diginomica: enterprise AI needs buyer trust, not just ROI — plus Dreamforce takeaways
jonerp · x · 2026-09-22
In diginomica's weekly hits and misses, analyst Jon Reed revisits the question of AI buyer trust: trust in enterprise AI services is not the same as trust in AI itself. Vendors obsessing over "how do we get customers to trust our AI" are asking the wrong question — users can get great results without fully trusting the model, and guardrails plus approval steps arguably make outcomes better.
Reed compiles trust requirements meant to challenge both vendors and customers, arguing trust spans technical acumen and hard-to-find buyer empathy. Other topics: why AI leadership needs a rethink, whether ROI is the right AI metric, tokenomics and doomerism debates, Dreamforce 2026 coverage, and a new buzzword — "AI (work)slop grenades."
More from AGI Musings
- Jensen Huang: Hold AI companies accountable under existing law before doomsday legislation — ccerrato147 · 2026-09-22
- Weekly AI Recap: Helix 2.5 Lifts Household Robot Success to 56%, World Models Meet Robot Control — TheTuringPost · 2026-09-22
- 90s multi-agent systems offer a lesson: model memory as belief, not centralized truth — nptacek · 2026-09-22
- Why Amodei and Altman fear AI risk while Zuckerberg and Huang dismiss it: a decade of thinking apart — trevposts · 2026-09-22
- Double squeeze: fewer junior jobs, and AI tools quietly block juniors from becoming seniors — ziv_ravid · 2026-09-22
- Stanford data: employment for 22-25 year-olds in AI-exposed jobs fell ~13% — ziv_ravid · 2026-09-22