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How Leading Companies Succeed with AI Strategy Short and Long Term

July 3, 2025•Pat Brans•Original Link•2 minutes
AI Strategy
Digital Transformation
Business Innovation

CIOs share proven strategies for delivering immediate AI value while building long-term capabilities, based on real-world examples from AMD, Lenovo, and others.

As AI hype intensifies, many enterprises struggle to demonstrate tangible returns. However, four organizations - AMD, Lenovo, Trimble, and Upwave - reveal practical approaches that deliver both immediate value and long-term strategic positioning.

Prioritizing High-Impact Use Cases

  • AMD treats AI like any strategic IT investment, focusing on projects with clear business value. Example: AI tools reduced R&D tax documentation preparation from weeks to hours.
  • Lenovo's Studio AI slashed marketing content production time by 80% and reduced agency spend by 70%.
  • Upwave created customer-facing AI tools that generate campaign performance reports, boosting satisfaction and engagement.
  • Trimble reports 90% engineer adoption of GitHub Copilot, with measurable productivity gains.

Chris Wire, VP of business applications, AMD

Cultivating AI-Ready Cultures

Successful companies foster environments that encourage experimentation:

  • AMD hosts internal hackathons generating 100+ AI ideas in a single day
  • Lenovo uses tiered training approaches and friendly departmental competitions
  • Trimble invests in leadership support and structured onboarding programs
  • Upwave emphasizes intentional design starting from user needs

Arthur Hu, Global CIO, Lenovo

Creative ROI Measurement

Organizations track diverse success metrics beyond financial returns:

  • Time savings: Trimble reduced tunnel safety analysis from 30 minutes to 3
  • Productivity gains: AMD sees 15% improvements in finance processes
  • Customer signals: Upwave monitors contract renewals tied to AI features
  • Adoption rates: Trimble's 90% engineer usage of GitHub Copilot

Aviad Almagor, VP of technology innovation, Trimble

Building for the Future

While delivering immediate value, these companies are laying foundations for transformative AI applications:

  • Trimble envisions multi-agent ecosystems collaborating across business domains
  • Lenovo sees augmentation becoming the norm in decision-making
  • Upwave experiments with conversational AI for more intuitive data interfaces
  • AMD expands internal AI communities with governance frameworks

George London, CTO, Upwave

Key advice from technology leaders:

  • "Start with guaranteed win use cases" (Trimble)
  • "Co-create solutions with the business" (AMD)
  • "Understand your cost structure" (Upwave)
  • "Reduce barriers to entry" (Lenovo)

The article demonstrates that successful AI strategies combine practical implementation with visionary thinking, delivering both short-term operational improvements and long-term competitive advantage.

Related News

August 19, 2025•Mike Hulme

How Frontier Firms Leverage Microsoft Azure for AI and Cloud Modernization

Discover how Frontier Firms are scaling AI transformation with human-agent teams and modernizing their infrastructure on Microsoft Azure for competitive advantage.

AI
Cloud Computing
Digital Transformation
August 14, 2025•TechNode Global Staff

86 percent of SEA firms to adopt AI agents by 2025

A survey reveals 86 percent of Southeast Asian organizations plan to use AI agents within the next year, with 42 percent already implementing the technology.

AI Adoption
Southeast Asia
Digital Transformation

About the Author

David Chen

David Chen

AI Startup Analyst

Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.

Expertise

Startup Analysis
Venture Capital
Market Research
Business Models
Experience
11 years
Publications
200+
Credentials
2
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