Recalibrating Travel: What AI Changes, and What It Doesn’t

The Decision Brief
Recalibrating Travel: What AI Changes, and What It Doesn’t
Christopher Nassetta, President & CEO, Hilton
Moderated by Sean O’Neill, Skift
THE VERDICT
Every travel operator is weighing where to use AI first: to chase growth or to optimize profitability. Nassetta said Hilton has done both. He launched Hilton’s Project RISE in mid-2025, targeting 75 to 100 basis points of owner margin improvement through AI and process redesign. “Our job is to try and drive the absolute best profit per room we can,” Nassetta said. He said non-residential fixed investment exceeded 10% in Q2 2026, a level he said has been reached only twice since World War II, which gives the industry room to make structural cost improvements while demand is strong. The question for any travel company: can you use this economic wave to gain margins, or will you wait for a “normal” economic cycle?
PATHS FORWARD
- Commit to recurring margin improvement vs. one-off cuts. Nassetta said Hilton has teams “literally 100% committed to figuring out the next program” after RISE. He said he wants margin improvement to become “a recurring thing with dedicated people doing nothing but waking up every day thinking about it.” Travel companies treating AI-driven efficiency as a single initiative won’t build lasting success.
- Rebuild the tech stack before you need it. “I don’t want to have a world where all these startups … can outmaneuver us [with] agility and speed that we can’t have,” he said. Nassetta said he decided seven or eight years ago to scrap Hilton’s entire legacy technology and rebuild it, a decision that now lets Hilton move quickly on AI. Any travel company still running legacy systems is losing time it cannot recover.
- Give frontline staff better tools, instead of fewer people. “We’re a business of people serving people,” he said. Nassetta said AI will give hotel staff real-time customer information, resulting in a better human experience. Travel companies that use AI savings to cut staff are solving the wrong problem.
WHAT TO WATCH
- The AI-driven infrastructure spending cycle is still scaling up. “We’re not even at the peak of the cycle,” Nassetta said, adding that it will eventually “get overcooked and there’ll be winners and losers. That’s just the way things work.” The challenge will be to add margins while the tailwind lasts.
- How travel companies calibrate the balance between humans and AI in an agent-driven world. AI gives frontline staff real-time information about what a customer wants and what’s going wrong, while the human interaction is what builds loyalty. Watch whether fulfillment becomes a genuine competitive advantage or just another commodity as agent volume grows.
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Facts Only

* Hilton launched Project RISE in mid-2025.
* Project RISE targets 75 to 100 basis points of owner margin improvement through AI and process redesign.
* Non-residential fixed investment exceeded 10% in Q2 2026.
* Christopher Nassetta stated the job is to drive the best profit per room.
* Hilton decided to scrap its entire legacy technology and rebuild it.
* AI will provide hotel staff with real-time customer information for a better human experience.
* Travel companies cutting staff using AI are solving the wrong problem.
* The AI-driven infrastructure spending cycle is still scaling up, not at its peak.
* The challenge is to add margins while the current economic tailwind lasts.

Executive Summary

Travel operators are focusing on using Artificial Intelligence to improve profitability rather than solely pursuing growth. Hilton initiated Project RISE in mid-2025, aiming for a 75 to 100 basis point improvement in owner margin through AI and process redesign, with the goal of maximizing profit per room. Nassetta noted that non-residential fixed investment exceeded 10% in Q2 2026, suggesting room for structural cost improvements despite strong demand.
The path forward involves committing to recurring margin improvement rather than one-off cuts, ensuring dedicated personnel focus on continuous optimization. Furthermore, the necessity of rebuilding legacy technology before it becomes obsolete is emphasized, as outdated systems impede agility. Finally, AI should be used to enhance the human experience by providing frontline staff with real-time customer information, rather than being used to reduce staffing levels.
The broader context involves an ongoing AI infrastructure spending cycle, which remains in a scaling phase where winners and losers will emerge. A key area for observation is how travel companies balance the integration of AI efficiency with maintaining genuine human interaction to foster loyalty amidst increasing agent-driven environments.

Full Take

The narrative suggests a tension between short-term efficiency gains and long-term structural investment, complicated by the rapid evolution of technology adoption. The emphasis on building recurring margin improvements rather than temporary cost reductions points toward a necessary shift in organizational philosophy: treating AI not as a discrete project but as a continuous operational mandate requiring dedicated focus.
The argument against relying on legacy systems echoes a larger pattern where technological debt creates inertia, slowing down necessary strategic pivots. This implies that the perceived competitive advantage derived from an AI strategy is contingent upon foundational agility. The dynamic between human experience and agent-driven fulfillment reveals a critical point: the outcome of optimizing for volume must not erode the quality of interaction that sustains brand loyalty.
The observation regarding the infrastructure spending cycle suggests an awareness that momentum can wane or reverse, demanding strategic patience rather than immediate, maximal deployment. This forces consideration of where genuine competitive advantage lies—whether it is in achieving higher asset yields through automation or in defining a superior human-centric service layer built on top of those efficiencies. The underlying implication is that true success depends not just on technological implementation but on aligning operational goals with the human element they are intended to serve.

Sentinel — Human

Confidence

The text reads like a distillation of expert commentary from a high-level business forum, characterized by specific strategic directives rather than generalized information synthesis.

Signals Detected

Moderate sentence length variance; strong thematic focus rather than uniform rhythm.

High logical flow; clear articulation of a business strategy and its implications, suggesting an internal source or highly curated reporting.

Arguments are structured around direct quotes and thematic pivots (margin vs. tech stack vs. staff), typical of expert commentary rather than pure aggregation.

Claims about internal corporate strategy (Project RISE, specific margin targets) are anchored by a named CEO and context (Skift Moderated event), making fabrication less likely than boilerplate LLM generation.

Human Indicators

Direct attribution to a specific executive (Christopher Nassetta) and reference to internal projects (Project RISE) lend specificity that is difficult for pure synthetic text to emulate without specific prompting or access.

The complexity of the advice—balancing margin improvement with legacy tech debt and human-AI interaction—reflects nuanced, real-world business tension.