76report

23076cf23d

May 24, 2025
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76report

May 24, 2025

How to Use AI to Become a Better Investor

It has been just over a year since 76research officially launched, yet just in this short time frame, artificial intelligence has meaningfully changed how we conduct research and create content.


Investors are rightly focused on AI as an investment theme. They should perhaps be just as excited about how they can use AI tools themselves.


When ChatGPT, the chatbot developed by OpenAI, first became publicly available in late 2022, it was seen by many as a fascinating novelty. Suddenly, you could have good conversations with your phone.


ChatGPT and competing services have come a very long way since. AI is now basically replacing traditional internet search. Along with new entrants, all the major tech platforms are investing heavily to build up their AI capabilities.


This has become a serious issue for Alphabet (GOOGL), which is itself a leader in AI via its Gemini offering. The company appears to be sustaining declines in activity on Google, its market-dominating search engine.


On May 7, 2025, shares of GOOGL fell 7%. This happened in response to an Apple (AAPL) executive stating in an antitrust-related court proceeding that Google-powered searches on Apple’s Safari browser were declining.

For the first time in over 20 years—specifically 22 years—our search volume actually decreased last month. This has never occurred in two decades. If you inquire about the cause, it’s due to people using tools like ChatGPT and Perplexity. I occasionally use them myself. - Eddy Cue, Apple SVP Services (5/7/2025)

The share price of GOOGL, which has diversified revenue streams and many other things going for it, has since recovered. But investors in GOOGL remain focused on how the company can navigate its way through this ongoing paradigm shift in internet usage.


Smarter and faster


AI is rapidly redefining how we interact with the internet and how we get and use information.


Information is the lifeblood of an investor. At its core, investing is all about finding information and then processing it all in a way that allows you to make assessments about things that might happen in the future.


If these assessments end up being correct for the most part, the investment opportunities that come out of them can be quite profitable.


Success as an investor is as much about asking the right questions as it is about getting the right answers. This requires a good understanding of the process of investing as well as the specific investments you are making.


Web 1.0 revolutionized investing simply by putting an enormous quantity of extremely valuable information on the internet.


Before the internet, corporate filings of Securities and Exchange Commission (SEC) documents, for example, could not be readily accessed. One had to physically obtain them.


One of the original investment strategies of hedge funds was merger arbitrage. The strategy hinges on having a detailed understanding of the terms and conditions that apply when a public company gets acquired.


If you know the details of a deal before other investors, perhaps because you are among the first to obtain publicly filed documents like merger agreements that contain these details, you have a tremendous competitive advantage. You know what price to pay for the stock.


Before the internet, professional investors who specialized in this strategy (“arbs”) would physically go to government office buildings to obtain these documents and read them quickly once released. They would report back to the trading desk, perhaps by payphone (or an oversized Gordon Gekko-style cellular phone).


This was all perfectly legal. The money managers involved in these investment operations often made millions.


Democratization


The internet changed everything, because it made all sorts of valuable information available to everyone simultaneously. In the investment world, professionals no longer had as much privileged access to information as they once had.


It is not entirely a coincidence that active money management began its descent shortly after the internet took off. Professionals were losing their ability to add value and justify high fees.


Whereas Web 1.0 was basically just read-only content, Web 2.0 made the internet interactive, through various forms of social media.


It was no longer just about accessing static information on a web page. You could now interact with others yourself, or at least monitor these interactions.


To be fair, social media platforms are not always the best places to obtain high quality investment information and insight. But information flow was greatly enhanced.


Now, with Web 3.0, which includes machine learning and natural language processing, we have another major game changer.


Let AI teach you


When all we had was Google search, if we wanted to use the Internet to get up to speed on an investment-related subject, we would type in key words in the hopes of being directed to a good article or website.


While this is certainly still quite useful, the ability of AI tools to extract and manipulate information and accurately answer even extremely technical questions takes learning from the internet to a whole new level.


There is almost no subject that cannot be effectively distilled and clarified by AI. AI platforms should now be everyone’s first stop if they want to learn more about a specific topic.


AI truly excels when it comes to basic education on investing topics.


Many times, people are working off a vague and often imperfect understanding of a particular subject. Through AI, you have the opportunity to solidify your understanding of basic things that you are not totally sure about.


A great entry point is to ask AI to explain to you a confusing investment term that you come across.


No human flaws


When you interact with AI, as opposed to a knowledgeable human being, there truly are no stupid questions. There is no reason for embarrassment and no egos to protect on either side.


