The Digital Executive

Latest Episodes:

Antonio Mallia: AI Agents Need a Different Kind of Search | Ep 1305 Aug 18, 2026

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In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Antonio Mallia, founder and CEO of Seltz.ai, to explore one of the most overlooked infrastructure questions in the AI era: what happens to web search when the user is no longer a human? Antonio opens with a career that runs from the University of Pisa's information retrieval tradition through a PhD at NYU to research roles at Amazon, Pinecone, and Bloomberg — and traces the moment the idea for Seltz crystallized while building Alexa's question answering engine, when it became clear that the next consumer of search results was not a person but a machine. He then explains why Seltz took the harder path of building its own full retrieval stack from scratch rather than wrapping Google or Bing like most AI search products — and why that distinction matters deeply. Traditional search engines were optimized for human patience: ranked lists, short snippets, spell correction, ambiguous queries refined over multiple attempts. LLMs need something fundamentally different — full paragraphs without truncation, long and specific queries that nail the topic on the first attempt, and above all, freshness, because the one thing a model cannot learn in training is what happened after its cutoff date. Seltz also focuses its index on the content LLMs struggle most with — tables, financial records, SEC filings, and structured data that traditional crawlers skip and models cannot reliably memorize. Antonio closes with a prediction that reframes the entire stakes of what he is building: human search queries have plateaued, but machine queries are growing exponentially, and as people spawn multiple specialized agents to handle their knowledge work, the query load on web infrastructure will reach a scale never seen before. The companies that build for that future — with efficiency and freshness at their core — will define the next twenty years of the web.

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Harvey Liu: The Exchange Built by Traders, for Traders | Ep 1304 Aug 18, 2026

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In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Harvey Liu, CEO of LevX Exchange, to explore what happens when traders stop using exchanges and start building their own. Harvey opens with his origin story — one of the first Bitcoin investors in China in 2013, conducting due diligence on early exchanges like Huobi and OKCoin from a VC firm at a time when blockchain was still the Wild West, and nobody on an investment committee wanted to hear about it.

Over the following decade, he tracked the industry, moved to Singapore, reviewed over fifty Web3 projects, and eventually concluded he had the network, the technology background, and the trader's perspective to build something better. That trader-first philosophy shapes everything about LevX — from onboarding that collapses KYC to a single ID and selfie validated in under thirty seconds, to a multi-trade feature that lets users hold up to ninety-nine positions on a single trading pair simultaneously, something Harvey says no other major exchange offers. The community layer is equally distinctive: LevX works closely with reputable crypto KOLs to publish exclusive educational content and live trading feeds, and runs bug bounty and suggestion programs that give the most engaged users real influence over the product roadmap.

Harvey closes with a clear-eyed view of where exchanges are heading — toward consolidation, diversification into stocks and commodities, and a flight to quality as the pump-and-dump era fades. His conviction is simple: the exchanges that survive will be the ones that actually help their users build wealth, not just trade volume.

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Michael Ashoori: You Have More Immigration Options Than You Think | Ep 1303 Aug 13, 2026

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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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Tarek Saab: Your Gold ETF's Metal Isn't in America | Ep 1302 Aug 13, 2026

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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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Sahil Aggarwal: Sellers Sell Less Than You Think. | Ep 1301 Aug 12, 2026

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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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Gary S. Michel: The CEO Case for Radical Simplicity | Ep 1300 Aug 12, 2026

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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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Christopher Sprague: Leadership Dev Is Broken. AI Can Fix It. | Ep 1299 Aug 12, 2026

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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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Pedro Andrade: I'm in the Contact Center Industry to Reinvent the Contact Center | Ep 1298 Aug 06, 2026

