Sean Perryman

Love people not parties. Champion ideas not individuals. Stand for principles not politics.

We talk about what AI is doing to jobs and economies. We rarely talk about what it’s doing to us. That’s what I built The Human Cost for — a Substack on AI’s impact on human relationships, grief, connection, and meaning. A few things I’ve covered so far: → AI companion apps and adolescent attachment (scarier than social media) → Who actually pays when Block cuts thousands of jobs and calls it progress → What the Paramount-Skydance deal tells us about who controls our narratives I’ve spent years in AI policy — House Oversight, Uber, Vanderbilt Law. The most consequential stuff rarely makes it into the regulatory frameworks. So I’m writing about it: thehumancostai.substack.com

Our YouTube channel is the go-to destination for sharp analysis—all delivered with unfiltered honesty and unmatched clarity with the leading thinkers and policy-makers of our time. Excited to continue great conversations with @GEBogden @ClearerThanTruth" target="_blank" rel="nofollow noopener">youtube.com/@ClearerThanTr…

If you’re in tech, policy, or the creative space, now’s your moment to help set the guardrails for AI storytelling. The future is being written—literally—in one click.

Generative AI is rewriting the rules of content. Let’s make sure it rewrites the rules for protection, consent, and trust too. techcrunch.com/2025/08/08/for…

AI tools that remove all friction from creation can also remove friction from harm. The answer? Build ethical standards into product design from day one. #ResponsibleAI

Innovation must come with accountability. If AI is the “new electricity,” then building its grid should be a shared responsibility, not a public subsidy.’’

AI fairness isn’t just about algorithms. It’s also about the infrastructure behind them—and making sure the economic impact is equitable.

Data centers power AI’s future—but they’re also driving electricity bills up for millions. We need policy that ensures the companies creating demand also carry the cost. usnews.com/news/best-stat…

Policies must lead—not lag. The rise of AI in the workforce demands governance that protects workers, bridges skill divides, and prioritizes fairness in deployment.

The finance sector is on the frontlines—AI now handles up to 75% of analyst work in some firms. As automation deepens, human oversight, ethics, and client relations must remain central.

Entry‑level trajectories are shrinking, and as AI takes over lower‑rung roles, career paths are shifting. We must reclaim access and opportunity through targeted reskilling.

AI is disrupting workforce dynamics fast—white‑collar layoffs are accelerating as firms deploy AI to replace routine roles. This isn’t just tech—it’s a test of policy, equity, and resilience.

AI isn’t just changing how we think—it’s making us think less. Recent studies from @Wharton and @MIT suggest large language models are eroding our cognitive edge. One experiment showed ChatGPT users had lower comprehension than those using Google. Another found that participants couldn’t recall content generated with AI, or even their own thoughts. We’re outsourcing critical thinking to machines built for pattern prediction, not wisdom. This isn’t just a UX flaw, it’s a societal risk. As AI leaders, we must design for augmentation, not dependence. How do we build AI that sharpens, not softens, the human mind?

The smarter AI gets, the dumber we risk becoming. Let’s fix that. EEG studies at MIT show a drop in brain activity when people use AI for writing and decision-making. One key finding? Heavy LLM users had the weakest memory retention and analytical focus. We’re not just saving time, we’re surrendering thought. It’s time to rethink what “smart AI” really means. Human judgment, creativity, and critical thinking must stay in the loop. What principles should guide ethical, human-centric AI use?

We’re on the path to cognitive off‑loading: relying on chatbots is shrinking our critical muscles. As a leader in the AI world, I advocate for AI that augments—not replaces—human judgment.

AI’s convenience comes at a cost: creativity, reasoning, recall—all at risk. I’m taking responsibility to guide the AI evolution in a way that empowers the human mind, not weakens it

MIT EEG tests show LLM users exhibit lowest brain connectivity and memory recall—users could NOT quote their own essays. That’s not efficiency, that’s erosion. I’m pushing for smarter AI habits.

A Wharton study of 4,500+ users shows those who research via ChatGPT develop shallower knowledge than people who search via Google. Passive synthesis ≠ real learning. Human thinking must stay active.

British Vogue’s usage of an AI generated model is causing us to think about how innovation and creativity may hinder ethics across industries. forbes.com/sites/moinrobe…

As AI shifts, evolves, and continuously changes throughout the world, we must have regulations to standardize its usage, protect consumers and spur innovation across the globe. atlanticcouncil.org/blogs/geotech-…