IBM (IBM) on Solana

IBM commissioned Morning Consult to survey 20,589 sports fans across 12 countries in June 2026, finding that digital experience expectations are rising even as subscription fatigue grows. Forty-six percent of respondents report higher digital expectations than one to two years ago, while 39% say managing multiple streaming subscriptions is a frustration — rising to 46% among Gen Z. AI adoption among sports fans climbed from 52% to 69% year-over-year, though trust in AI-generated sports content edged down slightly from 63% to 59%, with accuracy cited as the top driver of trust. Seventy-five percent of fans expect their sports viewing habits to change within the next two to three years.

The research, released through IBM's Sports and Entertainment Partnerships division, highlights a fan appetite for consolidation: 47% would download a centralized sports app, and 40% value having information in one place. IBM VP Kameryn Stanhouse emphasized that fans want reliable, connected digital experiences that eliminate app-switching. Sports creator influence emerged as a significant finding — 49% of fans follow sports creators, and 70% of those followers say creators shape their views on fashion, music, and technology.

IBM has divested a significant portion of its global blockchain patent portfolio to Circle Internet, in a deal announced August 20, 2026. The transaction covers more than 680 patent families and nearly 1,000 issued patents; financial terms were not disclosed. The move marks a notable exit by IBM from an area it invested in heavily during the enterprise blockchain boom of the late 2010s.

Circle said it intends to use the intellectual property to strengthen its position across stablecoins and blockchain infrastructure and to support future products. Circle shares rose approximately 6% in pre-market trading on August 21, climbing from $83.66 to $88.70, with analysts characterizing the acquisition as a technology investment that broadens Circle's competitive moat rather than a purely financial transaction.

IBM and OpenAI announced a strategic partnership aimed at helping enterprises deploy AI across core business operations including finance, procurement, customer operations, and HR. IBM joins OpenAI's Elite partner tier and will build out industry-specific solutions for financial services, government, telecommunications, and retail, combining OpenAI models such as GPT-5.6 and Codex with IBM Consulting Advantage and IBM Autonomous Security. The collaboration also covers application modernization, pairing OpenAI Codex and ChatGPT Work with IBM's legacy-systems expertise to accelerate software development cycles.

On the security front, IBM's Autonomous Security platform will be integrated with OpenAI's frontier AI through the OpenAI Daybreak Cyber Partner Program, targeting cyber threat response and AI model risk management at machine speed. IBM will stand up a dedicated OpenAI Practice staffed by thousands of consultants and engineers certified through the OpenAI Partner Network, including forward-deployed units working directly with clients. Andy Baldwin of IBM characterized the core challenge as integrating AI "securely and at scale into complex enterprise environments," while OpenAI's Denise Dresser framed the partnership around helping organizations make AI a trusted operational layer rather than a standalone tool.

UniCredit has announced a long-term technology collaboration with Accenture and IBM in which Accenture will acquire IBM's majority stake in a joint venture that currently operates a significant portion of the Italian bank's technology infrastructure across thirteen European markets. The transaction restructures IBM's relationship with UniCredit rather than ending it: IBM transitions from co-owner of the technology operating entity to a multi-year supplier of IBM Z mainframe infrastructure, software, and consulting services.

IBM's Senior Vice President and EMEA Chair Ana Paula Assis described the shift as an "enhanced collaboration" that combines IBM's technology capabilities with UniCredit's hybrid cloud architecture. The arrangement is consistent with IBM's broader strategic direction of ceding direct infrastructure operations to system integrators like Accenture while positioning itself as a hybrid cloud and AI enablement layer for large enterprises — retaining a consulting and platform supply role in a major European banking transformation even as it exits the operational joint venture.

IBM has recovered 10.6% from its post-earnings low of $211.15 to trade near $233, though it remains down more than 20% year-to-date following a July earnings miss and an open securities fraud inquiry into pipeline disclosures. The miss was narrow — EPS of $2.93 against expectations of $2.97 — but infrastructure revenue fell 7.4% and mainframe revenue dropped 42%, raising questions about execution beyond the software segment.

The bull case rests on IBM's software division, which accounts for 45% of revenue, carries 80% recurring revenue, and grew its GenAI book past $12.5 billion since inception. At a forward P/E of 19 and a 2.86% dividend yield from a 31-year streak of increases, 23 analysts carry an average target of $244 — modest upside that analysts say warrants patience until the fraud inquiry resolves and mainframe trends stabilize, with software growth near 10% cited as a key re-rating trigger.

IBM CEO Arvind Krishna gave investors a concrete timeline this week, saying quantum computing will have "a measurable impact on our top line and bottom line" by 2028 or 2029, and that the technology will represent a trillion dollars of value by the end of the 2030s. The comments came alongside a joint announcement with startup Algorithmiq demonstrating quantum advantage through error-mitigated quantum simulation — showing IBM's quantum hardware outperforming classical computers on specific computational tasks in a verifiable way. Krishna highlighted use cases in battery development, advanced materials, fusion energy, and pharmaceutical discovery as the near-term commercial targets for quantum-powered breakthroughs.

