Plenty of leaders have delegated AI. Very, very few have figured out what it can do for their own thinking. ‘When you give them something really simple that is also significant, the behavior changes very fast.’

San Antonio, TX – October 26, 2023 – As the generative artificial intelligence revolution continues to reshape the business landscape, a critical disconnect has emerged among top executives. While many companies are embracing AI for operational efficiencies and productivity gains, a significant portion of leadership teams are failing to leverage the technology for what may be its most profound impact: enhancing their own strategic thinking and decision-making capabilities. This sentiment was echoed by Geoff Woods, founder of AI Leadership and author of "The AI-Driven Leader: Harnessing AI to Make Faster, Smarter Decisions," who will be a featured speaker at Chief Executive’s upcoming Leadership Conference in San Antonio.

Woods asserts that the current adoption of AI among many CEOs and their executive teams is largely superficial, often limited to mundane tasks like drafting better emails or conducting basic research. He contends that the true transformative power of AI for leaders lies not in automation, but in its capacity to augment and elevate strategic thought processes. This requires a fundamental shift in how leaders interact with AI, moving from merely asking it questions to engaging it in a way that prompts deeper self-reflection and analysis.

The Chief Executive Leadership Conference, scheduled for November 4-6 in San Antonio, will provide a platform for Woods to delve deeper into this crucial aspect of AI adoption. The event boasts a distinguished lineup of speakers, including thought leaders like Keith Ferrazzi, San Antonio Spurs CEO R.C. Buford, former Home Depot and Chrysler CEO Bob Nardelli, and former Senator Phil Gramm. Pre-conference workshops will also offer specialized training in AI, sales strategy, and strategic planning, underscoring the conference’s commitment to equipping leaders with cutting-edge tools and insights.

The Delegation Dilemma: A Missed Opportunity for Executive Growth

Woods’ observations stem from years of working with leadership teams across various industries. He notes a common response when CEOs are queried about their company’s AI initiatives. The answers typically revolve around departmental improvements – finance teams accelerating month-end closes, marketing departments optimizing campaigns, or operations streamlining workflows. However, when asked about the personal, daily use of AI by each member of the executive team to enhance their individual thinking, the response is invariably limited. "Almost always the answer is a variant of ‘better, faster emails’," Woods stated in a recent interview.

This pervasive trend highlights what Woods identifies as the core gap: while leaders have readily delegated AI to departments and teams, very few have personally mastered its potential to sharpen their own cognitive abilities and strategic foresight. This is particularly concerning given the rapid evolution of AI capabilities. Research by McKinsey & Company indicates that companies that effectively integrate AI into their core business strategies can see significant improvements in profitability and market share. However, these benefits are often realized through operational efficiencies rather than a fundamental enhancement of leadership thinking, which Woods argues is the more potent, yet underutilized, avenue.

The Personal Payoff: Elevating Strategic Thinking with AI

Woods’ career, which includes serving as Chief Growth Officer of Jindal Steel & Power where the company’s market capitalization surged from $750 million to over $12 billion in four years, has equipped him with a unique perspective on leadership and technological adoption. He firmly believes that the ultimate payoff of AI for executives is not about automating tasks but about fostering superior strategic thinking. Achieving this, however, requires a counterintuitive approach: instead of directing AI with questions, leaders must learn to make AI question them.

"No one has shown them how they can personally wield it in a way that matters," Woods explained. "They’re using it to write better emails, or to do some research, or as a search engine. That’s not harnessing the technology to truly make yourself more valuable." His book, "The AI-Driven Leader," aims to bridge this knowledge gap, providing executives with actionable strategies to elevate their strategic thinking and tackle their organization’s most complex challenges. The success of the book, he notes, is attributed to its ability to offer leaders "something really simple that is also significant," leading to rapid behavioral change.

AI for the Mid-Market: A Powerful Equalizer

The potential for AI to democratize strategic thinking is particularly relevant for mid-market companies. These businesses often face the same complex strategic challenges as larger enterprises but lack the extensive resources and dedicated task forces that Fortune 500 companies can deploy.

