SAN FRANCISCO

New Gong Labs Research Finds AI Is Now a Trusted Decision-Maker in Revenue Teams

December 4, 2025

Global report also shows that teams that use AI as a core driver of revenue strategy are 65% more likely to increase win rates.

Data also reveals that AI-driven teams generate 77% more revenue per representative – a six digit increase over those who don't.

SAN FRANCISCO — December 4, 2025Gong, the leading Revenue AI company, today released its second annual State of Revenue AI report, revealing that AI has earned its seat at the revenue table. According to the report, seven in ten enterprise revenue leaders now trust AI to regularly make business decisions. This signals the technology’s evolution from a competitive edge that helped individuals gain efficiency into an essential for every level of the revenue organization.

The data shows that these AI-powered decisions are bearing fruit: organizations embedding AI as a core driver of their go-to-market (GTM) strategy are outperforming their peers, being 65% more likely to increase win rates.

The research, drawn from an analysis of 7.1 million sales opportunities across 3,600+ companies and a survey of more than 3,000 global revenue leaders, offers fresh insights into how revenue teams are adapting to economic shifts, embracing AI, and redefining productivity and growth for the year ahead.

“Our research reveals a fundamental shift in how AI shows up in forward-thinking revenue teams. It’s no longer a helpful sidekick, but now a strategic partner,” said Amit Bendov, CEO and co-founder, Gong. “Revenue teams that embrace AI aren’t just seeing better revenue outcomes, they’re reshaping entire GTM functions. The data shows us that the future of sales will not be shaped by humans or by AI, but rather by the power of both working together.”

AI as a Job-Shaper, Not a Job-Taker

The report also highlights a shifting narrative around AI and the workforce: that AI is viewed less as a threat and more as a catalyst for transformation. When asked about the three-year impact of AI, 43% of respondents said they expect it to transform jobs without reducing headcount, making it the most common outlook. Only 28% anticipate job eliminations, while 21% foresee new revenue roles being created. Just 8% predict minimal impact.

As revenue professionals increasingly implement AI technologies in their day-to-day activities, they are seeing its transformative power on their roles. In fact, leaders are prioritizing productivity and output of existing teams, with productivity now ranked as the number one growth strategy for 2026, up from fourth place last year. Key areas of change include:

  • Reduced administrative time, like data entry, note-taking, CRM updates emerging as the top-ranked impact
  • More customer-facing capacity, enabling more calls, meetings, and outreach
  • Greater strategic and creative focus, such as account planning and deal strategy
  • Better data-driven decision-making, driving engagement among revenue leaders

AI Becomes a Strategic Partner in Revenue Growth

Seven in ten enterprise revenue leaders now trust AI to regularly make business decisions, underscoring AI’s shift from experimentation to expectation. In 2025, the number of US companies using AI to forecast and measure strategic success increased 50% year over year.

Teams using revenue-specific AI solutions were twice as likely to leverage AI for forecasting and predictive modeling, driving outcomes beyond what general-purpose tools delivered, including:

  • 13% higher revenue growth
  • 85% greater commercial impact

Sales Teams Using AI More Win More

Organizations that have boldly embraced AI within their core business use cases capture more value from their investments than those further behind or more surface-level in their deployments.

  • Teams that deeply leverage AI generate 77% more revenue per representative – a six-digit increase over those that do not use it.

AI Adoption in the US vs. UK

Companies in the UK lag those in the US by about 12-18 months when it comes to AI adoption.

  • United States: AI adoption continues to accelerate, with 87% of US companies now using AI and an additional 9% planning to adopt it within the next year.
  • United Kingdom: UK adoption in 2025 looks very similar to US findings from last year’s report, with 70% currently using AI, with another 22% planning to in the next 12 months.

To learn more about how revenue organizations are winning more with AI, download the full report here.

Methodology:

Insights from The State of Revenue 2026 are based on a combination of survey and proprietary data. Gong surveyed 3,048 global revenue leaders, with respondents based in the United States, United Kingdom, Australia, and Germany. In addition, the Gong Labs research team analyzed 7.1 million sales opportunities across 3,613 companies to measure the impact of AI and performance across revenue teams.

