This podcast explores how artificial intelligence is reshaping entrepreneurship—not just by enabling new products or business models, but by fundamentally changing how entrepreneurial ventures develop. Drawing on research into entrepreneurial practice, the discussion examines how AI alters venture formation, learning and feedback, boundaries and partnerships, timelines and resources, customer discovery, and relationships with users and communities. A central theme is the growing asymmetry between expanded individual creative capacity and unchanged organizational and institutional constraints. As AI accelerates experimentation and imagination, it also individualizes entrepreneurial agency and responsibility, often without leading to corresponding innovation outcomes. The podcast offers a process-focused perspective on AI in entrepreneurship, inviting listeners to rethink what it now means to build, authorize, and sustain entrepreneurial ventures in an AI-mediated world.

Introduction

Using the Technology Explorer GPT to see what you’re missing

Most tools — and most conversations — push you toward answers.
This one is designed to slow you down first.

In this episode, we introduce the Technology Explorer GPT, a tool built specifically for structured exploration before decisions are made. Instead of advising or evaluating, it helps you map features, surface hidden dimensions, and make unknowns visible — without pressure to commit. This episode shows how deliberate exploration can strengthen research outcomes long before questions of use, validation, or impact are settled.

Introduction

Graduate training rewards convergence: narrowing problems, fixing methods, and defending decisions.
But when it comes to understanding how research might be used, converging too early can quietly limit what your work becomes.

In this episode, we examine why jumping straight to use cases often narrows thinking prematurely — and why exploration itself is a critical, but often skipped, phase of the research process. This episode reframes exploration not as indecision, but as a disciplined way to protect options while rigor still matters.

Brief introduction

How your research fits into real operations

Strong research outcomes often look impressive on paper — but users don’t adopt metrics, they adopt solutions that fit into what they already do.

In this episode, we focus on how the features of a technology translate into value only when they integrate with existing operations, address real gaps, or are easy to implement. Aimed squarely at graduate students, this conversation stays close to research practice and shows how thinking about use during research — not after — can lead to better questions, better designs, and broader impact.

Introduction

Graduate research trains you to ask one central question: What can I defend in a paper or thesis?
But there’s another question that quietly shapes your future: What would change if someone actually used this?

In this episode, we explore the often-unspoken gap between publication outcomes and real-world use — and why understanding that difference early can change how you design your research and position yourself for the next step in your career. This is not about choosing academia or industry. It’s about learning to see your work through more than one lens, while you still have the freedom to shape it.