Executive Summary of the 2025 CIO Outlook Webinar
In a dynamic and insightful webinar hosted by Experis, senior technology leaders from IBM, Centrica, Experis, and ManpowerGroup came together to unpack the findings of the latest CIO Outlook Report. The session, moderated by broadcaster and financial journalist, Jeff Cutmore, focused on how today’s CIOs are navigating a rapidly evolving landscape shaped by AI acceleration, rising cybersecurity threats, and persistent talent shortages.
Featured speakers included Matt Lyteson, CIO of IBM; Kye Mitchell, Head of Experis U.S.; James Hallahan, European Managing Director of Experis; Amanda Jack, CTO of ManpowerGroup; and Dexter Casey, CISO and Head of Technology Risk and Compliance of Centrica. Together, they offered a compelling look at the challenges and opportunities facing tech leaders in 2025.
The Expanding Role of the Modern CIO
The role of the CIO has evolved dramatically. Once focused primarily on systems management, today’s CIO is a strategic business leader. As Matt Lyteson of IBM noted, CIOs are now expected to drive digital innovation, manage enterprise risk, and align technology with business outcomes. This shift demands stronger cross-functional leadership and a deeper understanding of business operations, not just IT infrastructure.
Cybersecurity: Top of the Priority List
41% of CIOs rank cybersecurity as their top concern, surpassing even AI and innovation. The rise in sophisticated cyber threats, fueled partly by generative AI, has made security a board-level issue. Dexter Casey, CISCO at Centrica, emphasized that many major breaches could be prevented with basic cybersecurity hygiene. He stressed the importance of detection engineering, incident response planning, resilience exercises, and enterprise-wide security culture. James Hallahan from Experis added that cybersecurity must be embedded across the entire tech lifecycle, not treated as an afterthought. The shift to DevSecOps and zero trust frameworks is becoming standard practice.
AI: Strategic, but Cautious Adoption
AI is the second-highest priority for CIOs, but adoption remains uneven. Only 20% of organizations report having advanced AI systems in place. While 36% see AI as a game-changer, 33% are still unsure of its value. Experis leader, Kye Mitchell highlighted that most leaders are taking a measured approach—embedding AI into existing roles and processes rather than launching massive standalone initiatives. Key considerations include identifying clear use cases, establishing governance ethics frameworks and training teams on AI literacy and responsible use. Amanda Jack, CTO of ManpowerGroup, emphasized the importance of aligning AI strategy with business goals and ensuring human oversight in all deployments.
Talent Shortages Remain Critical
Despite aggressive hiring efforts, 76% of organizations still struggle to find the IT talent they need. The most in-demand skills align with top priorities: Cybersecurity (46%), AI (35%) and Cloud computing (34%). To address this, organizations are shifting from being talent consumers to talent creators. Strategies include: investing in training academies and certification programs, hiring based on potential and learnability, building cross-border, distributed teams and offering customized learning paths and reverse mentoring. Matt Lyteson noted that IBM focuses on fewer, broader roles and hires for adaptability, not just experience.
Key Future Skills
The report identifies two categories of critical skills:
- Technical AI Skills: Prompt engineering, data governance, model deployment, AI ethics.
- Power Skills: Communication, adaptability, collaboration, critical thinking.
These skills are essential for building trust in AI systems and ensuring successful adoption across the enterprise.
Building a Culture of Continuous Learning
Both new graduates and experienced professionals must embrace lifelong learning to stay competitive. Organizations are responding by offering hands-on training and sandbox environments, encouraging certifications from providers like AWS, Microsoft, and SAP. It also includes promoting growth mindsets and internal mobility. Amanda Jack stressed the importance of creating safe spaces for experimentation and learning, especially in organizations that are slower to adapt.
AI Strategy: Build vs. Buy
As companies adopt AI solutions from cloud providers and vendors, concerns about vendor lock-in are growing. The panel recommended a balanced “buy and build” strategy with the following steps:
- Buy commoditized solutions for speed and efficiency
- Build proprietary tools where differentiation matters
- Retain control over core intellectual property
This approach ensures flexibility, innovation, and long-term value.
Regional Cybersecurity Trends
While priorities differ by region - cybersecurity investments dominate in North America, while Europe ties cyber to sustainability and AI strategy - the need for robust cyber frameworks is universal.
Final Thought: The CIO as Growth Driver
Today’s CIOs are growth enablers. Those leading successful transformation are tech-driven, customer-focused, and data-savvy. As James Hallahan put it, “The organizations that are winning are those that are technology-led, customer-focused, and data-driven.”
Top Key Takeaways
- Cybersecurity is the top concern for CIOs, requiring enterprise-wide strategies and continuous training.
- AI adoption is growing, but unevenly - leaders are embedding AI into existing roles and focusing on governance.
- Talent shortages persist, especially in AI, cybersecurity, and cloud. Organizations must invest in upskilling and reskilling.
- Power skills like adaptability and communication are just as important as technical expertise.
- Continuous learning is essential for both new and experienced professionals.
- Balanced AI strategies help avoid vendor lock-in and support innovation.
- CIOs must lead with a business-first mindset, driving both productivity, transformation and innovation.
