---
title: "The Spurs cleared the AI productivity dip in six months"
description: "5 source-backed AI claims from The Spurs cleared the AI productivity dip in six months, with key statistics, context, and the original AI Adopters Club source."
url: "https://kbanc.com/claims-library/the-spurs-cleared-the-ai-productivity-dip-in-six-months"
source: "https://aiadopters.club/p/the-spurs-cleared-the-ai-productivity"
date: "2026-04-23"
topics: ["strategy", "implementation", "measurement"]
generated: "2026-08-31"
---

# The Spurs cleared the AI productivity dip in six months

By Kamil Banc | April 23, 2026

## Claims

1. **94% Stall Before Impact** (source summary): 94% of enterprise AI rollouts stall before showing any measurable earnings impact on the P&L
2. **Speed Without Earnings** (source summary): Advanced users ship work in half the time while pilots fail to reach the P&L
3. **The CFO Question** (source summary): The CFO's simple question about earnings impact exposes the gap between AI activity and business value
4. **Spurs Cleared the Dip** (source summary): The Spurs cleared the AI productivity dip within six months, offering a model for enterprise success
5. **No P&L Attribution** (Kamil's interpretation): Most organizations cannot point to a line on the P&L and attribute it to AI

## Evidence

### Quote
> "You are not imagining the gap. You are sitting inside it." - Kamil Banc

### Key Statistics
- **94%**: Share of enterprise AI rollouts that stall before producing any measurable earnings impact
- **Six months**: Timeframe in which the Spurs cleared the AI productivity dip, per the article's headline framing
- **Half the time**: Reported shipping speed improvement for the best AI-enabled analysts using tools like Claude and ChatGPT

## Context
The article frames enterprise AI adoption through the lens of financial accountability, arguing that visible user activity and vendor contracts do not equate to earnings impact. Its central diagnostic device is the CFO's quarterly question about where AI shows up on the P&L, which most organizations cannot answer. The Spurs are presented as a counterexample, having moved through the productivity dip in six months where most rollouts stall. For practitioners, the takeaway is to design pilots with explicit financial measurement from the start rather than treating adoption metrics as evidence of value. Readers should note the article is a paid Substack post and the headline statistics are asserted without cited primary sources in the visible excerpt.

## Source
- Original: [The Spurs cleared the AI productivity dip in six months](https://aiadopters.club/p/the-spurs-cleared-the-ai-productivity)
- Cite: kbanc.com/claims-library/the-spurs-cleared-the-ai-productivity-dip-in-six-months