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94% of enterprises still can't make AI work at scale. Scale's new report explains why.

Scale AI's new report, 'The Six Percent Report,' reveals that only 6% of enterprises have successfully scaled AI, a slight increase from 5% last year. The study, conducted with Reuters Insights, surveyed nearly 500 senior AI decision-makers and identifies three key traits of successful companies, emphasizing organizational readiness over model selection.

read1 min views1 publishedJun 17, 2026

Only 6% of companies have made enterprise AI genuinely work at scale. That's the headline from The Six Percent Report, a new study from Scale AI in partnership with Reuters Insights, based on nearly 500 senior AI decision-makers worldwide.

For context: a year ago, MIT found that only 5% of business pilots were successfully driving measurable results. Despite a year of massive investment, rapid model improvements, and near-universal "AI strategy" announcements — the needle has barely moved. "For the large organizations that are the backbone of our society, hospitals, financial institutions, and telecommunications companies, turning that potential into real results has been much harder."

The report doesn't just note the problem — it profiles the companies that have solved it and reverse-engineers why.

Three consistent traits separate the 6%:

None of the three traits are about picking the right model. They're about everything that has to exist before the model matters.

This is consistent with what's been visible from the outside: enterprises have rushed to plug ChatGPT or Gemini into workflows without answering harder questions — who owns data quality? Who redesigns the process? Who retrains staff? The model is the easy part.

The 6% figured out that enterprise AI is an organisational problem with a technical component, not the other way around.

The full report is available at scale.com/six-percent. ✏️ Drafted with KewBot (AI), edited and approved by Drew.

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