Making AI Pay Off: A Practical Blueprint For Measurable Productivity Gains
Techstrong.ai, Friday, April 17th, 2026
AI has moved past the 'should we?' phase. Most organizations already have pilots, tools, and budgets in motion. Yet many leaders still feel a gap between what AI can do and the productivity gains businesses are seeing.
In some cases, that gap is widening. One HBR study estimates that workslop, which is low-quality AI outputs, can cost a 10,000-person company up to $9 million per year in lost productivity1. That gap matters as productivity begins to re-accelerate. U.S. productivity growth since 2019 has been roughly twice the pace of 2010-2019 and higher than that of other G7 economies. The opportunity now is to turn that macro momentum into repeatable, enterprise-level gains.