The National Restaurant Association just asked Congress for a two-year delay on a federal ban that could wipe out a $1.6B opportunity for restaurants. Paul Molinari breaks down the THC beverage story hiding in plain sight: a November 12, 2026 deadline, thin margins pushing operators toward low-dose THC drinks as alcohol alternatives, and a tech and insurance gap nobody's built for yet.

The clock, the money, and the gap. Modern Solutions for Modern Restaurants.

McDonald's just rewrote their playbook. Here's what it really means for the restaurant tech industry.

McDonald's unveiled McDonald's > NEXT — a sweeping new strategy covering menu upgrades, influencer marketing, restaurant redesigns, and a brand new AI operating system called ArchIQ. CEO Chris Kempczinski's message was blunt: "In a world where every restaurant is a swipe away, there is no such thing as second place."

But here's the thing — McDonald's has been down this road before. Dynamic Yield. IBM. The Automated Order Taker. $300M acquisitions and viral drive-thru fails. So what's actually different this time? And more importantly — what does it mean for every operator, founder, and tech vendor competing in this space?

In this episode of Modern Solutions for Modern Restaurants, Paul Molinari breaks down:

🍟 The four pillars of McDonald's NEXT — and the one most people are completely underrating. ArchIQ explained — why this AI operating system is a fundamentally smarter bet than what IBM tried to build. The honest retrospective — Dynamic Yield, AOT, McD Tech Labs, and the hard lessons from 2019–2024. The ripple effects — what this means for QSR tech vendors, franchisees, implementation partners, and operators at every level. The hospitality paradox — why the more automated McDonald's gets, the MORE important human connection becomes

If you're in restaurant technology — building, selling, or partnering — McDonald's isn't just a case study anymore. They might be your next competitor. More MSMR at https://popcorngtm.com

Restaurant operators are sitting on more data than ever — and more confused about what to do with it than ever. In this episode of Modern Solutions for Modern Restaurants, Paul Molinari sits down with Eric Lehto, CEO of OpSage by CONVX, to cut through the noise around AI in restaurants and get honest about what it actually takes to make it work.

Eric has spent years inside the data strategy conversations that multi-unit operators rarely share publicly — the ones where a single brand has 10 or 12 disconnected systems, two different POS platforms that don't talk to each other, soft drink flavors that only exist in inventory, and franchisee P&L reports arriving as manual spreadsheets. The data problem, he explains, is bigger and more expensive than most operators realize — and almost impossible to solve with legacy BI tools or general-purpose AI alone.

00:00 AI Promise vs Reality

01:33 Operator Data Chaos Story

06:10 Why Restaurant Data Is Hard

07:50 AI for Cleaning Data

08:28 Restaurant AI Needs Context

11:16 Why POS Cannot Solve It

12:39 Building AI Ready Data

15:22 Security and Zero Trust

20:53 Integration Expectations

24:46 Why Not Just ChatGPT

28:00 Monday Morning With AI

31:28 Ask Your Restaurant Anything

33:28 Final Advice and Wrap Up Episode links: OpSage: https://opsage.com Eric Lehto: https://www.linkedin.com/in/elehto/