Want to take advantage of our special tools for AI in business and increasing productivity? Love our content and want to buy me a coffee? Visit our new Ko-Fi storefront at ko-fi.com/nextgenbusinessinsights Who I Am Welcome to NextGen Business Insights, your go-to resource for productivity, AI in the workplace, and real-world business wisdom. I’m Joanna, and after more than 20 years in marketing, business development, and digital strategy, I’ve seen firsthand how rapidly the business landscape evolves—and how easy it is for small businesses and solo entrepreneurs to get left behind. For over a decade, I ran my own marketing consultancy, helping small businesses not just survive but thrive in the fast-paced digital world. From building strong online presences to creating workflows that actually work, I’ve spent years translating big-business strategies into small-business action plans. Now, I’m stepping back from direct client work to share those hard-won lessons with you—so you ca...
Generative AI is everywhere now: writing emails, brainstorming ads, coding apps, designing graphics. It’s fast, impressive, and increasingly integrated into the everyday workflows of entrepreneurs, students, creators, and corporations. But there’s a problem we’re not talking about enough. The AI isn’t just responding to us. It’s learning from us. And that means the quality of generative AI doesn’t just depend on engineering. It depends on us. Good AI Goes Bad When We Train It Poorly While today’s GPTs don’t “learn” from prompts in the conventional sense unless trained or fine-tuned, they absolutely adapt their outputs based on usage patterns, system feedback, and supervised tuning cycles. Over time, that creates a sort of collective imprint—a feedback loop that can reinforce habits, assumptions, and biases based on what users repeatedly ask, reward, or tolerate. It’s a bit like raising a child in public view. If most people model lazy thinking, vague prompts, manipulative inp...