Understand how to work with AI tools
Over the past couple of years, AI tools have improved quickly and become widely accessible. Many of the major models now perform at similar levels for most everyday tasks. Because of that, the real difference is not which model you use, but how you use it. The people who will benefit most from AI are not the ones chasing the newest tool. They are the ones who understand how to work with these systems effectively.
One idea I emphasize when discussing AI is that humans and AI are not competing in the same categories. AI excels at speed. It can process large amounts of information quickly and generate responses at scale. Humans should not try to compete on speed. Our advantage, and where we remain essential, is judgment. We decide which problems matter, evaluate whether an answer is correct, and apply context to real situations. In addition, soft skills such as critical thinking, problem solving, communication, empathy, and collaboration are more important than ever. Staying current with technology and AI can further strengthen this advantage. Below is a list of technical skills and tools to know in the age of AI.
Prompting has Evolved
AI models have become highly effective at interpreting user intent, so crafting overly intricate prompts is less important than it once was. Good prompting is no longer about writing long, detailed instructions; modern models can often infer what you mean. However, in professional settings, especially where token usage has cost implications, the goal shifts to writing clear, efficient prompts that minimize the need for follow-up. A simple structure helps: define the purpose, assign a role with relevant context, and specify the expected result. Because tokens translate directly into cost and compute usage, “token burn” is a real consideration. Being intentional and economical with prompts and agent workflows will increasingly matter in the workplace.
Skills Building for AI
This also means AI literacy should go beyond simply asking a chatbot questions. Students and professionals should learn how to use AI as part of a workflow. One practical benchmark I like is simple: people should learn how to automate a few things they do every day and/or use AI to improve a workflow. Once someone experiences that, they start to see how these tools can actually help them work differently.
At the same time, the core skills of computer science and technology literacy are as important as ever. Understanding how systems work gives people the ability to adapt as tools change.
Skills that matter in the age of AI
• Digital and technical literacy
• Understanding how AI systems work, including strengths and limitations
• Coding fundamentals (a basic understanding is helpful)
• Understanding APIs and automation tools
• Cybersecurity awareness
• Digital research and verification skills
Tools worth exploring
• Any of the top chatbots: ChatGPT, Claude, Gemini or Microsoft Copilot
• Kaggle for datasets and experimentation
• Google Colab or Jupyter notebooks
• Ollama and/or Hugging Face for models and inference
• Agentic tools: Claude code, Gemini Gems/Canvas, Google AI Studio, OpenAI Codex, Replit
AI will continue to evolve quickly. The people who benefit most will not simply be the ones who use it. They will be the ones who understand how to work with it thoughtfully.