๐Ÿ”„ Billionaires are switching it up


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January 4, 2026 | Read Onlineโ€‹

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๐Ÿ”„ Billionaires are switching it up

Find out where they're moving their money

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๐Ÿ‘‹ Happy New Year! We hope you had a fantastic holiday season filled with presents, good food, and good company!

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Cheers to a great 2026 ahead of us ๐Ÿฅ‚โ€‹
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What we've got in this edition:

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  • ๐Ÿšจ Market News Highlights.
  • ๐Ÿ’ฌ AI Prompts. Which AI company is likely to win the AI arms race?
  • ๐Ÿฅท Billionaire Trading Strategy. Where is smart money flowing?

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๐Ÿค– NVIDIA acqui-hires Groq Tech and Talent. The company is making strategic moves to take over the AI inference market.

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โšก๏ธ The 6 stocks that will benefit the most from Semiconductor sales rising past $1 trillion in 2026, according to Bank of America.

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๐ŸŒŠ These 5 AI infrastructure stocks have tripled (or more) over the past year by riding the Picks and Shovels trade wave.

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๐Ÿฆ The best and worst new ETFs of 2025, according to Morningstar.

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๐Ÿ“ˆ The 4 best performing stocks in the S&P 500 in 2025. Spoiler alert: They were all data storage companies.

EARNINGS

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Companies Reporting Earnings, Week of January 4th, 2026:

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๐Ÿค– AI Power Rankings: Who Actually Has the Edge Right Now?

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In 2025, everyone talked about the "AI winners", but who is really positioned to claim the "winner takes all" title?

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โฌ‡๏ธ Use the prompt below to compare the advantages/disadvantages of the biggest AI companies in an analysis breakdown.

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โš™๏ธ PROMPT: AI LEADER BREAKDOWN

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Role: You are a Senior Technology Consultant.
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Task: Conduct a comparative analysis for OpenAI, Anthropic, Google, and xAI.
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For each company, explain in simple terms:
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1. What makes their AI different or special
2. How fast they're improving
3. Where their AI actually shows up (apps, tools, platforms, devices)
4. How big their reach is (developers, businesses, consumers)
5. Whether they have the money and computing power to keep improving
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Then describe:
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1. Where each company is likely to be in 1 year
2. What could realistically change in 3 years
3. How strong their position could be in 5 years
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Finally, rank them from most likely --> least likely to become the "winner-takes-all" AI leader and explain why in plain English.

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๐Ÿ’ก Why This Matters

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This prompt forces the AI model to move past headlines and look at:

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  • real distribution (who can put their AI in front of the most users, the fastest)
  • real moats (competitive advantages that can't be replicated easily)
  • real execution (who releases new features/tools the fastest and most frequently)
  • real future positioning (who has the best long-term business strategy)

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Perfect for investors who want real competitive advantage analysis instead of superficial headline scanning.

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๐Ÿ’ฐ Billionaires Are Quietly Shifting from Magnificent 7 to Alternative Tech Stocks

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1๏ธโƒฃ For the last few years, the playbook was pretty simple:

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Buy Big Tech. Hold. Profit.

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But lately, billionaire investors and large hedge funds have been reducing their exposure to the "Magnificent 7."

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Not panic. Not (necessarily) bearish.

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๐Ÿ‘‰ Just smart risk management.

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2๏ธโƒฃ They're not ditching tech.

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They're rotating out of crowded stocks:

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  • Apple
  • Tesla
  • Alphabet (Google)
  • Amazon
  • NVIDIA

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Because when everyone joins the bandwagon, risk builds quietly and upside gets slowly chipped away.

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3๏ธโƒฃ So where's that (smart) money going now?

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Into AI infrastructure. The stuff that actually powers AI.

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  • Broadcom (networking + custom AI chips)
  • Advanced Micro Devices (accelerators competing in GPU space)
  • Micron Technology (memory powering AI compute)
  • Palantir (enterprise AI workflows)
  • Crowdstrike (cybersecurity for protecting AI systems)
  • Equinix (data centers)

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These companies will make a ton of money regardless of which AI model wins.

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4๏ธโƒฃ Why rotate out of the Magnificent 7?

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Because when a handful of stocks carry the market (Mag7 make up ~34% of S&P 500):

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  • valuations stretch (stock price rises faster than company's revenue/profits)
  • downside gets asymmetric (risk/reward is imbalanced)
  • future returns shrink (probability of continued big profits declines)

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Smart money re-allocates before this becomes obvious.

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5๏ธโƒฃ Here's the takeaway:

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You don't need to leave tech completely.

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You just need to diversify more (don't bet on just 1 or 2 stocks).

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6๏ธโƒฃ Bottom Line:

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Billionaires aren't broadcasting their strategy (so things don't get crowded again).

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They're just quietly:

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โœ… reducing concentration risk (aka diversifying their portfolio)

โœ… staying exposed to AI growth (still lots of room to grow)

โœ… shifting towards under-priced parts of the tech ecosystem (less crowded areas)

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Retail investors rarely see these types of shifts before they happen.

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Now you have investing alpha. Use it wisely.

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P.S. Read this article if you want more context.

Whenever you're ready to take the next step

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  • We're building a free paper trading tool you can use to practice investing with virtual money. Join the waitlist for early access.

๐Ÿ˜Ž Vibe Check

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Thoughts on this week's newsletter?

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โ€‹ ๐Ÿค‘๐Ÿค‘๐Ÿค‘ Keep 'Em Coming, Big Boy โ€‹

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๐Ÿค‘๐Ÿค‘ Not Great, Not Terrible โ€‹

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๐Ÿค‘ Weak Sauce โ€‹
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If this newsletter was forwarded to you and you thought it was ๐Ÿ”ฅ, you can subscribe here.

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๐Ÿ‘‡ Follow us on Twitter ๐Ÿ‘‡

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As always, thanks for reading and stay tuned for next week's edition!

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Tech Fizz Team, signing off ๐Ÿซก

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DISCLAIMER: The content in this newsletter is not financial advice; it is for educational and informational purposes only. Stocks can be risky and speculative. Please do your own research before investing.

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