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In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Pedro Andrade, VP of AI at Talkdesk, to challenge everything the industry thinks it knows about AI in the contact center. Pedro opens by drawing a straight line from the dot-com boom to today's AI wave — both rewarded the same thing: speed of execution, willingness to experiment, and relentless focus on customer value. He then breaks down Talkdesk's Customer Experience Automation framework — a discover, build, orchestrate, and measure cycle that starts not with a vendor pitch but with a company's own data, identifying where friction actually lives before prescribing any solution. The most valuable part of the conversation comes when Pedro confronts the gap between AI demos and real deployments head-on, describing much of his job as dismantling fairy tales. He walks through two concrete case studies: a telecom company that replaced a broken IVR tree with a conversational AI that lifted successful call transfers from fifty-five to eighty-seven percent and boosted sales conversion by twenty-six percent, and a back-office team where fourteen full-time employees manually qualifying leads across four systems were replaced by a single AI agent , freeing the humans for higher-value work.

He closes with a bold vision of the contact center's future: not a room full of agents answering calls, but a small team of humans monitoring a fleet of AI agents in real time, guiding rather than replacing them. And beyond that, a world where the contact center becomes unnecessary altogether, because AI anticipates the problem before the customer ever has to call.

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Mohan Gulatin: AI Is Reinventing the Neighborhood Pharmacy | Ep 1297 Aug 05, 2026

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In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Mohan Gulati, CEO and co-founder of Thinkrr.ai, to explore how voice AI is quietly transforming one of healthcare's most overlooked touchpoints — the independent pharmacy. Mohan opens with the moment that pushed him out of the enterprise world: watching Fortune 500 companies freeze in the face of AI while smaller businesses were eager to move fast and get started. That energy drew him toward SMBs, and eventually toward independent pharmacies, where a group of progressive owners reached out looking for a solution that simply didn't exist yet. What Thinkrr built handles between four hundred and six hundred patient calls per day at flagship accounts, with HIPAA compliance, under forty millisecond response times, and instant pharmacist handoff for anything requiring human judgment. Mohan explains how the team avoids the hallucination risk that makes AI in healthcare particularly high stakes — by breaking conversations into segments, grounding responses in live pharmacy management system data, and maintaining a constant observability layer that watches for anything going off the rails. He is clear that improvement, not perfection, is the goal, and that the system's design naturally limits the risk of serious errors because the physical safeguards of prescription pickup already exist. He closes with a vivid vision of the pharmacy in 2031 — not as a place that answers phones and fills pills, but as the front door to community healthcare, where AI and robotics handle the administrative and logistical burden so that pharmacists can do what they are uniquely qualified to do: provide real healthcare guidance to patients who need it and can't easily access a doctor.

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Peter Carnochan: Inside the Minds of Silicon Valley's Leaders | Ep 1296 Jul 31, 2026

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In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Dr. Peter Carnochan, psychologist, psychoanalyst, executive coach, and author, to explore what happens when three decades of deep clinical work meets the high-stakes world of Silicon Valley leadership. Peter opens by tracing his unusual path from studying Nietzsche at Harvard to working with troubled youth, explaining that philosophy and therapy were never separate pursuits for him — both were attempts to get to the bottom of things. He then unpacks countertransference, the central concept of his book Looking for Ground, and why a therapist's own emotional reactions in the room are not noise to be filtered out but signal to be read. Just as a golf pro learns more watching a full swing on the range than hearing a description of it over the phone, a psychoanalyst learns more from how a client makes them feel than from almost anything the client says. That same principle carries directly into his executive coaching work, where he pays close attention to how leaders impact him in the room — because that impact is likely a close approximation of what their teams, boards, and investors experience every day. He shares the story of a third-time founder navigating explosive growth, venture capital pressure, and the seductive pull of AI-enabled speed, describing the real work not as eliminating struggle but as learning to stay within the human realm rather than chasing an Icarus-like ascent. He closes with a reflection on what AI cannot replace in the therapeutic relationship — the deeply mammalian, biologically rooted experience of attachment and connection through which human beings develop agency, creativity, and the capacity to keep reinventing what it means to be fully alive.

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