【IBM】2025年趋势报告以人为本的人工智能激发创新28页_2mb

2025 AI Trends Summary

Core Content

The document outlines five key trends that will shape the AI landscape in 2025, focusing on how leaders can effectively leverage agentic AI, manage technical debt, adapt to location-driven strategies, and rethink IT budgeting. It emphasizes the need for strategic reskilling, governance, and a shift in mindset to align with the rapid pace of AI innovation.

Main Points

1. Agentic AI and the Need for Reskilling

• Agentic AI enables autonomous decision-making and problem-solving, transforming workflows and redefining what it means to lead.
• 87% of executives expect jobs to be augmented, not replaced, by generative AI.
• 35% of the global workforce needs reskilling in 2024, up from the usual 5%.
• Only 22% of executives believe their organizations have integrated AI knowledge into professional development plans.
• 64% of CEOs say AI success depends more on people's adoption than the technology itself.
• 47% of executives report that employees lack the knowledge and skills to implement and scale AI effectively.
• Action Required: Launch educational initiatives, mandate AI skills training, and create a culture where AI proficiency is non-negotiable.

2. Technical Debt and Infrastructure Challenges

• Technical debt is increasing due to suboptimal decisions made to accelerate AI adoption.
• 55% of executives say technical debt is a major obstacle to achieving business goals.
• Only 25% of executives strongly agree that their IT infrastructure can support enterprise-wide AI scaling.
• 16% of tech leaders are confident their current cloud and data capabilities can support generative AI.
• Action Required: Identify missing architectural components, align AI business cases with modernization costs, and prioritize long-term ROI.

3. Location as a Strategic Factor

• Location strategies are being redefined by AI and global market dynamics.
• 96% of executives expect data privacy, security, and regulations to determine where they operate in 2026.
• 93% of executives expect AI to impact their location strategy in 2026.
• 89% of executives say they are widening their global reach while focusing on a few core markets.
• Action Required: Stress-test strategies for global instability, innovate through volatility using hybrid cloud and open AI, and ensure regulatory preparedness.

4. Rapid Pivot to AI and Self-Funding

• Generative AI has disrupted traditional IT budgeting, leading to budget cannibalism.
• 75% of business leaders now view gen AI as an innovation investment, not traditional IT.
• 71% of executives believe gen AI should be self-funded to justify its investment.
• Only 29% of gen AI spending is directed toward growth-driving business functions.
• Action Required: Unify infrastructure, invest in high-growth potential projects, and own the open-source advantage.

5. AI Innovation and Business Model Evolution

• AI product and service innovation is the #1 CEO goal, but many organizations are struggling to adapt their business models.
• 63% of executives expect their AI portfolio to have a material financial impact in the next one to two years.
• CEOs cite business model innovation as the top challenge over the next three years.
• Action Required: Bridge the gap between vision and reality, stress-test your strategy, and innovate through volatility.

Key Insights

• Agentic AI is transforming workflows, but its success hinges on employee reskilling and strategic governance.
• Technical debt is a growing concern, with infrastructure modernization being critical to support AI at scale.
• Location is becoming a strategic priority, influenced by data regulations, regulatory preparedness, and market dynamics.
• IT budgeting is shifting toward self-funding models, with a focus on growth potential and ROI.
• Business model innovation is essential to fully leverage AI’s potential for product and service development.

Conclusion

To succeed in the AI-driven future, leaders must prioritize people-centric strategies, infrastructure upgrades, and global location awareness. They should also rethink IT budgeting and business model evolution to ensure long-term competitiveness and sustainable growth.