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Unsupervised Learning · 1.5K views · 28 likes Short
Analysis Summary
Ask yourself: “What would I have to already believe for this argument to make sense?”
Performed authenticity
The deliberate construction of "realness" — confessional tone, casual filming, strategic vulnerability — designed to lower your guard. When someone appears unpolished and honest, you evaluate their claims less critically. The spontaneity is rehearsed.
Goffman's dramaturgy (1959); Audrezet et al. (2020) on performed authenticity
Worth Noting
Positive elements
- This video provides a clear conceptual framework for how AI might shift business procurement from relationship-based selling to performance-based metrics.
Be Aware
Cautionary elements
- The use of 'revelation framing' makes a specific, high-control AI future seem like an unavoidable evolution rather than a business strategy.
Influence Dimensions
How are these scored?About this analysis
Knowing about these techniques makes them visible, not powerless. The ones that work best on you are the ones that match beliefs you already hold.
This analysis is a tool for your own thinking — what you do with it is up to you.
Transcript
That is completely different than an AI saying, "Okay, I now own all these SOPs. Here is the map of all work that's being done." And the humans humans are still there. Humans are the ones responsible for improving this AI, for telling the AI, "Hey, look, we need to change this SOP like that. That's not how this should be done anymore." And you have a conversation with the AI or whatever, and the AI is like, "Okay, are you sure about this?" Boom, it makes a change. All the documentation is updated. All the SOPs are updated. That is the new model for for business. Right now, a software vendor comes in and they're like, "Hey, look, we got, you know, the best, we'll just say this company needs background uh image removal or whatever. We have the best one out there." Now, in the past, what would happen is they would bring their salesperson, take someone out to a steak dinner, and be like, "Yeah, yeah, it's just it does background removal way better than anything else. Like, you just have to have this." And if they convince this person and the manager and you know, the purchasing authority or whatever, procurement, whatever, they buy it. In this new model, this lattice, this graph system, it includes all the tools. This is a completely different conversation you have with the software vendor. Here is my map. [snorts] Here's all the processes, all the work that I do, every single workflow being done. What are you replacing? What are you doing better? Click on this node. Boom. You click on the node. Background image removal. Let's look at the metrics for it. Here's how fast it is. Here's how cheap it is. Here's how many times it failed. Here, here's [clears throat] how many times it succeeded. Here's the ratings for how that's been done. Now, what are yours? Now, what are yours? And they have they're going to have to produce metrics that say, I can do that function better. So, now it's not about a software package that some human is buying and maybe they use it, maybe they don't. Now it's about an AI saying here are my metrics for this function which fits into this graph. Can you prove that your metrics for doing this function are better? That's a completely different way of thinking about software.
Video description
Forget steak dinners and vague promises. The new AI business model demands vendors prove their software's metrics against existing workflows. It's a data-driven showdown for every function. #AI #BusinessTransformation #FutureOfWork #SaaS #MetricsDriven