A Message from VantagePoint AI 
The Paralysis by Analysis Fix: Finding Trades Without the Guesswork Ten indicators open across three screens. The oscillator says one thing. The moving averages say another. Volume tells a third story. And while you weigh all of it, the setup you were watching an hour ago is already gone. That is not a discipline problem, and it is not a knowledge problem. You are not short on information. You are buried in it, and one more indicator was never going to break the tie for you. The problem is the method. What a clear read looks like in a recent forecast for Roblox ($RBLX): 
$RBLX saw over 37% in just 22 days The AI forecasted the reversal in $RBLX, and the stock went on to see gains of over 37% in just 22 days. No debate between ten indicators. One forecast, ahead of the move. SAVE MY FREE SEAT > Free • Live • Seats Are Limited To your success, Lane Mendelsohn, President
Vantagepoint AI, LLC
1-800-732-5407 U.S. & Canada Please note examples are from past data, success stories, and atypical. Trading involves financial risk and is not suitable for all investors. Past results do not guarantee future performance. Trading involves substantial risk of loss and is not suitable for every investor.
Ray Dalio Says the AI Boom Is a Classic Bubble, but It Hasn't Popped Yet
Ray Dalio thinks the AI boom looks like a bubble. He also thinks it hasn't popped yet. The Bridgewater founder made his case earlier this month at a Forbes Global CEO Conference panel in Singapore. He shared the stage with the heads of Franklin Templeton, Temasek and Bangkok Bank. His read is that the AI boom behaves like a classic bubble. Spending is concentrated in a small group of companies, and more of it is being paid for with borrowed money. Then he got to the part that matters most. Dalio said a bubble starts to burst when a flood of debt meets rising interest rates. So where are we? Dalio put the market just short of that point. He said, “I think we're close to that.” His second trigger is a clever one. Bubbles usually get pricked, he said, when holders want to sell large amounts of wealth to raise money they can spend. That leans on a distinction he keeps returning to. Money is a claim on goods and services. Wealth is the capacity to produce them. In plain English, a portfolio can look like wealth, but only cash pays the bills. When lots of people try to swap one for the other at the same time, prices can crack. He also drew a line between how great a technology is and how great an investment is. Those aren't the same thing. Dalio described all of this as happening in a period of great disorder. He pointed to high global debt, growing political and social conflict, geopolitical tension, climate change and new technologies. Others on the panel added color. Franklin Templeton CEO Jenny Johnson said private credit is making it harder to see how much money the AI buildout really needs. She added that hyperscalers running lots of debt can deliver short-term returns, but investors should keep the longer-term risks in view. He also pointed to places he sees opportunity. Those included Asean countries, companies that benefited from AI but aren't labeled that way, and commodities. Dalio's own habits point toward balance. As a global macro investor, he said, it helps to hold 10 to 15 return streams that don't move together. What it means for youNobody can time a bubble, and Dalio didn't claim to. His point is about the mechanics: what tends to pop one, not exactly when. Two things are worth watching if you follow this theme. One is whether borrowing costs keep climbing. The other is how much of the AI spending is funded with debt instead of cash. Keep the technology-versus-investment line handy too. A company can change the world and still disappoint someone who paid too much. This is one investor's view, not a forecast.
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