We need YOU to beat China

Limited Time Opportunity ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ Hello investor The stake is high in the AI era because the world order is at risk of being disrupted. PwC estimates AI deployment will add $15.7 trillion to global GDP by 2030. You may have heard of this number. But here’s another key number to know – the firm believes China will take home nearly half of that total gain at $7 trillion. North America is projected for just $3.7 trillion in gains. Now is the time when the United States absolutely needs to win the AI arms race – or lose its status as the world leader to China. Dr. Kai-Fu Lee has a unique insight into the AI arms race. He held executive positions at Microsoft and Apple before becoming the President of Google China. And he eventually backed nine unicorn Chinese startups before founding his own generative AI startup that recently reached $1 billion in valuation. He argued that successful AI algorithms need three things: - Big data - Computing power - Good (but not necessarily elite) AI algorithm engineers The last two things are not strong competitive moats. Other companies can catch up on computing power by reverse-engineering hardware or simply paying to use cloud computing – such as Microsoft Azure. No star engineers can do anything with AI without a massive amount of data. After all, an algorithm designed by a team of mid-level AI engineers with more data will likely outperform one designed by a world-class deep-learning researcher. Indeed, data is the heart of the AI arms race. That’s why you hear Elon Musk arguing that his new generative AI (called Grok) will be more superior to ChatGPT because of its access to X’s treasure trove of data. And you see more companies like Reddit charging arms and legs for startups to mine data from its millions of posts. Dr. Kai-Fu Lee pointed out that China has 3.38 times more Internet users than the United States which gives Chinese companies far more data to train their AI models on. What does this mean? The race to create superior AI software is going to be intense between the USA and China. We’ve witnessed the rise of TikTok in America, and despite politicians’ best efforts, the app continues to dominate in our country. Even Big Tech (such as YouTube Shorts and Instagram Reels) couldn’t beat TikTok. So, China has become a formidable competitor in consumer technology products. There is no time for us to rest on our laurels. Especially in the world of finance where consumers are clamoring for better products but don’t want to give sensitive information to foreign countries. Take investing as an example. Plenty of Main Street folks want to generate alpha returns for their portfolios. But where can they find them? Hedge funds that can beat the markets are largely closed to their own money and billionaires. They won’t take your money. What about all other mediocre hedge funds, mutual funds, and ETFs? Fees, fees, and fees. They are in the business of charging you fees while underperforming the S&P 500. Is it fair? Absolutely not. So, TradeAlgo is developing groundbreaking AI technology with the goal of trading stocks automatically for retail investors. We believe that AI could open up an opportunity for retail investors to enjoy hedge fund-style services without paying millions of dollars in fees. How? Our engineers are training AI models on mountains of data – such as historical data. The goal is to uncover patterns and turn them into “super-intelligent” trades. You have an opportunity to become an investor by owning private shares in TradeAlgo – and help us build the AI platform with the goal of helping retail investors generate alpha returns… …and seize the AI leadership and keep it in the United States. Come and join the revolution at TradeAlgo. But I must warn you that shares are extremely limited. So, hurry and click the button below to reserve a time with our team: Jon Stone CEO [TAKE ADVANTAGE OF THIS EXCLUSIVE OFFER]( No longer want to receive these emails? [Unsubscribe](. Trade Algo 401 Park Ave S New York, NY 10016, NY 10016