Unearthing AI's Gold Rush

It's not in blue chips like Google or Nvidia... [Shield] AN OXFORD CLUB PUBLICATION [Liberty Through Wealth]( [View in browser]( SPONSORED [Extreme Dividends: Discover How to Target Ultimate 100% Yields]( With all the stock market fluctuations, you might be inclined to put your money in a low-risk CD that pays 5%. But don't be a chump... 5% is GARBAGE. [Especially when you can buy solid stocks that PAY YOU to own them.]( And get this... with 6 simple steps, you can discover how to target stocks that could ultimately pay you 100% of what you put in... every single year! [Click here for the urgent details.]( EDITOR'S NOTE Whatever you do, do NOT invest in the wrong artificial intelligence (AI) companies. Most people make the mistake of listening to the mainstream media and investing in megacap companies like Nvidia, Microsoft or Google. But they're already huge! [The real money is in the smallest companies with the biggest upsides...]( Manward Press Chief Investment Strategist Shah Gilani has compiled a list of the absolute best AI stocks in the market today - [and they're all trading for around $5](. And he's revealing all the details on why these stocks will be the biggest winners of the $15.7 trillion AI revolution. [Watch his presentation here.]( - Nicole Labra, Senior Managing Editor THE SHORTEST WAY TO A RICH LIFE [Unearthing AI's Gold Rush]( [Shah Gilani | Chief Investment Strategist | Manward Press]( [Shah Gilani]( Unless you've been living under a rock, you've at least heard about generative artificial intelligence (AI) products such as ChatGPT. These programs have a lot of uses. They can serve as brainstorming partners or catalysts for the discussion of new ideas... generate first drafts for writing projects... process and summarize documents... repurpose content so it can be used for different audiences... accelerate your learning in areas you're not familiar with... guide business processes... accelerate coding... and develop conversational support bots... to name just a few. Looking at those examples, you can see that the uses of generative AI are far wider - and much more beneficial - than just having ChatGPT finish a school paper or write your friends funny emails in the voice of a famous author. To give you an idea of how widespread AI already is and how much room it still has to expand, consider that while 9 out of 10 leading businesses are already invested in AI technologies, only 14.6% have deployed AI capabilities in their operations. That means there is still an enormous adoption rate on the horizon - and that's creating a huge opportunity. But here's the problem... SPONSORED [Putin's boneheaded mistake could make Americans INCREDIBLY RICH!]( [Putin Infuriated]( Source: [Wikimedia Commons]( The mainstream media isn't talking about this, but Americans who catch on early to this mistake made by Vladimir Putin... could become wealthy. This will be sure to infuriate him! [ Click Here to See How]( Nearly every company in the S&P 500 is talking about AI. And not all of them will hit the bull's-eye. There are specific plays that will pay off... [if you know where to look](. Gold Rush I like to think of AI as being similar to the California gold rush. Most prospectors never struck it rich, but they did spend a lot of money on tools, supplies and clothing - and that generated huge profits for companies like Levi Strauss. [What are the pick-and-shovel companies of AI?]( Your first guess would likely be the semiconductor chip manufacturers that provide the processing power for generating results. You can't have AI without them. I'm talking about names like Nvidia, Advanced Micro Devices and Intel. But there's an even better pick-and-shovel play... Semiconductor chips are of no use until they are deployed in a machine that can put them to work. The most basic "tools" of the whole AI revolution are the large-scale data centers that are the physical epicenters of the AI ecosystem. Purpose-built AI data centers are facilities composed of networked computers, storage systems and computing infrastructure that leverage AI chips. They can run multiple computations at once as AI applications sift through enormous stores of data. These AI-specific data centers require massive investments in terms of capital and time. So the companies that have already begun transitioning their infrastructure to meet the demands of AI have a huge first-mover advantage over their competitors - and a large moat. Because of the growing demand, spending in the global AI infrastructure market (which includes data centers) is expected to reach $422.55 billion by 2029, growing at a compound annual rate of 44% over the next six years, according to research firm Data Bridge Market Research. Very nice. My favorite way to play data centers is Equinix (Nasdaq: EQIX), one of the largest data center operators in the world. It has 251 data centers... across 70 metro areas... in 32 countries... on six continents. Its portfolio of data center assets includes... - Network dense: 2,000-plus networks; 100% of Tier 1 network routes - Cloud dense: 3,000-plus cloud and IT service providers - Interconnected ecosystems: 460,000-plus total interconnections. That's an impressive portfolio... and it's boosting the company's financials. Going back to 2000, the company has increased annual revenue every single year. It went from just $13.02 million in 2000 to $7.26 billion in 2022. And over the trailing 12 months, revenue has increased once again, coming in at $7.95 billion. Most recently, the company reported third quarter results that included revenue of $2.06 billion, of which $1.96 billion was reoccurring revenue. On the bottom line, net income for the third quarter was $276 million, which represented a year-over-year increase of 30%. And here's the best part... Equinix not only is tied to one of the fastest-growing industries in the world and generates consistently increasing revenue... but it has also posted eight years of cash dividend growth since converting to a real estate investment trust in 2015. Speaking of the dividend, the company recently increased its fourth quarter dividend to $4.26 per share, a 25% bump from the third quarter. On an annual basis, the company will pay out $14.49 per share in 2023, a 19% year-over-year increase. I like Equinix's prospects as a solid AI pick-and-shovel play with plenty of growth and income ahead of it... but I've got my eye on some smaller plays with huge potential. I've just released details on three tiny AI companies that I think will CRUSH Nvidia, Microsoft and Alphabet... with up to 2,100% in upside targeted in the next three years. [Click here for all the details.]( Cheers, Shah [Leave a Comment]( [IU 2024]( WEALTH OPPORTUNITIES - ["I Guarantee You'll Have the Chance to Double Your Money - or More - on This Stock Over the Next Year." - Marc Lichtenfeld, Chief Income Strategist]( - [Proof: New "One Ticker Payouts" (You Can Do This Weekly!)]( - [Yikes Power Plug...]( - [The Real Cause of Higher Interest Rates]( JOIN THE CONVERSATION [Facebook]( [Facebook]( [LinkedIn logo]( [LinkedIn]( [Email Share](mailto:?subject=A%20great%20piece%20from%20Liberty%20Through%20Wealth...&body=From%20Liberty%20Through%20Wealth:%0D%0A%0DIt's%20not%20in%20blue%20chips%20like%20Google%20or%20Nvidia%0A%0D [Email Share](mailto:?subject=A%20great%20piece%20from%20Liberty%20Through%20Wealth...&body=From%20Liberty%20Through%20Wealth:%0D%0A%0DIt's%20not%20in%20blue%20chips%20like%20Google%20or%20Nvidia%0A%0D MORE FROM LIBERTY THROUGH WEALTH [Senior Couple]( [This Is How Much Retirees Should Have in Stocks]( [Bear Friend]( [Make the Next Bear Your Best Friend]( [Happy Businessman]( [The Best News I've Heard in Months]( [Bond blocks]( [Now Is the Time to Buy Bonds]( SPONSORED [Quit the Stock Market... and Sleep at Night]( [man sleeping well]( Marc Lichtenfeld, The Oxford Club's Chief Income Strategist, is revealing an exciting way to generate more than 100% [predetermined returns outside the stock market - in as little as two years](. 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