1) What do you use AI for most of the time? and 2) if you're building a business using Ai, what type of business is it?

#1) State your goal, #2) Provide Context/Audience, #3) Specify Format, and #4) Include Examples & Constraints. Example of a good prompt: "Write a 100-word product description for busy entrepreneurs, emphasize durability, use conversational tone, and show 2-3 headline options."

What's the #1 thing you wish it did better? Curious what the biggest gap is.

📝 TL;DR After two years of AI hype, investors are no longer rewarding every company that says the word “AI.” Markets are shifting into a “show me” phase where only businesses proving real, measurable AI revenue and profits are being taken seriously. 🧠 Overview A new analysis of AI focused stocks says the easy phase of the AI trade is over. The first wave was simple, buy anything connected to chips, cloud, or models and ride the boom. Now, with talk of an AI bubble growing louder, investors are demanding proof that AI is driving real sales, margins, and product stickiness, not just headlines. OpenAI’s success has set a new bar, everyone else has to explain how they will actually make money from AI at scale. 📜 The Announcement The report looks across the current landscape of AI related stocks and argues that markets are entering a tougher, more selective stage. Chip makers and cloud giants that clearly profit from AI infrastructure are still in focus, but second tier “AI story” names are under pressure to justify their valuations. At the same time, OpenAI’s rapid revenue growth and product adoption highlight a key frustration for public investors, some of the biggest AI winners are still private, so the question becomes which listed companies will actually capture that value in the years ahead. ⚙️ How It Works • The first AI wave was broad - In 2023 and 2024, many investors bought almost anything labeled AI, from chip makers to obscure software names, which pushed valuations up fast. • The “show me” phase is about earnings - Today, investors want to see clear evidence of AI driven revenue, higher margins, or lower costs, not just promises in PowerPoint decks. • Leaders versus followers - Core infrastructure players that sell GPUs, cloud capacity, and AI platforms still have strong narratives, while companies that only sprinkle AI on existing products face harder questions. • OpenAI sets the benchmark - OpenAI’s rapid growth shows what a real AI business can look like, which makes it easier for investors to compare other companies and ask, where is your version of that.