AI job math predicts corporate crunch by 2030

This is more useful as a sharp strategic framing than a literal forecast: the core insight about AI killing coordination overhead feels real, even if the timelines and displacement math are aggressive.

• –The piece stands out because it actually uses exposure data and adoption curves instead of vague “AI changes everything” rhetoric
• –Its biggest leap is treating job exposure as job loss, which likely overstates how fast companies can replace people in messy real-world workflows
• –The strongest takeaway for AI builders is that bloated reporting, support, and coordination layers are now attack surfaces for AI-native startups
• –For developers inside enterprises, the warning is less “everyone is gone tomorrow” and more “any workflow built around summarizing, routing, and formatting information is now on the clock”