The earnings timeline is notable context for IBM investors still processing the stock's historic 25% plunge earlier this month following a disappointing earnings report. IBM has backed the quantum build-out with a standalone chip foundry supported by $1 billion from the U.S. Department of Commerce's CHIPS program and a matching $1 billion from IBM itself. Krishna's 2028–2029 window places quantum's earnings contribution roughly three years out — relatively near-term for a technology that competitors including Google and Rigetti are also racing to commercialize.

IBM and quantum software company Algorithmiq have jointly demonstrated quantum advantage on a problem that classical computers cannot reliably solve — simulating information propagation through a heterogeneous quantum material relevant to real-world applications such as catalysts and battery electrolytes. Eight months after the results were published on IBM's Quantum Advantage Tracker, no classical method has produced comparable results across the full problem regime studied, establishing a concrete benchmark for practical quantum supremacy.

The more significant contribution may be methodological: the team developed a framework for trusting quantum computation even when no classical system can independently verify the output. By deliberately manipulating circuit noise, running experiments across multiple IBM Quantum processors, and applying unbiased error mitigation with quantified uncertainty, they established a blueprint for scientific discovery in regimes where classical verification is impossible. The open-sourcing of their classical simulation tool "monoprop" invites independent researchers to challenge future quantum advantage claims, reinforcing IBM's positioning as the credibility anchor for enterprise quantum computing in materials science, pharmaceuticals, and industrial research.

IBM's 2026 Cost of a Data Breach Report, conducted by the Ponemon Institute across 602 organizations, found that 25% of malicious breaches were AI-enabled — a 56% jump year-over-year — and these attacks averaged $6 million in costs, roughly $1 million above the global average. The report highlighted deepfake impersonation and AI-enabled malware as the primary vectors, with 62% of AI-driven attacks targeting critical infrastructure. Despite the growing threat, 25% of organizations surveyed have yet to adopt AI or automation tools for security defense, even as organizations using such tools cut breach costs by nearly $2 million on average.

The findings reinforce IBM Security's positioning in the enterprise threat-detection market. Suja Viswesan, VP of IBM Security Software, framed the dynamic as one where AI is simultaneously lowering attack costs while raising remediation expenses, arguing for faster discovery-to-response cycles. With over 20% of respondents reporting breaches targeting AI models or applications, and elevated interest in security spending among organizations exposed to advanced AI capabilities, IBM's security software segment stands to benefit from widening demand — particularly as its hybrid cloud and AI strategy continues to emphasize security tooling as a core layer.

Following IBM's historic single-day stock plunge after a July 14 earnings preannouncement, CEO Arvind Krishna went on the offensive on the company's Q2 earnings call, insisting the strategy itself is sound. "Our AI strategy is the right one for IBM, and aligns to what we are known for: hybrid sovereignty and trust," Krishna said, attributing the miss to execution shortfalls rather than a flawed direction. He separately claimed that only about 2% of IBM's software is replaceable by AI-generated code — positioning the rest of the portfolio as infrastructure that helps enterprise customers adopt AI rather than compete against it — a framing designed to counter the narrative that IBM faces existential disruption from the same technology it champions.

Q2 results showed revenue of $17.2 billion (in line with revised estimates), but software growth decelerated sharply to 5% from 11% in Q1 and infrastructure sales fell 7%, prompting IBM to lower its full-year constant-currency revenue growth guidance to 4–5% from a prior "more than 5%" target. CFO Jim Kavanaugh said cost-cutting targets will exceed $5.5 billion in annualized savings to protect operating leverage and fund continued R&D across three strategic pillars: hybrid cloud, AI, and quantum computing. For investors, the key question is whether Krishna's "execution not strategy" framing is credible given decelerating software growth in the segment that was supposed to be the primary AI beneficiary.

IBM has agreed to acquire HRL Laboratories, a research firm jointly owned by Boeing and General Motors that specializes in silicon-spin qubit engineering. HRL's work spans quantum computing, quantum sensing, high-speed communications, and advanced materials science, with clients across both commercial and U.S. government sectors. Financial terms were not disclosed; the deal is expected to close by the end of Q3 2026, subject to regulatory approval. Boeing and General Motors will retain quantum application partnerships with IBM after the transaction closes.

IBM Research Director Jay Gambetta said the HRL team will help IBM "push even farther forward towards the frontiers of quantum innovation." The acquisition is intended to accelerate IBM's efforts to industrialize quantum sensing and advance materials research for semiconductor performance, and will enable closer integration with IBM's quantum wafer foundry operations.