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When AI Measures “Friendliness”: Who Decides What Good Service Sounds Like?

When AI Measures “Friendliness”: Who Decides What Good Service Sounds Like?

5 March 2026

Paul Francis

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Artificial intelligence is moving steadily from assisting workers to assessing them.


Cashier with robotic eyes, wearing a headset in a fast-food setting. Neon colors on screens in the background create a futuristic vibe.


Burger King meal with wrapped burger, fries, and drink cup with logo on table. Bright, casual setting, with focus on branded items.

Burger King has begun piloting an AI system in parts of the United States that listens to staff interactions through headsets and analyses speech patterns. The system, reportedly known as “Patty,” is designed to help managers track operational performance and, more controversially, measure staff “friendliness.” It does this by detecting politeness cues such as whether employees say “welcome,” “please,” or “thank you.”


From a corporate perspective, the logic is clear. Fast food is built on consistency. Brand standards matter. Customer experience scores influence revenue. If AI can help managers see patterns across shifts and locations, it promises efficiency, insight and improved service quality. On paper, it sounds like innovation.


In practice, it raises deeper questions about surveillance, culture, authenticity and who gets to define what “friendly” actually means, Because friendliness is not a checkbox, It is human.


The Promise Versus the Reality

The official line from companies testing this technology is that it is a coaching tool rather than a disciplinary one. It is presented as support for staff, helping identify trends rather than scoring individuals. It is framed as data-driven improvement rather than digital oversight, but the moment speech is analysed, quantified and turned into a metric, something changes.


Service work has always required emotional intelligence. It has also required emotional labour. Employees adjust tone, language and pace depending on the situation in front of them. A lunchtime rush feels different from a quiet mid-afternoon shift. A tired commuter is different from a group of teenagers. A frustrated parent is different from a regular parent who comes in every day.


Anyone who has worked in face-to-face customer service understands this instinctively. Your tone changes, your rhythm changes, your humour changes, and that is precisely where the friction with AI begins.


Culture Cannot Be Reduced to Keywords

One of the most immediate concerns is accent and cultural bias. Speech recognition systems are not neutral; they are trained on datasets. Those datasets may not equally represent every regional accent, dialect or speech pattern.


Hungry Jack's sign above a red canopy on a city street corner. Traffic light displays red pedestrian signal with trees and buildings in the background.

In a noisy fast food environment, with headsets, background clatter and rapid speech, even minor variations can affect recognition accuracy. If an AI system relies heavily on detecting specific words, then any difficulty interpreting accents could skew the data. That is not a theoretical concern. Studies have shown that automated speech systems often perform better on standardised forms of English and less well on regional or non-native accents. If politeness metrics depend on exact phrasing, workers with stronger regional accents or different speech rhythms could appear less compliant in the data, even when their service is perfectly warm and appropriate.


Beyond pronunciation, there is the question of cultural expression. In some regions, friendliness is relaxed and informal. In others, it is brisk and efficient. In some communities, humour and banter are part of service culture. In others, restraint and professionalism are valued. AI systems do not instinctively understand these nuances. They detect patterns.

But hospitality is not a pattern. It is a relationship.


Who Sets the Definition of Friendly?

This leads to a more fundamental question. Who decides what counts as friendly?

These systems do not calibrate themselves. Someone defines the threshold. Someone selects the keywords. Someone decides how often “thank you” should be said and in what context. Those decisions are typically made at the corporate level, often by operations teams and technology partners working from brand guidelines and idealised customer journeys.


There is nothing inherently wrong with brand standards, but there is often a distance between corporate design and frontline reality.


Business meeting with people at a wooden table, one reading a marketing plan. Laptops, coffee cups, and documents on the table.

Many workplace policies are written by people who have not worked a drive-thru shift in years, if ever. They may be excellent strategists. They may understand customer data deeply. But that does not always translate into lived experience on a busy Saturday afternoon when the fryer breaks and the queue is out the door.


In those moments, efficiency may matter more than repetition of scripted politeness.

If an algorithm expects a perfectly phrased greeting under all conditions, it risks becoming disconnected from the environment it is meant to improve.


Once those expectations are embedded in software, they become harder to question. The algorithm becomes policy.


The Authenticity Problem

Having worked in face-to-face customer service myself, I know that the best interactions were rarely scripted. Regular customers would come in, and you would adjust instantly. You might joke with them. You might take the piss in a friendly way. You might shorten the greeting entirely because familiarity made it unnecessary. That rapport is built over time and trust. Would an AI system recognise that as excellent service? Or would it mark down the interaction because the expected keywords were missing?


Hospitality is dynamic. It depends on reading the room, reading the person, and reading the moment. If workers begin focusing on hitting verbal benchmarks rather than engaging naturally, the interaction risks becoming mechanical. Customers can tell the difference between genuine warmth and box-ticking politeness. Ironically, quantifying friendliness may reduce the very authenticity companies are trying to protect.


