The Digital Executive

In this episode of The Digital Executive Podcast, host Brian Thomas sits down with Edwin Miranda, founder of Konsultora, to explore what it actually means to build an organization for the AI era — not just one with more tools, but one with less distance between a signal, a decision, and an action. Edwin opens by tracing the common thread across his career in advertising, political strategy, and customer experience: competition and decision-making. Every domain is ultimately about understanding what is changing, making better decisions faster, and adapting before your competitors do. AI, he argues, is the first technology that can sit inside that process and accelerate every step of it. He then addresses the economic pressure bearing down on traditional agency and consulting models — research that took weeks now takes minutes, media buying is increasingly algorithmic, content scales infinitely, and reporting can be automated — meaning businesses built on selling hours to produce those outputs are facing an existential reckoning. The answer is not to resist but to rebuild: moving from selling execution to building the systems, workflows, and decision-making capabilities that let organizations operate differently. Edwin then tackles the accountability question head-on, arguing that as AI moves from answering questions to taking actions, agents need identities, permissions, and audit trails just like any employee — because autonomy without accountability is not transformation, it is risk. He closes with a nuanced take on the human-versus-AI debate, rejecting the framing entirely. The goal is not to remove humans but to remove friction around them, freeing up human capacity for the judgment, creativity, and trust that machines cannot replicate. The companies that thrive will not be those that simply bought AI first — they will be the ones that learned to signal, decide, act, and adapt faster than the world around them changes.

If you liked what you heard today, please leave us a review - Apple or Spotify.

Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

If you liked what you heard today, please leave us a review - Apple or Spotify.

Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

If you liked what you heard today, please leave us a review - Apple or Spotify.

Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

If you liked what you heard today, please leave us a review - Apple or Spotify.

Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

If you liked what you heard today, please leave us a review - Apple or Spotify.

Learn more about your ad choices. Visit megaphone.fm/adchoices