In a recent LinkedIn post, Teresa Torres delves into the proliferation of advice surrounding Artificial Intelligence (AI), urging a more grounded and experience-based approach to understanding its applications and limitations. Torres expresses skepticism towards generalized AI pronouncements that lack tangible evidence of their origin or practical application.
The Trust Deficit in AI Guidance
Torres highlights a growing concern about the trustworthiness of AI advice circulating online. She argues that without clear context on how individuals are actually using AI or the basis for their recommendations, such advice may fall short of being truly reliable. The rapid evolution of AI technology, she points out, makes it difficult to establish universal truths or fixed guidelines.
“But if it’s not grounded in some type of sharing about how they are actually using it or where that advice is coming from, I don’t see how it can be trustworthy.”
This sentiment underscores a critical need for transparency and authenticity in discussions about emerging technologies. As AI continues to integrate into various business functions, the source and practical applicability of guidance become paramount for leaders seeking to navigate this complex landscape.
The Value of Practical Experience Over Platitudes
According to Teresa Torres, much of the current discourse on AI may stem from a desire to be perceived as an expert. However, she champions a more authentic form of knowledge-sharing that prioritizes demonstrable experience over speculative statements.
Sharing Real-World Usage
Torres suggests that sharing personal experiences and observations of how AI is being utilized in practice is far more impactful than offering premature, abstract conclusions. This emphasis on practical demonstration offers a more compelling narrative and a more reliable source of insight for others.
“This arena is moving so quickly I don’t think we have hard and fast rules that apply to all situations.”
She elaborates on this point, suggesting that the dynamic nature of AI development necessitates a flexible and adaptive approach to advice. Rigid, universal rules are unlikely to be effective in such a rapidly changing environment.
“I know this is likely just a symptom of everyone trying to be seen as an expert. But sharing what you are actually doing and what you are seeing other people do is so much more compelling than some far-too-early-to-call platitude.”
Moving Forward with Authenticity
In essence, Teresa Torres advocates for a shift towards more transparent and experience-driven conversations about AI. By grounding advice in real-world usage and observable outcomes, professionals can foster greater trust and provide more valuable guidance to their peers. This approach, she implies, is crucial for building a reliable body of knowledge in the fast-evolving field of artificial intelligence.
📝 About This Content
This article is based on insights shared by Teresa Torres on LinkedIn.
📅 Originally posted on July 20, 2026 | View original post on LinkedIn →