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This new research challenges nearly every big AI narrative of 2026

New research is challenging established 2026 AI narratives as businesses struggle to quantify the actual return on their investments.

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The brief

Enterprises are facing difficulties accounting for AI spending and measuring the return on investment (ROI) for these technologies. Recent research suggests a shift in the prevailing narratives surrounding AI's impact on business in 2026.

Coverage from MIT Sloan Management Review and Harvard Business Review focuses on management strategies, outlining three approaches to measuring ROI and identifying five specific types of AI investment. Forbes emphasizes the ongoing inability of companies to accurately account for their AI expenditures.

Future developments depend on whether businesses can successfully implement these new measurement frameworks to capture the value of their AI investments, as highlighted by Business Insider and academic business reviews.

Synthesized by Newsylist from the headlines below under a strict no-invention contract. ✓ fact-checked: all claims supported by sources Updated 2h ago.

Quick answers

What is the primary struggle for companies regarding AI?

According to Forbes, companies are unable to account for their AI spend.

How is the industry attempting to manage AI value?

Harvard Business Review identifies five types of AI investment to capture value, while MIT Sloan Management Review suggests three approaches to measuring and managing ROI.

What is the significance of the recent research mentioned by Business Insider?

The research is described as challenging nearly every major AI narrative of 2026.