2025全面AI_驱动代理型未来的引擎研究报告_12页_620kb

Everything AI: Summary

Core Content

"Everything AI" is a report from the IDC FutureScape 2026 event, held in Singapore on November 14, 2025, which outlines the trajectory of AI adoption and evolution in the Asia-Pacific and Japan (APJ) region. The report highlights the growing integration of AI into business processes and the emergence of Agentic AI as a transformative force, driven by the convergence of different AI technologies and the need for ethical governance and risk management.

Main Views

1. Agentic AI and Composite AI

• Agentic AI is becoming a central component of workflows and platforms, combining Prescriptive AI, Predictive AI, and Generative AI.
• By 2026, 65% of APJ organizations will adopt Composite AI, which integrates multiple AI technologies to create more robust and flexible systems.
• Composite AI is expected to redefine traditional job roles, requiring a shift in human skills and work practices.

2. Agents and People

• By 2026, 25% of A2000 job roles will involve working with AI agents, leading to changes in job structures, careers, and organizational hierarchies.
• AI agents are transforming work practices, jobs, and careers, while also flattening organizations and promoting collaboration between humans and AI.

3. AI Agent Fleets

• By 2026-2027, Agent2Agent connections will drive the development of highly distributed and resilient AI infrastructures.
• However, autonomy is constrained by Sovereign AI principles, ensuring alignment with ethical and regulatory standards.

4. AI and Risk

• Alignment, Trust, Accountability, and Control are essential for realizing the full value of AI agents.
• By 2027, 40% of APJ enterprises will replace siloed AI oversight with unified governance, leading to faster innovation and competitive advantage.
• By 2030, 15% of A1000 organizations may face lawsuits, fines, and CIO dismissals due to inadequate AI governance.

5. AI GRC (Governance, Risk, and Compliance)

• AI GRC teams are critical for managing the risks and ensuring ethical use of AI.
• The report emphasizes the need for regulatory frameworks, real-time risk monitoring, and autonomous audit trails.

Key Information

AI Adoption Trends

• By 2028, 75% of organizations will modernize their legacy cloud environments to support AI-specific platforms.
• AI assistants (2024-2025) are LLM-centric, deployed across cloud and on-premise locations, and support rapid innovation and human-AI collaboration.

AI Workloads and Platforms

• New AI workloads and operations are emerging, requiring new AI platforms and infrastructures.
• Hybrid to Edge infrastructures are being optimized for AI workloads, with a focus on scalability, real-time processing, and cloud integration.

AI Opportunities

• Consultants and managed services are key enablers for enterprise AI adoption.
• Data tools and platforms are evolving to support autonomous data pipelines, real-time orchestration, and multi-source integration.
• AI Ops and infrastructure are driving autonomous operations, incident prevention, and edge-to-cloud orchestration.

Conclusion

The report underscores the shift from traditional AI to Agentic AI, emphasizing the need for composite AI systems that combine different AI technologies to deliver greater value. It also highlights the increasing role of AI agents in reshaping the workforce and organizational structures, while stressing the importance of ethical governance, risk management, and compliance to ensure responsible AI deployment. As AI becomes more integrated into business operations, the focus will be on building scalable, secure, and adaptable AI infrastructures to support future growth and innovation.