No homework. No midterms. No final exam. In this episode of Decode Econ, I sit down with Dr. Shishir Shakya, an economist at Appalachian State University, who redesigned his entire econometrics and statistics courses around one question: what happens if we stop preparing students for the job market of 2022 and start preparing them for 2028?We get into:Why he cut his curriculum down to the "absolute theoretical minimum" — and how that made his students learn fasterHis AI-based oral exam system that catches understanding gaps multiple-choice tests missThe uncomfortable question I pushed him on: if students can't use AI, why can professors?Why he thinks every student — marketing, supply chain, or otherwise — needs to start thinking like an engineerWhat "flourishing" means in an AI economy, and why creative destruction isn't just a threatIf you're an educator, a student, or just trying to figure out what skills actually matter in an AI-driven labor market, this conversation will change how you think about learning itself.Connect with Dr. Shishir Shakya: https://www.linkedin.com/in/shishir-shakya/ Subscribe to Decode Econ for weekly breakdowns of the economy and your place in it.00:49 – Intro: How AI is disrupting education02:17 – No homework, no midterms, no finals — what replaced them11:22 – The moment AI broke his old teaching model16:05 – Inside his AI-powered oral exam system24:33 – "If students can't use AI, why can professors?"39:06 – Preparing students for the job market of 2028

Startups just had a record funding quarter — $285 billion in Q1 2026. Here's what the headline doesn't tell you: 43% of that went to one company's raise, and the rest of the money is piling into AI. So if you're a student founder building anything else, what does "record year" actually mean for you?I sat down with Dr. Jeni Al Bahrani, who teaches entrepreneurship at Miami University's Farmer School of Business, and Sarah Bosse, a senior who went from a student in Dr. A's class to her TA to her mentee.

We get into why entrepreneurs can't outsource economics to their accountant, the pricing mistake Sarah watched half her classmates make as a TA, why rising interest rates change what investors are willing to fund, and why TAM/SAM/SOM is really a demand-estimation problem dressed up as a pitch-deck slide. We also get into why I've stopped calling them "soft skills" — they're durable skills, and they're the actual product of a good entrepreneurship classroom.Timestamps:0:00 – Why should entrepreneurs learn economics at all?10:00 – The pricing mistake that burns first-time founders17:00 – Interest rates, the $285B funding headline, and what it means if you're not building AI33:00 – TAM/SAM/SOM: the market-sizing mistake that isn't really about math44:00 – Why "soft skills" is the wrong word, and what workforce-ready actually meansIf this episode connects to something you're building — or teaching — leave a comment and tell me what's landing.

The bond market has been sending us warning signs. I sat down with Monetary Economist EJ Ume from Miami University’s Farmer School of Business to explain what is happening and what it means to you. If you don’t already do so, make sure to connect with EJ on LinkedIn.

We would love to hear your thoughts on this conversation.

Here is what we discussed

1. EJ walks through three forces pushing long-term yields higher

2. EJ's research and how monetary policy is a "blunt instrument" that hits different people differently

3. Stablecoins and what you need to know about them

4. Career and teaching: EJ's path from Wall Street into academia

   
   

   Papers Referenced

• Ume, E. (2025). Racial Disparities and Monetary Policy: Evidence from Augmented Taylor Rules. Economic Letters, 257, 112692. https://doi.org/10.1016/j.econlet.2025.112692

• Ume, E., & Williams, M.J. (2018). The Differential Impact of Monetary Policy on Blacks and Whites since the Great Recession. Journal of Economics, Race, and Policy, pp 1-13.

• Burgess, O. & Ume, E. “Stablecoin Flows and Money Market Conditions.” Under review