AI by industry
How AI is used in IT and IS, business analysis, marketing, finance, accounting, construction, insurance, healthcare and more, with starter prompts and risks.
How to use this page
Find the field you work in or want to work in. Each section shows real ways AI is used, a prompt you can copy and adapt, what can go wrong, and what to learn. In every field, AI is a fast first draft. A person still checks the work and carries the responsibility.
Four rules that apply everywhere
- Check the facts. AI can be confidently wrong.
- Protect private data. Do not paste client, patient, student or company secrets into a public tool.
- Keep a person in charge of decisions that affect money, safety, health or jobs.
- Know the rules of your field. Regulated fields have extra requirements. See safe AI use.
IT and Information Systems
Keeping systems running, secure and useful to the business.
How AI is used
- Code help: explain error messages, write and review small scripts, generate SQL queries from plain English.
- Help desk: draft answers to common questions and sort tickets by type and urgency.
- Security and monitoring: summarize alerts and logs so a person can focus on the real problems.
- Documentation: turn messy notes into clear how-to guides and system diagrams.
Starter prompt
I get this error when I run my SQL query: [paste error]. Explain what it means in plain English, show the fix, and tell me how to check it worked.
Watch out for: AI-written code can contain bugs or security holes. Test it, review it, and never paste passwords or customer data into a public tool.
Skills to learn: Learn SQL, GitHub and one scripting language. Understand frontend vs backend, APIs and access control.
Business analysis and data analytics
Turning numbers and messy information into decisions.
How AI is used
- Clean and combine spreadsheets, find patterns, and explain a chart in plain words.
- Draft requirements documents and user stories from meeting notes.
- Summarize survey comments and customer reviews into themes.
- Build first-draft dashboards and forecasts for a person to check.
Starter prompt
Here is a table of monthly sales by product [paste data]. List the three most important trends, one possible cause for each, and what extra data would confirm it. Do not guess numbers that are not in the table.
Watch out for: AI can state wrong numbers confidently. Recalculate key figures yourself and keep the original data unchanged.
Skills to learn: Learn Excel or Google Sheets formulas, SQL, charts, and how to question a result.
Marketing and sales
Finding customers and keeping them interested.
How AI is used
- Create ad images and short videos (see FLUX 3, Higgsfield and CapCut).
- Write email and social drafts in your brand voice, then test several versions.
- Summarize competitor activity and customer feedback.
- Score and sort leads, and prepare notes before a sales call.
Starter prompt
Write three versions of a 30-second ad script for [product] aimed at [audience]. Each should use a different hook: a question, a surprising fact, and a short story. Keep claims factual and do not promise results.
Watch out for: Do not make claims you cannot prove, imitate real people, or skip required AI labels. Check ad platform rules.
Skills to learn: Learn A/B testing, conversion rate, customer segments and basic analytics.
Finance and investing
Managing money, risk and reporting.
How AI is used
- Summarize earnings reports and long filings into key points.
- Build first-draft models and compare scenarios (what if sales fall 10 percent?).
- Flag unusual transactions for review.
- Explain financial terms in plain language.
Starter prompt
Summarize the main risks and growth drivers in this company report [paste text] in 10 bullets. Separate facts stated in the document from your own interpretation. This is for learning, not investment advice.
Watch out for: AI is not a licensed advisor and can invent figures. Verify numbers against the source filing. Never share account numbers. Rules for advice are strict in this field.
Skills to learn: Learn the three financial statements, time value of money, and how to read a filing.
Accounting and audit
Recording transactions accurately and proving they are correct.
How AI is used
- Read invoices and receipts and fill in the books (automated data entry).
- Match bank records to ledger entries and highlight what does not match.
- Draft explanations for variances in a monthly report.
- Help auditors test whole datasets instead of small samples.
Starter prompt
Here are 20 expense descriptions [paste]. Suggest an account category for each, mark any you are unsure about, and list questions I should ask before recording them.
Watch out for: Accuracy and an audit trail are the whole job. Keep a person approving entries, keep records of what the AI did, and protect confidential financial data.
