What new leadership capabilities are required to drive successful AI transformation?

As artificial intelligence reshapes industries, leaders face a critical challenge: adapting their skills to drive successful AI transformation. With 91% of leading businesses investing in AI, the need for new leadership capabilities has never been more pressing. But what exactly are these capabilities, and how can leaders acquire them to stay ahead in the AI-driven landscape?

To shed light on this crucial question, we’ve gathered insights from industry experts. Our first contributor is Mark Greeven, a renowned authority on innovation and digital transformation in China. As a professor at IMD Business School and author of several books on business in Asia, Mark brings a wealth of knowledge to the table. His perspective on the leadership capabilities required for AI transformation promises to offer valuable insights for business leaders and decision-makers navigating this complex terrain.

Let’s dive into Mark Greeven’s expert take on the new leadership capabilities essential for driving successful AI transformation.

Mark Greeven

Mark Greeven, Professor of Management Innovation and Dean of Asia at IMD Business School, identifies three critical leadership capabilities required to drive successful AI transformation:

1. AI bilingualism: Leaders must bridge the gap between business and technology, understanding AI’s capabilities and limitations without needing to code.
2. Experimental governance: Implementing frameworks that encourage rapid experimentation while managing risks in AI implementation.
3. Augmented judgment: Effectively combining human expertise with AI insights to make informed decisions.

“Leading in the age of AI requires a fundamental shift in how we think about leadership,” Mark emphasizes. He stresses the importance of creating a culture of continuous learning, as AI technology evolves rapidly. Leaders must invest in their people’s capabilities while helping them adapt to working alongside AI systems.

Mark highlights that successful AI transformation isn’t about replacing human judgment but enhancing it. He advises leaders to develop decision-making frameworks that determine when to trust AI recommendations and when to override them. This approach ensures organizations can harness both human and artificial intelligence to drive better outcomes.

As AI continues to reshape industries, more expert perspectives on leadership in the AI era are emerging. The key takeaway is that leaders must actively develop these new capabilities to effectively navigate the challenges and opportunities presented by AI transformation.

This article was first published on Speakers Associates' website "What new leadership capabilities are required to drive successful AI transformation?"

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