New Gong Research Reveals Transparency Key to Competitive AI Advantage

Why It Matters

Trust deficiencies are throttling AI deployment, directly limiting revenue growth and competitive advantage. Addressing transparency and security can unlock stalled AI spend and accelerate digital transformation.

Key Takeaways

• 58% of firms stall AI projects due to trust deficits.
• Transparency and explainability rank top for AI adoption confidence.
• Security guarantees and third‑party audits are most demanded safeguards.
• 44% of planned AI spend paused awaiting governance solutions.
• Gong embeds enterprise‑grade governance into its Revenue AI OS.

Pulse Analysis

The AI trust barrier is emerging as the most significant obstacle to scaling intelligent automation across enterprises. While budgets for machine‑learning tools continue to rise, the Gong survey reveals that more than half of organizations are pausing or canceling projects because they cannot verify how models generate outputs. This skepticism mirrors broader market concerns about opaque black‑box systems, especially in regulated sectors where data misuse can trigger compliance penalties. By quantifying the trust gap, Gong provides a roadmap for vendors to prioritize transparency features that directly influence adoption rates.

Transparency, security and explainability are not merely compliance checkboxes; they are revenue drivers. The research links AI trust to performance multipliers, noting that sales teams equipped with explainable insights close deals faster and with higher average contract values. Security guarantees, third‑party audits, and clear model guardrails were each cited by roughly a quarter of respondents as essential assurances. When AI outputs can be traced back to specific data sources and logic pathways, decision‑makers feel confident to act on recommendations, turning AI from a speculative experiment into a proven profit engine.

For solution providers, the findings signal a strategic imperative: embed governance, auditability and explainable AI directly into the product stack. Companies like Gong are already integrating these controls into their Revenue AI operating system, positioning themselves as trusted partners rather than mere technology vendors. As AI adoption accelerates, firms that can demonstrably mitigate risk will capture the bulk of the $44 billion of paused AI investments, gaining a durable competitive edge in an increasingly data‑driven marketplace.