Skift · 19 May 2026
MakeMyTrip has begun regulatory groundwork for a domestic India listing, though no timeline has been set. The move signals intent to establish a dual-listed presence on Indian exchanges alongside its existing Nasdaq listing.
Daily Intelligence
Tuesday, 19 May 2026
Also today
Following PM Modi's public appeal to Indian travellers to prioritise domestic destinations over international travel, Indian travel companies are responding with campaigns promoting local tourism. However, high domestic airfares relative to outbound options remain a structural barrier to shifting behaviour.
Skift·19 May 2026
MakeMyTrip's Q4 FY26 profit dropped 16.8% year-on-year to $24.3 million, even as revenue grew modestly by 1.9% to approximately $250 million, with the profit decline attributed to rising finance costs.
Inc42·19 May 2026
MakeMyTrip reported full-year FY26 gross bookings of $10.4 billion, underscoring its continued dominance in India's online travel market. This figure reflects transaction volume across flights, hotels, and holiday packages.
Google News (MMT)·19 May 2026
Travel Sector
Air India cuts likely to drive fare hikes - TTG Asia
Air India's capacity cuts are expected to tighten seat supply on key domestic routes, putting upward pressure on airfares across the network.
Why it matters
Rising domestic fares reduce price-sensitive traveller demand and compress OTA conversion rates, particularly for last-minute and leisure bookings.
Google News (Airlines)·19 May 2026
Design & Product
Inside Figma’s AI Push: Faster Products, Smarter Collaboration, Better Design - ciol.com
Figma is deepening its AI integration across the design platform, targeting faster design production, smarter collaboration features, and improved handoff between design and development. The push reflects Figma's positioning against emerging AI-native design tools.
Why it matters
Travel product design teams work extensively in Figma; new AI capabilities in the tool will directly accelerate design velocity and prototype fidelity if adopted effectively.
Google News (Design AI)·19 May 2026
The piece argues that AI is shifting the designer's role from craft execution toward experience architecture — defining how AI systems behave across interactions rather than designing individual screens. It frames this as an evolution in scope, not a replacement of design skills.
As OTAs integrate AI into search, recommendations, and support, designers need to evolve their practice toward shaping AI behaviour and guardrails, not just visual interfaces.
The article examines how latency in AI-powered products creates a distinct UX challenge — users experience uncertainty and anxiety during wait states that differ from traditional loading patterns. It proposes design strategies for making AI processing feel intentional rather than broken.
Travel search and AI trip planning features inherently involve processing delays; poorly designed wait states erode trust and increase abandonment at a critical conversion moment.
Amplitude's piece advises product teams to frame AI queries around specific outcomes rather than open-ended exploration, proposing three outcome-oriented question types for getting useful answers from AI analytics agents.
As travel product and growth teams adopt AI-assisted analytics, developing structured prompting practices will determine how much actionable insight they extract versus noise.
Amplitude built an internal design agent using Claude and Cloudflare that enforces design system consistency across AI-generated UI, addressing the visual incoherence problem that arises when LLMs produce interfaces without brand constraints.
As travel product teams explore AI-generated UI or rapid prototyping, maintaining design system fidelity becomes a technical problem, not just a process one — this case study shows one viable architecture.