2025年人工智能价值报告-中端市场组织对AI投资回报率抱有高期望（英文版）_22页_4mb

Avanade Trendlines: AI Value Report 2025 Summary

Core Content

The Avanade Trendlines: AI Value Report 2025 explores the current state and future expectations of AI adoption in mid-market organizations. It highlights the growing enthusiasm for AI investments, the challenges in measuring AI value, and the critical need for responsible AI practices to ensure ethical and effective implementation.

Main Views and Key Insights

1. High Hopes for AI ROI

• 84% of organizations believe AI investments aim to replace employees to save costs.
• 60% will make AI a top IT priority in the next 12 months.
• 53% expect to increase budgets for generative AI by up to 25%.
• Organizations anticipate a fourfold ROI within 12 months, though this is still largely unmeasured.

2. Focus on Productivity and Cost Savings

• Productivity gains and operational improvements are the primary metrics used to measure AI value.
• Only 9% measure AI ROI based on headcount reduction.
• There is a disconnect between the desire for cost savings and the actual measurement of such outcomes.

3. AI as a Proactive Team Member

• AI is transitioning from being a passive tool to a proactive member of the team, working alongside employees.
• Leadership is beginning to recognize AI's role in enhancing collaboration and decision-making.

4. The Need for Speed vs. AI Foundations

• 85% of organizations are concerned about falling behind if they do not accelerate AI adoption.
• Healthcare and front-office functions (like sales and marketing) show the highest urgency.
• Despite this, 90% have accelerated IT modernization and cloud adoption, but people and data readiness remain key challenges.

5. Challenges in AI Implementation

• 81% of organizations use AI in an out-of-the-box or function-specific manner, indicating a lack of cohesive strategy.
• 79% plan to increase investment in AI training and fluency.
• 77% are focusing on change management to support AI integration.

6. Responsible AI and Trust

• Only 39% of mid-market organizations have complete RAI guidelines in place.
• 26% fully trust AI outputs, down from 48% in the previous year.
• 96% plan to fine-tune or retrain AI models by the end of 2025 to ensure they forget unethical or biased data.

7. Socio-Emotional Impact of AI

• 40% of employees feel confident in their organization’s ability to manage emotional and social dynamics of human-AI collaboration.
• Cultural and contextual differences affect trust in leadership, with Japan showing the least confidence (29%) and Brazil the most (60%).

8. Measuring AI Performance

• 28% currently measure AI contributions, while 53% plan to do so in the next 12 months.
• Top measurement methods include improved processes, decision accuracy, and revenue growth.
• C-suite and board members are more likely to give AI an "A Grade" for performance.

9. AI and Decision Making

• 96% of organizations use AI to make decisions, with 29% trusting it with high-risk decisions.
• There is a tension between trust in AI and concerns about data quality.
• 85% of leaders are worried about employees being uninvolved in AI decision-making processes.

Key Actions for Organizations

• Develop RAI guidelines to ensure ethical and reliable AI usage.
• Focus on AI training and change management to support workforce readiness.
• Implement data governance and secure data platforms to ensure AI tools are effective and trustworthy.
• Plan for long-term AI integration to balance speed with strategic depth.
• Address socio-emotional concerns by fostering employee confidence and collaboration with AI.

Conclusion

The report underscores the ambition and urgency of AI adoption in mid-market organizations, while highlighting the gaps in understanding, measurement, and ethical considerations. Organizations are moving quickly but must ensure they are not sacrificing long-term value and trust in the process. The future of AI in the workplace will depend on a strategic approach that balances innovation with responsibility and human-centric values.