AI tools have become genuinely useful. Not as replacements for your thinking, but as accelerators for specific tasks. The key is knowing what they're good at, where they fail, and how to use them without undermining the quality of your work.
Where AI Actually Helps
Writing first drafts
AI is excellent at turning an outline into a first draft, and first drafts are where most people get stuck. Instead of staring at a blank page, describe what you want to write and ask for a starting point. Then edit heavily.
What to do: Give the AI your outline, your key points, and the tone you're aiming for. Treat the output as raw material, not a finished product.
Research synthesis
When you need to understand a new topic quickly, AI can summarize key concepts, explain jargon, and surface what's contested vs. what's established. It won't replace primary sources, but it compresses your ramp-up time significantly.
Caution: AI can be confidently wrong about specific facts, citations, and recent events. Always verify claims that matter with primary sources.
Editing and feedback
Paste your writing into an AI tool and ask for specific feedback: "Is this argument clear?" "What is this paragraph trying to say?" "What's missing?" This works much better than asking "make this better." Specific requests get specific responses.
Brainstorming
When you're stuck, AI is useful for generating options. List 10 angles for this essay. Suggest 5 ways to structure this section. What are common objections to this argument? You won't use most of what it generates, but the list moves you forward.
Formatting and structuring
AI is very good at taking messy notes and organizing them into a structure, turning a long document into a summary, or reformatting content for a different purpose.
Tools Worth Knowing
Claude (claude.ai) Strong reasoning and long-form writing. Handles complex instructions well. Good for thinking through arguments, editing, and research synthesis. Free tier available.
ChatGPT (chat.openai.com) Versatile, widely used. Strong across most tasks. GPT-4o is the current free model.
Perplexity (perplexity.ai) AI search with citations. Better than standard AI for fact-checking and research because it links to sources. Free tier available.
Gemini (gemini.google.com) Google's model. Integrates with Google Workspace (Docs, Sheets). Useful if you live in Google's ecosystem.
Grammarly Specialized for writing correction and tone adjustment. Free tier handles most use cases.
Otter.ai / Fireflies Transcription and meeting notes. Useful if you attend a lot of calls or want to capture voice notes efficiently.
What AI Is Bad At (And Where Candidates Get Caught)
Originality. AI produces statistically probable writing, which means it often sounds generic. If you submit AI-written scholarship essays with minimal editing, reviewers notice. The writing lacks your specific voice, experiences, and concrete details.
Specific facts. Don't trust AI for citations, statistics, dates, or specific claims. Verify everything.
Honesty about uncertainty. AI tools often present guesses with the same confidence as established facts. Be skeptical of specific details.
Your actual experience. No AI knows what you've done, why you care about it, or what makes your path unique. The parts of applications that matter most (your specific examples, your personal story, your goals) have to come from you.
A Practical Rule
Use AI for tasks where the quality of the process matters less than the quality of the output: drafts you'll heavily edit, structures you'll reorganize, research you'll verify.
Don't use AI for tasks where your unique perspective is the point: final application essays, personal statements, interview answers, or anything that's supposed to represent your voice.
The candidates who use AI well are the ones who understand what it accelerates and what it can't replace. Learn the difference and you'll have a real advantage.