International Business Machines Corp (IBM) stock price, news and key stats

Price

Last trade as of Sep 16, 2026. Delayed data; not a live quote.

Previous close

$248.40

Open

$240.38

Day range

$235.48 – $243.24

Volume

241K

52-week range

$199.19 – $332.46

Market cap

$224B

Forward P/E

18.0

Dividend yield

272.00%

Beta

0.71

Avg. volume

8.8M

Analyst target

$245.35

Next earnings

Oct 21, 2026

About International Business Machines Corp

From the company's latest annual report (Form 10-K).

Latest IBM news

• Anderon, an IBM Company, Finalizes Agreement with the U.S. Department of Commerce for a $1 Billion CHIPS Award to Accelerate R&D for U.S.-Based Pure-Play Quantum Foundry
  IBM Newsroom · Sep 16, 2026

  Anderon LLC, a subsidiary of IBM, has secured a significant $1 billion award from the U.S. Department of Commerce under the CHIPS and Science Act. This funding is aimed at accelerating research and development for the establishment of the first stand-alone quantum chip foundry in the United States. The initiative is part of a broader government strategy to bolster domestic semiconductor manufacturing and maintain technological leadership in quantum computing. The establishment of this quantum foundry is expected to enhance the U.S. supply chain for advanced semiconductor technologies, particularly in the rapidly evolving field of quantum computing. By investing in domestic capabilities, the U.S. government aims to reduce reliance on foreign suppliers and foster innovation within the country. This move could have significant market implications, potentially positioning Anderon as a key player in the quantum computing landscape and attracting further investments in the sector. As the U.S. government takes equity stakes in various quantum computing firms, including IBM, the financial landscape for technology companies may shift, encouraging more public-private partnerships. This could lead to increased competition and innovation in the quantum space, ultimately benefiting industries reliant on advanced computing technologies.

• Tokenization: Companies now know the cost of AI—but can’t measure the value
  Blockchain Finance · Sep 16, 2026

  As companies increasingly adopt artificial intelligence (AI) technologies, they are becoming acutely aware of the costs associated with implementation and maintenance. However, a significant challenge remains: quantifying the value generated by these investments. This disconnect is particularly pronounced in sectors where AI's impact is difficult to measure, leading to a growing debate among executives and stakeholders about the return on investment (ROI) of AI initiatives. The rise of tokenization in the blockchain space is emerging as a potential solution to this dilemma. By converting assets into digital tokens, organizations can create more transparent and traceable value chains, which may help in assessing the effectiveness of AI applications. Tokenization allows for real-time data tracking and analytics, providing companies with better insights into how AI is influencing operational efficiency and profitability. As firms explore this intersection of AI and blockchain, they may find innovative ways to not only manage costs but also to better articulate the value derived from AI-driven strategies. Market implications are significant, as companies that successfully measure and communicate the value of their AI investments could gain a competitive edge. Investors are increasingly looking for firms that can demonstrate clear metrics of success, and those that leverage tokenization may be better positioned to attract funding and partnerships. As the technology landscape evolves, the ability to quantify the benefits of AI through tokenization could reshape investment strategies and drive further innovation in both fields.

• ‘The end of the keyboard is near’: Christian Klein predicts voice translation will be the next workplace advantage
  Fortune · Sep 16, 2026

  Christian Klein, CEO of SAP, has made a bold prediction regarding the future of workplace technology, suggesting that voice translation capabilities will soon surpass traditional keyboard input as the primary means of communication in professional environments. Klein's assertion highlights a growing trend toward more intuitive and efficient methods of interaction, driven by advancements in artificial intelligence and natural language processing. As companies increasingly adopt these technologies, the implications for productivity and collaboration could be significant. The shift towards voice translation could reshape various sectors, particularly those reliant on global communication. Businesses that embrace this technology may gain a competitive edge by streamlining workflows and reducing language barriers, thus fostering a more inclusive work environment. Moreover, as organizations invest in voice recognition tools, there could be a ripple effect on software development and tech stocks, particularly for firms specializing in AI and communication technologies. As the market adapts to these changes, companies that lag in adopting voice translation may find themselves at a disadvantage. The potential for increased efficiency and reduced operational costs could drive further investment in AI-driven solutions, making it essential for businesses to evaluate their technological strategies in light of Klein's predictions. The end of the keyboard, as suggested, may not just be a technological shift but a fundamental transformation in how work is conducted in the digital age.

