Critical Path #1 - Why everyone lies about AI
In a Nutshell
**Shadow AI is already everywhere—40-80% of employees use unapproved generative AI tools regardless of policy—and companies must stop fighting it and instead implement amnesty, anonymous surveys, clear governance, and safe on-ramps to bring it into the open.** The core mistake is treating AI as an IT issue to delegate; CEOs and boards must personally gain fluency with frontier models to lead adoption safely and effectively. The five-step framework—amnesty, surveys, governance, on-ramps, and onboarding—converts risky shadow usage into controlled, value-creating "sunlighted AI" that amplifies human intelligence without creating data breaches or hallucinations.
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Organizations cannot fight the adoption of AI tools. Employees will use AI regardless of policies, with some taking photos of work laptop screens on personal phones to bypass firewall restrictions when chatbots are banned. This reality exists across every laptop and every firewall, whether officially approved or not.
Critical Path is a podcast focused on what executives and leaders can do across every industry in the face of generative AI. The podcast is a relaunch with a new direction. David Shapiro has been in technology for almost 20 years, spending the first 15 years in IT infrastructure, cloud automation, and the last five focusing on artificial intelligence, specifically generative AI.
Dalor Petravvic is senior partner at Deloitte (retired) with more than 30 years of industry experience in business transformation through technology and leadership activation. His personal mission is to help business owners and business leaders successfully navigate their organizations through the transition into the age of intelligence and age of automation.
The mission is to provide clarity and confidence to business leaders on how to think about this moment, what intelligence and automation mean personally and professionally, and to provide guidance on how to navigate, organize, and mobilize organizations into their future versions. The goal is to create organizations that are more intelligent, more automated, and more autonomous, including sovereignty considerations.
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