Gong Research Identifies AI Trust Barrier as Key Hurdle for Enterprise Adoption

Event summary

  • Gong's research reveals 58% of companies have stalled AI projects due to trust issues, with data privacy (34%), explainability (30%), and model transparency (28%) as top concerns.
  • 46% of planned AI investments are paused, indicating a significant adoption lag despite budget availability.
  • Gong Labs analysis of 25 million sales interactions found 25% referenced security concerns, highlighting trust as a revenue conversation.
  • 75% of leaders believe their organizations are falling behind in realizing AI's benefits, creating an opportunity for solution providers.
  • Gong embeds enterprise-grade governance into its Revenue AI OS to address trust gaps and accelerate AI adoption.

The big picture

Gong's research underscores a critical trust gap in enterprise AI adoption, with transparency emerging as a key differentiator. As companies increasingly rely on AI for revenue operations, the ability to articulate AI outputs and data guardrails has become a non-negotiable requirement. This trend highlights the strategic importance of trust in AI solutions, positioning vendors that prioritize transparency for competitive advantage in a market where 75% of leaders feel their organizations are falling behind.

What we're watching

Trust as Competitive Advantage
How Gong's focus on transparency and explainability will differentiate it in the crowded AI market.
Regulatory Uncertainty
Whether increasing regulatory scrutiny will further slow AI adoption or force vendors to adopt stricter compliance measures.
AI Investment Resumption
The pace at which paused AI investments will resume as trust barriers are addressed by vendors like Gong.