Navigating the Future: Insights from the IBM Institute for Business Value on AI and Quantum Computing in 2026
As we step into 2026, enterprise leaders find themselves grappling with a complex landscape characterized by volatility, optimism, and an urgent call to accelerate their approach to artificial intelligence (AI) and quantum computing. A recent paper from the IBM Institute for Business Value, based on insights from over 1,000 C-suite executives and 8,500 employees and consumers, sheds light on the emerging trends that will shape the business environment in the coming year.
- A Mixed Outlook for 2026
- Trend 1: Agentic AI as a Strategic Asset
- Trend 2: Emphasis on Employee Training and Accepting AI
- Trend 3: Customers Demand Accountability in Data Policies
- Trend 4: Local Provisioning of AI and Cloud Services
- Trend 5: Preparing for Quantum Advantage
- Explore More at AI & Big Data Expo
A Mixed Outlook for 2026
Despite a global economic atmosphere that has roughly one-third of executives feeling pessimistic, a striking four out of five leaders express confidence in their own organizations’ performance. This optimistic outlook is accompanied by a commitment to faster decision-making and a willingness to redesign operating models. For employees, the sentiment toward AI is largely positive, indicating a readiness to embrace technology’s role in their workdays. Conversely, consumers are poised to scrutinize brands closely, responding favorably or unfavorably based on how their data is utilized.
Trend 1: Agentic AI as a Strategic Asset
A significant trend for 2026 is the rise of agentic AI, which is increasingly viewed as a crucial tool for organizational growth. Current insights reveal that most executives already benefit from AI agents in their decision-making processes. For these tools to thrive, the following conditions are essential:
- Updated Data Architecture: It should offer near real-time insights rather than relying on periodic reporting.
- Integration with Core Systems: Access to essential platforms like ERP, CRM, and supply chain systems is vital for AI agent effectiveness.
- Operational Transition: Organizations need to shift agentic AI from an experimental phase to an operational necessity.
Leaders are tasked with discerning which decisions can be automated or delegated to AI, and which require human oversight, thus defining new workflows.
Trend 2: Emphasis on Employee Training and Accepting AI
A notable finding from the report is that employees feel prepared for the rapid technological changes impacting their roles. In fact, twice as many employees express a desire to embrace AI rather than resist it, viewing it as a means to eliminate tedious tasks and acquire new skills.
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Executives predict that the upcoming years will demand significant re-skilling efforts, with at least half of the workforce requiring training in advanced areas by the end of 2026, driven predominantly by AI advancements. Essential skills will include problem-solving, creativity, and innovation. Furthermore, opportunities for professional growth are becoming a pivotal factor in employee retention, encouraging firms to prioritize skill development.
Trend 3: Customers Demand Accountability in Data Policies
Executives understand that consumer trust in AI applications will significantly impact the market success of new products and services. Consumers have shown a willingness to overlook minor errors but are intolerant of lack of transparency.
Key consumer expectations include:
- Clear explanations of how their data is used.
- Awareness of AI involvement in customer interactions.
- Easy mechanisms to opt in or out of data sharing.
This call for transparency necessitates that brands treat it as a product feature and choose models that prioritize explainability, reinforcing a trust-based relationship with consumers.
Trend 4: Local Provisioning of AI and Cloud Services
AI sovereignty, or the ability to govern AI systems, data, and infrastructure, is now at the heart of resilience strategies. The significance of local data residency and cloud jurisdiction has prompted executives to consider where their models operate and where their data is stored.
The findings suggest that organizations are increasingly cautious about reliance on foreign cloud services, particularly those based in the US. Advisory firms like Accenture advocate for developing sovereign AI strategies that emphasize control and transparency. Essential actions include ensuring portable AI platforms, monitoring data compliance, and focusing on the geographical location of sensitive data.
Trend 5: Preparing for Quantum Advantage
The landscape of quantum computing is evolving towards practical experimentation in 2026, with expected advantages emerging in specialized areas like optimization and materials science. IBM’s research points to the necessity of identifying a limited number of impactful quantum applications within enterprises.
For those aiming to leverage quantum technology, it is recommended to:
- Identify promising domains for early quantum advantage.
- Collaborate within ecosystems to share innovative costs.
- Make strategic bets on emerging technologies, with a focus on outcomes.
AI and quantum computing are not only revolutionizing the technological foundations of businesses but are also shaping their strategic trajectories in the competitive market.
Explore More at AI & Big Data Expo
For those interested in delving deeper into the realms of AI and big data, the upcoming AI & Big Data Expo across locations such as Amsterdam, California, and London promises invaluable insights from industry leaders. This event is part of TechEx and will be held alongside other significant technology gatherings, including the Cyber Security Expo.
Stay ahead of the curve in your enterprise’s journey towards adopting AI and quantum computing.
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