Why Software Engineering is Getting BIGGER in 2026?

This video examines the "Jevons paradox" through the lens of historical coal consumption and modern technological efficiency, particularly in the realm of AI accuracy. We discuss how increased efficiency can lead to greater resource consumption, a paradox relevant to current debates around AI tools and their adoption. The discussion also touches upon developer trust in AI tools and outlines pathways for career development in machine learning. 👨‍💻 ABOUT ME 15+ year web development veteran with a background in FinTech, Crypto, and Cloud Security. I’m on a mission to help developers master Enterprise Angular and navigate the AI revolution. I share high-level architectural insights and strategic AI integrations designed to improve code quality, not just speed. 🔗 CONNECT WITH ME 🌐 Website: https://adnanhalilovic.com 📝 Dev Blog: https://blog.adnanhalilovic.com 🐦 Twitter: https://x.com/4dnandev ⚙️ GitHub: https://github.com/adnan-halilovic 💼 LinkedIn: https://linkedin.com/in/adnan-halilovic 💡 Questions about web development or using AI in your projects? Comment below! Video chapters: 00:00 - The 2026 Reality Check 01:05 - The Jevons Paradox of Coding 02:22 - The Trust Gap and Complexity 03:28 - Market Winners and Losers 04:35 - The Next 5 Years of Demand