Adapting to new technology is rarely easy. Whether it’s the introduction of computer-aided drafting (CAD) decades ago or artificial intelligence (AI) today, the learning curve can feel overwhelming at first. But as the saying goes, “Every expert was once a beginner.”
The Challenge of Learning CAD
When CAD was introduced, it revolutionized the drafting industry. Traditional methods involving pencils, paper, and drafting tables gave way to computer screens, keyboards, and complex software. For many, it was a daunting shift.
Some drafters thrived, quickly mastering the new tools, while others struggled to adapt. A common sentiment was, “I just can’t get it.” This frustration often came from the complexity of the software, which required a new set of skills, including a deeper understanding of geometry and computer functions.
Yet, those who persisted—sometimes through trial and error or with the help of more experienced colleagues—eventually gained enough proficiency to use CAD effectively. What started as an intimidating new tool became an industry standard, indispensable to the work of architects, engineers, and designers.
AI: Today’s CAD Moment
Fast forward to today, and we find ourselves at a similar crossroads with AI. Like CAD, AI has the potential to transform industries. From automating routine tasks to providing unprecedented insights, AI tools are already reshaping the way we work.
But just as with CAD, the initial exposure to AI can be overwhelming. Complex algorithms, unfamiliar interfaces, and even the language surrounding AI can make it feel out of reach for newcomers. Many people approach AI with the same trepidation that drafters once had about CAD, thinking, “I just can’t get it.”
How AI is Different—and Easier to Learn
One critical difference between AI and early CAD tools is the support AI can provide. Unlike CAD, which required extensive training and a good grasp of technical knowledge, modern AI tools are designed to assist users as they learn.
For instance, many AI programs allow users to ask questions or receive guidance in real time. These tools are often intuitive, enabling people to complete complex tasks without needing to understand every technical detail. While some aspects of AI—like programming or data science—can still require specialized knowledge, many everyday applications are accessible with just a basic understanding.
Lessons from the Past
The journey from CAD to AI shows us that adapting to new technologies is less about innate ability and more about persistence. Here are a few takeaways:
- Embrace the Learning Curve
It’s normal to feel confused or frustrated when starting with something new. Rather than giving up, break the process into smaller steps and celebrate incremental progress. - Ask for Help
Whether it’s a colleague, an online community, or the AI itself, seek assistance when you’re stuck. Most tools today come with built-in support, tutorials, or communities eager to help newcomers. - Recognize the Benefits
Just as CAD became an essential skill for drafters, AI is likely to become a necessary tool in many industries. The effort invested now can lead to greater efficiency, better problem-solving, and more opportunities in the future. - Be Patient with Yourself
Remember that no one becomes an expert overnight. The people who seem to “get it” effortlessly often struggled just as much in the beginning.
The Future of AI
We’re at the forefront of a major technological shift, much like when CAD first arrived. While the transition may feel overwhelming, those who persist in learning AI will find themselves better equipped for the future. And unlike CAD, AI is a tool that learns alongside you, helping you grow even as you adapt to it.
The next time you feel like saying, “I just can’t get it,” take a step back and remember: You don’t have to master everything all at once. Progress, not perfection, is the goal. And with AI, you have a partner that’s ready to help you every step of the way.