CIOs: Lead AI Innovation, Don’t Just Control It

The conversation surrounding artificial intelligence has reached a fever pitch. Organizations are grappling with a complex blend of excitement, apprehension, and the urgent need to implement something – anything – to leverage this rapidly evolving technology. For Chief Information Officers and enterprise technology leaders, charting a clear path forward feels increasingly challenging, fraught with potential missteps. However, the most significant risk isn’t necessarily making the wrong choices; it’s succumbing to analysis paralysis while competitors surge ahead. Real, impactful AI initiatives don’t begin with perfect, all-encompassing strategies. They start with accessibility, building trust, and a dedication to hands-on learning.

My career in technology, even predating my corporate roles, has consistently underscored the importance of navigating innovation’s inherent challenges and opportunities. I recall early experiments with expert systems, which ultimately led to a venture aimed at personalizing fashion choices. Initial investor reactions were dismissive, predicting consumers would never embrace online clothing purchases. This, and numerous subsequent experiences, taught me a crucial lesson: groundbreaking technologies often face initial resistance – a resistance that, in retrospect, frequently proves shortsighted.

This pattern persisted when I transitioned into a CIO role within state and local government. A natural inclination towards caution and risk aversion was prevalent. However, I also observed the substantial cost of this hesitancy – lost learning opportunities, stifled innovation, and difficulty cultivating a forward-thinking organizational culture. Delaying engagement with new technologies risks obsolescence. I often reflect on the initial skepticism surrounding e-commerce or the early resistance to Software-as-a-Service when discussing AI with colleagues. We’ve witnessed this scenario before. It’s time to fully embrace the immense possibilities of AI, and not allow fear to dictate our pace.

IT Leadership’s Transformation: From Control to Enablement

The role of IT leadership is undergoing a fundamental shift. Historically, IT departments functioned as gatekeepers of technology. The advent of SaaS began to democratize access, empowering employees with powerful tools directly. Artificial intelligence represents an even more profound change. It can be intimidating, and as leaders, we have a critical responsibility to demystify it and make it readily available. Much like the dot-com boom, we are at a pivotal moment, and IT leaders must harness this potential to drive innovation.

Workday’s approach to AI adoption exemplifies a deliberate and iterative process. We didn’t wait for a comprehensive, end-to-end strategy. Instead, we prioritized building awareness and enthusiasm. We rolled out readily accessible AI features integrated into the tools our employees already used daily. The objective was to make AI intuitive, helpful, and easily incorporated into existing workflows, demystifying the technology and fostering genuine excitement.

Cultivating Trust Through Employee Empowerment

Simply providing access isn’t sufficient; employees require the skills and knowledge to effectively utilize these tools. This is where our AI Champions initiative proved invaluable. These individuals, selected from diverse teams, focused on communicating practical, persona-based AI use cases. They became internal advocates, sharing real-world examples of how their colleagues were leveraging AI to enhance their work. This peer-to-peer approach was instrumental in building trust and positioning AI as a shared opportunity, rather than a top-down mandate.

As we progressed to what we term “functional AI” – more complex applications tailored to specific business functions – the importance of collaboration and a willingness to learn from setbacks became even more apparent.

Reimagining ROI in an Age of Experimentation

This journey also necessitated a reevaluation of how we assess AI investments. We established an AI Advisory Council, bringing together leaders to guide our decision-making. We quickly realized that traditional evaluation criteria, with their emphasis on immediate, quantifiable return on investment, were inadequate for the dynamic nature of AI.

We adopted a more flexible mindset, recognizing that projects lacking an obvious, immediate financial return can still deliver significant value through learning, increased speed, and the discovery of new possibilities. For instance, one team, with limited resources, developed a valuable tool for streamlining earnings reports in just a few weeks. This demonstrated the potential for rapid, impactful development and informed our future planning. Mistakes, particularly small-scale ones, are not merely acceptable; they are essential for accelerated learning. Delaying AI adoption until technologies are fully mature means missing critical opportunities to inject fresh energy and innovation into our organizations.

Fostering a Culture of Continuous Learning

The key to successful AI adoption lies in cultivating a culture of learning and experimentation. Employees at all levels – developers, non-developers, executives, and individual contributors – must have the opportunity to engage with AI tools and understand their functionality. Some organizations are empowering employees to train AI models and learn prompt engineering, a fantastic way to demystify the technology and demonstrate its capabilities. We are encouraging our teams to experiment with prompts and train chatbots, aiming for AI to become a true copilot in their daily tasks.

Think of it as an athlete consistently refining their skills through training. That’s the experience we want our employees to have with AI – a tool that enhances their work, making it faster, more effective, and ultimately, more meaningful and enjoyable. Even my mother’s seamless integration of a voice assistant into her daily life serves as a simple reminder of how effortlessly technology can integrate when it genuinely provides value.

To my fellow CIOs and technology leaders: Don’t allow fear or the pursuit of perfection to paralyze you. Begin by building awareness, making AI tools accessible, empowering your champions, and redefining your investment criteria to prioritize learning and iteration. Most importantly, foster a culture where experimentation is encouraged and employees feel empowered to explore. The future of work is intelligent, and it’s our collective responsibility – and opportunity – to shape it.

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