# Paathz attracts 50,000 profiles to fix hotel hiring Canonical-URL: https://hoteltech.news/digest/paathz-ai-hotel-hiring Text-Version: https://hoteltech.news/digest/paathz-ai-hotel-hiring.txt Markdown-Version: https://hoteltech.news/digest/paathz-ai-hotel-hiring.md Language: en Published: 2026-10-21T14:01:32.388Z Modified: 2026-10-21T14:01:32.388Z Author: Joan Sanz Topics: Artificial Intelligence Summary: Ayush Soota's AI platform replaces CVs with structured profiles and promises to match hospitality talent with hotels that are tired of filtering noise. ## Article Ayush Soota has a number that makes hotel HR directors sit up: **50,000 professionals** joined Paathz during its beta phase. His platform, which he explains in [this interview with Hospitality Net](https://www.hospitalitynet.org/interview/4135014/breaking-the-hospitality-hiring-crisis-in-conversation-with-ayush-soota-founder-of-paathz), replaces the classic CV with structured profiles and uses AI to match candidates to hospitality roles. No more PDFs with a photo and three lines about "passion for service." The proposal is to turn hiring into a structured data problem, not a pile of inbox applications. The context that the interview does not spell out: hotel hiring has been stuck in a paradox for years. There are vacancies, there are candidates, and yet the process consumes weeks. A front desk manager in a 120-room urban hotel can spend entire mornings filtering applications that do not even meet the shift availability requirement. Paathz's bet is that the problem is not a lack of people but a lack of format. If the candidate's profile is structured from the start, the AI can cross-reference skills, availability, languages, and experience with what the hotel actually needs. That is where the real saving appears: not in posting the job, but in the hours that disappear from the selection process. The figure of 50,000 professionals in beta is not trivial. It suggests that the supply side is willing to adopt new formats if they make their lives easier. The risk, as always with AI-powered matching platforms, is that the algorithm promises precision it cannot deliver. There is no public data yet on how many of those 50,000 profiles have converted into actual hires, nor on retention once the person is in the job. The number is a starting point, not a result. What to watch: whether Paathz publishes conversion and retention metrics in the coming months, and whether hotel chains integrate this type of platform into their ATS or prefer to keep building on their own. If AI-driven matching proves that it reduces time-to-hire without raising turnover, the hotel recruitment market has a new player to take seriously. ## Sources - Hospitality Net: https://www.hospitalitynet.org/interview/4135014/breaking-the-hospitality-hiring-crisis-in-conversation-with-ayush-soota-founder-of-paathz ## Citation Paathz attracts 50,000 profiles to fix hotel hiring. Hotel Tech News. 2026-10-21. https://hoteltech.news/digest/paathz-ai-hotel-hiring