A recent study from CMU & Microsoft is making waves, and for good reason. It highlights a growing paradox: Generative AI was supposed to free us for higher-order thinking, but instead, it's eroding critical problem-solving skills. Let's consider what it means and what you can do about it.

Is anyone else sick of hearing people say, ‘AI won’t replace you, but someone who knows how to use AI might?’ This statement about technology and skills has become a platitude worth deconstructing for interpretation. Take five minutes to understand why.

After years of significant Generative AI investment, many companies still lack outcomes due to unclear goals, data issues, and cultural resistance. A solution? AI Agents--task-focused systems that deliver precise, repeatable value.

How do we trust intelligent machines when they make mistakes? Unlike traditional tech, Large Language Models (LLMs) deliver both right and wrong answers with equal confidence, challenging our ideas of trust and accountability.

Five years ago, I was offered an adjunct professor role at UT Austin. 300+ students later, I don't regret anything other than getting behind on grading.

Artificial General Intelligence (AGI) is inevitable, but that doesn't mean we can't prepare for its arrival. We can regulate AI's development responsibly and set up initial conditions for favorable outcomes. I explore practical, common-sense guidelines that can foster innovation while protecting society.

Artificial General Intelligence (AGI) isn't a matter of if but when. In my latest article in a series on AI Regulation, I explore five potential scenarios for how AGI might emerge—whether it’s already here, manifests on its own, or is created by academics, corporations, or governments. Each path presents unique challenges and opportunities. Enjoy!

The regulation of AI is driven by how we manage the emergence of Artificial General Intelligence (AGI). But….how do we regulate what we can’t define? This article explores AGI’s uncertain timeline, its drivers, and the challenges of enforcing rules on emerging technology.

I go deep with examples of modern and post-modern Regulation and how it shaped shapes industries. This article explores historical examples of overregulation, lack of oversight, and reactionary laws—from British trade restrictions to The Housing Crisis. Can we strike the right balance before irreversible damage occurs?