The Digital Executive

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Michael Ashoori, founder and president of Ashoori Law, to cut through the confusion that surrounds U.S. immigration for entrepreneurs, investors, and skilled professionals. Michael opens with the personal foundation of his practice — as the first American-born member of an immigrant family, he brings an empathy to client relationships that goes beyond legal expertise, drawing directly on his parents' experience of building a life and a business in a new country. He then tackles the most common misconceptions he encounters: that there are only a handful of immigration pathways available, that investors must commit to high-cost options like the EB-5, and that clients need to have everything figured out before they ever pick up the phone. In reality, Michael argues, an early consultation with an immigration attorney is one of the highest-leverage moves a founder or investor can make — not only because there are often multiple compelling pathways worth weighing, but because many firms charge flat fees regardless of when you engage, meaning waiting until you have done all the legwork costs you the most valuable part of the relationship. He addresses AI's growing role in immigration law honestly: it can make certain aspects of case preparation more efficient, but it is not a substitute for the strategic judgment that defines good immigration counsel, and any usage must be grounded in professional ethics. He closes with a candid, speculative look at where immigration is heading — acknowledging that employment-based categories tied to labor market demand may face pressure as AI and robotics advance, while investment and merit-based pathways may prove more durable. His bottom line: consult early, understand your options, and do not assume the path you have heard about is the only one available to you.

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In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Tarek Saab, CEO of Texas Precious Metals, to explore why where your gold sits matters more than most investors have ever stopped to consider — and what it took to build the infrastructure to do something about it. Tarek opens with the founding story of Texas Precious Metals in 2011, when the precious metals industry was still largely offline and shipping high-value packages safely across the country was a logistical and insurance puzzle nobody had cracked. He traces the company's growth from a pioneering e-commerce model to one of the world's most technologically advanced depositories, with more than fourteen billion in assets under custody secured by SWAT teams, facial recognition, fog detectors, and real-time bar-level accounting that tracks every ounce like a seat in a stadium. The conversation then shifts to the central premise behind the Yall Street ETFs: more than ninety-five percent of the metal backing US gold and silver ETFs is held overseas, with the vast majority in London. Before COVID, geopolitical instability, supply chain disruption, and the 2022 removal of Russia from the SWIFT system, that largely didn't matter. Now it does — and Tarek spent fifteen months building out the depository network and bullion bank relationships needed to back ETFs with one hundred percent US-domiciled metal. He closes with a macro view of where precious metals are heading: what he sees as the early innings of a commodity super cycle, a financial world in structural transition, and gold that has quietly outperformed the S&P 500 total return by nearly two times over the last twenty-five years — with zero correlation to equities.

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In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Sahil Aggarwal, founder of Von, to make a blunt case that the go-to-market function has been left behind while every other part of the business got transformed by AI — and that the window to fix it is now. Sahil opens with a decade of conviction built from doing B2B sales himself, building software for it, and advising large pharma companies on sales efficiency: the deals were never won because of the product or the CRM. They were won because of the workflow around it, and that workflow has always been broken. He then delivers a striking data point — while the industry talks about sellers spending seventy percent of their time on admin, Von's own study of over a thousand sellers found the real number is even worse. Less than fifteen percent of a seller's day is spent on customer-facing activities. The rest is prep, follow-up, CRM updates, and busywork that AI can now handle. He draws the analogy to Henry Ford's transition from horse-drawn carriages to the combustion engine — a shift so fundamental it required rethinking the entire form factor, not just the engine — and argues that go-to-market is at exactly that inflection point now. Von sits at the intelligence layer, connecting to a company's full go-to-market stack and handling pipeline analysis, forecast prep, territory planning, and Salesforce updates in plain language. He closes with a bold prediction: the models capable of delivering this future already exist. Quoting Anthropic's Dario Amodei, he argues that even if AI development stopped today, the current capabilities haven't fully distilled into society yet — and a revenue org that figures that out first can generate three to five times more output with the same team.

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In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Gary S. Michel, former Chairman and CEO of JELD-WEN and author of Decomplify, to explore why the most dangerous thing a leader can do is mistake busyness for progress. Gary opens by tracing his path from mechanical engineer to global CEO, noting that he never set out to run a company — he just kept chasing bigger problems, until he realized the hardest ones were never technical. They were organizational. That insight became the foundation of his leadership philosophy and his book, which centers on a single uncomfortable truth: organizations don't get complicated because people are careless — they get complicated because people care too much, too fast, adding meetings, metrics, and initiatives with good intentions until the original purpose gets buried under what he calls process debt. He defines simplicity not as a style but as a discipline — the hard, daily work of saying no, identifying the critical few things that actually matter, and subtracting everything that doesn't move the organization forward. He is careful to distinguish simple from easy: simple is the destination, and getting there requires leaders to constantly ask who they are solving for and what they can stop doing to make room for what actually counts. He closes with a clear-eyed take on AI — not dismissive, but grounding. AI will amplify organizations, not fix them. If a company lacks clarity, purpose, or healthy culture, AI will help it become confused faster. The leaders who win will not be the ones with the most technology. They will be the ones who know which decisions belong to AI and which belong to people — and who use every tool available to eliminate complexity rather than create it.

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In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Dr. Christopher Sprague, CEO and co-founder of Enluma Leadership Group, to make the case that one of the most valuable investments a company can make has been locked behind a velvet rope for decades. Chris opens with an unlikely origin story — a high school calculus teacher who created an environment where students worked harder than they thought possible and actually loved doing it — and traces how that memory followed him through a PhD in toxicology, twenty years of leading complex transformations across Fortune 100 pharma companies, and eventually to founding a leadership platform built for the people organizations consistently overlook. The middle. Not the high performers or the low performers, but the sixty-five to eighty percent of the workforce that keeps things running — and that a ten percent improvement in would transform an entire company's culture, productivity, and revenue. Chris breaks down why high-quality coaching has historically stayed at the top of the org chart: it has always been human-heavy, expensive, and unscalable. AI changes that equation, but not by replacing the human element. Enluma's approach uses AI for the spark — curiosity-based questions, nudges, action plans — while insisting that real behavior change only happens in an environment where people try, fail, get feedback, and learn alongside others. He closes with a sharp critique of how organizations measure leadership development today — counting completed workshops and training hours instead of behavior change and business impact — and argues that until companies measure what actually matters, they will keep getting what they have always gotten: notes that collect dust on a shelf and people who go right back to their old habits on Monday morning.

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