Because running a café takes more than just a good roast
Updated
March 18, 2026 6:29 PM
A cup of espresso being brewed. PHOTO: UNSPLASH
Coffee has grown beyond being just a drink—it’s part of culture, connection and even a daily productivity hack. Think about it: friends catch up over cappuccinos, professionals start the day with a quick espresso and students practically live on iced lattes during exams. It’s woven into routines, with two-thirds of American adults consuming coffee on a daily basis and averaging around three cups per day. That is much higher than other beverages like tea, juice and bottled water. It is therefore no surprise that the global coffee shop industry is projected to reach about US$123.43 billion by 2030. For entrepreneurs, that makes coffee shops more than cozy corners with good aesthetics. They’re a real business opportunity. But before you open a coffee shop, here are five things you should know.
Like any small business, the success of your coffee shop often hinges on where it is. Coffee may have broad appeal, but daytime foot traffic and visibility can still make the difference between a busy café and one that struggles to stay afloat. Opening near universities, office parks, co-working hubs or residential neighbourhoods with young professionals can instantly give you a strong stream of potential customers.
That said, choosing a coffee shop location is not just about picking a busy area. You also need to know your target market. For example, opening a third-wave specialty coffee shop in a low-income neighbourhood may not work if your prices are beyond what local residents want to pay. The same café might perform much better in a more affluent or fast-changing district.
Competition matters a lot in the equation too. Walk around the area and see what other coffee shops are doing. The goal is not always to avoid competition but to find a gap in the market. If nearby cafés focus on quick grab-and-go drinks, there may be room for a slower, more community-driven coffee shop built around hand-poured brews and a relaxed atmosphere. Simply put, your shop’s exact street address could make or break your business.
It’s important to understand this early on: running a coffee shop is not just about serving coffee. Customers today have endless options, from making coffee at home to buying from major chains like Starbucks. What brings them through your doors is often the overall experience.
According to a report by Salesforce, 91% of customers say they’re more likely to make another purchase after a great service experience. That means your café needs to give people a reason to stay, come back and recommend it to others. Maybe it is the interior design, the playlist that feels just right, the reliable Wi-Fi, the convenient charging points or simply the way the space feels. Remember, good coffee gets people in once, but a strong customer experience gives them a reason to return.
Opening a modest-sized sit-down café in the U.S. can cost anywhere between US$100,000 and US$350,000. The final number depends on your location, your coffee shop concept, your equipment and how much you spend on the fit-out and interior design. Beyond those startup costs, your monthly expenses—like rent, utilities, staff salaries and coffee bean purchases—will play a huge role in whether your business survives the first year.
Profit margins in coffee retail are thinner than new owners expect. On average, small to medium-sized coffee shops make a 3-10% profit margin, which means efficiency is key. Selling higher-margin items like snacks, light bites and pastries can help lift revenue. A US$2 slice of banana bread, for example, may cost cents to make but can still raise the average spend per customer.
You also need to factor in seasonality when planning your coffee shop revenue. For instance, in warmer months, there is usually higher demand for iced and cold beverages. Many cafés respond by introducing cold brew, iced teas, smoothies or limited seasonal drinks to their menus. That helps keep sales steady and protects the average ticket size throughout the year. At the end of the day, running a café is just as much about managing the numbers as it is about serving great coffee.
A barista isn’t just someone pulling espresso shots; they’re often the face of your coffee shop. A warm smile, remembering a regular’s order or sharing a fun fact about the beans can create the kind of connection that keeps customers coming back.
As specialty coffee culture boomed in the early 2010s, baristas became more than brewers—they are now guides and storytellers. By talking about coffee origin, processing methods, bean varieties and roast profiles, they help customers understand what they are buying and why it matters. That mix of knowledge and personality can have a real impact on customer loyalty.
That’s why hiring and retaining great baristas is one of the smartest investments a café owner can make. Beyond competitive pay, creating a workplace where people feel valued also matters. Training, room for creativity and a sense of pride in the craft can go a long way in helping staff stay engaged.
Opening a coffee shop is exciting, but opening the doors and hoping people walk in is not enough. Good coffee shop marketing today is less about spending big and more about telling a story people want to follow. Well before you launch, start building hype and share behind-the-scenes snippets on Instagram, whether that is taste-tests, design decisions or even the messy parts of setting up the space. That kind of content feels real and helps build anticipation.
