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 (IBM) announced a research collaboration with Siemens to advance the design and manufacturing capabilities needed for its nanostack transistor architecture.
The companies aim to develop design, simulation and lithography techniques for current and future generations beyond the 7 angstrom node. IBM demonstrated the architecture's viability earlier this year, but additional advances are needed to prepare it for manufacturing and production at scale.
IBM (IBM) has been selected for Stage C, the third phase of DARPA's Quantum Benchmarking Initiative, moving into independent hardware testing.
IBM completed the first two stages, which assessed technical concepts, research and development plans, and risk mitigation approaches. Stage C's independent experts will test hardware and evaluate engineering and architectures to determine whether IBM can build a fault-tolerant quantum computer, designed to operate despite errors. IBM expects to deliver its first such system, IBM Quantum Starling, in 2029. DARPA's program seeks to determine whether a system whose computational value exceeds its cost can be built by 2033.
IBM (NYSE: IBM) will discuss its third-quarter 2026 financial results during a quarterly conference call on October 21, 2026. The call starts at 5:00 p.m. ET, with a live webcast at www.ibm.com/investor. The earnings press release will be available on the investor website before the webcast. A replay, associated charts and prepared remarks will be available after the event.
IBM (NYSE: IBM) announced IBM Ready for SAP Solutions to help midsize and fast-growing organizations modernize enterprise resource planning systems.
The offering combines IBM consulting expertise with SAP Cloud ERP and is designed to unify enterprise data and support future AI initiatives. Client Volumetric Building Companies reduced operational cycle times by 50% following a three-month transformation. Second Nature Brands completed a transformation that integrated its acquired Voortman Bakery business onto a common enterprise platform. Availability is currently limited to specific countries and industries; IBM plans to expand into additional industries and markets globally.
IBM (IBM) and Red Hat have identified and remediated more than 400 previously unknown vulnerabilities in widely used Java libraries.
The Lightwell initiative also backported fixes, adapting them for older software versions. Lightwell Clearinghouse is now generally available, allowing enterprise customers to submit specific open source dependencies for priority review and remediation. Fixes are delivered through secured repositories that connect with existing IT processes.
IBM (NYSE: IBM) elected Frank Baker, co-founder and managing partner of Siris Capital Group, to its board, effective October 1, 2026. Baker oversees Siris' portfolio and leads its investment strategy. He previously served as a managing director at Ripplewood Holdings and began his career in mergers and acquisitions at Goldman Sachs.
IBM (IBM) introduced self-hosted deployment for IBM Bob, bringing its AI software development platform to infrastructure controlled by customers.
The option supports on-premises, private-cloud, sovereign-cloud and air-gapped environments, which are isolated from external networks. It allows organizations to keep source code, application context and data within their own infrastructure. Enterprises can run supported models they have licensed on premises or connect to supported external model services through hybrid configurations. IBM says the option is designed for organizations requiring greater control over data residency, security policies and AI governance.
IBM (NYSE: IBM) published a global study finding that 62% of surveyed CFOs have expanded into technology or AI strategy leadership. Among 1,500 respondents, 56% reported greater portfolio-management and capital reallocation authority, while 54% had more responsibility for business-model or growth strategy design.
Only 6% described finance as transformation-ready, with AI consistently embedded into workflows and decision-making at scale. Another 42% reported AI-fluent teams capable of scaling AI. By 2030, 56% expect greater responsibility for designing financial and ethical AI guardrails.
Organizations led by CFOs classified as AI-first achieved revenue growth rates 23% higher relative to peer organizations from 2022 to 2024 and approved funding for new AI initiatives 15% faster. The study includes a CFO playbook covering strategy, AI governance and capital allocation.
IBM (IBM) announced beta connectivity to Swift's shared ledger and an on-premises Digital Asset Haven beta on September 24, 2026.
The ISO 20022 Messaging Adapter lets institutions instruct tokenized deposit transactions on Swift's blockchain-based shared ledger using existing payment messages. Participating IBM clients can move digital assets around the clock ahead of final settlement through existing systems. Institutions in Swift's program have tested tokenized deposits on the ledger with Digital Asset Haven. Swift's ledger is being piloted by 17 first-mover institutions.
The on-premises option runs in clients' data centers on IBM Z or IBM LinuxONE without depending on public cloud infrastructure. It keeps the solution and key management layers within the client's environment.
Marist University and IBM (IBM) have launched a new Innovation Incubator featuring an on-campus IBM z17 mainframe to expand AI-driven research and student career preparation across disciplines.
The incubator’s initial projects include AI-driven marketing experiments using autonomous agent teams, quantum optimization research for real-time financial portfolio management, and AI applications to improve polling methodologies and voter participation modeling. The initiative extends a 50-year Marist–IBM partnership from enterprise computing into a university-wide AI and digital innovation ecosystem that connects students, faculty researchers, and IBM experts, giving students hands-on experience with enterprise-scale technology designed for high performance, security, and reliability.