Author(s): Amit | AI & Side Hustle

Originally published on Towards AI.

The people winning right now aren’t the ones who know the most about AI. They’re the ones who’ve learned to work with it.

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The article argues that in 2026, access to AI tools won’t be the differentiator—judgment and practical skills will be. It outlines ten “deciding” capabilities: designing better prompts (prompt architecture), building and orchestrating AI agents, using RAG for grounded answers, evaluating AI output quality, knowing when fine-tuning is worth it, designing multimodal workflows, developing data literacy to understand model limits and benchmarks, using AI to assist research without skipping primary-source checks, designing effective human–AI collaboration and review workflows, and ultimately creating personal AI systems and habits. It concludes that the real shift is from casual “use” to deliberate practice, and that the gap between knowing and doing is where most people stall—so readers should pick a skill and build something small right away.

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Published via Towards AI