Your team uses AI daily and you still see no ROI

By Kamil Banc | October 18, 2025
last verified: 2025-10-18
strategymeasurementbusiness

cat claims.txt

[1] 95% See Zero AI ROI

BCG studied 1,250 companies: 95% see zero measurable ROI from AI investments despite high usage

[2] Top 5% Concentrate on Revenue Functions

Top 5% concentrate AI investment in R&D, sales, marketing, manufacturing, IT—delivering 2x revenue growth

[3] High Adoption Doesn't Equal Profit Impact

78% of firms use AI, yet 83% see no profit impact—adoption doesn't equal results

[4] Product Teams Drive Measurable Revenue Gains

70% of product teams using AI report revenue increases; supply chain teams cut costs 20%+

[5] Half of SaaS Licenses Sit Unused

Companies use only 47% of SaaS licenses, wasting an average of $21M annually

cat evidence.txt

quote

"The gap isn't adoption. It's selection. The top 5% automate dollars, not hours."

Kamil Banc
statistics

  • 95%

    Percentage of 1,250 companies studied by BCG that see zero measurable ROI from AI investments

  • 2x revenue growth

    Revenue increase achieved by top 5% focusing AI on R&D, sales, marketing, manufacturing, and IT versus administrative work

  • 83%

    Percentage of firms using AI that see no impact on profit margins despite 78% adoption rate

  • $21M per year

    Average annual cost burned by companies on the 53% of SaaS licenses that sit idle and unused

sources
cite: kbanc.com/claims-library/your-team-uses-ai-daily-and-you-still-see-no-roi

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context

BCG's research methodology involved studying 1,250 companies to analyze the relationship between AI adoption patterns and business outcomes. The study differentiated between high-volume usage and value-generating applications, revealing that successful companies concentrate investments in customer-facing and revenue-generating functions rather than internal processes. Practitioners can apply these insights by running a 30-day value test on their three highest-volume AI workflows, asking whether each cuts costs or grows revenue, whether time saved converts to business results, and whether the workflow touches customers or product. The key is tracking dollar metrics like deal cycle time, onboarding duration, and feature velocity rather than efficiency scores or hours saved.

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