The information that comes back might not be 100% perfect, so caution is warranted, but in our experience it tends to be highly accurate, depending on the circumstances, with ambiguities in the responses highlighted.


As opposed to a human expert, AI is not affected by emotion, conflicts of interest, psychological bias or any other causes of cognitive error (excluding perhaps politically sensitive subjects for which it has been pre-programmed).


People like to appear smart and useful, even when they are neither. AI is not susceptible to overconfidence or the need to pretend it knows more than it does to protect its image.


Particularly when it comes to basic investing concepts and strategies, where there is an abundance of information on the internet from which AI can draw, AI does an exceptional job.


We urge investors if they ever have any questions or confusion to ask any of the widely available AI tools to provide explanations. They may be surprised with the quality and precision of the answers.

Example: Using AI for General Investment Information


Query: What are the most important tax considerations for an individual investor (100 words)?


Grok: For individual investors, key tax considerations include capital gains taxes, dividend income, and tax loss harvesting. Long-term capital gains (assets held over a year) are taxed at lower rates (0%, 15%, 20% in the U.S.) than short-term gains, taxed as ordinary income (up to 37%). Qualified dividends also benefit from lower capital gains rates, unlike non-qualified dividends taxed as ordinary income. Tax loss harvesting offsets gains or up to $3,000 of ordinary income annually but must avoid wash sale rules by not repurchasing identical securities within 30 days. Retirement accounts like IRAs offer tax-deferred or tax-free growth, maximizing long-term returns. Consult a tax advisor for specifics.

Understanding businesses


In addition to acquiring general investing knowledge, AI is also extremely useful for developing a better understanding of industries and specific businesses in which one might invest.


Before you invest in a company, it is always a good idea to develop a basic understanding of what the company does, who it competes with, and how it makes money.


All too often, as one tries to educate oneself about a business by going to a website, or diving into an annual report, you are hit with a lot of industry jargon and buzzwords. These sometimes make some sense but often don’t quite click.


The risk is that you end up with a rather hazy understanding of a business, which may not only lead you to bad conclusions but also a lack of confidence in the investment.


If you end up buying the stock, this lack of familiarity with the business could leave you susceptible to selling whenever the going gets tough.


We find AI does an excellent job helping us get up to speed on companies and industries by providing essential foundational knowledge that is not easily obtained elsewhere.


The beauty of these AI tools is that they allow you to customize your education in whatever direction you want. The result is an extraordinarily efficient knowledge acquisition process.


Once you feel you have mastered the basics, you can confidently tackle the more complicated questions.    

Example: Using AI to Learn about Companies


Query: How does Alphabet make money (100 words)?


Gemini: Alphabet, Google's parent company, makes most of its money from advertising. This primarily comes from:

* Google Search and other properties: Ads displayed on search results pages, Gmail, Google Maps, and Google Play.

* YouTube Ads: Revenue from ads shown on YouTube videos.

* Google Network: Ads displayed on third-party websites and apps that partner with Google.

Beyond advertising, Alphabet also generates significant revenue from:

* Google Cloud: Cloud computing services for businesses.

* Google Subscriptions, Platforms, and Devices: Sales of hardware (like Pixel phones, Nest devices), app sales, in-app purchases, and subscriptions (YouTube Premium, YouTube TV, Google One).

* Other Bets: Various innovative ventures like Waymo (self-driving cars) and Verily (life sciences), though these currently contribute a smaller portion of overall revenue.

Solving complex problems


We were struck a few weeks ago by a story told by Michael Saylor of Strategy (MSTR) as to how he developed the preferred stock securities his company issued earlier this year (STRK and STRF).


He described STRK and STRF as the world’s first “AI-designed securities.” We discussed this in Ordering from the Strategy Menu: Rise of the Bitcoin Treasury Company - Part II.


Saylor explained how he used AI, specifically OpenAI’s Deep Research tool, to research securities law and related topics to figure out how to create these unique financial instruments.


AI is quite good at sifting through technical complexity and certainly anything involving math (as long as it has access to the necessary data, which you can always provide). Engaging with AI is a great way to arrive at solutions to challenging business and financial problems.

Example: Using AI to Solve Complex Problems


Query: What is the value of the embedded call option on MSTR within STRK (100 words)?


