Who do we trust when the technology, companies, and rules are changing this fast?
This week, Gabe and Kelly start with a deceptively simple question: who do you actually trust in AI?
Is it easier to trust Google because it has been part of our lives for decades? Can newer companies like OpenAI and Anthropic build that same trust—or are they trying to manufacture it faster than trust normally develops?
From there, the conversation gets bigger.
We talk about the difference between trusting an AI company and trusting what the AI actually tells you; why hallucinations and sycophantic behavior change the relationship; and what happens when AI starts sounding, responding, and even speaking more like another person. If a particular voice feels more familiar, reassuring, or authoritative, does that change how willing we are to believe the answer?
Then trust moves from AI into the workplace.
Can you trust your manager while distrusting the company? What do leaders really mean when they ask employees to “trust the process” during change? And when we introduce AI into that process, are we automating work—or quietly moving trust from a person into a system?
That becomes the Organizational Gravity question at the center of the episode:
Does the organization work because it's trustworthy—or because trustworthy people keep making it work?
That question matters even more as AI begins taking over pieces of Human Middleware: the people who connect systems, interpret ambiguity, know where the exceptions live, and keep work moving when the formal process is not enough.
We also cover AI security, the 2026 Hugging Face incident, Anthropic’s new Public Benefit Fund, the enormous amount of money flowing through AI, and whether corporate visibility and public promises actually build trust—or just create presence.
And finally, we turn the question back on leadership.
Being trusted doesn’t automatically mean you’re right. Fixing something doesn’t automatically earn trust in the next change. And sometimes one of the clearest ways a leader can demonstrate trust is surprisingly simple:
Let go.
Not completely. Not irresponsibly. But enough to let someone else own the work, make decisions, and prove what they can do.
Maybe trust isn’t something we can announce, market, automate, or demand.
Maybe it has to accumulate.
And maybe that’s exactly what makes this moment in AI so difficult.
In this episode:
* Why longevity and familiarity matter when we decide which technology companies to trust
* Trust in an AI company vs. trust in an AI answer
* Hallucinations, sycophancy, and the danger of confident language
* Human-like AI, voice, anthropomorphism, and emotional trust
* Why “trust the process” usually shows up during change
* AI security and what the Hugging Face incident exposed
* Whether public-benefit commitments build trust or simply build presence
* Trust between employees, managers, leadership, and the larger organization
* Human Middleware and the people quietly holding organizations together
* Why being trusted is not proof that you’re right
* Delegation, letting go, and trust as a leadership behavior
The Gravity Audit:Where does trust actually live in your organization?
If the person everyone relies on disappeared tomorrow, would the process still work?
And if AI replaces part of what that person does, what exactly are you transferring to the machine—the task, the judgment, or the trust?
