Welcome to another episode. I’m your host, and today we're going to embark on an unexpected journey. A journey that takes us to the year 2035, to the dawn of autonomous portfolios, to a vision of finance that feels as far-fetched as a science fiction novel, and yet, is closer to reality than we might imagine. Imagine you're a retail investor, and you've got an AI portfolio engineer at your fingertips. This isn't just any AI. This AI talks to multiple brokers, harvests real-time data, and even re-writes its own trading code as market conditions change. It's like having your personal Wall Street whiz, but instead of a power suit and a six-figure salary, it costs you as much as a Spotify subscription. Sounds crazy, right? But hold onto that thought. Because what feels crazy today often becomes the obvious reality of tomorrow. Consider the evolution of self-driving cars. Once upon a time, the idea of a car driving itself was pure science fiction. Yet, here we are, with Tesla's autopilot as commonplace as cruise control. The shift from manual to autonomous didn't happen overnight, but it happened. And it's happening now, in the world of finance. Imagine the absurdity of a future person looking back on our era. To them, it would feel ludicrous that humans once copy-pasted strategies into brokers, manually rebalanced, or trusted black-box funds without line-by-line auditable code. So how does this futuristic vision become a reality? It's a collective effort, driven by advancements in AI agents, tokenization and settlement, reg-tech, data rights, and compute cost. Each of these drivers, seemingly daunting tasks today, morph into the 2035 reality, shaping the landscape of finance and making the autonomous portfolio the new normal. But let's get granular. Let's talk about companies like LumiWealth and BotSpot, who are pioneering this revolution. They're aiming to become the “Operating System” for Autonomous Portfolios. They're building agent frameworks, unified execution rails, on-chain audit layers. They're transforming compliance into a feature rather than an obstacle. They're creating an "App Store for Trading Agents", and they’re at the heart of a data flywheel that offers “data dividends” to users. What's fascinating about these ventures is the audaciousness of their vision. They're not just aiming for incremental changes. They're targeting a 100-fold increase in distribution, embedding in brokers, hooking into the creator economy, and ambitiously targeting under-brokered regions where on-chain settlement could leapfrog legacy rails. And yet, amidst the audacity, there's a clear roadmap. There's a focus on metrics that matter, like the average time from idea to live bot, the percentage of orders with on-chain audit hash, creator royalty payouts, and users hitting goal-based milestones. If you're wondering why I'm sharing all this, it's because this vision of the future of finance is more than just a fascinating thought experiment. It's a blueprint for what could be, a testament to human ingenuity, and a reminder that the boundary between crazy and obvious is often just a matter of time. Our journey today has taken us to an unexpected destination, a future where finance is as self-driving as a Tesla on autopilot. But as we've seen, that future isn't so far off. With the right vision, the right tools, and the audacity to challenge the status quo, we're on the brink of a revolution that could reshape the world of finance. And who knows? One day, you might just look back at this episode and think, "Well, of course. It was obvious all along." Until then, keep dreaming, keep innovating, and remember that the world of tomorrow is often born from the "crazy" ideas of today. So, what's your "crazy-today / obvious-tomorrow" bet? And more importantly, what are you doing to make it a reality? Until next time, stay curious, stay audacious, and let's keep pushing the boundaries of what's possible.