Introduction: Navigating a Complex 2026 Landscape
As businesses prepare for 2026, a recent study by the IBM Institute for Business Value reveals a landscape marked by volatility, cautious optimism, and increasing pressure to accelerate AI and quantum computing adoption. Drawing insights from over 1,000 C-suite executives and 8,500 employees and consumers, the report highlights key trends shaping enterprise strategies for the upcoming year.
Optimism Amid Economic Uncertainty
While just about one-third of executives remain optimistic about the global economy, a significant majority—over 80%—express confidence in their organizations’ performance prospects for 2026. This confidence is driving a willingness to make faster decisions and redesign operating models to leverage emerging technologies effectively.
Trend 1: Agentic AI as a Strategic Asset
Agentic AI, characterized by autonomous AI agents capable of making decisions, is poised to become a central tool for leadership teams. Most executives report that AI agents are already contributing to business outcomes. For agentic AI to transition from experimental to operational status, the report emphasizes several prerequisites:
- Real-time data architecture enabling near-instant insights rather than periodic reporting.
- Seamless integration of AI agents with core enterprise systems such as ERP, CRM, and supply chain platforms.
- Clear governance on decision-making authority, distinguishing which tasks AI can autonomously handle, which require human oversight, and which must remain fully human-led.
Trend 2: Employee Attitudes Towards AI and Training
Employees generally view the pace of technological change as manageable and are optimistic about adapting to new AI tools. Twice as many employees favor increased AI integration in the workplace, recognizing its potential to automate repetitive tasks and foster skill development. The report aligns with KPMG research indicating broad employee support for AI.
Executives anticipate a substantial reskilling demand, projecting that at least half of the workforce will require new skills by the end of 2026 due to AI-driven automation. Skills in problem-solving, creativity, and innovation are particularly valued, echoing findings from Deloitte and other studies. Notably, employees indicate a willingness to change employers to access superior training opportunities, highlighting the strategic importance of skills development in talent retention.
Trend 3: Customer Expectations on Data Transparency
Consumer trust in how brands utilize AI and data is increasingly critical for product and service success. Customers expect transparency regarding data usage, clear disclosure when AI is involved in interactions, and straightforward options to opt in or out. While consumers tolerate occasional errors, they reject opaque practices. Leaders are advised to treat transparency as a key product feature and prioritize explainable AI models to meet these expectations.
Trend 4: The Rise of AI Sovereignty and Local Data Provision
AI sovereignty—the control and governance of AI systems, data, and infrastructure—has become a central concern in enterprise resilience planning. Nearly all surveyed executives plan to incorporate AI sovereignty into their 2026 strategies. Growing apprehension over data residency and cloud jurisdiction, especially regarding reliance on foreign cloud services, is prompting organizations to rethink where AI models operate and where data is stored.
Advisory firm Accenture recommends developing sovereign AI strategies that emphasize control, transparency, and choice. Key actions include adopting portable AI platforms, vigilant monitoring for data compliance, and ensuring the physical location of data aligns with regulatory and strategic requirements. Ultimately, AI resilience depends on an organization’s ability to maintain operational continuity and transparency amid shifting geopolitical and technological landscapes.
Trend 5: Strategic Planning for Quantum Advantage
Quantum computing is nearing a phase of targeted experimentation, with early quantum advantage expected in specialized domains such as optimization and materials science. IBM’s quantum readiness research advises enterprises to identify a select few high-impact quantum use cases and engage early with innovation ecosystems to share costs and accelerate development.
The report encourages companies to make strategic bets on emerging technologies, including quantum computing, to secure competitive advantages and foster collaborative innovation.
Conclusion
IBM’s comprehensive analysis underscores the multifaceted challenges and opportunities enterprises will face in 2026. Embracing agentic AI, fostering workforce reskilling, maintaining transparent data policies, ensuring AI sovereignty, and preparing for quantum computing advancements are critical to thriving in an increasingly complex technological environment.
Fonte: ver artigo original
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