Airbnb says AI writes 60% of its code as revenue jumps 17% and stock surges 15%

Reviewed byNidhi Govil

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Airbnb posted strong Q2 earnings with $3.6 billion in revenue, up 17% year-over-year, as CEO Brian Chesky credited artificial intelligence for transforming the company. AI now writes 60% of Airbnb's code and has cut product development time by 60%, while an AI-powered customer support bot resolves 45% of issues without human intervention, reducing support costs by 16%.

Airbnb Credits AI for Strong Q2 Performance

Airbnb delivered one of its strongest growth quarters in years, posting Q2 earnings that beat Wall Street expectations with revenue reaching $3.6 billion, up 17% year-over-year

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. Adjusted EBITDA jumped 21% to $1.3 billion, while net income climbed to $816 million, or $1.37 per share, compared to $1.03 a year earlier

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. The company's stock surged 15% following the announcement, with investors cheering both the results and raised revenue forecast

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. Gross booking value reached $27.2 billion as guests booked 148.3 million nights and seats, representing 10% growth

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Source: Benzinga

Source: Benzinga

CEO Brian Chesky declared that "AI is the best thing to ever happen to Airbnb" during the company's post-earnings call

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. This marks a dramatic shift from a year ago when the company was still questioning whether artificial intelligence would benefit or harm its business model

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. Airbnb raised its full-year outlook for the second time in 2026, now expecting revenue growth of at least mid-teens, up from its previous forecast of low to mid-teens

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AI Writes 60% of Code and Accelerates Product Development

Artificial intelligence now writes 60% of Airbnb's new code, fundamentally transforming how the company builds products

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. The AI-driven transformation has cut the time from concept to launch by as much as 60% across key initiatives

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. Compared to the same six-month period last year, Airbnb increased the number of features and improvements it shipped by nearly 80%

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Chesky told CNBC in an exclusive interview that the company will spend "a lot more" on AI tokens this year than originally forecast because inference costs "pale in comparison" to the revenue and productivity gains

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. The company is keeping headcount roughly flat even as AI spending rises sharply, with productivity gains spreading from engineers to product development, design, marketing, and creative services

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. AI integration has helped across critical areas including search, sign-up, checkout, and payments, with Chesky noting that reducing friction across the guest journey has become one of the biggest drivers of growth

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Source: The Next Web

Source: The Next Web

Customer Support Costs Drop 16% Through AI Automation

Airbnb's AI-powered customer support bot has delivered measurable cost efficiencies, with customer support costs per booking declining approximately 16% year-over-year

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. The company launched its AI agent in North America in 2025 and has since expanded it to more than 50 languages, with plans to make it available for voice calls later this year

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Nearly 45% of customer issues that start with Airbnb's AI agent are completed without any human intervention

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. This automation has allowed the company to scale support while controlling costs, demonstrating how AI can deliver immediate return on investment in consumer-facing operations. Chesky emphasized that "it's really across the board: More demand, more supply, cheaper customer service"

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Airbnb Tests AI-Powered Search with Natural Language Processing

Airbnb announced it will begin testing AI-powered search functionality that accepts natural language queries from users

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. The new conversational search feature will include a toggle allowing users to switch between traditional search filters and AI-driven results, acknowledging that many customers prefer the current interface

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Source: PYMNTS

Source: PYMNTS

The AI search will present results in a visual format with conversational, AI-generated titles and personalized listing highlights created in real-time

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. Chesky noted the new search would be "hopefully less chatty" and warned it could take "months and months to retrain the customer"

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. The company is also building AI home comparisons and planning a voice assistant for phone support

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Becoming an AI-Native Company Through Founder Mode Leadership

Chesky credits Airbnb's transformation to becoming an "AI-native company" as the number one explanation for its strong results

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. The company hired Ahmad Al-Dahle, Meta's former head of generative AI and a leader of its Llama work, as chief technology officer in January to accelerate this shift

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. Chesky said Airbnb had been "maybe middle of the pack in AI" before Al-Dahle arrived with a mandate to make the company AI-native

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The CEO argues that maintaining founder mode rather than traditional manager mode is essential for winning in the age of AI. "The winners of AI are going to be the companies that embrace transformation," Chesky told CNBC, emphasizing the need for startup-like agility even at Fortune 500 scale

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. Airbnb uses more than a dozen AI models internally, including Anthropic's Claude Code and OpenAI's Codex, but Chesky is particularly bullish on open-source models for consumer-facing products

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. He noted that "consumers mostly do not need frontier models for most things" and emphasized the importance of matching the right tool to each task

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. Chesky is launching his own AI lab and predicts that within 18 months, Airbnb will be "very AI-native," with the future of vacation planning built on AI chatbot technology

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