Well, Actually: AI Is Not Merely a Cost Center Anymore
Businesses have moved past using artificial intelligence for mere operational efficiency. Fitness brands now deploy algorithms to generate individualized workout plans. Streaming platforms employ recommendation engines to surface content users did not know existed. Both applications create new revenue rather than simply reducing expenses.
This teaches a fundamental reorientation: AI as product, not AI as process. The principle is personalized productization. You should ask whether your AI implementation could itself become a customer-facing offering. The workflow change is to design AI outputs that users will pay for directly, not merely tolerate as backend infrastructure.
The uCertify analysis documents this shift across fitness and streaming sectors. Specific company names are not provided in the source material. The pattern itself is the evidence here.
Step 1: Open a consumer AI tool such as ChatGPT, Claude, or Google Gemini. Step 2: Prompt it to generate a personalized plan for a hobby you actually have, requesting specific tailoring to your schedule, budget, and skill level. Step 3: Evaluate whether this output is something you would pay for, and note which elements make it feel customized versus generic.