Beyond the
cost squeeze.

Lambert describes a proximity bias informed by his experience around restaurants and nightclubs. An operator naturally gravitates towards people they recognise. Those conversations can become the basis for a picture of the whole clientele, even though they represent only part of the room.

His point is not that regulars matter less. It is that recognition and measurement answer different questions. Knowing someone's usual order tells an owner about that person; it does not establish how many other customers are new, what brought them in, or whether they will return.

For a venue, the practical question becomes more precise: what would the business learn if it looked beyond the customers already comfortable enough to start a conversation? Lambert sees a role for better information in challenging an owner's instincts, rather than simply confirming them.

The same problem appears on a menu. Lambert argues that food-cost percentages should not be considered in isolation from the dollars a dish contributes towards running the business.

He gives a simplified comparison: a $10 item with $2 in ingredient costs leaves $8, while a $50 item with $25 in ingredient costs leaves $25. The second has a higher ingredient-cost percentage, but also leaves more dollars before the other costs of serving it are considered.

This is not a complete profit calculation. Wages, rent, preparation time, waste and other costs still matter. Nor is it a prescription to make every dish expensive. The useful distinction is between a ratio that looks reassuring and the cash available to meet the business's remaining costs.

Lambert's wider argument is that operators need to understand their menu as a working business tool. A familiar percentage can be a starting point for questions, not the final verdict on a dish.

When the conversation turns to prices, Lambert challenges another assumption: that customers will necessarily stop coming if a venue makes a reasonable increase. He believes operators can sometimes anticipate rejection before testing what their customers actually value.

That is his assessment, not proof that every business can increase prices without consequences. Affordability, location, competition and the experience on offer will differ. But it raises a useful reporting question: is a pricing decision based on observed customer behaviour, or on an owner's fear of what might happen?

Consider a hypothetical cafe, not a venue from Lambert's interview. Ingredient costs rise, but its owner holds a $20 dish because they assume regulars would reject $21. Orders, repeat visits and feedback after a clearly communicated change could test that assumption. A higher price might still lose customers; fear alone does not establish that it will.

The same tension between an immediate problem and a longer view runs through Lambert's discussion of people. Filling the next shift is not the same as building a career someone would choose. He describes parents, peers and school principals as influences on whether a young person sees hospitality as a serious career.

In his view, the industry needs to rebuild the standing of vocational pathways in cookery, kitchen operations and hospitality management. His criticism is directed at a culture that can treat these qualifications as secondary, while still expecting skilled people to be ready when a business needs them.

The distinction matters. Recruitment asks who is available now. A career pathway asks why someone would choose the work, what they can learn, and where that learning can take them. Lambert's argument is that the second conversation cannot be left out of the first.

Lambert is interested in what artificial intelligence could do behind the scenes. He discusses the prospect of operational information helping owners recognise patterns and question their own assumptions. That interest has a commercial context: his own biography identifies him as the founder of HospoAI.

The product's website describes a venue-operations dashboard and AI recommendations. Brisbane Food Guide has not tested it, and those descriptions are product claims, not independently established results. Lambert's broader argument about information can be considered separately from whether any particular tool delivers it.

At Adelaide Airport, Lambert encountered an automated coffee box. What he would miss was the morning exchange with a barista: asking about their day, their weekend or their kids. If all he wanted was a machine-made coffee, he reasons, he could have that at home. For him, the conversation is part of what makes the coffee enjoyable.

Efficiency, in that account, should create more room for service and training. Looking towards 2030, he expects technology to change back-of-house work, but still places food quality and service at the centre of a venue's offer. His view of the future is not a dining room without people. It is a business using its time better so people can do the work guests remember.