♟ Where to Make Money From AI's Gold Rush

It's not in blue chips like Google or Nvidia... [Trade of the Day Logo] [View in browser]( [Image of a robot playing chess]( Editor's Note: It's no secret that artificial intelligence (AI) is having a major impact on the markets in 2023. But whatever you do, do NOT invest in the wrong AI companies. You see... 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! In today's guest article, Shah Gilani, the new Chief Investment Strategist over at Manward Press, discusses why you have to focus on the smallest companies with the biggest upside. Shah has also compiled a list of the absolute best AI stocks in the market today - [and they're all trading for around $5](. In a recent presentation, he revealed all the details on why these stocks will be the biggest winners in the $15.7 trillion AI revolution. [See the presentation here.]( - Ryan Fitzwater, Publisher --------------------------------------------------------------- ["Semiconductor chips are of no use on their own until they are deployed in a machine that can put them to work."]( Shah Gilani, Chief Investment Strategist, Manward Press [Shah Gilani] Unless you've been living under a rock, you've at least heard about generative 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 [enormous potential for growth and widespread adoption]( - and that's creating a huge opportunity. But here's the problem... 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. ["Forget diversification. Focus on 1 stock instead."]( [Nate Presentation]( This trader turned $37K into $2.7 million in 4 years. Now see how he's trading with just 1 stock ticker over and over. [Watch Here]( 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. So 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 (NVDA), Advanced Micro Devices (AMD) and Intel (INTC). But there's an even better AI pick-and-shovel play... Semiconductor chips are of no use on their own 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, computing infrastructure and storage systems 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. Spending in the global AI infrastructure market (which includes data centers) is expected to reach $422.55 billion by 2029 to meet the growing demand. That equates to a compound annual growth 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 (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 its annual revenue every single year. It went from just $13.02 million in 2000 to $7.26 billion in 2022. And over the past 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... Not only is Equinix tied to one of the fastest-growing industries in the world and generating consistently increasing revenue... but it has also posted eight years of cash dividend growth since becoming a real estate investment trust (REIT) in 2015. Speaking of the dividend, the company recently increased its fourth quarter dividend to $4.26 per share, a 25% increase 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. [Logo] YOUR ACTION PLAN I like Equinix's (Nasdaq: EQIX) 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 (Nasdaq: MSFT) and Alphabet (Nasdaq: GOOGL)... with up to 2,100% in upside targeted in the next three years. [Go here for all the details.]( Cheers, Shah [Sub-$3 Blue Chip Could Be 2023's Top Performer!?!]( The question many investors are asking is pretty simple... With overvalued stocks collapsing, what stock can I actually buy that still has a chance to go up? [Top Performer]( Where are the BIG gains going to come from next? A sub-$3 stock I'm calling The Last Great Value Stock could be it. [Click here to see how to unlock this pick - trading for less than $3.]( [Smile] FUN FACT FRIDAY Humans' ability to smell petrichor (the smell of wet earth after rain) is greater than a shark's ability to smell blood in water. 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