In a recent LinkedIn post, Laurie Ruettimann raises critical questions about the leadership and governance within prominent artificial intelligence companies, arguing that human flaws, not technological ones, lie at the heart of ethical breakdowns. Ruettimann uses recent reporting on the internal dynamics at OpenAI to illustrate her point that AI development is still very much a human endeavor, fraught with the same ambitions, insecurities, and potential for error as any other industry.
Ruettimann highlights a specific incident involving a co-founder and CTO at a former OpenAI-affiliated startup, Thinking Machines Lab, to underscore her thesis. According to reporting shared by Ruettimann, the CEO confronted the CTO about an undisclosed relationship and productivity concerns, only for the situation to escalate into a power play that ultimately saw the individuals return to OpenAI.
“Have you noticed that AI companies are not AI-led or AI-governed? They are not overseen by neutral systems or objective boards. They are run by people. People with ambition, leverage, desire, insecurity, and egos. The same ingredients that shape every other industry we’ve ever built.”
The Human Element in AI Governance
Ruettimann argues that the perception of AI as an objective, detached force is a misnomer. Instead, she posits that every investment in AI is, in essence, an investment in the human intelligence and conduct behind it. This leads to a significant disconnect, as Ruettimann points out, when these same companies ask for public trust in their models for critical decisions, while simultaneously exhibiting human governance failures.
As Laurie Ruettimann notes, there’s a fundamental contradiction:
“At the same time, these companies ask us to trust their models to make decisions about hiring, pay, performance, health, and risk. They want their technology embedded inside the most human systems we have, while framing the tools as rational and detached from human behavior.”
Leadership Failures, Not Code Collapses
The core of Ruettimann’s argument is that failures in AI governance are, in fact, leadership failures, and ethical breakdowns are fundamentally human problems. She emphasizes that organizational culture does not falter due to code but rather due to the choices made by people within the organization.
Accountability and Trust
Ruettimann references reporting from The Wall Street Journal to bolster her claim that significant AI capability and investment do not automatically equate to ethical behavior or self-restraint. This lack of demonstrated ethical conduct, she argues, makes it difficult to grant the assumed trust that AI is the future, especially when the humans building and profiting from it still struggle with basic accountability.
Laurie Ruettimann concludes her post by stating that trust in AI companies must be earned, not given freely. She observes that, in her view, these AI organizations currently resemble many other businesses that are in dire need of robust governance, genuine accountability, and effective HR practices.
“That trust should be earned, not assumed.”
Ruettimann’s analysis suggests a need for greater transparency and a more grounded understanding of the human factors influencing AI development and deployment. The insights shared by Ruettimann underscore the importance of strong leadership and ethical frameworks, regardless of the technological advancements being made.
📝 About This Content
This article is based on insights shared by Laurie Ruettimann on LinkedIn.
📅 Originally posted on January 22, 2026 | View original post on LinkedIn →