Surveillance or Support?

This is where the tone of the debate shifts. Because even if the system is introduced as a supportive tool, the psychological reality of being monitored is not neutral.

Anyone who has worked in customer-facing roles knows that service environments are already performance spaces. You are representing the brand; you are expected to maintain composure and remain polite, even when customers are not. That emotional regulation is part of the job. Now imagine adding a layer where your tone and phrasing are being analysed in real time by software.


Hand holding a cassette recorder in focus, with blurred figures in business attire seated at a table in the background.

Even if managers insist it is not punitive, the awareness that your speech is being measured changes behaviour. You begin to think not just about the customer in front of you, but about whether the system has “heard” the right words. In high-pressure environments, that is another cognitive load. Another thing to get right. Over time, that kind of monitoring can subtly alter workplace culture. It can shift service from something relational to something performative in a more rigid way. Employees may begin speaking not to connect, but to comply, and when compliance becomes the goal, service risks losing its texture.


Supportive technology tends to feel like something that works with you. Surveillance, even when softly framed, feels like something that watches you. The distinction matters, particularly in lower-wage sectors where workers have limited influence over policy decisions.


The Broader Direction of Travel

What makes this story significant is that it does not exist in isolation. It is part of a wider pattern in which AI is moving steadily from automating tasks to evaluating behaviour.

First, algorithms helped optimise stock levels and predict demand. Then they began assisting with scheduling and logistics. Now they are increasingly assessing how people speak, how they respond and how closely they align with brand standards. Each step may seem incremental. Taken together, they represent a fundamental shift in how work is structured and supervised.


Historically, managers evaluated service quality through observation, feedback and experience. There was room for interpretation, for context, for understanding that a difficult shift or a complex interaction could influence tone. Human judgment allowed for nuance.

When evaluation becomes data-driven, nuance can be harder to capture. Metrics tend to favour what is measurable. Words are measurable. Frequency is measurable. Context is far less so. The risk is not that AI becomes tyrannical overnight. The risk is that over time, it narrows the definition of good service to what can be quantified. And what can be quantified is rarely the full story.


A Question Worth Asking

Technology reflects priorities. If a company invests in systems that measure friendliness, it is signalling that friendliness can be standardised, monitored and optimised like any other operational metric, but service is not assembly. It is interaction.


It is shaped by region, by culture, by individual personality and by the particular chemistry between staff and customer in that moment. It shifts depending on who walks through the door. It changes across communities and demographics. It even evolves over the course of a day. When AI systems define behavioural benchmarks, someone has decided what the ideal interaction sounds like. That definition may come from brand research, from head office strategy sessions or from consultants analysing survey data. It may be carefully considered. It may be well-intentioned, but it is still a definition created at a distance from the frontline.


Many workplace standards across industries are designed by people who have not stood behind a till in years. That does not invalidate their expertise, but it does introduce a gap between theory and practice. When those standards are encoded into algorithms, that gap can become structural. The core issue is not whether AI can improve service. It is whether those deploying it are prepared to listen as carefully to staff experience as the system listens to staff voices. If friendliness becomes a metric, then it is fair to ask who sets the parameters, how flexible they are, and whether they reflect the messy, human reality of service work.


Because once the headset becomes the evaluator, the definition of “good” may no longer be negotiated on the shop floor and that is a shift worth paying attention to.

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Royal Rumble 2026 in Saudi Arabia? Enter the Latest Act of Sportswashing

  • Writer: Connor Banks
    Connor Banks
  • Jan 9, 2025
  • 4 min read

The pyro, the pageantry, the promise of smash-mouth, over-the-top-rope theatrics: WWE’s Royal Rumble has always been one of the most electrifying events on the sports entertainment calendar. So imagine the splashy headlines when, just a few days ago, WWE announced that the 2026 edition of the Royal Rumble, one of its “Big Four” pay-per-views, would be held in Riyadh, Saudi Arabia. But beneath the neon lights and suplexes, there’s a far grimmer reality playing out: the continuing story of Saudi Arabia’s sportswashing and entertainment washing, a glittery veneer concealing a litany of human rights abuses.


AI-Generated Pro Wrestling Ring

If there’s one thing the Saudi monarchy excels at, beyond controlling vast oil reserves, it’s leveraging big-name events to sanitise its international reputation. Wrestling fans might remember the “Greatest Royal Rumble” in 2018 or subsequent WWE Premium Live Events in Saudi. Now, with the Royal Rumble returning in 2026, it’s safe to say that Saudi Arabia’s partnership with American sports entertainment has only deepened. This alliance sells itself as economic diversification, excitement for the local populace, and progress under the ambitious “Vision 2030.” But scratch the glossy surface, and you’ll find a government still struggling to shake off accusations of silencing dissent, oppressing women’s rights activists, and waging a brutal war in Yemen.


