2026年五大趋势_以确定性拥抱不确定性_28页_2mb

2026 AI and Quantum Trends Summary

Core Content Overview

This document outlines five key trends that will shape the business landscape in 2026, focusing on the evolving role of AI and quantum computing in enterprise strategies. It also highlights the importance of leadership, employee engagement, and customer trust in navigating these changes.

Key Trends and Insights

Trend 1: Uncertainty will be your greatest asset—if you embrace it

• Overview: In a volatile environment, uncertainty is not a threat but an opportunity. Leaders who embrace it can anticipate and profit from market shifts.
• Executive Perspective:
  • 74% of executives believe economic and geopolitical volatility will create new business opportunities in 2026.
  • 81% of executives say geopolitical and economic issues threatened their technology investments in 2025.
  • Agentic AI enables faster, more informed decision-making and resource reallocation, helping organizations stay agile.
  • 69% of executives say they need agentic AI simulation and modeling capabilities.
• Action: Rewire the organization for rapid response by redesigning structures, data architecture, and AI agent authority.

Trend 2: Employees will want more AI—not less

• Overview: Employees across all age groups are enthusiastic about AI integration in the workplace.
• Employee Sentiment:
  • At least twice as many employees would embrace AI use by employers in 2026.
  • 61% of employees expect their job roles to change significantly due to AI.
  • 48% of employees say they would be comfortable being managed by an AI agent.
  • 56% of employees are willing to switch employers or take a pay cut for better AI training.
• Skills Demand:
  • Problem-solving and innovation are the most valued skills in AI-driven environments.
  • Executives emphasize the need to reskill employees and place strategic value on non-technical competencies.
• Action: Create a roadmap for emerging roles, focusing on areas where AI cannot replace human judgment and build AI literacy across all levels.

Trend 3: Customers will hold your AI accountable

• Overview: Transparency and trust are critical in AI customer engagement.
• Consumer Expectations:
  • 89% of consumers want to know when they're interacting with AI.
  • 56% of consumers accept AI flaws if the technology is cutting-edge and valuable.
  • 80% of consumers would trust a brand less if AI's involvement is concealed.
  • 67% would switch brands, and 50% would pay more for transparency.
• Best Practices:
  • Be transparent about AI usage and data handling.
  • Provide clear explanations of AI decision-making and allow customers control over their data.
• Action: Make customers lab partners by involving them in AI trials and improving trust through transparency.

Trend 4: Global AI resilience will require a local safety net

• Overview: AI resilience depends on local control and data sovereignty.
• Executive Concerns:
  • 93% of executives say AI sovereignty must be part of their 2026 strategy.
  • 50% worry about over-dependence on compute resources in certain regions.
  • 75% of executives at chip-buying organizations cite dependence on a narrow pool of semiconductor vendors as a strategic challenge.
• Challenges:
  • Data and model drift, regulatory compliance, and geopolitical risks threaten AI performance.
• Action: Solidify AI safeguards by designing flexible, secure, and transparent systems with local data and governance.

Trend 5: Quantum advantage will demand strength in numbers

• Overview: Quantum computing is set to provide significant advantages by the end of 2026.
• Quantum Readiness:
  • Quantum-ready organizations are three times more likely to belong to multiple ecosystems.
  • Ecosystem integration accelerates technology adoption and improves business outcomes.
• Ecosystem Benefits:
  • 79% of executives say ecosystem partners help speed up quantum adoption.
  • 77% believe ecosystem data improves business results.
• Action: Prepare for breakthroughs by partnering with complementary organizations and leveraging shared data and compute resources.

Main Points

• Adaptability: Organizations must embrace uncertainty and agility to thrive in a rapidly changing environment.
• AI Adoption: Employees are more open to AI than executives expect, with a strong appetite for AI-driven transformation.
• Customer Trust: Transparency and explainability are key to maintaining consumer confidence and trust in AI systems.
• AI Resilience: Local data control and sovereignty are essential for AI resilience, especially in the face of global disruptions.
• Quantum Ecosystems: Quantum advantage requires collaboration across multiple ecosystems to access the necessary data and resources.

Key Information

• Research Methodology: The findings are based on surveys of 1,028 C-suite executives and 8,500 global consumers and employees.
• Data Sources: IBM Institute for Business Value (IBV) and Phronesis for executive insights; Suzy for consumer and employee feedback.
• Executive Survey: Spanning 20 major industries, with a median annual revenue of USD9.2 billion.
• Consumer Survey: Focuses on full-time employees, with 71% having a basic to strong understanding of AI.

Conclusion

The 2026 business landscape will be defined by AI and quantum computing. Organizations that embrace uncertainty, invest in employee reskilling, ensure customer transparency, build local AI resilience, and collaborate within quantum ecosystems will be best positioned to succeed.