1650: AI Leadership and Decision Speed for Business with Jason M. Riggs

In a world where anyone can spin up a website, ship an app, or publish a book with AI in a fraction of the time it used to take, the real competitive advantage isn’t execution, it's judgment. As tools accelerate the “doing,” the real constraint shifts to how quickly and clearly leaders can make the right decisions. Today’s guest, Jason M. Riggs, AI business leader, award-winning author, and creator of the Mach 10 Leadership series joins us to show how executives, founders, and product managers can operate at true “decision speed” without letting AI drive their teams and businesses into chaos. Jason shares how AI has collapsed execution time across software, hardware, cloud, and applied AI, and why that makes most traditional corporate processes obsolete. He breaks down the core idea behind his books, “The Mach 10 PM” and “The Mach 10 Leader: AI Native Leadership at Decision Speed”: when execution accelerates, your decision system has to evolve, or your approvals, alignment meetings, and “coordination tax” will quietly kill your best ideas. Jason explains why ownership and accountability must replace vague group consensus, and how to design decision loops that keep up with AI-level velocity.<br />

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Jason also takes us behind the scenes of AI-native order taking in quick service restaurants (QSRs), where seemingly simple problems (“just take a burger order”) hide massive complexity: brand-specific language, modifiers, combos, coupons, point-of-sale integration, and more. He warns about the rise of “AI English” or “Clodlish” content and instructions that technically make sense to machines but are confusing and exhausting for humans. Throughout the conversation, he makes a strong case that raw LLMs don’t care about your time, money, or brand, which is why human judgment cannot be outsourced, especially when you’re building core customer experiences.Beyond his day job, Jason talks about using AI as a true enabler in his own indie publishing journey launching books, rebuilding his website, learning Amazon and Google ads, writing press releases, and building a full ecosystem around his ideas. He shows how AI can compress the learning curve of “10 different jobs” into one person’s tool-assisted workflow, as long as you’re willing to ask sharp questions, compare multiple models, and constantly pressure-test outputs with humans.<br />

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https://youtu.be/doH8h0b0JBU?si=SOPkT6kcdbjGyuui<br />

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