Corporate Hotel Programs Evolve Amid AI and Market Pressures

The Global Business Travel Association (GBTA), in partnership with Radisson Hotel Group, published a research report titled The Evolution of Managed Hotel Programs based on a survey conducted April 20 through May 13, 2026. The survey sampled 258 corporate travel managers across North America and EMEA, per GBTA. The report states that global business travelers spend $461 billion annually on lodging, representing the largest share of corporate travel spend, per GBTA's Business Travel Index. The research finds that while cost savings remains the anchor of hotel sourcing, traveler experience and safety/risk management have grown as RFP priorities. The study also reports that 54% of organizations outsource RFP activities at least partially to travel management companies (TMCs) or consultants, per GBTA. Notably on AI adoption, the report finds that 32% of programs used AI in the most recent RFP cycle, but more than 69% expect to use it in the upcoming cycle, per GBTA. Travel buyers report strong interest in AI for both decision support (70%) and automation (56%), while emphasizing that human oversight remains essential for qualitative factors such as traveler preferences and brand fit.

Suzanne Neufang, CEO, GBTA, said: "This research offers timely insights into the growing opportunity for managed hotel programs to evolve to meet a rapidly changing and unpredictable market environment. We see a clear picture emerging of travel managers striving to balance increasing costs against managing risk and enhancing the traveler experience, while also actively leveraging AI to simplify and drive smarter, more efficient programs."

Companies in comparable procurement functions have been adopting AI-driven tooling for three common use cases: automating RFP workflows, dynamic rate and availability analysis, and traveler-personalization engines that map policy to individual preferences. The GBTA report does not disclose specific vendors or models. For practitioners, the practical AI surface in hotel sourcing typically includes automation in data ingestion from property management systems, rules-based policy engines augmented with machine-learned recommendations, and NLP for parsing proposals and clauses.

Corporate lodging accounts for a large share of travel budgets, magnifying the operational impact of sourcing inefficiencies and compliance gaps. GBTA-Radisson reporting frames current market dynamics as more volatile and regionally uneven, with negotiating conditions described as "more complex and less predictable" in some markets. Outsourcing of RFP activity remains widespread, with 54% of organizations using TMCs or consultants at least partially, per GBTA. Dynamic discounts grew for the second consecutive year: 49% of hotel programs saw an increase in dynamic discounts, while only 17% saw an increase in fixed rates, per the report.

AI adoption rates in RFP tooling (the 32%->69% jump is survey-projected, not yet confirmed); vendor partnerships enabling automated RFP scoring or dynamic rate optimization; changes in outsourcing share to TMCs; and regional negotiation volatility across North America, EMEA, and APAC that affect sourcing strategies.