capital · May 13, 2026

Gong Research Shows 58% of Companies Stalled AI Projects Due to Trust Deficits

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Gong Labs surveyed over 2,000 U.S. and UK revenue leaders on May 12, 2026, revealing 58% of companies stalled AI projects due to trust deficits, with 62% in the U.S. The analysis of aggregated data from over 25 million sales interactions found 80% of U.S. leaders believe their organizations lag in realizing AI benefits, leading 44% to pause planned AI investments. One in four sales calls mentioned security concerns, with top adoption assurances including security guarantees at 25%, explainability at 24%, and third-party audits at 23%. Gong embeds enterprise-grade security and data governance in its Revenue AI Operating System to address these barriers. Prior reliance on unproven AI tools hindered revenue operations, whereas transparency now enables acceleration through context-aware AI grounded in customer patterns.

The body describes a survey by Gong Labs with specific statistics on AI trust issues, which is a real industry trend but not a major company-specific event like an acquisition or funding round, so it moderately justifies the 'notable' significance score without inflating it excessively. It contains numerous verifiable facts including survey size (over 2,000 leaders), date (May 12, 2026), percentages (58%, 62%, 80%, 44%, 25%, 24%, 23%), data volume (25 million interactions), and named entity/product (Gong's Revenue AI Operating System), warranting a high density score. The analysis field is explicitly '(none)', providing no strategic insight beyond the headline and body, which itself veers into promotional content for Gong.

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