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We appreciate your perspective, but our video focuses on the economic and business factors driving corporations to Dublin, such as its favorable tax policies, skilled workforce, and EU market access. While geopolitical dynamics always play a role in global business decisions, our content is based on widely recognized economic trends rather than speculation. If you have credible sources supporting your claim, we'd love to review them.

Finally, a work-life balance AI approves of! 😄

True, AI is evolving, but it’s more about collaboration than replacement.

@CopperDigitalInc * for now 🤣 Such assumptions disregard fundamental innovation. Like when people were talking about limits in quantity of data to keep scaling, but then there was innovation and scaling happened in a different way (inference time). Just because there are limitations doesn't mean the research into overcoming those limitations won't be successful.

That’s a great take! AI assists, but humans still lead. But with agentic AI evolving, do you see a future where it plays a bigger role in automation?

Hey.. If you’re aiming for high-paying tech jobs, here’s the deal: - Computer Science is your go-to if you love coding and building stuff. It’s the most direct path to becoming a software engineer. - Statistics is perfect if you’re into data and patterns-great for roles in data analysis, AI, and machine learning. - Math is awesome for problem-solving and theoretical work, like cryptography or quantitative analysis. - Physics can lead to cool careers in robotics, hardware, or simulations. If you’re unsure, I’d say CS is the safest bet. Just make sure to pick up some coding skills no matter what-those are golden in any tech role! Hope it helps!

That's again a great point! FAANG companies are indeed leading the way with advanced AI like GPT and Gemini. However, integrating these tools into applications still requires skilled software engineers to customize, maintain, and optimize them for specific use cases. AI enhances productivity, but human expertise remains essential for innovation and problem-solving.

Exactly! 🎯 It's all about leveraging AI as a tool rather than reinventing the wheel. Developers don’t need to become data scientists-they just need to understand how to integrate AI solutions effectively into their projects. With the right APIs and frameworks, AI can enhance development rather than replace it. Great point!