• Fed up with AI interviews, some job seekers are dropping out as candidates and blacklisting companies from consideration
  CNBC · Sep 15, 2026

  A growing number of job seekers are opting out of the application process due to dissatisfaction with AI-driven interviews, which lack human interaction. This trend is emerging even as the labor market remains competitive, with many candidates expressing concerns over the impersonal nature of automated assessments. Some candidates are actively blacklisting companies that rely solely on AI for interviews, viewing it as a barrier to authentic engagement and a potential indicator of a company culture that undervalues personal connection. The implications for employers could be significant, particularly for those in industries heavily reliant on technology for recruitment. Companies may face challenges in attracting top talent if they do not adapt their hiring processes to include human elements. As candidates prioritize workplaces that foster genuine interaction, organizations may need to reassess their reliance on AI tools to ensure they remain competitive in attracting skilled professionals. This shift could lead to a reevaluation of recruitment strategies across various sectors, emphasizing the importance of a balanced approach that incorporates both technology and human insight.

• Why a decade of doomsday warnings failed to slow the AI race
  Guardian Business · Sep 15, 2026

  Despite a decade of escalating doomsday warnings from prominent figures like Stephen Hawking and recent high-profile resignations, the race to develop artificial intelligence (AI) continues unabated. Concerns about the potential existential risks posed by AI have not deterred investment or innovation in the sector. Instead, the urgency to harness AI's capabilities for economic growth and competitive advantage has intensified, with companies and governments pouring resources into research and development. The implications for the market are significant. As firms prioritize AI advancements, the technology sector is witnessing an influx of capital, driving up valuations and fostering a competitive landscape. This relentless pursuit is evident in the soaring stock prices of AI-related companies, which have outperformed broader market indices. Moreover, the potential for AI to disrupt various industries—from healthcare to finance—has led to a reevaluation of traditional business models, prompting organizations to adapt or risk obsolescence. While ethical considerations and regulatory frameworks are increasingly being discussed, the momentum behind AI development shows little sign of slowing. Investors remain optimistic, betting that the benefits of AI will outweigh the risks, a sentiment that is likely to shape the trajectory of the technology landscape for years to come. As the dialogue around AI safety continues, the market's focus remains firmly on innovation and the transformative potential of these technologies.

• Trump tells Americans not to ‘kill the golden goose’ rejecting voters’ turn against AI and data centers
  Fortune · Sep 14, 2026

  Former President Donald Trump has urged Americans to reconsider their opposition to artificial intelligence (AI) and data centers, warning that such sentiments could jeopardize economic growth. Speaking at a recent rally, Trump characterized the burgeoning tech sector as the "golden goose" of the U.S. economy, emphasizing the importance of innovation and investment in technology to maintain the country's competitive edge. His remarks come amid growing public concern over the implications of AI on jobs and privacy, which have led some voters to express skepticism about the rapid expansion of data centers and AI technologies. Trump's defense of the tech industry highlights a critical tension in the current economic landscape, where the promise of AI-driven productivity gains is countered by fears of job displacement and ethical considerations. As businesses increasingly rely on AI to enhance efficiency, the potential for economic disruption raises questions about the future of the labor market. Market analysts suggest that Trump's stance could resonate with investors looking for stability in tech stocks, particularly as companies navigate regulatory challenges and public sentiment. The ongoing debate over AI's role in society may influence policy decisions and investment strategies, making it essential for stakeholders to engage with both the opportunities and risks presented by this transformative technology.

• AI market outlook: two fears, two very different verdicts
  Market Outlook · Sep 14, 2026

  The artificial intelligence (AI) market is currently navigating a complex landscape characterized by contrasting fears and divergent forecasts. On one hand, concerns about regulatory scrutiny and ethical implications are mounting, particularly as governments worldwide grapple with the rapid integration of AI technologies into various sectors. This apprehension has led to calls for stricter oversight, which could potentially stifle innovation and slow down the pace of AI adoption. Analysts warn that excessive regulation might hinder the competitive edge of companies that are heavily investing in AI research and development. Conversely, a more optimistic outlook emerges from the robust growth projections for the AI sector, driven by increasing demand for automation and enhanced data analytics capabilities across industries. Major tech firms are doubling down on AI investments, with expectations that advancements in machine learning and natural language processing will unlock new revenue streams and efficiencies. Market analysts predict that the global AI market could reach trillions of dollars in value over the next decade, suggesting that while regulatory challenges exist, the underlying demand for AI solutions remains strong. The divergence in sentiment reflects a broader uncertainty in the market, where investors are weighing the potential for significant returns against the risks posed by regulatory actions. As companies continue to innovate and adapt, the ability to navigate these fears will be crucial in shaping the future trajectory of the AI market. Stakeholders are advised to monitor developments closely, as the balance between fostering innovation and ensuring responsible use of AI will ultimately dictate market dynamics in the coming years.

