Enterprise 2030 Despite this uncertainty, investment is accelerating: respondents predict that AI investment will surge approximately 150% between now and 2030. At the same time, 68% of executives surveyed worry their AI efforts will fail due to lack of integration with core business activities.
"AI won't just support businesses, it will define them," said Mohamad Ali, Senior Vice President, IBM Consulting. "By 2030, the companies that win will weave AI into every decision and operation. They will own powerful AI assets, move faster than competitors, bring innovations to market quickly, and deliver real, measurable business results using technology and automation."
The global study*, based on insights from 2,000 C-suite executives, shows that AI is emerging as a critical driver of enterprise growth through 2030. The findings suggest that future success will come from making bolder strategic bets, even as many surveyed executives face a gap between expectations and outcomes. Key findings include:
Executives are looking beyond AI efficiency to drive future gains
While nearly half (47%) of AI spend is now focused on efficiency, respondents expect 62% of AI spend will be dedicated to innovation by 2030. 64% of surveyed executives believe that by 2030, competitive advantage will come from innovation rather than resource optimization. 70% of surveyed executives plan to reinvest the value from AI-powered productivity gains into growth initiatives. Respondents expect AI to boost productivity by 42% by 2030, with 67% expecting to capture most AI-enabled productivity gains by then.Competitive advantage will depend on the right technology bets
While most surveyed executives (57%) say their competitive advantage will come from AI model sophistication, only 28% have a clear view of what AI models they'll need by 2030. 82% of respondents expect their AI capabilities to be multi-model by 2030, and 72% expect small language models (SLMs) to surpass large language models (LLMs). Surveyed organizations scaling AI across multiple workflows, using smaller, custom and foundation AI models, anticipate 24% greater productivity gains and 55% higher operating margins by 2030. While 59% of respondents say quantum-enabled AI will transform their industry by 2030, only 27% expect to be using quantum computing by then — a gap that underscores opportunity for organizations that are prepared to act today.AI is redefining leadership and the skills that matter most
By 2030, executives surveyed expect 25% of enterprise boards will have an AI advisor or co-decision maker, and 74% say AI will redefine leadership roles across the enterprise, with two-thirds believing AI will create entirely new leadership roles. Meanwhile, 67% of respondents say job roles are becoming shorter-lived, 57% expect most current employee skills to be obsolete by 2030, and 67% agree mindset will matter more than skills. In addition, 67% of surveyed executives expect AI to eliminate the resource and skills constraints that hold their organization back today. For AI-first organizations, analysis shows they are 48% more likely to create net-new jobs roles and 46% more likely to redesign their organizational structure to achieve more AI value.The study provides a roadmap for business leaders on how to turn AI-first ambitions into measurable outcomes. To view the full study, visit: https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/enterprise-2030
As part of the study, senior executives shared their perspectives on how technology is reshaping strategy, operations, and workforce priorities. See addendum below.
*Study MethodologyThe IBM Institute for Business Value, in cooperation with Oxford Economics, gathered insights from 2,007 senior executives on how they expect their organizations to evolve between 2025 and 2030. The survey was conducted across 33 geographies and 20 industries during the third and fourth quarters of 2025. The survey explored strategic priorities, including AI-first operations, the integration of advanced AI models into products and services, workforce transformation, and readiness for emerging technologies like quantum computing.
The IBM Institute for Business Value, IBM's thought leadership think tank, combines global research and performance data with expertise from industry thinkers and leading academics to deliver insights that make business leaders smarter. For more world-class thought leadership, visit: www.ibm.com/ibv. To receive more insights, subscribe to the IdeaWatch newsletter: https://ibm.co/ibv-ideawatch.
About IBMIBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Thousands of government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM's long-standing commitment to trust, transparency, responsibility, inclusivity, and service. Visit www.ibm.com for more information.
Media ContactMarisa ConwayIBM Corporate Communicationsconwaym@us.ibm.com
Executive Perspectives:
"The capabilities that transcend any particular job will remain very important: decision-making, judgment, strategy, collaboration skills, intuition, clarity of thought. Those things will become even more necessary in a world where you can delegate a lot of the underlying work to an agent." — Aaron Levie, CEO and Co-Founder, Box
"Quantum will never stand alone. Classical computing, AI, and quantum must work together in connected workflows." — Dr. Thomas Eckl, Chief Expert, Bosch
"AI's future isn't about bigger models. It's about smarter integration with people and processes." — Jinesh Dalal, Head and VP, Technology Development, C-Metric
"We'll need more problem solvers who understand both the business and the models—people who can marry technical capability with business insight. That's the future of every company, including ours." — Umang Dharmik, SVP and Head of IT, Mercedes-Benz Research Development India (MBRDI)
"We're the first women's soccer league in the world to implement a video assistant referee. We know that AI is going to unlock tremendous efficiency and effectiveness to reduce or potentially even eliminate some of the human error that happens around the calls that happen on the field." — Jessica Berman, Commissioner, National Women's Soccer League
"By 2030, insight will be everywhere. Interfaces will be radically different, and AI will act as the business intelligence system, decision engine, and a participant in operations." — Chad Gates, Managing Director, Pronto Software
"The entire C-suite should always be asking, 'How can we disrupt the market? How can we leverage disruption to our competitive advantage by reinventing the what's next and where are we going?'" — Maureen Power Sweeny, Chief Revenue Officer, RapidScale
IBM Corporation logo.
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