the companies actually making money with AI aren't using it the way this sub thinks they are

A viral post from an enterprise insider is challenging the dominant narrative in AI communities, arguing that the real money is being made not with AGI or flashy demos, but with mundane, practical automations. The author points to a growing disconnect: while online discourse focuses on frontier models like GPT-4o and Claude 3.5, benchmarks, and theoretical capabilities, businesses are quietly generating ROI by using AI to make existing processes 'slightly faster.'

The post provides concrete examples of these unsexy but profitable applications: a logistics company using AI to categorize and route emails, allowing its support team to handle 40% more tickets without new hires; a recruiting firm using AI to enrich candidate profiles, cutting recruiter research time by 70% per placement; and a B2B sales team using AI for personalization to achieve a 3x reply rate. These are not headline-grabbing agentic systems but targeted tools for data organization and workflow efficiency.

The author warns of a 'dangerous narrative' that AI must be revolutionary to be valuable, noting that companies that tried to replace humans with autonomous agents are now scrambling to re-hire them. In contrast, firms that used AI as a 'force multiplier' to make their existing teams 2-3x more productive are 'quietly printing money.' The conclusion is that the real AI revolution will be invisible—composed of millions of small, boring automations that compound into significant competitive advantages over time.