ive been watching the discourse in this sub for a while and theres a disconnect between what gets discussed here and what’s actually generating ROI in production this sub focuses heavily on frontier models, benchmarks, AGI timelines, and theoretical capability. all interesting conversations. but the businesses actually profiting from AI right now are doing something way less exciting theyre using AI to make boring existing processes slightly faster im not talking about moonshot applications. im talking about stuff like: a logistics company using AI to categorize and route incoming customer emails so their support team handles 40% more tickets without hiring anyone new a recruiting firm using AI to enrich candidate profiles with data from multiple sources so their recruiters spend 70% less time on research per placement a B2B company using AI to personalize outbound emails at scale so their sales team gets 3x the reply rate without 3x the headcount an insurance broker using AI to check if initial claim forms are filled out correctly before a human ever touches them. saves a few hours a week. not sexy. but it compounds none of these use cases make headlines. nobody is writing papers about them. but theyre the ones actually paying for themselves and then some i think theres a dangerous narrative in the AI space that the technology needs to be revolutionary to be valuable. it doesnt. most businesses dont need AGI. they need their follow up emails sent on time and their data organized properly the companies that went all in on replacing humans with autonomous AI agents are the same ones now scrambling to hire those humans back. the ones that used AI to make their existing humans 2-3x more productive are quietly printing money i think the real AI revolution isnt going to look like what this sub imagines. its going to be invisible. millions of small boring automations running in the background of normal businesses making each step slightly more efficient. no drama. no headlines. just compounding productivity gains that add up to something massive over time does anyone else feel like the gap between what gets discussed in AI communities and what actually makes money in production is getting wider? or am i just spending too much time in enterprise environments submitted by /u/Admirable-Station223
Originally posted by u/Admirable-Station223 on r/ArtificialInteligence