AI vs traditional software: key differences

{"title": "AI vs Traditional Software: Key Differences for Founders and Teams", "excerpt": "Discover the key differences between AI and traditional software to make informed decisions about your business's tech stack in 2026.", "html": "<h1>AI vs Traditional Software: Key Differences for Founders and Teams</h1> <p>As a founder or operator, choosing the right software for your business can be a daunting task. With the rise of AI, the lines between traditional software and AI-powered tools are becoming increasingly blurred. In this article, we'll explore the key differences between AI and traditional software to help you make informed decisions about your business's tech stack in 2026.</p> <h2>1. Intelligence and Autonomy</h2> <p>Traditional software is typically designed to perform specific tasks, whereas AI-powered software can learn, adapt, and make decisions on its own. This means that AI can automate complex tasks, improve efficiency, and even provide insights that humans may miss.</p> <h2>2. Data Requirements</h2> <p>AI-powered software often requires large amounts of data to train and improve its performance. This can be a challenge for businesses with limited data or those that struggle to collect and manage data effectively