###

About Gong:

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

Recent Press Releases

Gong Launches Mission Big Dipper; Unveils Industry-First Revenue Harness

Gong Launches Mission Big Dipper; Unveils Industry-First Revenue Harness

A new agentic execution layer powers custom agents deployed at scale: new capabilities across Gong Assistant and Gong Enable turn insight into action SAN FRANCISCO, Calif. — June 24, 2026 — Gong, the leading revenue AI company, today announced Mission Big Dipper, its latest product mission. The launch introduces a new agentic execution layer and expanded capabilities across the Gong Revenue AI Operating System (AI OS), designed to solve the challenge of early enterprise AI deployments: generic tools that break in production because they lack revenue context, governance, and human-in-the-loop control. With Mission Big Dipper, Gong introduces the Gong Revenue Harness – the natural evolution of Gong's investments in Agent Studio and Model Context Protocol (MCP) support – as a new agentic execution layer that governs, orchestrates, and connects AI agents across the full revenue cycle. Its newest capability, Custom Agents, empowers any RevOps leader or sales manager to build and deploy governed AI agents, without engineering support. The launch also expands Gong Assistant across unified operating surfaces and introduces new Gong Enable capabilities that turn episodic sales coaching into continuous, AI-driven rep readiness. “Every revenue leader has AI. Almost none of them are moving the number with it," said Eilon Reshef, Chief Product Officer and Co-Founder at Gong. ”The Gong Revenue Harness gives agents the context to reason over real customer conversations, the permission models revenue teams require, and blueprints reverse-engineered from your actual wins. Agents continuously monitor every deal, route the right work to the right person, and feed outcomes back so every cycle makes the system smarter. This is what it means to operationalize AI for revenue outcomes." Harnessing AI Agents to Deliver Revenue Outcomes at Enterprise Scale While revenue teams know what it takes to win, high-value work like account research, stalled deal analysis, and renewal prep rarely happens consistently. Traditional CRM-native approaches miss the conversational signals that drive revenue, while DIY agent builders lack governance. Custom Agents solve this by allowing any stakeholder to describe a workflow in natural language inside Gong (e.g., monitoring accounts over $100K for specific risk signals and alerting the AE before Monday morning). As these agents run on the Gong Revenue Harness, they operate with strict enterprise control, scoped data access, a full audit trail, and configurable human oversight. Every agent inherits the security permissions already in place across Gong today, ensuring safe, autonomous execution. "As Udemy continues scaling globally, consistency and insights across our GTM team become increasingly important," said Grainne Wafer, Global Head of Field & Partner Enablement at Udemy. "Gong helps us simplify how people access information and take action, making it easier to scale effective workflows, apply best practices, and support more proactive, AI-driven execution across the organization." "As a company that embraces AI across the business, we always look for ways to help our teams turn customer insights into action," said Karine Terzibachi, Chief Business Officer at Attentive. "Gong helps us capture the voice of the customer at scale and share those insights across the company. With AI-powered intelligence in our workflows, we can make better decisions, share best practices more easily, and give customers a more consistent experience." Gong Assistant: Your Revenue AI, Always by Your Side AI shouldn't just run in the background; it needs to assist reps in the moment. Mission Big Dipper expands Gong Assistant to bring conversational AI directly into the flow of daily work: AI Builder in Gong Assistant: Teams can move from insight to action in a single conversation. Reps can ask what is driving a specific renewal risk and immediately generate a board-ready readout or objection-handling guide without losing context or switching tools. Gong Assistant in Account Console: Brings conversational AI directly into the account context, so account teams can prepare for meetings, investigate issues, align on upsell strategy, and generate outputs without leaving the flow of work. Gong Assistant in a standalone workspace: Gives revenue teams a dedicated home for analysis and building outputs. The workspace introduces new ways to focus the assistant with filters to zero in on a segment, team, or motion. Gong Enable: AI-Powered Rep Readiness and Coaching AI agents can manage the busywork between meetings, but revenue growth still hinges on the human interaction itself. Gong Enable introduces three new capabilities to close the gap between preparation and performance: Dry Run: Reps can launch realistic role-play rehearsals directly from an upcoming calendar invite. Gong automatically replicates the customer persona using real account context and conversation history, so the practice mirrors the actual call. AI Coach: Delivers a personalized, interactive conversation immediately after every AI Trainer session, giving reps concrete guidance before their next client attempt without waiting for a manager. AI Builder for Scorecards: Enablement teams can automatically generate complete, coaching-ready scorecards based on the exact criteria found in their top-performing closed-won calls, eliminating hours of manual evaluation design. Custom Agents are generally available this month, with new capabilities rolling out over the coming months. AI Builder in Gong Assistant, Gong Assistant in a standalone workspace, AI Coach, and AI Builder for Scorecards are generally available this month. Gong Assistant in Account Console and Dry Run are expected to be available in July 2026. To learn more about Mission Big Dipper, visit https://www.gong.io/blog/mission-big-dipper-revenue-ai-os ### About Gong Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical revenue workflows, and close more deals with less effort. For more information, visit www.gong.io.

