2025-01-19-麦肯锡-2025年科技新年决心（英）_12页_895kb

2025 Tech Leadership Summary

Core Content

McKinsey's 2025 technology leadership insights highlight the evolving landscape of tech strategy, talent, and operations. The year is expected to be marked by significant changes due to ongoing technological advancements, geopolitical shifts, and economic pressures. The report emphasizes the need for tech leaders to adapt to these changes by rethinking their roles, investing in human-centric AI, and enhancing business resiliency and productivity.

Main Themes and Key Points

1. Tech Leadership: Questions to Answer in 2025

• Macro Trends: Tech officers should focus on long-term trends like technological change and demographic shifts, alongside immediate changes like regulatory updates.
• Role Evolution: The role of tech leaders is transforming into that of business builders, protectors, orchestrators, and operators.
• Strategic Alignment: Tech initiatives must align with business strategy, and the team must be unified around these goals.
• Resilience and Cybersecurity: Resiliency is no longer just about IT systems but about the business as a whole. CIOs should prioritize protecting the most critical parts of the business.
• Emerging Technologies: Tech leaders should explore how quantum technologies and other innovations can generate business value.

2. Tech Talent: Putting the 'Human' Back in 'Human-Centered AI'

• Human-Centered Approach: AI is not just about technology but also about people. CIOs must recognize that tech transformation is essentially a people transformation.
• Job Impact and Resistance: The introduction of gen AI may cause resistance due to job changes and skill requirements. Clear communication is essential.
• Skill Development: CIOs should invest in building skills for their teams, especially in areas that are critical for future tech needs.
• Domain-Specific Learning: Learning journeys should be tailored to specific domains, with collaboration between CIOs and HR to identify skills, create programs, and measure effectiveness.

3. How We Work: The Gen AI Agents Are Coming

• Gen AI Agents: These agents can significantly accelerate tech modernization and reduce costs by up to 40 percent.
• Collaborative Workforce: Gen AI agents can work independently with human oversight, handling complex tasks like data analysis and integration.
• Process Optimization: Tech leaders should focus on using gen AI to streamline entire software development processes, not just individual tasks.
• Cost-Benefit Analysis: The use of gen AI should be directed at the largest and most complex tech problems to maximize impact.

4. Tech Resiliency: Make the Business—not Just IT—Resilient

• Resilience as a Mindset: Resilience is not just about IT systems but about the entire business. CIOs need to shift their focus to the most critical parts of the business.
• Journey-Level Assessment: Resiliency should be evaluated at the journey level, considering all steps, dependencies, and third-party interactions.
• Advanced Practices: Tech leaders should adopt advanced practices like chaos engineering to test and improve system resilience.
• Vendor Evaluation: A framework for assessing vendors and their dependencies is crucial for ensuring business continuity.

5. Gen AI: Time for an Honest Assessment

• Realistic Expectations: Gen AI has not yet delivered the expected productivity gains, and the problem lies in how it is being implemented, not the technology itself.
• Development Lifecycle Focus: CIOs should evaluate the entire development lifecycle, from idea to production, to identify areas for improvement.
• Productivity Metrics: Organizations need to implement real productivity metrics to assess the effectiveness of their AI initiatives.
• People-Centric Approach: The success of AI depends on people, not just tools. CIOs must redesign roles, adjust incentives, and potentially restructure teams.

6. Tech Productivity: Less Promise, More Performance

• Cost Transparency: Tech leaders must provide better transparency and accountability for IT spend, moving from capital to operational expenditures.
• Business Accountability: Business leaders should be held accountable for tech spend, using tools like FinOps to track and manage costs effectively.
• Tool Integration: Tech leaders should invest in tools that business and product teams can use to manage and optimize their tech investments.
• Behavioral Change: The goal is to use spend insights to encourage better behavior and more effective use of technology.

7. Lessons from Asia: Rewire for AI

• Combining AI Types: Asian companies, especially in China, are combining gen AI with analytical AI to achieve better ROI.
• Disciplined Investments: Success in AI requires disciplined investments in data infrastructure, modular architecture, and automated workflows.
• Customer Journey Focus: Tech leaders should focus on digitizing the entire customer journey, not just individual interactions.
• KPIs for Change: Implementing KPIs that track AI-driven changes is essential for ensuring they are implemented and effective.

8. ERP Transformation: Two Decisions That Can Cut Costs by 30 Percent

• Cost Reduction Opportunity: ERP transformations can lead to significant cost savings, up to 30 percent, if approached strategically.
• System Integrator Spend: Reviewing and optimizing SI spend is crucial, as it often accounts for 50–70% of ERP costs.
• KPI Tracking: Companies should develop and track business KPIs to assess the impact of ERP transformations.
• Process Mining Tools: These tools provide real-time transparency into process and KPI performance, helping to justify ERP investments.

Conclusion

2025 presents a pivotal moment for tech leadership, with a strong emphasis on human-centric approaches, strategic alignment, and real-world performance. Tech leaders must be prepared to navigate a complex and rapidly changing environment by focusing on resiliency, productivity, and the effective integration of AI and other emerging technologies. The insights from McKinsey's partners provide a roadmap for achieving these goals through thoughtful planning, investment, and collaboration.