monday.com and Airbnb Quantify AI Returns
monday.com and Airbnb reported measurable AI returns on August 10: monday.com's AI product ARR doubled from Q1 to Q2 2026 and reached 17% of net new ARR, while Airbnb said support cost per booking fell about 16% year over year and its AI assistant resolved nearly 45% of guest issues without a human agent.
monday.com and Airbnb reported measurable business outcomes from AI in their recent earnings communications: revenue contribution in monday.com's case, and lower support costs and higher operating throughput at Airbnb.
According to PYMNTS, annual recurring revenue from monday.com's AI products doubled between the first and second quarters of 2026 and represented 17% of net new ARR. The publication attributed the figures to a company earnings call, where monday.com's co-CEO described customers as choosing AI features and paying more when they find value.
Airbnb reported a complementary cost-side measure. PYMNTS said customer-support cost per booking fell approximately 16% year over year, with the company's AI assistant resolving nearly 45% of guest issues without human-agent involvement. The publication also reported that AI reduced concept-to-launch time by as much as 60%, contributing to nearly 80% more features shipped in the first half of 2026 than a year earlier.
Airbnb's earnings context
Investor's Business Daily reported that Airbnb's June-ended second quarter revenue increased 17% year over year to $3.61 billion, while gross booking value rose 16% to $27.2 billion. On the earnings call, CEO Brian Chesky said the AI agent was resolving 45% of customer issues without requiring a human agent.
Chesky linked lower friction in the guest journey to booking conversion, stating: "By reducing friction across the guest journey, we are converting more traffic into bookings and that's become one of the biggest drivers of our growth."
He also framed inference spending against the value of a booking: "If AI can just increase our conversion rate just a little bit, the inference cost is so outweighed by the amount of money we make on that increased ROI."
From adoption measures to operating metrics
These disclosures use different measurement models. monday.com's figure connects AI features to net new recurring revenue, while Airbnb's figures connect automation to unit support costs, issue-resolution rates, delivery speed, and potentially conversion.
For AI and data teams, comparable enterprise evaluations commonly require this kind of linkage between a model-enabled workflow and a financial or operational baseline. Adoption counts can establish usage, but revenue attribution requires pricing and product telemetry, while support-cost claims require consistent definitions of issue volume, escalation, agent labor, and booking cohorts. The reported figures do not by themselves establish a universal AI ROI benchmark, but they provide concrete examples of how large software and marketplace businesses are presenting AI performance to investors.
Key Points
- 1PYMNTS reports that monday.com's AI product ARR doubled quarter over quarter and reached 17% of net new recurring revenue.
- 2Airbnb reported lower support costs per booking as its AI assistant resolved nearly 45% of guest issues without human agents.
- 3Enterprise AI ROI measurement increasingly links model-enabled workflows to revenue, unit costs, resolution rates, and delivery throughput rather than adoption alone.
Scoring Rationale
The disclosures offer concrete AI revenue and cost metrics from two prominent software and marketplace businesses, which are useful reference points for enterprise AI measurement. The story is notable for operational accountability rather than a new model, platform, or broadly reusable technical release.
Sources
Public references used for this report.
Practice with real Hotels & Lodging data
90 SQL & Python problems · 15 industry datasets
250 free problems · No credit card
See all Hotels & Lodging problems