Sportswashing 101

The concept of “sportswashing” isn’t new, but Saudi Arabia has taken it to extremes. When the country’s Public Investment Fund (PIF) acquired a major stake in Newcastle United, the ripples shook the Premier League. Soon enough, the golf world felt that same tremor with the creation of LIV Golf, luring top talent away from established tours. Elsewhere, the Kingdom has hosted marquee boxing matches, eagerly broadcast across the globe, while continuing to dodge questions on Jamal Khashoggi’s murder and the crackdown on dissent at home.


Now, with the Royal Rumble 2026, critics warn it’s another meticulously staged PR campaign. Glitzy fireworks, chants echoing through a modern stadium, millions tuning in worldwide, this is prime-time propaganda masquerading as weekend escapism. There’s no question that Saudi rulers want us to be dazzled by the spectacle, not the controversies.


A Red-Carpet Distraction

Music Concert

But it isn’t just the turnbuckles and body slams: welcome to the era of “entertainment washing.” Over the past few years, the Kingdom has hosted major music festivals, headlined by global superstars who dazzle adoring fans in Riyadh and Jeddah. Meanwhile, the Red Sea International Film Festival aims to transform Saudi Arabia into a shiny cultural hub. The promise: visitors can experience state-of-the-art venues and avant-garde cinema, never mind the activists jailed for questioning the regime, or the women who struggled for the mere right to drive a car. These diversions are meticulously choreographed to impart a liberal sheen to a strictly controlled society.


Vision 2030, or Cover-Up 101?

At the centre of Saudi Arabia’s headline-grabbing events sits Vision 2030, Crown Prince Mohammed bin Salman’s master plan to modernise the economy and wean the nation off oil dependence. Publicly, it’s sold as a blueprint for transformation, a path to more “openness,” “innovation,” and “youth empowerment.” To a certain extent, some reforms have taken shape, tourism is up, cultural events are on the rise, and there have been a few symbolic gestures towards women’s rights.


Yet many remain unconvinced. Human rights groups, including Amnesty International and Human Rights Watch, highlight ongoing repression, including the continued imprisonment of activists and political critics. The crown prince’s singular grip on power, a far cry from the democratic reforms many had hoped for, remains intact. So while stadiums fill up with raucous applause, the underlying question persists: who truly benefits?


WWE, Fans, and the Ethics Question

What about WWE itself? A billion-dollar sports entertainment juggernaut, the organisation has never shied away from corporate deals, even when they come with a whiff of controversy. It’s not surprising that the allure of massive financial guarantees makes the ring shine brighter in the desert. But the moral dance here is delicate. WWE has come under fire from politicians, journalists, and fans for effectively endorsing Saudi Arabia’s attempts to rebrand. Executives often respond with polite references to “cultural exchange” and “entertainment for all,” careful to avoid the deeper controversies swirling around them.


Many wrestling fans feel a knot in their stomach: they love the product, whether it’s the over-the-top theatrics or the beloved superstars, but are uneasy about a regime that restricts basic freedoms. Social media buzz is rife with calls for boycotts, though others point to the futility of such actions. After all, the shows go on, the tickets sell out, and the global feed continues to beam bright images of fireworks and smiling faces.


A Spectacle Worthy of Scrutiny

Saudi Arabia’s strategy, pouring eye-watering sums of money into sports and entertainment, works all too well to rewrite the narrative. Even for fans critical of the Kingdom’s record, the spectacle can be mesmerising. The danger here is that the “sport-for-all” rhetoric drowns out rightful criticism and undermines campaigns for real accountability. And lest we forget: behind every multi-million-dollar fight purse or star-studded concert lineup, there are Yemeni civilians trapped in a devastating war, Saudi women who still fight for true equality, and a press so censored that a single tweet can land someone in prison.


That’s not to diminish the real desire among many Saudis, especially younger Saudis, for modernisation and entertainment. In a country where cultural freedoms were historically stifled, hosting events like the Royal Rumble is a genuine thrill. But if the monarchy aims to project itself as progressive, then it must accept the scrutiny that comes with that label.


The Unfinished Narrative

Royal Rumble 2026 may serve us drama, heartbreak, and a triumphant underdog story, all set against the glitzy Riyadh skyline. But outside the wrestling bubble, serious questions remain. Will fans and the wider public finally connect the dots and realise they’re witnessing a masterclass in sports and entertainment washing?


If Saudi Arabia’s rulers think they can clothe an authoritarian reality in the robes of cultural grandeur, then this is the time for global observers and fans alike to keep asking uncomfortable questions.

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