Press Release
June 24, 2026
Gong Growth Accelerates Past 55% YoY as Enterprises Adopt Revenue AI; ARR Tops $500M

Gong Growth Accelerates Past 55% YoY as Enterprises Adopt Revenue AI; ARR Tops $500M

Tenth consecutive quarter of accelerating growth as customers standardize on Gong's Revenue AI Operating System SAN FRANCISCO — May 12, 2026 — Gong, the leader in Revenue AI, today announced continued growth acceleration to over 55% year-over-year in its most recent quarter, marking the tenth straight quarter of accelerating growth rate. Annual recurring revenue (ARR) has now surpassed $500 million. It signals a category shift: enterprises are rebuilding their revenue stack around AI, with Gong as the standard. Three forces are driving Gong’s acceleration: AI mandate from the top. Boards are demanding sales productivity gains from AI. Gong is the #1 AI platform revenue teams are choosing. Tech stack consolidation. Companies are consolidating fragmented sales tech onto a single revenue platform, replacing a generation of legacy point solutions. Gong's AI products Engage, Forecast, and Enable are driving the expansion. Large enterprise. The world's largest companies are deploying Gong for production-grade AI rollouts, not pilots. Gong added more $1M+ customers in the last two quarters than in the previous six combined. Revenue has been broken in plain sight. Sellers spend 77% of their time on non-selling activities. A multi-trillion dollar industry runs 70 to 80% inefficient. The root cause is structural: legacy CRM depends on humans to log what happened, and it's hard to use. So in turn, go-to-market teams don't use it. Bad data in, no real insight out, and no automation is possible. Three of every four dollars get wasted on motion that doesn't convert. Gong is replacing that premise. The Gong Revenue Graph turns customer interactions across emails, calls, meetings, and deals into a living memory layer - one that makes real intelligence and automation possible for the first time. Gong's proprietary AI models, trained on revenue-specific data and combined with leading LLMs, convert that layer into decisions: which deals to chase, where the team is at risk, what to do next. Revenue professionals stop updating systems. The system runs the work. Today, 50% of Gong's customers now run multiple products on the platform, and use of flagship AI capabilities like Gong Assistant grew over 200% year over year. "We launched Gong a decade ago with a bet: AI would be bigger than cloud," said Amit Bendov, CEO and Co-Founder of Gong. "The market wasn't ready, so we toned the message down for years. The last three years have been the unlock. Every company is now investing in AI as a strategic priority, and the vision we had a decade ago is the reality driving this acceleration." Enterprise adoption of Gong has grown significantly year-over-year, with half of the Fortune 10 among Gong's customer base. Organizations such as ADP, Anthropic, Canva, Cisco, Docusign, Google, Paycor, Uber for Business, and Thomson Reuters are seeing immediate, measurable outcomes, including: Anthropic increased seller productivity 64%, giving AEs back 10 hours a week Uber for Business used Gong's agents to lift response rates 32% Canva saw a 60% lift in rep capacity Paycor achieved a 141% increase in deal wins “Scaling a B2B business in fintech requires strong visibility into your pipeline and how deals are actually progressing since the sales cycle is longer, more regulated, more risk-heavy, and more multithreaded than in other industries,” said Jason Steckler, Head of Revenue Strategy and Operations at Chime. “We saw immediate impact after implementing Gong, with strong productivity gains across our sales team and a much clearer view of what’s happening across our deals. We now have the insights to be more proactive in our go-to-market strategy and execute more effectively as we grow, and we’re excited to continue scaling our business with Gong as a key part of that growth.” "Recently surpassing $500M in ARR is a testament to how Gong has uniquely combined proprietary data with deep, real-world context on how GTM decisions are actually made,” said Dharmesh Thakker, General Partner at Battery Ventures. “By mastering the intersection of domain expertise and AI model optimization, they deliver the high-impact insights and orchestration necessary for revenue teams to operate at scale. Gong's advantage isn't just the AI, but the data and real-world context underneath it." Gong was recently named a Leader in the Gartner Magic Quadrant for Revenue Action Orchestration and recognized by Fast Company as one of the World's Most Innovative Companies of 2026 in Applied AI. About Gong Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical revenue workflows, and close more deals with less effort. Learn more at gong.io.

