Too many boards are stuck in defense—reacting to AI instead of leading through it. If your board isn’t pushing strategy, demanding accountability, and adapting fast, you’re not governing. You’re sleepwalking into disruption.
The decision between mergers and acquisitions (M&A) and organic growth is pivotal for any CEO. This article presents a comprehensive framework with 12 best practices to help navigate this critical decision, covering strategic alignment, market conditions, financial considerations, organizational readiness, and risk management.
In today’s rapidly evolving AI landscape, one critical decision stands out for business leaders: should you build AI capabilities using open-source models, or lease pre-built, closed-source models? This choice can significantly impact your product’s cost, functionality, and control. Making the right decision can accelerate your growth, optimize costs, and give you a competitive edge in the market. Here’s a simple framework to help you decide.
In my role as an AI advisor, I’ve had the privilege of sitting across from CEOs and board members from a diverse range of industries this past year. From tech startups to century-old manufacturing giants, one thing is clear: AI is no longer a fringe topic. It’s front and center in the C-suite. In this blog, I’ll share the top questions CEOs are asking about AI and how to approach them using the STRIVE framework, covering strategic alignment, threat management, return on investments, innovation, vendor decisions, and impact evaluation.
Paul Graham’s framework on attitudes towards societal norms offers valuable insights for independent thinkers navigating the complex corporate landscape. Effective leaders must foster environments that leverage the strengths of both conformists and nonconformists to drive innovation and build enduring organizations.
Discover the essential playbook for board directors to navigate the complexities of AI governance, ensuring responsible leadership and effective risk management in the age of technology.
In a fervent response to recent critiques of Environmental, Social, and Governance (ESG) principles, this post argues for the intrinsic value of ESG beyond mere profit metrics. It challenges the notion that ESG’s worth is tied to stock performance, advocating instead for a broader vision of sustainability and justice that prioritizes our collective responsibility towards the planet and future generations over short-term financial gains.
Navigating the AI revolution demands ethical foresight. The CARES Framework provides a blueprint for companies to harness AI’s potential responsibly, ensuring innovation benefits all of society. Discover how compliance, assessment, responsibility, education, and societal impact form the pillars of ethical AI.
Integrating AI into your business can seem daunting, but with a strategic two-pronged approach, it’s achievable. This post delves into a top-down and bottom-up strategy for AI integration, balancing immediate value with long-term innovation. Whether it’s leveraging AI for customer service or harnessing proprietary data for a competitive edge, we provide a clear framework for leaders to identify and prioritize AI initiatives for maximum business impact. Embrace AI safely and democratically to unlock new efficiencies and secure your business’s future. Join the transformative journey of AI integration today.
Discover the hidden impact of an indecisive CEO on organizational growth and success. This blog explores the signs of indecision in leadership, its consequences, and practical strategies for CEOs to overcome hesitation and make effective decisions.
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