According to Andrew Ng (@AndrewYNg), concerns about AI making human contributions obsolete are largely fueled by hype, not reality. Ng emphasizes that despite rapid advancements in AI, current large language models (LLMs) are still highly specialized, require significant customization, and remain limited compared to humans in many business contexts (source: deeplearning.ai/the-batch/issue-327). He highlights that while AI tools are improving, they cannot fully automate complex tasks like resume screening or decision-making without extensive engineering. Ng points out that fears of AGI (Artificial General Intelligence) displacing all jobs are overstated, and that there are significant business opportunities in building AI applications tailored to specific problems. He encourages young professionals and students to learn AI and software development, as the industry will need skilled talent for decades, especially for creating, customizing, and deploying practical AI solutions in diverse markets.