Press Release
May 12, 2026
Unlocking the “Trust Barrier” for Enterprise AI: New Gong Research Reveals Transparency as the Key to Competitive Advantage

Unlocking the “Trust Barrier” for Enterprise AI: New Gong Research Reveals Transparency as the Key to Competitive Advantage

The "AI Trust Barrier" is real – and it’s costing companies their competitive edge Data and security concerns are the top factors eroding trust (34%), followed by a lack of explainability (30%) and AI model transparency (28%) The ability to articulate AI outputs and data guardrails has emerged as a non-negotiable requirement for solution providers Nearly half (46%) of planned AI investments are currently stalled due to trust concerns—providing a clear blueprint for how vendors must evolve to win SAN FRANCISCO and LONDON – April 15, 2026: Gong, the leading revenue AI company, today released new research revealing an AI trust barrier that stands between companies innovating with AI and those stuck in exploration and confusion. The study, which was supplemented by findings from Gong Labs, showed that 58% of companies (US: 63% | UK: 52%) had stalled AI projects. Here’s why: it’s not a lack of budget – it’s a deficit in trust. The research explored how concerns about data privacy, security, and transparency lead to a lag in adoption. Gong understands how to help revenue leaders get the assurance they need to drive AI adoption success. Gong Labs data, based on aggregated and de-identified signals derived from over 25 million sales interactions processed within Gong’s platform, found that one in four calls referenced security, with uncertainty over AI's foundational data and learning mechanisms the most commonly discussed topics. A study of over 2,000 US and UK leaders reveals that transparency in how AI generates outputs is essential for them to trust, invest in, and deploy AI tools. As it stands, 75% (US: 80% | UK: 70%) of leaders feel their organizations are falling behind when it comes to realizing AI’s most powerful benefits, giving solution providers an opportunity to allay concerns and drive their success. "Security and AI trust are no longer back-office conversations; they are revenue conversations,” said Chris Peake, Chief Trust Officer, Gong. “Gong’s research found that trust can be a performance multiplier when applied as part of an AI strategy. The competitive advantage delivered by AI is no longer up for debate, but the trust barrier remains for those using tools that have yet to establish this trust. By embedding enterprise-grade governance directly into the Revenue AI OS, we’re helping the world’s most successful teams bypass the doubt and move straight to acceleration.” Trust barriers preventing adoption of unproven AI tools identified The survey uncovered several barriers preventing companies from adopting AI solutions from providers that had failed to allay their concerns: With more than half of companies having delayed or cancelled their plans to adopt an AI tool, the data suggests that organizations are under-utilizing powerful AI capabilities and leading these companies to miss out on transformational gains. What’s more, this same lingering uncertainty had meant 46% (US: 44% | UK: 47%) of their planned AI investments had been paused, on average. Barriers can be overcome through enterprise-grade guardrails and transparency standards The top assurances leaders said would help them confidently adopt AI solutions were: With the right guardrails, trust can be an enabler of a successful AI strategy. Gong works with customers to address the trust gap by building enterprise-grade security and data governance within its Revenue AI Operating System, producing explainable and relevant insights using its context-aware AI, grounded in patterns observed across aggregated customer usage, and providing built-in governance and insight. Gong enables custom redaction capabilities, enabling organizations in highly regulated industries to safely leverage AI insights that previously couldn’t be monitored or analyzed due to data privacy risks. To learn more about the report’s findings and how Gong safeguards companies’ data, standardizes AI trust, and embeds assurances directly within the Revenue AI OS, read the blog. Methodology The research was conducted by Censuswide, among a sample of 2,056 business leaders at medium and large businesses across the UK and US. The data was collected between January 6 - 9, 2026. Censuswide abides by and employs members of the Market Research Society and follows the MRS code of conduct and ESOMAR principles. Censuswide is also a member of the British Polling Council. Additional research was conducted by the Gong Labs research team by analyzing aggregated, de-identified metadata and topic-level signals derived from sales interactions with Gong from January 1 - December 31, 2025. Gong Labs research does not involve reviewing or exposing individual customer conversations and is designed to reflect broad, industry-level trends. About Gong: Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

Press Release
April 15, 2026