The AI Efficiency Trap: Why Doing Things Faster Could Cost Companies The Future
Your AI strategy is already 6 months behind. Here's why optimizing for speed could cost you everything.
Why it matters
Strategic commentary on how companies obsessing over AI-driven efficiency gains in existing workflows risk missing transformative business model innovation—a critical mindset shift for leaders planning multi-year AI roadmaps.
The key facts
8 to knowArticle warns against 'efficiency trap'—automating existing processes rather than reimagining business models
Contrarian take: speed and cost-cutting via AI are tactical, not strategic
Published June 2026 by Bernard Marr (credible source on AI strategy)
Targets C-suite and founder decision-making on AI investment allocation
Article challenges prevailing enterprise AI adoption pattern (task automation → cost reduction)
Argues efficiency-first approach creates opportunity cost vs. transformative strategy
Published by Bernard Marr (credible business/AI strategy commentator)
Targets C-suite and strategic decision-makers, not technical practitioners
Go to the source
Forbes Innovationforbes.com
Publisher excerpt: Many companies are using AI to automate tasks, cut costs and speed up existing workflows, but that approach risks missing the much bigger opportunity.