It’s Too Late To Learn AI! Wrong. Here’s why.
Author(s): Boris Meinardus
Originally published on Towards AI.
“The Death of Coding Jobs”, “12 reasons to ignore computer science degrees”, “Tech Workers Are in Deep, Deep Trouble”, and so much more… We need to talk.
Look at these headlines!
The article discusses the evolving landscape of AI and its impact on job security and employment opportunities in tech, arguing against the notion that it’s too late to start learning AI. It highlights the ongoing changes in the job market, the importance of adaptability, and the skills required to succeed in an AI-driven world. The author provides insights on the types of jobs and skills that are becoming essential, encouraging readers to embrace new technologies and stay ahead in the competitive landscape of artificial intelligence.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
