## Overview AI can do the heavy lifting for some of the repetitive tasks that we currently do. But it can't *think*. Whilst AI is developing rapidly, at the time of writing: * **Generative AI** creates content, or processes large volumes of data, by utilising the patterns it was exposed through during its training. It operates in response to natural language prompts (see: [[AI Prompt Engineering Guide]]). * It does not understand the content it is generating - it simply mimics patterns. Likewise, it does not reason or plan, instead generating output based on probability or likelihood. * It has no goal or intention - it simply responds to prompts. * It is particularly prone to hallucination - producing plausible but false information. (see: [[Preventing AI Hallucinations]]) * **Agentic AI** *can* pursue goals and take action, and can make decisions across multiple steps. It can break a goal into subtasks and work through them, and it can monitor its own progress and adapts its behaviour accordingly. * It does not have self-awareness or general intelligence, and it still requires human oversight for goals, values and decisions. * Without constraints, it can become inefficient, and it may struggle in unstructured or ambiguous environments. AI can not replicate human thinking. And without the *right kinds* of human thinking, there is a risk that using AI will result in unintended consequences. And this is where the shift of human skills comes in: see [[The decline of linear (or analytical) thinking]] and [[Thinking models that still matter]]