Michael Saylor has a clear message: knowing how to use ChatGPT to summarize texts is not enough, but it is necessary to combine it with vertical skills and practical knowledge that AI alone does not possess. The goal is to position ourselves at the beginning of the so-called "S-curve", where a new technology suddenly becomes applicable to old problems in completely new ways.
Here are three practical examples on how to apply this concept to specific sectors, from construction, to investments, to the creation of content related to your passions.
1. Revolutionize the Construction and Crafts Sector
Many professionals in these industries are excellent at manual work, but lose clients because they don't have time to timely handle online quotes and requests.
The Strategy: create an automated lead generation and quoting system, to use for your own business or to resell as a service to other local companies. The platforms to use in this case can be Make.com (to connect various software together) and ManyChat (for chatbot interface)
Practical example: instead of the classic and slow contact form on the site, you can configure a virtual assistant on WhatsApp. When a customer writes about a problem in his home, the ChatGPT API-based assistant asks targeted questions to qualify the contact (size of the house, type of structure, problem description, etc.). Through Make.com, the data is sent to a spreadsheet, the AI generates an immediate rough estimate and automatically schedules an inspection on Google Calendar.
2. Financial Analysis and Search for Returns
For an investor seeking tax efficiency and opportunity, AI can do intensive research work, digging up data that would take hours to read.
The Strategy: Use specialized models as bloodhounds to track down the best liquidity promotions or to instantly analyze fund prospectuses.
Here, among the most used we find FinChat.io or Perplexity AI (which combines various AI and chooses the best one).
Practical example: Promt on Perplexity "search for best offers on interest rates on unrestricted liquidity, compare the results and choose the best one". Then, with FinChat.io, you can directly query the KIIDs (Key Investor Information Document) of ETFs for example, asking the AI to extract and compare hidden costs or geographical composition without having to sift through dozens of PDFs.
I could go on with countless examples, also mentioning platforms like Midjourney for the creation of very high quality images for videos on YouTube, ElevenLabs for rather realistic voiceovers...
The key to Saylore's reasoning is precisely this: AI alone is a commodity. It is your wealth of real experience combined with these technical tools that creates true market value.
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