Two renowned financial experts: opposing views on debt

The debate over the use of debt in business divides two of the world's most respected financial minds. While one defends leverage as a tool to accelerate business growth, the other warns about the risks of financing optimistic expectations rather than predictable cash flows. This tension is not theoretical: every year, hundreds of companies fail because they cannot distinguish between an ambitious projection and real income. The key lies in understanding that debt is neither good nor bad in itself, but rather depends on the strength of the business model and the ability to generate consistent cash. To make informed decisions, entrepreneurs need reliable data and systems that allow them to simulate scenarios, assess risks, and monitor metrics in real time. This is where technology becomes a strategic ally: for example, through custom applications that integrate financial, operational, and market data into a single platform, organizations can leave static spreadsheets behind and adopt a dynamic approach. Additionally, business intelligence with Power BI makes it possible to visualize hidden patterns and anticipate deviations before they become liquidity problems. At Q2BSTUDIO, we develop custom software that combines artificial intelligence, AWS and Azure cloud services, and cybersecurity to create robust solutions. Our AI agents analyze large volumes of information, while automations reduce human errors and free up time for strategy. Well-managed debt can be an engine, but only when supported by systems that provide transparency, predictability, and control. Thus, the opposing opinions of the experts are reconciled in practice: each company must choose its level of leverage according to its real capacity to generate cash, backed by technology that turns data into solid decisions.