board oversight, executive strategy, and organizational change. Ten pieces from a weekly archive that now runs backward from June 20, 2026.
Tack MediaRecent U.S. export controls on advanced AI models are forcing allied nations to accelerate their own sovereign AI initiatives, threatening global tech cooperation.
Sarah LinDemos are designed to impress, not to function at scale. Discover the critical criteria leaders must use to evaluate AI vendors beyond the glossy sales pitch.
Elena RostovaTraditional investment memos fail to capture the unique risks of AI. Learn how to draft an AI strategy document that executives can actually use to make decisions.
Chloe MartinezAI moves too fast for annual planning cycles. Discover the agile leadership cadence required to steer enterprise AI programs successfully.
Sarah LinIf the C-suite doesn't trust the metrics, the AI program will die. Learn how to establish transparent, verifiable measurement frameworks that build executive confidence.
Pill Creative StudioInnovation requires taking risks, but those risks must be calculated. Understand how to formally define and communicate your organization's AI risk appetite.
Chloe MartinezAdding AI to everything leads to organizational bloat. Discover why a strategic 'stop doing' list is essential for focusing resources on high-impact AI initiatives.
David VanceEvaluating an AI roadmap is vastly different from evaluating a traditional software plan. Learn the specific questions executives must ask to validate AI strategy.
Elena RostovaCorporate boards have a fiduciary duty to oversee AI risk and strategy. Discover the critical questions board members must ask management regarding AI initiatives.
Elena RostovaScaling an AI pilot across the enterprise is a massive logistical challenge. Understand the infrastructure, cultural, and financial realities CEOs must grasp before hitting 'go.'