Balancing AI Innovation and Timeless Tools in a Rapidly Changing Industry

I’ve been working hard to continually improve my AI skills, integrating them into my daily workflow. To be honest, I’m a self-taught videographer. 🎥 When I first started my company, I believed that daily practice with the tools you use is essential—not just to ensure you know what you’re doing, but also to deliver the quality service you promise your clients. 💡

Over the years, I’ve been hired by various companies, and during shared screen sessions, their editors have observed me at work. 💻 Many of them have commented that they’d never let anyone watch them edit. I’ve always found that intriguing and wondered why. Personally, I’ve never had an issue being transparent about my process. 🔧

When it comes to AI, 🤖 I firmly believe it won’t replace human interaction—it has limitations. But as I’ve said countless times, AI must be another tool in the toolbox. Staying relevant in the industry requires adapting to client demands, many of which now include AI-based services. My daily workflow incorporates many tools and techniques, some predating AI. However, AI has quickly become one of my top workflow preferences, as it just makes everything easier.

That brings me to a larger question: When is it too much?
Technology changes so rapidly that what you learn today can feel outdated tomorrow. I know I’m being a bit dramatic, but you get the idea. Is it worth keeping up with every technological advancement, or should we wait and adopt new tools only when necessary? 📹

Take cameras, for example. The Canon 7D 📷 was my first camera, and while it’s not my go-to anymore, I still enjoy using it. There’s something about the images it produces that I think are better. Maybe it’s nostalgia, or maybe it’s just the simplicity that reminds me of why I got into this field in the first place. 🎥

So, what’s your take? Should we chase every new tech trend, or is there understanding in focusing on the tools we know and trust until change becomes unavoidable?