Airbnb Says AI Is Helping It Build Features Faster as It Tests AI-Powered Search

Airbnb is increasingly using artificial intelligence not only inside its products, but also behind the scenes to build those products faster.

The travel platform says AI has helped its engineering teams accelerate development, while the company is simultaneously testing a new AI-powered search experience that could change how guests discover accommodation and travel experiences.

The developments highlight two sides of the AI transformation taking place across technology companies: AI is becoming both a tool for building software and an interface through which customers use it.

AI Is Changing How Airbnb Builds Software

According to Airbnb CEO Brian Chesky, AI is allowing the company to move from an idea to a working product significantly faster.

The company says AI has reduced development time for some initiatives by as much as 60%, while the number of product features and improvements shipped during the first half of 2026 increased by nearly 80% compared with the same period last year.

That doesn't necessarily mean AI is replacing Airbnb's engineers. Instead, AI is being used to increase the amount of work engineering teams can accomplish, allowing developers to spend less time on repetitive coding tasks and more time on product decisions, architecture and solving complex problems.

This is an important distinction for businesses considering AI adoption. The biggest productivity gains may not come from replacing employees. They can come from giving existing teams tools that allow them to build, test and iterate faster.

Airbnb Is Also Testing AI-Powered Search

At the same time, Airbnb is experimenting with a different application of AI: changing how customers search for accommodation.

Traditional Airbnb search relies heavily on destinations, dates, filters and categories. An AI-powered approach can allow users to describe what they are looking for in more natural language.

Instead of searching through multiple filters, a traveller could potentially describe the type of trip they want and allow AI to interpret the request and identify relevant listings.

Airbnb is testing this experience rather than forcing it on all customers. The company has indicated that it wants to preserve the traditional search and filtering experience for people who prefer it.

Why AI Search Is Different

The change may appear small, but conversational search can fundamentally alter how businesses are discovered online. Traditional search largely works around keywords and filters. AI search works more like a conversation.

Find me a quiet place near Nairobi for a weekend with reliable Wi-Fi, parking and a good workspace.

An AI system can interpret the different requirements and attempt to match them against available properties. The user doesn't necessarily need to know which filters to select.

This means businesses increasingly need their digital information to be structured, accurate and understandable to AI systems.

AI Is Becoming the New Interface

Airbnb's strategy reflects a broader shift taking place across the technology industry. For years, businesses built websites and apps around menus, buttons, search boxes and filters. AI is beginning to introduce another layer.

Instead of navigating an application manually, users can increasingly describe what they want and let an AI system determine the steps required to get there. That could eventually turn many applications into conversational interfaces.

The customer doesn't need to understand how the underlying system works. They simply explain the desired outcome.

What This Means for Businesses

The development has implications far beyond travel. Consider an online retailer. A traditional customer might search: "Samsung phones → 8GB RAM → 256GB → under KSh 50,000."

An AI-powered shopping experience could allow the customer to say: "I need a reliable phone for photography, gaming and business use, preferably Samsung, and my budget is around KSh 50,000." The system can interpret the request and recommend suitable products.

For a service business, the interaction could look completely different from traditional website navigation. A customer could say: "I need a website for a small Kenyan business with online payments, WhatsApp integration and automated customer enquiries." The AI interface could potentially understand the requirements and recommend appropriate services.

Websites Need to Become More Machine-Readable

This shift creates an important challenge for businesses. It is no longer enough for information to simply look good to human visitors. Business information increasingly needs to be understandable to software systems.

That means paying attention to:

• Structured product information
• Accurate business details
• Clear service descriptions
• Frequently updated information
• Well-organised databases
• APIs and integrations
• Structured data
• Search-friendly content
• Clear pricing and availability information where appropriate

The better a business's digital information is organised, the easier it can potentially be consumed by search engines, AI assistants and other software systems.

AI Could Change SEO Again

The evolution of Airbnb's search experience also contributes to a much larger change in digital marketing. For years, businesses focused heavily on ranking pages for specific keywords.

AI-powered search introduces a different objective: become the business an AI recommends when a customer describes a need. That requires more than keyword optimisation.

A company needs authoritative information, accurate data, strong reviews, useful content and a digital presence that clearly communicates what it offers. This is one reason businesses should begin thinking about AI visibility alongside traditional SEO.

The Opportunity for Kenyan Businesses

The same trend is relevant to businesses in Kenya. Hotels, restaurants, property managers, tour operators, retailers and service providers increasingly depend on digital platforms to attract customers.

As AI becomes more involved in discovery, businesses that provide detailed and structured information may have an advantage. For example, a Nairobi hotel should not simply have a page saying that it is a hotel in Nairobi. Its digital information could clearly communicate:

• Location
• Room types
• Amenities
• Nearby attractions
• Meeting facilities
• Dining options
• Check-in information
• Accessibility
• Transport options
• Availability and booking mechanisms

That gives both humans and automated systems more information to work with.

The Bigger Story: AI Is Accelerating Both Sides of Technology

Airbnb's AI strategy illustrates something important. AI isn't just becoming another feature added to an existing product. It is influencing how products are built and how customers interact with them.

On the development side, AI can help engineers write and test software faster. On the customer side, AI can help people discover and interact with services using natural language.

That creates a feedback loop: AI helps businesses build faster, businesses launch more AI-powered experiences, customers become more comfortable interacting with AI, and demand for AI-native products increases.

Our Take

Airbnb's experiment is worth watching because it represents two of the most important AI trends happening at the same time. First, companies are discovering that AI can dramatically increase the speed at which their teams build software. Second, businesses are beginning to replace traditional search interfaces with conversational experiences.

For businesses, the lesson is straightforward: don't think about AI only as a chatbot. AI can be a development tool, a customer-service system, a search engine, a recommendation engine, an automation layer or even the primary interface through which customers interact with your business.

The companies that start designing their digital infrastructure around these possibilities now may be better positioned for an internet where customers increasingly tell software what they want instead of manually searching for it.

Source: TechCrunch reporting on Airbnb's AI development strategy and new search experiment, with additional context from Airbnb's reported earnings and product developments.