The Leaders AI Innovation Needs

For over two and a half decades, author has studied remarkable leaders of innovation from various companies and countries. Through numerous observations, they discovered that leading AI innovation is not about having a vision and leading others to the future, but rather about inviting others to co-create the future with you. This principle applies to the AI age, where many companies are rushing to adopt new AI practices, but those who have achieved the most success believe that AI's value lies in augmenting human capabilities rather than merely swapping machines for people. Their objective is to pursue solutions that enhance human ingenuity.

These leaders understand that navigating uncertainty is a significant challenge, and they encourage others to experiment with new ways of working despite the intellectual and emotional demands. Innovation is typically the result of collaboration, experimentation, and learning from individuals with diverse expertise and perspectives.

Collaboration involves weaving together different viewpoints through constructive conflict to create a marketplace of ideas. Experimentation entails actively testing, pivoting, and refining. Learning occurs when people and groups reflect on the insights gained from those experiments and adapt their approach accordingly.

To create and scale innovative AI solutions, leaders utilize a set of interconnected roles known as the "ABCs" of leadership: architects, bridgers, and catalysts. Architects recognize they cannot force innovation and instead foster the culture and capabilities that enable co-creation. They achieve this by raising their organization's collective aspirations through a shared sense of purpose and values.

By reshaping the social environment, these leaders encourage colleagues to work through inevitable conflicts and the fear of failure. They reward thoughtful risk-taking, treat failures as learning opportunities, and provide the necessary tools, data, and permission to try new things.

Bridgers focus on building trust-based partnerships with entities outside their organization, recognizing that no company has all the talent and tools needed for innovation given the rapid pace of technological advancement. With AI, there is a shortage of individuals who can translate and work across technology and business. Technical experts developing AI solutions often lack contextual intelligence about business realities and customer needs, while businesspeople may not grasp the opportunities and risks associated with implementing the technology.

Catalysts play a crucial role in mobilizing stakeholders across industries, sectors, or nations to address the most ambitious innovation challenges. They also help establish global norms and guardrails to ensure AI remains aligned with human interests. Catalysts can bring in overlooked voices, surface second-order effects, and help mitigate AI risks while sharing its benefits more equitably.

Ultimately, many leaders must be prepared to reinvent themselves to turn AI innovations into reality and achieve the desired impact. They need to relinquish the notion of being the smartest person in the room and embrace collaboration, experimentation, and learning with "unusual suspects." Even AI-first executives admit that we do not fully understand where AI will lead us or how to reach that destination.

The winners in the AI race will be companies whose leaders accept their task as wayfinding, enabling their colleagues to embrace the courage and curiosity of explorers who once navigated uncharted oceans without knowing their destination. Fortunately, we now have more sophisticated tools at our disposal than those ancient seafarers.

For AI to positively impact customers and society, individuals at all levels of organizations must be willing and able to join this journey.