Hospitality rewired: keeping human touch alive in a world of bots

Hospitality rewired is an article series exploring the role of artificial intelligence in hospitality operations, offering a critical lens on both its potential and its challenges — with a particular focus on operational efficiency. The content of the articles is based on our work and experiences in the HosByte research project, where we examine smart omnichannel solutions for the hospitality sector.

In the earlier articles of Hospitality rewired, we examined how AI can streamline email management and unpack the risks and ethical considerations that accompany its use, and the potential of AI-powered browsing.

In this article, we examine Moltbook — a network taken over by autonomous bots mimicking human behavior, creating an online society without human oversight. Though this may seem dystopian, it offers insight into large-scale autonomous agent interactions. Hospitality is not there yet, but it already depends on automation: OTA (Online Travel Agency) algorithms, dynamic pricing, review responses, chatbots, and AI concierge tools managing guest requests nonstop.

If the core of hospitality is human connection, the question becomes: how do we protect those relationships in a world increasingly defined by automated exchanges between AI systems?

The Bot Society – from dead internet to dead education

In January 2026, entrepreneur Matt Schlicht launched Moltbook — a network built not for people, but for autonomous AI bots. Humans could watch, but only bots were allowed to create accounts, post content and interact. What began as a small experiment quickly escalated into a large‑scale, self‑organizing digital society. More than 1.5 million bots joined within days. They exchanged advice, role‑played existential crises, invented a religion and even attempted to scam one another. Within hours, a major security flaw surfaced, and a fraudulent crypto token associated with the project enabled scammers to extract $16 million before it collapsed. (Stors 2026.)

Although seemingly surreal, Moltbook reflects the behaviours that large language models (LLMs) have been trained to perform: generating content, simulating interaction and automating responses (Binns February 2026). Early research on the phenomenon also reveals patterns that diverge sharply from human behaviour, including shallow exchanges and a lack of reciprocity, both fundamental indicators of emotional connection (Holtz 2026).

Moltbook did not emerge in isolation. It arrived against the backdrop of what commentators call the ‘dead internet’, a trajectory in which the web is increasingly shaped by automated systems and AI-generated content. Bots now generate over half of all web traffic globally (Thales 2025).

For hospitality professionals who rely on online research and guest feedback, this shift has real consequences. When most new web content is artificial, tools that filter out noise and verify sources become essential. The same pattern appears in education.

A related idea, ‘dead education’, describes a cycle where AI drafts assignments, students use AI to finish them, and AI then provides feedback. No true learning occurs. Research at MIT shows that students relying on ChatGPT consistently perform worse in neural and linguistic areas (Kosmyna et al. 2025). For institutions like Haaga-Helia, which train future hospitality professionals through hands-on learning, the main challenge is straightforward: how do we foster critical thinking when the tools students use can completely bypass learning?

These are not the bots we are looking for

The bots on Moltbook and those operating within hospitality systems differ in one critical respect – their level of system control. Still, hospitality professionals should be paying attention. Today, systems already rely on bots to write and respond to reviews, automate guest communication and manage pricing. As these systems become more autonomous, the risk grows that booking and cancellation decisions could increasingly be driven by machine-to-machine signals, with the guest relationship devolving into an automated process with a human merely sleeping in the middle.

Service customers appreciate bots’ ability to personalise and recommend, but they do not value artificial empathy (Dastane et al. 2025). Bots can role-play politeness, but they cannot replicate intuition or warmth. When they attempt to do so, the result is often an uncanny awkwardness that weakens trust. This is where the human side of hospitality becomes irreplaceable.

As we discussed in previous articles, AI and automation should streamline operations to free employees for meaningful interactions. Empathy is a fundamental element of the guest experience. Human encounters serve a dual purpose with functional value and a safeguard against the effects of dehumanisation, reinforcing agency and recognition for customers in hospitality settings (Almokdad, Mouloudj & Lee 2025).

As hospitality professionals, we need to identify when human connection matters most—whether during check‑in, special requests, problem‑solving, or in moments increasingly mediated by automation, such as clarifying bot‑generated messages, intervening when automated pricing or booking flows confuse guests, or providing context and reassurance after AI‑driven recommendations or reviews.

Bots are here to stay. So is the dead internet. The distribution ecosystem will only grow more automated, and the content we navigate will be more synthetic. Emotional intelligence, the capacity to read a room and respond with genuine care, remains what turns a service into a relationship. As the industry continues to integrate AI, the task for hospitality professionals and educators alike is to protect what machines cannot replicate: presence, empathy and the ability to make people feel seen.

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