The Proof Gap in AI: What Sellers Must Show and Buyers Must Ask
Article summary
Quick briefing — cleaned from the original RSS feed
AI does not have a demand problem. It has a trust problem. McKinsey found that 88% of organizations use AI in at least one business function, yet only about one-third have started scaling it. Builders need to make useful products easier to believe. Buyers need a better way to separate evidence from a polished demo. Part 1: For AI sellers and builders Buyers need three things from you: a clear result, relevant proof and manageable risk. Start with one job. “An intelligent automation platform”…
1Key Takeaways
- McKinsey found that 88% of organizations use AI in at least one business function, yet only about one-third have started scaling it.
- Builders need to make useful products easier to believe.
- Buyers need a better way to separate evidence from a polished demo.
- Part 1: For AI sellers and builders Buyers need three things from you: a clear result, relevant proof and manageable risk.
2AIWedia Score
8.6/10
High relevance — worth your attention today
Based on source trust, recency, category impact, and story depth.
3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that mcKinsey found that 88% of organizations use AI in at least one business function, yet only about one-third have started scaling it.
Explore related
Browse toolsCoding AI news
Explore curated coding ai tools on AIWedia — compare, rank, and launch from our directory.
Full story on DEV — AI
Read full articleHeadlines aggregated via RSS for discovery on AIWedia. Original content © DEV — AI. We link to the source and do not republish full articles.