• Trump Administration Moves to Integrate A.I. Into Medical Care Despite Concerns
  NYT Business · Sep 14, 2026

  The Trump administration is moving aggressively to weave artificial intelligence into the American health care system, pressing federal health agencies, hospitals, and insurers to adopt AI tools for clinical care, administrative work, and drug development even as patient advocates and some medical experts warn the technology is being deployed faster than safeguards can be built. The effort spans the Department of Health and Human Services, the Centers for Medicare and Medicaid Services, and the Food and Drug Administration, and aligns with the White House's broader deregulatory approach to AI, which has emphasized rapid adoption and rolled back guardrails established under the previous administration. Under the push, health officials have courted major technology companies to modernize patient data systems and develop AI-powered tools, while regulators have signaled a lighter touch on AI-enabled medical devices and software. Proponents within the administration argue that AI could ease physician burnout, cut administrative costs, accelerate drug discovery, and help address rural shortages of medical specialists. Critics, including some Democratic lawmakers, patient safety groups, and physicians, counter that the absence of rigorous validation standards raises the risk of biased algorithms, misdiagnoses, and privacy breaches involving sensitive health data. Lawmakers have also scrutinized insurers' use of AI in claims processing, amid lawsuits alleging algorithms were used to improperly cut off coverage for Medicare Advantage patients. For markets, the policy shift is a meaningful tailwind for the fast-growing health AI sector. Companies developing clinical AI, ambient documentation tools, and AI-driven drug discovery platforms stand to benefit from friendlier regulation and federal encouragement, while electronic health record vendors and cloud providers are positioning to capture demand for AI-ready data infrastructure. Investors are watching for concrete regulatory clarity from the FDA on AI device approvals and from CMS on reimbursement, which would determine how quickly adoption translates into revenue. Still, analysts caution that execution risk is high. A backlash over patient harm, data privacy, or denied claims could trigger congressional intervention and new liability exposure, and health systems remain wary of integrating tools that lack clear clinical evidence. The coming months will test whether the administration can scale AI in medicine quickly enough to satisfy its innovation agenda without provoking the safety and trust concerns that have shadowed the technology's entry into patient care.

• There’s every reason to slow AI development. But here’s why it probably won’t happen.
  MarketWatch · Sep 14, 2026

  Leading figures in the artificial intelligence sector, including prominent tech executives and researchers, have issued urgent calls for a pause in AI development, citing potential existential risks to humanity. This unprecedented warning highlights concerns over the rapid advancement of AI technologies, which some believe could outpace regulatory frameworks and ethical considerations. The appeal for a slowdown comes as AI continues to permeate various sectors, from finance to healthcare, raising questions about safety, accountability, and the long-term implications of autonomous systems. Despite these warnings, the likelihood of a significant slowdown in AI development appears slim. The competitive nature of the tech industry, coupled with the substantial financial incentives associated with AI innovations, creates a powerful impetus for companies to continue advancing their technologies. Major players are racing to capture market share and secure leadership positions, often prioritizing speed over caution. This dynamic is further exacerbated by the growing demand for AI solutions across industries, which fuels investment and accelerates development timelines. Market implications of this ongoing push for rapid AI advancement are profound. Companies that successfully harness AI capabilities stand to gain significant competitive advantages, potentially reshaping entire industries. However, the lack of a coordinated global response to the ethical and safety concerns surrounding AI could lead to regulatory backlash or public distrust, which may ultimately impact market stability. As the debate continues, stakeholders must navigate the delicate balance between innovation and responsibility in the face of an uncertain future.

• The wages of American workers are under pressure. AI's potential role is drawing more attention
  CNBC Tech · Sep 13, 2026

  American workers are facing increasing pressure on their wages, with growth rates failing to keep pace with rising inflation. Recent data indicates that wage increases have stagnated, prompting concerns about the purchasing power of the workforce. As inflation continues to erode real earnings, the conversation around the potential impact of artificial intelligence (AI) on labor markets is gaining traction among economists and policymakers. Proponents of AI argue that the technology could enhance productivity and create new job opportunities, potentially leading to higher wages in the long term. However, skeptics warn that AI may also displace certain jobs, particularly in lower-skilled sectors, exacerbating wage stagnation for those most vulnerable in the labor market. The mixed evidence surrounding AI's impact on employment and wages adds complexity to the discussion, as stakeholders seek to understand how these technological advancements might reshape the economic landscape. Market implications are significant, as businesses increasingly explore AI solutions to improve efficiency and reduce costs. This trend could lead to a bifurcation in the labor market, where high-skilled workers benefit from AI integration while low-skilled workers face greater job insecurity. Investors are closely monitoring these developments, as the balance between technological advancement and wage growth will play a crucial role in shaping consumer spending and overall economic health in the coming years.

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