Hey everyone,
There was a moment, late spring, when I didn’t know why I was clicking send.
So I paused the PSFK and RIW newsletters over the summer. I didn’t really know what value they were delivering anymore, and I was worried the experimenting I was doing with them was starting to feel like noise rather than innovation.
And I spent the summer adding to the knowledge inside of Fodda.
But here’s where I’ve landed, after thinking about it for a while. I don’t think you need more information, you can get that anywhere now. I think what you actually need is something specific enough to stand behind, a call you could make in a room and be right about. No one wants to be the one blamed for the wrong call.
So, starting with this issue, I’m going to try fewer trends, and each one backed by something you can actually check yourself. Less “here’s what’s happening this week,” more “here’s one thing worth acting on, and here’s the evidence for it.”
I can’t promise perfection - I will continue to use tools and Fodda data to prepare these. But the topic choices and narrative will be mine. Hopefully there’s something in here that makes your world a little easier.
The Battle for the Booking Layer: Why Lodging Leaders Are Building Moats Against AI Disintermediation
The travel industry is entering the era of “OTA 2.0.” Just as online travel agencies in the 2010s inserted themselves between hotels and guests to extract 15% to 25% distribution commissions, autonomous AI agents now threaten to become a far more aggressive gatekeeper. Recent industry trials reveal that Google has begun active testing of agentic hotel booking in the United States, allowing conversational bots to handle room comparison, reservation, and checkout via Google Pay in a single flow with partners like Booking Holdings. Simultaneously, transport platforms like Uber are embedding hundreds of thousands of Expedia hotel listings directly into their apps to capture traveler intent mid-journey.
This rapid consolidation represents the collapse of the traditional fragmented travel journey. Where travelers once researched and compared options across a dozen open browser tabs, conversational interfaces now bundle inspiration, scheduling, and payment into continuous chat threads. For major hospitality operators, the danger is clear: if third-party AI agents control the conversational interface, hotel brands risk being reduced to interchangeable fulfillment utilities while digital middlemen capture the customer relationship, the margin, and the guest profile.
Rather than surrendering the front door, the leading hospitality and lodging operators are waging a proactive counter-offensive. By pairing proprietary in-app AI features with physical scale and exclusive loyalty perks, brand leaders are establishing durable moats that force AI gatekeepers to partner rather than disintermediate.
Hilton Worldwide is confronting the aggregator threat by deploying its own conversational tools while wielding undeniable physical leverage. Rather than waiting for third-party bots to scrape its inventory, Hilton rolled out the Hilton AI Planner inside the Hilton Honors app, enabling travelers to build tailored trip itineraries directly inside its proprietary digital walled garden. To defend its commercial boundaries externally, Hilton is engaging in direct commercial partnerships with frontier model developers, including Gemini, OpenAI, and Anthropic. Hilton’s primary leverage rests on controlling over 25% of quality U.S. room inventory. Because no AI agent can claim to offer a credible travel service without access to a quarter of the nation’s premier hotel rooms, Hilton is able to dictate terms, ensuring that discovery leads back to proprietary booking pipes rather than predatory third-party checkouts.
Marriott International is taking a direct channel approach by transforming its core digital properties into conversational search engines. Marriott is executing a phased rollout of natural-language AI search across marriott.com and the Marriott mobile app, allowing guests to describe complex trip requests, personal preferences, and trip vibes directly on brand-owned surfaces. Having transitioned its 1,000th hotel to an integrated modern technology ecosystem, Marriott connects these conversational interactions to a physical network of 1.6 million hotel rooms and an active base of over 200 million Bonvoy loyalty members. By offering member rates, customized upgrades, and points redemption that third-party scrapers cannot touch, Marriott ensures that even when conversational discovery happens on external platforms, the final checkout is routed into its direct booking ecosystem.
Airbnb is defending a two-sided marketplace built on trust infrastructure that generalist algorithms cannot crawl or replicate. While software bots can easily aggregate standard hotel room codes, they cannot verify a private host or resolve a guest dispute in the real world. Airbnb’s moat is anchored in 200 million verified user identities and proprietary trust resolution networks, backing more than $100 billion in annual gross transaction volume. To further insulate itself from search commoditization, Airbnb is expanding non-commodity inventory through curated offerings like Guest Favorites, unique home design tiers, and local experience partnerships. Because foundational language models are non-proprietary commodities, Airbnb can fine-tune conversational agents on its own private supply data while keeping customer settlement securely on its own balance sheet.
The strategic takeaway across consumer categories is straightforward: conversational interfaces will commoditize pure software discovery, but enduring pricing power belongs to businesses that control physical fulfillment and verified customer networks. Autonomous AI models can craft a vacation itinerary, but they cannot unlock a hotel room door, guarantee guest safety, or deliver a hospitality experience. For brand leaders watching agentic commerce expand into their sectors, survival requires owning the physical touchpoints and identity layers that turn external AI platforms into search referral conduits rather than margin-draining gatekeepers.
Retail Innovation Experts As Human Agents On Fodda
I wanted to introduce you to the fastest growing aspect of the Fodda context layer: Human Agents. These are AI agents built with real experts who have agreed to let us ingest their knowledge so that companies like yours can use via LLM or agentic systems.
They can answer questions, research the rest of the knowledge graphs and data sources and also work in an agentic manner. Try today via a paid Claude session with Fodda connected. (One click connection here).
We have started with a small group to ensure excellent response but it's growing every day. We've supplemented this knowledge with a few 'Classic Agents' built on the first-person narrative works of some inspirational thought leaders. Here's a sample - with suggested first prompts.
Thorstein Veblen — Ask status economist Thorstein Veblen why luxury retail formats need visible scarcity and high price signaling to maintain customer demand and prestige.
Henry David Thoreau — Ask minimalist philosopher Henry David Thoreau how retailers can eliminate unnecessary inventory complexity and design frictionless, minimalist shopping journeys.
Great call @Piers. It was definitely an interesting experiment, and you seemed to build it well. But I expect we are all overwhelmed by the same fire hose we're trying to drink from, and curation to "less is more" is welcomed. You and your team have always delivered good, sound quality, so I expect that this decision will be a good one. Keep up the always interesting and good work.