08/04/2026
🔍 Here's what Goldman Sachs just confirmed:
AI isn't delivering a broad productivity revolution. Yet.
But in two specific, well scoped use cases, the median productivity gain is 30%.
That's not incremental. That's transformational. When the scope is clear.
So why isn't it translating economy wide?
Because most organisations are deploying AI without:
📌 Baseline visibility into how work currently happens
📌 A framework to measure before vs after
📌 Clarity on which workflows benefit most
The companies seeing 30% gains aren't just "using AI."
They know where to point it.
Meanwhile, companies actively discussing AI have reduced job openings by 12%. Not because AI replaced people, but because it exposed hidden capacity.
💡 The implication for CXOs:
AI doesn't automatically equal productivity.
Visibility does.
💬 Is your organisation measuring AI's impact on productivity, or just tracking adoption?
👉 Want to see how visibility drives real AI productivity? Talk to us: https://www.prohance.ai/book-a-demo-linkedin.php