"It’s realizing that your ability to think strategically is the difference between growing your business and going out of business," Woods emphasized. He elaborated on how AI can serve as a potent thought partner for CEOs in these environments. Traditionally, leaders relied on their own intellect, their teams, and vast amounts of reading material to inform their strategies. However, the sheer volume of information available today makes it impossible for any individual to recall and apply all relevant knowledge. AI offers a powerful solution by providing instant access to a global repository of information.

Woods advocates for leaders to step into their role as "thought leaders," with AI acting as a "thought partner." This collaboration is not about replacing human cognition but about augmenting it. A typical approach might involve a CEO asking AI: "What’s the biggest problem we are facing in our company that, if we could just solve it, would unlock a huge level of growth?" Instead of requiring an expensive consultation with firms like McKinsey, AI can provide immediate, data-driven insights.

The CRIT Framework: A New Paradigm for AI Interaction

To facilitate this deeper engagement with AI, Woods has developed a simple yet effective framework called CRIT: Context, Role, Interview, Task. This methodology is designed to move users beyond basic prompt engineering and into a more dynamic, interrogative relationship with AI.

  • Context: Leaders must provide AI with comprehensive background information about the specific situation, challenge, or opportunity they are addressing. This includes market dynamics, internal company performance, competitive landscapes, and historical data.
  • Role: Assigning a specific role to the AI is crucial. This means directing the AI to simulate the expertise of particular individuals or groups, such as a seasoned venture capitalist, a disruptive innovator, a skeptical board member, or a customer advocate. This allows leaders to gain diverse perspectives.
  • Interview: This is the game-changer. Instead of the leader bombarding AI with questions, the leader prompts AI to ask them questions. This inverted approach forces leaders to articulate their assumptions, challenge their biases, and unearth nuanced insights they might not have consciously considered. "The game changer, Dan, is that you don’t ask AI questions like it’s Google. You turn the tables and make it ask you questions, to elevate how you think, to shift how you lead and to pull non-obvious context out of your head," Woods explained.
  • Task: Once a rich understanding has been established through the contextualization, role-playing, and interview phases, the leader then assigns a specific task to AI. This could involve generating strategic options, analyzing potential risks, simulating market reactions, or drafting persuasive arguments.

By rigorously applying the CRIT framework, Woods asserts that leaders can position themselves among the top 1 percent of AI users globally, particularly in the realm of strategic thinking.

The Transformation: From Competitor to Leader

The implications of adopting this more sophisticated approach to AI are profound. Leaders who move beyond basic delegation and embrace AI as a cognitive enhancer can expect a significant elevation in their strategic capabilities.

"They’ll be playing in a completely different league. And that is not hype. It is fact, from the work that we have done," Woods stated. He predicts that within a matter of weeks to months of making this a disciplined practice, leaders will exhibit:

  • Enhanced Strategic Acumen: A deeper understanding of complex issues, enabling them to formulate more effective long-term plans.
  • Challenged Biases and Assumptions: The AI’s questioning process will naturally expose ingrained beliefs and preconceptions, leading to more objective decision-making.
  • Innovative Strategy Generation: The ability to uncover high-impact, non-obvious strategies that can address critical business problems or unlock ambitious growth opportunities.
  • Elevated Leadership Performance: A more confident and informed approach to leadership, characterized by a greater capacity to navigate uncertainty and drive transformative change.

The upcoming Chief Executive Leadership Conference in San Antonio offers a timely opportunity for executives to learn from experts like Geoff Woods and begin their journey towards becoming truly AI-driven leaders. As the business world accelerates, the ability to harness artificial intelligence not just for efficiency, but for the profound enhancement of executive thought, will increasingly become the defining characteristic of those who lead with vision and achieve lasting success. The shift from delegating AI to being questioned by it represents a paradigm shift, one that promises to unlock unprecedented levels of strategic insight and competitive advantage.

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