantum computing. News from IBM centers on AI platforms and services, including watsonx, IBM Enterprise Advantage, IBM Consulting Advantage, IBM Sovereign Core, watsonx Orchestrate and Red Hat technologies for hybrid and regulated environments.
Recurring updates also cover IBM Consulting client work, industry and cloud collaborations, research milestones in quantum-centric supercomputing, AI-enabled application experiences, and IBM Institute for Business Value studies on enterprise adoption and governance of AI.
IBM (NYSE: IBM) announced a next-generation dual-architecture processor for future IBM Z and LinuxONE systems, designed to run both IBM and Arm® operating systems and applications on the same cores. Built on a 2 nm node, it features 11+ cores at over 5.7 GHz, AI inference accelerators, an on-chip data processing unit for I/O, and large caches to support demanding enterprise workloads.
IBM (NYSE: IBM) released its 2026 IBM Sports Intelligence Report, based on more than 20,000 surveyed sports fans across 12 countries, highlighting rising expectations for digital sports experiences. 46% say their expectations are higher than 1–2 years ago, and digital viewing is now nearly on par with linear broadcast, with 30% favoring subscription streaming versus 29% choosing linear TV.
AI usage among respondents rose from 52% to 69% year over year, while trust in AI-generated sports content is at 59%, down from 63%. Accuracy is key: 44% prioritize highly accurate information over speed, and 45% cite accuracy as the top driver of trust in AI insights.
Sports apps play a central role, with 72% using them and 74% trusting them for accurate information. 47% would likely download a centralized sports app, but only 29% would pay. Among app users, 40% value having information in one place, 35% rely on real-time updates, and 30% report increased use of live stats and analytics. Fans also transact via apps, including buying tickets (33%), ordering food or beverages (30%), and purchasing merchandise (29%).
IBM (NYSE: IBM) and the United States Tennis Association announced new and enhanced AI-powered fan experiences for the 2026 US Open on USOpen.org and the official app. Features include a personalized Live Updates homepage, an AI-driven Serve Quality metric, expanded Key Moments insights, and an upgraded Match Chat assistant.
Serve Quality uses limb-tracking technology and IBM Confluent to analyze 21 body and racquet data points, generating roughly 1.2 billion data points across 254 singles matches. Match Chat, powered by watsonx Orchestrate and AI agents trained in USTA’s editorial style, now integrates text, photos and video for richer context.
IBM (NYSE: IBM) announced it has successfully connected and cooled two modular cryogenic quantum systems into a single ultra-cold environment, a key step toward scaling quantum computers. The new box-shaped architecture, using L-coupler technology, is designed to link hundreds of quantum chips and underpins IBM’s roadmap to deliver the IBM Quantum Starling fault-tolerant quantum computer in 2029.
IBM (NYSE: IBM) announced a strategic partnership with OpenAI to help enterprises deploy AI at scale across core operations while enhancing cybersecurity. According to IBM, the joint go-to-market collaboration embeds OpenAI frontier models such as GPT-5.6, Codex, and ChatGPT Work into IBM Consulting Advantage, its AI delivery platform.
IBM will create forward-deployed units of specialized engineers and consultants trained via the OpenAI Partner Network and launch a dedicated OpenAI Practice with thousands of certified professionals. The partnership focuses on transforming legacy workflows, modernizing applications and product development, and combining OpenAI models with IBM Autonomous Security and OpenAI Daybreak to manage cyber and AI model risk. IBM will also join OpenAI’s Elite partner tier.
IBM (NYSE: IBM) signed a multi-year $240 million agreement with Together AI to deploy a large cluster of NVIDIA HGX B300 systems on IBM Cloud, targeted for availability in Q1 2027. Together AI will use this first large-scale, dedicated inference cluster on IBM Cloud, featuring NVIDIA Spectrum-X Ethernet networking, to deliver open-source model inference for enterprises. According to NVIDIA, the setup is built to provide up to 30x more AI factory output versus prior generations, aiming to improve performance and token economics for large-scale AI workloads.
IBM (NYSE: IBM) and Red Hat announced a program to provide Lightwell, their AI-driven open source vulnerability remediation service, at no charge to over 185 leading U.S. research universities and 100 major NGOs and think tanks. Eligible institutions gain access to a library of remediated, digitally signed and validated open source dependencies tailored to the software versions they already run, without sharing proprietary code, data or research.
Launched in May 2026 with a $5 billion commitment and more than 20,000 engineers, Lightwell has expanded from 6,500 to over 8,000 validated and remediated package versions, including fixes for 64 previously undisclosed vulnerabilities. IBM and Red Hat plan to begin onboarding eligible institutions in August 2026, building on collaborations with major global banks and technology partners.
IBM (NYSE: IBM) and Algorithmiq announced a joint demonstration of quantum advantage using an IBM Quantum Heron processor to simulate a heterogeneous quantum material in a regime that is difficult for leading classical methods. According to the companies, eight months after inclusion in the Quantum Advantage Tracker, no classical approach has reliably reproduced results across the full problem range.
The partners also introduced a framework for trusted quantum computation beyond classical verification, based on controlled noise manipulation, cross-device execution, and unbiased error mitigation with quantified uncertainty. Algorithmiq is open-sourcing monoprop, its best classical method for simulating molecular ground states, as a benchmark to independently test future quantum advantage claims.
IBM (NYSE: IBM) and Qedma Quantum Computing reported a breakthrough study showing trusted, error-mitigated quantum computation surpassing leading classical simulations, including those run on the Fugaku supercomputer. By combining IBM quantum computers, powered by the Heron processor, with Qedma’s QESEM error reduction software, researchers modeled long-lived quantum dynamics in systems up to 74 qubits.
The work explored a two-dimensional Floquet Ising model and found consistent, long-time oscillatory behavior where multiple classical methods disagreed. Results were cross-validated with RIKEN, BlueQubit, and Quantinuum hardware and uploaded to IBM’s Quantum Advantage Tracker to enable community benchmarking.
IBM (NYSE: IBM) and the University of Chicago demonstrated a quantum computation that meets core criteria for quantum advantage, solving a classically intractable sampling problem in about 15 minutes while enabling verification of result fidelity, according to IBM.
The team used a novel encoded circuit construction with error correction to run 70 logical qubits, 2,415 logical two-qubit operations and 468 logical T gates, achieving logical error rates about ten times lower than physical error rates and one of the largest logical quantum computing demonstrations to date.