[TL;DR Daily Highlights] Let me say something blunt: Many are still fixated on next week’s price movements, but Jan VanEck has already stretched his ruler out to the next 10 years. In asset management, what truly determines success isn’t fleeting trends, but the few underlying forces that slowly rewrite market structures—like governments unable to stop spending, AI beginning to control information flows, and blockchain shifting trading hours from “business hours” to “never closed.” If token demand is now being modeled and predicted, do you still think investing follows the old script? 🤖 🔥 In Jan VanEck’s latest interview, the core message isn’t simply “which assets to buy”—it’s a 10-year investment roadmap: - VanEck’s current AUM is approximately $235 billion, with around 550 employees globally. - In recent years, roughly half of net inflows have come from outside the U.S., primarily from Europe and Asia. - He evaluates the future through four lenses: government spending, monetary policy, regulatory shifts, and technological innovation. 📌 The 10-Year Framework: Don’t Fall in Love with Noise - Jan’s investment philosophy is straightforward: No one can reliably predict daily events—what matters is long-term asset allocation over a decade. - He’s closely monitoring three key themes: AI, India, and government spending risks. - In other words, the market debates emotion daily; he cares about how institutions, fiscal policy, and technology are rewriting valuation logic. 📌 India: The Underestimated “Digital Nation Experiment” - Jan predicts India’s economy could reach the size of Europe’s within 10 years. - His bullishness isn’t hype—it’s grounded in two structural shifts: mass digitalization and regulatory reform. - Widespread smartphone adoption, monthly data plans costing just a few dollars, and national digital ID systems have drastically reduced friction in account opening, transfers, and investing. - One Indian brokerage added 1 million new securities accounts in a single month after regulatory liberalization. That’s staggering—it shows it’s not that people want to invest; it’s that infrastructure now allows them to. - Simultaneously, reforms in labor laws and bankruptcy codes are unlocking corporate dynamism. Put simply: the system used to tie economic weights around its ankles; now it’s systematically removing them. 📌 AI: From Tool to “Demand Prediction Engine” - Jan defines AI simply: It’s not magic—it’s software that’s faster, better, and capable of writing software. - The more profound shift? AI may enable markets to systematically forecast token demand for the first time. - VanEck’s internal modeling suggests token usage could grow 8x in the first year, followed by ~25% annual compound growth thereafter. - This is significant. Traditional industries have long modeled demand for burgers or subscriptions—now, usage demand on crypto networks is entering the realm of quantifiable modeling. - If this trend holds, token valuation will increasingly resemble “pricing of digital economy production inputs,” not just emotional trading. 📌 How VanEck Uses AI: No Magic—Just Reconstruction - They don’t treat AI as just an “advanced search box.” They’re rebuilding workflows. - Eighteen months ago, AI couldn’t read PDFs. Six to seven months ago, Jan was frustrated that agents couldn’t connect to email or calendars—now these are nearly standard. - The firm spends ~$2 million annually on AI and imposes no restrictions on employee usage—he doesn’t want process friction to stifle adoption. - The IT department has been restructured: Only ~20% of staff now write code; the rest focus on data integration, application coordination, and knowledge sharing. - Remember this: AI adoption isn’t about buying models—it’s a systems engineering challenge of “data + software + people.” The cost isn’t in the hype—it’s in cleaning up the data. 📌 U.S. Fiscal Risk: Gold and Bitcoin May Not Be Sexy—but They Could Be Lifesavers - Jan’s assessment is clear: The U.S. faces structural fiscal risk—and the next crisis may erupt from Washington, not the banking system. - His response? A portfolio must include tangible hard assets: gold and bitcoin. - Why? You don’t know when disaster strikes—but when it does, these won’t be “bonus assets”; they’ll be survival assets. - He notes China has significantly reduced its U.S. Treasury holdings from peak levels and bought nearly half of global gold production this year—much of it sourced from private investors. - Can AI-driven deflation fix government deficits? His reply is instantaneous: No. Pension and healthcare obligations won’t magically become cheaper just because software gets smarter. 📌 Crypto ETFs: Single-Token Expansion Is Peaking—Active Management Is Next - VanEck has launched 13 crypto ETFs in Europe and is aggressively expanding in the U.S. - But Jan believes the phase of expanding single-token ETFs is nearing its end; the next phase will favor actively managed products. - Why? Most financial advisors can’t clearly distinguish between Avalanche and Ethereum, let alone dynamically allocate for clients. - So the future will likely follow two paths: 1) Infrastructure-level portfolio construction; 2) All other assets via indexing or active management. - This means crypto ETFs are evolving from “just another market entry point” to “a tool for filtering and allocating.” 📌 Tokenization & 24/7 Trading: Traditional Finance’s Office Hours Are Outdated - Jan believes blockchain is transforming Wall Street’s back office into a 24/7 operating system. - Franklin Templeton has even launched a money market fund for Uber drivers—with real-time pricing and settlement on weekends—powered entirely by on-chain infrastructure. - He puts it perfectly: Blockchain’s ideal state is when users don’t even notice it—but their lives run smoother. - Products like “sports ETFs” will become emblematic—games end at night or on weekends; investors naturally want to trade immediately, not wait until Monday open. - So 24/7 isn’t a gimmick—it’s finance infrastructure finally aligning with real-world time. 📌 AI Agents: Not Sci-Fi Sidekicks—But the Next Generation of Investment Interfaces - Jan highlights that global website traffic is flat or declining—not a bad sign, but evidence that AI is taking over information access points. - VanEck has piloted an integration with an RIA, opening its MCP interface so the RIA’s AI agent can directly pull documents and data from VanEck’s databases.• Previously, advisors had to call sales, look up information, and wait for responses; now, agents can retrieve data and answer directly. • He even predicts that, in the future, people will entrust software agents with financial permissions as routinely as they set up automatic payments. • This is precisely AgentFi: agents aren’t just chatbots—they’ll become a new intermediary connecting capital flows, information flows, and decision flows. 📌 The ETF Industry in Five Years: Retail Investors Expected to Dominate, Content Over Sales Pitch • Jan expects the proportion of retail investors buying ETFs directly through low-cost brokers to rise from today’s ~25% to 50%. • To prepare for this shift, VanEck’s strategy isn’t to push products harder, but to create better content, interviews, and educational resources. • Because retail investors don’t want standardized sales scripts—they want to know: What’s your real view of the world? My own takeaway is straightforward: the most compelling insight from this conversation isn’t “gold vs. bitcoin” or “will India take off?”—it’s a deeper signal: the asset management industry is being rewritten simultaneously by AI, on-chain infrastructure, and agent interfaces. Research, distribution, trading, and advisory will all transform. The question arises: when agents can read data, make allocations, and move funds, what will truly become scarce in the future—information, judgment, or trust? #AgentFi #AIAC #CryptoETF #Bitcoin #Gold #AIAgent #Tokenization #India #Macro