In the wake of natural disasters or political crises, companies need to quickly locate and contact employees across multiple countries. One company, with staff in over 100 countries, previously spent $60,000 annually on a third-party tool to manage this. However, the tool had limitations. A member of the HR team, not an engineer, used an AI-powered coding assistant called Claude Code to build a replacement in just three hours and 17 minutes, at a cost of $216. This tool was connected to the company’s HR data and performed the required functions. The employee identified the problem herself and used available tools to solve it without being assigned the task. This is not an isolated case. In the past year, the HR and finance teams have handled a much higher volume of complex tasks with the same number of employees. This shift is due to a change in how teams operate. Employees are no longer waiting for engineers or developers to create the tools they need. Instead, they are building their own solutions. The role of a “developer” used to be a specific job title, but AI has changed that dynamic. Now, anyone who understands a problem can attempt to solve it using AI tools. Engineers remain valuable, but they are no longer the only ones who can create solutions. According to the Deloitte "State of AI 2026" report, employee access to AI tools increased by 50% in 2025. Traditional organizational structures in tech, where different teams handled product design, development, and implementation, are evolving. The company has created an internal platform where employees can build and deploy tools using approved AI technologies. A localization specialist created a tool to manage content in 24 languages, while a product manager developed a system to check feature requests against the company’s roadmap. Even the CEO and Chief People Officer, along with teams in finance, sales, marketing, and legal, have used AI to build tools. This trend is not a one-time project but a widespread shift in how employees approach problem-solving. This change is influencing how new companies are formed. With AI tools, it’s now easier to turn an idea into a functional product with far less assistance than before. Starting a business is becoming more realistic for individuals with a clear vision and the right tools. The cost of entrepreneurship has dropped significantly, making it easier for people to launch ventures. While a strong technical team is still essential as a company grows, the initial barrier to starting a business is now much lower. The percentage of startups launched by a single founder has risen from 23.7% in 2019 to 36.3% by mid-2025, closely matching the rise in AI tool adoption. More people are working as freelancers, launching multiple projects, and creating diverse income streams. As a result, companies are forming in new, more flexible ways, hiring the most skilled individuals regardless of location. For a long time, the challenge was not just having an idea but knowing how to bring it to life. Without the right skills or resources, many good ideas never got off the ground. Today, that barrier is much lower. What remains difficult is deciding what is truly worth creating. Judgment, taste, and the willingness to take responsibility for a project’s success or failure are crucial and cannot be automated. While the traditional career path of joining a company and working up remains important, there is now an alternative: identifying a real problem and building a solution. This new path is more accessible than ever, opening up opportunities for more people in more places.