I'm currently working on a school project where I need to gather insights from people across different careers about their feelings towards learning AI. I'm especially interested in hearing from individuals in their 20s to 60s about how they see AI fitting into their jobs. There's a lot of talk about AI in the media, but I'm curious about the real-world experiences and preferences for learning AI—whether it be for practical use in marketing, accounting, or any other area. Ultimately, my goal is to develop a course that teaches AI skills in a fun and engaging way, rather than through traditional methods. To get started, I need to understand if professionals are interested in learning AI at all and what approaches would make that learning process easier or more enjoyable. If you have experience in the workforce, I'd love to hear your thoughts on a few questions: Do you want to learn AI for your job? What would make learning it more enjoyable? Or do you feel indifferent towards AI? Your honest thoughts would be greatly appreciated!
6 Answers
As a software engineering team lead, I've found AI to be a game changer, boosting productivity significantly when used correctly. For instance, if integrated into a ticketing system, it can really streamline tasks. But I do worry about how it might impact entry-level jobs in the long run.
Honestly, AI feels like it's stealing the spotlight. My skills are based on problem solving and design, so I think relying too much on AI could downgrade the skillset of many professionals. I view it as more of a low-skill option.
I often use AI to help with scripting, but I'm frustrated when it generates commands that don’t exist or aren't even correct. It’s more of a hassle to clean up its outputs than to start from scratch sometimes.
It's important to clarify what you mean by learning AI. Different roles might engage with AI in diverse ways, like a marketer using it for analytics versus an IT person configuring it for their systems. Also, are you focusing on just using existing tools or diving into actually creating AI models? Understanding this will help frame your project better.
I totally get what you're saying! I'm trying to identify common issues and possible solutions regarding how we interact with AI. I started broad, but it seems I need to narrow my focus more.
I work as an app analyst in healthcare. My interaction with AI is limited to the vendor tools we use, and frankly, I don't see much value in learning it unless necessary for advancement. I'd rather keep it simple.
Do you feel there might be any benefits in the future if you dive deeper into AI?
AI is just another tool in the arsenal. I think of it like the internet; some resist it, but in reality, it can significantly improve workflows. I use it for brainstorming and automating repetitive tasks, but I never fully rely on it for critical functions.
What do you think would improve AI to make it a more valuable tool rather than a crutch?