Every major technological revolution begins with tools. Their lasting impact comes when these tools become infrastructure. Amazon hasn’t just made shopping easier. It reshaped the infrastructure of trade. Google hasn’t just improved search. It has become the infrastructure for organizing information. Artificial intelligence has begun a similar transformation. The most important question is no longer what AI can generate, but rather what AI can achieve for industries that have never had access to real intelligence at scale.
There are few industries that will benefit more than restaurants. Although the hospitality experience is inherently human, the business that supports it is still managed through disconnected tools and service providers. Restaurants are among America’s largest employers and top small businesses. They are also extraordinarily complex operations, balancing thin margins, high labor costs, volatile demand, and highly perishable inventory. At the same time, they serve as community infrastructure: rooms where cities shape culture, families celebrate, bands gather, first dates become stories, and strangers become regulars. However, the entrepreneurs behind these rooms are still working with a patchwork of systems that were never designed around how restaurants actually operate.
For decades, operators have been asked to solve three critical problems separately. Banks provided capital. Marketing companies tried to bring in guests. Software vendors sold tools to manage reservations, payroll, or inventory. Each one solves a single problem, leaving the restaurant owner to piece together an operating system while also managing labor, food costs, service, rent, inventory, and hundreds of decisions every day.
This fragmentation is the real problem. Restaurants don’t simply need more software or more capital. They need better infrastructure to grow.
The order in the restaurant is perishable. An empty table on Tuesday night cannot be sold on Wednesday. Unlike many businesses, restaurants cannot refund yesterday’s unsold inventory. Each empty seat represents revenue that disappears once the service ends. The dining room may need more guests at 5 p.m., but none at 7:30 p.m. The restaurant can be packed on weekends and still suffer because the wrong parts of the day remain quiet. Traditional marketing is often expensive before it leads to results, difficult to measure and disconnected from the broader financial needs of the restaurant. AI can begin to connect those decisions, turning discrete data into a single picture of demand, customer behavior, and financial performance.
Imagine an independent operator knowing which guests are most likely to return, which regulars may drift away, when demand is likely to decline, and which parts of town are starting to discover the restaurant. Imagine having the power to act on that information without employing separate teams for analytics, finance, customer acquisition, and forecasting. This is important because the competitive gap in the industry has often been an information gap rather than a talent gap.
The largest restaurant companies have had versions of these capabilities for years. Independent operators usually have one owner trying to do it all. Artificial intelligence can narrow this gap. But this will only work if we are clear about what AI should and should not do.
AI should not replace hospitality. Hospitality is deeply human. A great restaurant is built on judgment, generosity, taste, memory, and the ability to make another person feel seen. No model can reproduce the feeling of a chef entering the dining room, a server remembering a guest’s name, or the team turning an ordinary Tuesday into a night someone will remember for years. The best use of AI is not to remove these people. It is the removal of work that prevents them from doing what only they can do.
This means helping operators make better decisions about demand, staffing, marketing, purchasing and capital. It means giving the neighborhood restaurant access to capabilities previously reserved for larger corporations. This means building systems around the economics of hospitality rather than forcing restaurants to adapt to generic programs designed for other industries.
We are already seeing signs that this shift is being taken seriously. Earlier this summer, Liberty Mutual Investments committed $320 million to support InKind’s continued growth. The importance extends beyond a single funding announcement or a single company. The problem is that sophisticated organizations increasingly realize that the restaurant industry has long been suffering from a lack of structure. As more capital flows toward platforms that connect finance, customer acquisition, and operational intelligence, restaurants could become stronger companies that begin to resemble other industries that have undergone digital transformation.
This is our opportunity: not to turn restaurants into technology companies, but to give restaurant entrepreneurs technology that works for them. The distinction is important. Restaurants are not inventory to be optimized, advertising targeted or transactions to be mined. They are living companies built by people who take enormous risks to create places where their communities can come together. Any AI system worthy of hospitality should work to enhance this relationship, not commodify it.
inKind was created by restaurant operators to give great restaurants a better way to grow. Building technology combined with restaurant operators has taught us one simple thing: the restaurant must remain the center of the system. Technology should help bring the right guests into the room at the right time, help operators understand their business more clearly and give them greater ability to focus on the experience itself.
If AI succeeds in restaurants, the result won’t just be better margins. Chefs will build longer careers. Servers and bartenders will earn more. Managers will create more opportunities for their teams. Suppliers will gain stronger customers. Neighborhoods will retain the gathering places that give them identity. This is a better standard to measure the age of artificial intelligence.
The success of AI in restaurants should not be measured by the number of jobs it automates, but by the number of entrepreneurs it empowers, the number of small businesses it helps become more agile, and the amount of human labor it enables. For restaurants, the future of AI is not automation per se. It is a better infrastructure for hospitality service. This is a future worth building.
