Want To Work in AI? Top 4 Skills You Actually Need

Andrew Ng, a well-known AI educator, recently shared the four skills he believes every AI developer needs today: building AI tools, understanding software basics, using AI coding helpers, and tying projects to business goals. His advice comes from analyzing 10,000 job postings and talking to hiring managers. But other experts argue his list misses the bigger picture.

They say the real challenge isn’t just coding—it’s knowing *why* to build something in the first place. For example, an AI tool might work perfectly, but if it doesn’t solve a real customer problem or fit into a company’s budget, it’s useless. One critic called Ng’s focus “way too internally looking” and warned it could lead to engineers who build things no one wants.

Another expert pointed out that in real companies, the hardest part isn’t writing the AI code—it’s managing costs, keeping systems running, and making sure the AI behaves reliably. They warned that focusing only on technical skills could backfire, leaving businesses stuck with expensive tools that don’t deliver value.

The debate highlights a shift in AI jobs: they’re no longer just for coders. Now, workers need to bridge the gap between technology and business. Whether you’re a developer or a manager, understanding both sides could be the difference between a thriving career and a dead-end project.