A single change in question can redirect a career. For Joel Yi, the founder of DeployAIBots, the turning point came when he stopped asking how to hire more people and started asking how to reduce a company’s dependence on people for repetitive work. That shift, simple as it sounds, became the foundation for much of what he has built in artificial intelligence.
Joel Yi has described the change in his own thinking with clarity. Early in his exposure to AI, he realized that one person equipped with the right systems could produce the output of a much larger team. That realization altered the questions he found worth asking.
The traditional path of business growth, where more work means more hires, suddenly looked like only one option among several. Instead of defaulting to hiring, Joel Yi began to wonder how much of a company’s repetitive work could be handled by systems rather than staff.
The new question pointed him toward entrepreneurship. Joel Yi has said he cared more about building systems that scale than about building teams that need constant management. That preference is more than a personality trait. It reflects a considered view that systems, once built well, can handle predictable work reliably and more cost-effectively than continually expanding a workforce to keep up.
DeployAIBots grew directly out of this conviction.
The company builds agentic AI and automation designed to execute operational work rather than simply assist with it. From its Miami headquarters, DeployAIBots installs systems designed to take over repetitive tasks such as scheduling, customer communication, and internal coordination.
These are the kinds of activities that, under the old model, might have driven a company to hire more people as it grew. Joel Yi’s question, how to automate rather than how to hire, finds its answer in these systems.
He is careful to explain what the shift does not mean. Asking how to automate is not the same as asking how to eliminate people from a business. Joel Yi frames it as a way to free people from the repetitive, lower-value tasks that consume their time without making full use of their skills.
The work that genuinely requires human judgment and creativity remains in human hands. What changes is the routine layer of the operation, the predictable tasks that systems can handle more consistently. The goal is to let people focus on what they do best rather than drowning in busywork that scales faster than they can manage.
The reframing also changes the economics of growth. Hiring can be expensive, slow, and difficult to reverse. Each new role adds ongoing cost and commits a company to a fixed expense that may not match future demand. Automation offers a different profile, allowing a business to expand capacity without locking in the same long-term costs.
Joel Yi argues that companies willing to ask how to automate may gain flexibility that companies wedded to hiring do not have.
His background made him receptive to this way of thinking. As one of the first cyber officers in the United States Army cyber branch, Joel Yi learned to rely on well-designed systems to handle demanding work under pressure. That experience reinforced his trust in systems as a foundation.
Combined with his early machine learning work, including a 2018 model that identified rare plant species, it gave him both the confidence and technical grounding to pursue automation seriously.
Joel Yi acknowledges that his question runs against deep habits. For much of business history, growth and hiring have been closely linked, and many companies still treat adding staff as the natural response to rising demand.
Asking how to automate instead requires a shift in mindset that not every organization is ready to make. But Joel Yi believes the companies that embrace the new question may hold an advantage, able to grow more efficiently than those still defaulting to the old one.
The proof, for Joel Yi, is in his own company. DeployAIBots reports reclaiming more than 150 hours of work each week by running its own technology internally, capacity it gained without hiring.
That figure is the practical result of the question he started asking years ago. For Joel Yi, the lesson is that the path a company takes often depends on the questions it is willing to ask, and that in an age of artificial intelligence, asking how to automate may matter more than asking how to hire.
