The unusual, unexpected, and human side of B2B technology
Qik Office lets companies deploy AI managers to coordinate work across virtual rooms where most of the workers are other AI agents. It's one of the first visible instances of a bot org chart.
A SaaS tool built to track drilling equipment is now managing patrol cars and incident analytics in rural America—because someone noticed the data looks the same.
Enterprise employees have quietly replaced Google with AI assistants for vendor research—bypassing official channels and creating what amounts to a shadow IT stack for procurement.
At mid-size B2B firms, AI agents now decide who gets which leads, reschedule meetings, and reassign accounts—without asking permission. The first AI boss wasn't in a factory. It was in RevOps.
B2B companies are building internal influencer teams with content quotas and follower counts in performance reviews. By year-end, non-marketers will create two-thirds of all enterprise content.
Mid-market companies are wiring frontier AI models directly into ad platforms and CRMs with write permissions — and letting them run campaigns autonomously.
A video-call company is acquiring Common Room, a community intelligence tool that tracks developer behavior across GitHub, Slack, and forums for B2B go-to-market teams.
Agentic AI sold as 'co-pilots' automated away thousands of SDR jobs in Q1 2026. The weird part: vendors are now bragging about it in trend reports.
The software giant is building an internal consulting army larger than most SaaS companies. Their only job: convince enterprises that AI won't break everything.
Tools built to optimize shipping contracts are being repurposed by commercial real estate firms to structure flexible leases—a use case nobody planned for.
A B2B team has turned testing fake events into a structured product. They build up to 50 landing pages for webinars that will never happen, just to see which topics are worth making real.
A marine navigation vendor built to help ships avoid collisions discovered that consumer brands would pay more for port data than shipowners ever did — because it predicts when promotions will fail.