Grok: The embedded call option in MicroStrategy’s STRK allows conversion of each STRK share into 0.1 MSTR shares at a $1,000 strike price. With MSTR at ~$450, the option is out-of-the-money, but its perpetual nature and MSTR’s 64.74% volatility boost its time value. STRK’s $95 market price includes a bond-like value ($80–$90, assuming 9%–10% yield) and the call option. A two-year call option for 0.1 MSTR shares is worth $5.50–$6; a perpetual option is higher. Accounting for dividends and volatility, the embedded call option’s value is approximately $10–$20 per STRK share. Custom modeling could refine this estimate.

Chasing developments


The circumstances surrounding any investment are always changing. Investors are constantly chasing down breaking news.


Before the internet, most news flow originated from printed newspapers. Companies would fax their earnings reports to analysts. Nowadays, information flow is totally unstructured and comes from all over the place.


AI is getting better and better at retrieving real-time information and summarizing developments in an accurate and concise way. Rather than hunt around for relevant articles, press releases and filings, use AI to find and summarize them for you.

Example: Using AI for Breaking News


Query: What were the major takeaways from Alphabet’s last earnings report (100 words)?


Perplexity: Alphabet’s Q1 2025 earnings report delivered strong results, with revenue up 12% year-over-year to $90.2 billion, beating analyst expectations. Net income surged 46% to $34.54 billion, and earnings per share reached $2.81, far above forecasts. Growth was broad-based: Google Search, YouTube, and Google Cloud all posted double-digit gains, with Cloud revenue jumping 28%. Operating margin expanded to 34%, and Alphabet raised its dividend by 5% while authorizing $70 billion in stock buybacks. AI innovation, especially the rollout of Gemini 2.5 and AI Overviews, drove user engagement and business momentum.

Which tools to use


There are now several AI platforms that can be accessed on the internet for free—with the option to pay a subscription fee to upgrade for advanced features.


As to which platform to use and when, individual preferences will vary. It makes sense to experiment for yourself.


In our recent experience, Grok is coming on strong. Grok is Elon Musk’s AI platform, which is integrated with his X social media platform (formerly Twitter).


One of the advantages of Grok is that it has access to all the data and social media posts generated within X, which includes a lot of user-generated content related to the economy and investing.


On investment topics, we find Grok is often willing to give fuller, more interesting answers than some of the other platforms. We also like to use Grok for image generation (such as thumbnails).


Perplexity is somewhat differentiated from the other platforms in that it functions a little more like a traditional search engine. Perhaps the most important feature of Perplexity is that it provides hyperlinked footnotes and directs the user to the original information source.


We tend to use Perplexity when information accuracy is of the utmost importance or when we are hunting down original sources, including specific documents or videos.


ChatGPT and Gemini are excellent general purpose AI tools as well. When one service does not provide a satisfactory result, you can always try your luck on another one.


Advanced techniques and platforms


AI is increasingly being integrated within financial platforms, especially financial data providers like Bloomberg, FactSet (FDS) and AlphaSense. The goal is to make the information contained within their proprietary data sets more accessible.


These services are targeted at institutional investors and tend to be relatively expensive.


A very useful feature that is widely available across AI platforms (and for the most part free) is document upload and analysis. If there are specific documents that you want read and summarized—or to ask questions about—you can easily paste these into most AI engines.

AI is not going to take your jobs. The person who uses AI is going to take your job…. Use AI as fast as you can, so you can stay gainfully employed. - Jensen Huang, CEO of NVIDIA

The golden age of independent investing


As we noted above, AI was just getting started when 76research launched in early 2024. AI was not part of the original business plan but has since become a valuable complement to the investment research process that drives our Model Portfolios.


Our research activity is primarily based on institutional research tools and industry contacts. AI functions as a force multiplier that significantly enhances our productivity by allowing us to obtain and analyze information more efficiently.


AI performance will only improve over time. The major platforms continue to invest hundreds of billions into their AI data centers, while AI itself experiences exponential growth in its capabilities.


AI is extremely empowering for the individual investor.


It is like having your own research analyst in your back pocket—except this one has no personality that needs to be managed, requires no compensation whatsoever, never makes a mathematical miscalculation, and operates at the speed of light.


As impressive as current offerings are, the tools and capabilities that investors will be able to access one, two or five years from now will probably make them seem primitive.


One of the best things 76research subscribers can do at this point—no matter their experience level—is to make a habit of using AI regularly as they learn about investing and conduct research on specific investments.


AI cannot tell you where or how to invest. But the more deeply our subscribers understand the information and analysis we provide, the more likely they are to use it effectively.

Click HERE to learn more about our Model Portfolio subscription plans.

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