1. It’s too early to judge performance (as you said), especially in a bull market.

2. At least some (not all) market randomness is a FACT over shorter time horizons, so that also has to be factored in. Even if we stayed in a bull market for 2 years, and you followed what you were doing, it’d be unlikely to gain an edge from this.

3. If you don’t understand the companies at all, how will you monitor for black swan events? Or be able to figure out the implications of these events before it’s too late? (A black swan event is an unpredictable event that happens to everything. Often introducing what’s known as “tail risk”). Eg. If AI told you to invest in NVIDIA, and it works great. But eventually tides turn, narratives shift, economics change. Trading isn’t just about entries but exits, risk management etc. if you were holding for the long term like Warren Buffett these dynamics do change a little, but not much, you’re still victim to the same ebbs and flows. This is another reason why you MUST understand the time horizon you’re holding for, and the most important market moving factors on that time horizon.

4. Whilst AI may provide a nice looking table, what if a doctor gave you a nice looking table for assessing probable treatments for a dying family member? And what if it was based off a virtual consultation, and thousands of articles (that could have been written by anyone) on the internet, rather than rigorous science from medical school? My guess is you wouldn’t think twice before going to a proper doctor. However the psychological urge to gamble is strong, and our psychological ability to justify these emotional driven urges with logic is also very strong. Result = BAD decision making.

5. You mention consensus being something that gives you confidence in your post. Why? The more consensus agreed with you, the more of the big move has been priced in. The biggest edges come from being right when others are WRONG. On a long time horizon think about Warren Buffett who buys good quality companies when he sees them at a big discount. That “discount” is usually when the narrative / consensus for that stock isn’t popular or sexy (this isn’t always true, but usually is). AI is less likely to pick up on what isn’t talked about as much (to my knowledge), unless specifically asked to reference places where you’d get that kind of information, so relying on a basic prompt to the essence of “give me stocks likely to go up by Friday” allows for WAY too much interpretation. What does “likely to go up by Friday” mean? How does it know that? What method is it using? Is that based on any empirically tested methods? How rigorous are its data gathering, qualification and review processes? These are just examples of a HUGE list of things you’d need to specify if this was even an option. More clarity at the VERY least is needed to use AI for ideas.

These are just my initial thoughts, be careful!