Once your café is open, think beyond basic promotion. Loyalty programs, collaborations with local businesses or even hosting events like poetry nights, art exhibits or coffee cupping sessions can all help bring people in. Social media is useful here too; it is not only a place to post latte art but also where you show what your brand stands for. Do you focus on sustainability? Do you source coffee ethically? Do you support local artists? Those details humanize your brand and make your café more than just a pitstop for caffeine.
Overall, opening a coffee shop blends passion, community and entrepreneurship. It also requires clear thinking and strong business decisions. From choosing the right location and creating a memorable customer experience to managing costs and building a great team, success takes more than just brewing good coffee. If you treat your coffee shop as both a craft and a business, you give it a much better chance of becoming a local favourite.
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How Korea is trying to take control of its AI future.
Updated
January 13, 2026 10:56 AM
SK Telecom Headquarters in Seoul, South Korea. PHOTO: ADOBE STOCK
SK Telecom, South Korea’s largest mobile operator, has unveiled A.X K1, a hyperscale artificial intelligence model with 519 billion parameters. The model sits at the center of a government-backed effort to build advanced AI systems and domestic AI infrastructure within Korea. This comes at a time when companies in the United States and China largely dominate the development of the most powerful large language models.
Rather than framing A.X K1 as just another large language model, SK Telecom is positioning it as part of a broader push to build sovereign AI capacity from the ground up. The model is being developed as part of the Korean government’s Sovereign AI Foundation Model project, which aims to ensure that core AI systems are built, trained and operated within the country. In simple terms, the initiative focuses on reducing reliance on foreign AI platforms and cloud-based AI infrastructure, while giving Korea more control over how artificial intelligence is developed and deployed at scale.
One of the gaps this approach is trying to address is how AI knowledge flows across a national ecosystem. Today, the most powerful AI foundation models are often closed, expensive and concentrated within a small number of global technology companies. A.X K1 is designed to function as a “teacher model,” meaning it can transfer its capabilities to smaller, more specialized AI systems. This allows developers, enterprises and public institutions to build tailored AI tools without starting from scratch or depending entirely on overseas AI providers.
That distinction matters because most real-world applications of artificial intelligence do not require massive models operating independently. They require focused, reliable AI systems designed for specific use cases such as customer service, enterprise search, manufacturing automation or mobility. By anchoring those systems to a large, domestically developed foundation model, SK Telecom and its partners are aiming to create a more resilient and self-sustaining AI ecosystem.
The effort also reflects a shift in how AI is being positioned for everyday use. SK Telecom plans to connect A.X K1 to services that already reach millions of users, including its AI assistant platform A., which operates across phone calls, messaging, web services and mobile applications. The broader goal is to make advanced AI feel less like a distant research asset and more like an embedded digital infrastructure that supports daily interactions.
This approach extends beyond consumer-facing services. Members of the SKT consortium are testing how the hyperscale AI model can support industrial and enterprise applications, including manufacturing systems, game development, robotics and autonomous technologies. The underlying logic is that national competitiveness in artificial intelligence now depends not only on model performance, but on whether those models can be deployed, adapted and validated in real-world environments.
There is also a hardware dimension to the project. Operating an AI model at the 500-billion-parameter scale places heavy demands on computing infrastructure, particularly memory performance and communication between processors. A.X K1 is being used to test and validate Korea’s semiconductor and AI chip capabilities under real workloads, linking large-scale AI software development directly to domestic semiconductor innovation.
The initiative brings together technology companies, universities and research institutions, including Krafton, KAIST and Seoul National University. Each contributes specialized expertise ranging from data validation and multimodal AI research to system scalability. More than 20 institutions have already expressed interest in testing and deploying the model, reinforcing the idea that A.X K1 is being treated as shared national AI infrastructure rather than a closed commercial product.
Looking ahead, SK Telecom plans to release A.X K1 as open-source AI software, alongside APIs and portions of the training data. If fully implemented, the move could lower barriers for developers, startups and researchers across Korea’s AI ecosystem, enabling them to build on top of a large-scale foundation model without incurring the cost and complexity of developing one independently.