Why your organization needs both AI moonshots and mundane wins

Enterprises are expected to invest $307 billion in AI by 2025, but most of these projects will fail due to a lack of balance between ambitious and routine initiatives. AI's true power emerges when leaders orchestrate a portfolio of projects that range from revolutionary to routine. This approach allows organizations to manage risk and balance competing priorities. The innovation portfolio approach enables leaders to understand how different AI initiatives interact and create a pipeline of projects with varying sizes, scopes, and risks. The CEO must become the chief orchestrator of the AI portfolio, balancing competing priorities while maintaining strategic coherence. The CEO's role involves setting vision, allocating resources, and driving cultural transformation. A successful AI portfolio should operate on both macro and micro levels, balancing grand visions with mundane victories. Strategic priority mapping is essential to evaluate AI initiatives and allocate resources effectively. The continuous evolution model involves regular rebalancing, learning loops, and cultural evolution to adapt to dynamic environments. Ultimately, successful AI portfolios recognize that AI is about transcending current limitations, and this requires groundwork and a balanced approach.