Skills to learn: Learn debits and credits, reconciliation, internal controls and spreadsheet skills.
Construction and real estate
Designing, building and managing physical projects.
How AI is used
- Turn a client's plain-language description of a home into a first-draft layout and list of requirements, for an engineer to review.
- Read plans and specifications and flag conflicts or missing items.
- Draft bids, change orders and daily reports from notes.
- Track schedules, spot delay risks, and summarize site photos.
Starter prompt
Here is a client's description of what they want in a home [paste]. List the requirements as a checklist, mark any that conflict with each other, and write five questions to ask the client before design starts.
Watch out for: Safety and code compliance are not up to AI. A licensed professional must review designs and calculations. Do not trust measurements or load numbers from a chatbot.
Skills to learn: Learn project scheduling, cost estimating, how permits work, and the basics of reading plans.
Insurance and risk
Protecting people and businesses from financial loss.
How AI is used
- Compare plans and explain terms in plain English for a client meeting (with agent review).
- Draft follow-up emails and client notes.
- Speed up claims intake and flag unusual claims.
- Track rule changes with a scheduled news watch.
Starter prompt
Explain the difference between [plan type A] and [plan type B] in plain English for a 65-year-old. Use only information I paste below, list what to verify with the carrier, and do not recommend a plan.
Watch out for: Strict rules cover advice, privacy and marketing. Check your company and regulator rules before using AI with client information. Always verify plan details with the carrier.
Skills to learn: Learn the basic product types, compliance rules and how to document client conversations.
Healthcare
Helping patients while protecting very private information.
How AI is used
- Draft summaries of visit notes for clinician review.
- Handle scheduling, reminders and billing questions.
- Help researchers search and summarize studies.
- Explain forms and instructions in plain language.
Starter prompt
Rewrite this discharge instruction [paste a sample with no real patient details] at a 6th-grade reading level, and list anything that a nurse should confirm.
Watch out for: Patient data is heavily protected. Never paste real patient details into a general chatbot. AI must not replace a clinician's judgment.
Skills to learn: Learn privacy basics (HIPAA in the US), health information systems, and how clinical review works.
HR and recruiting
Hiring, training and supporting employees.
How AI is used
- Draft job posts and interview questions.
- Summarize resumes against stated requirements for a person to review.
- Create training material and onboarding checklists.
- Answer common policy questions.
Starter prompt
Write a job post for an entry-level [role] that lists the real day-to-day tasks, avoids biased wording, and separates required skills from nice-to-haves.
Watch out for: AI can copy bias from its data. Hiring decisions need human review and may be regulated. Do not feed private employee data into public tools.
Skills to learn: Learn fair hiring rules, how applicant tracking systems work, and basic people analytics.
Operations and supply chain
Getting products and services delivered on time and at a good cost.
How AI is used
- Forecast demand and plan inventory.
- Find the best delivery routes and warehouse layouts.
- Predict equipment failures before they happen.
- Summarize supplier performance.
Starter prompt
Here is last year's weekly sales for one product [paste]. Describe the seasonal pattern, suggest how much stock to hold before the busiest weeks, and say what could make the forecast wrong.
Watch out for: Forecasts fail when conditions change. Test against past data and keep a person in charge of big orders.
Skills to learn: Learn spreadsheets, inventory basics, process mapping and key performance indicators (KPIs).
Education and training
Helping people learn faster.
How AI is used
- Explain a topic at different levels and give practice questions.
- Create study guides and flashcards from notes.
- Give first-draft feedback on writing for the student to improve.
- Plan lessons and training.
Starter prompt
Explain [topic] in simple terms with a business example, then ask me five questions, one at a time, and tell me whether each answer is right.
Watch out for: Use AI to learn, not to replace your work. Follow your school's rules on AI, and check facts. Handing in AI text as your own can break academic rules.
Skills to learn: Learn how to prompt for explanations, and how to check an answer against a trusted source.
Customer service and small business
Answering customers quickly and consistently.
How AI is used
- Chatbots answer common questions and pass hard ones to a person.
- Draft replies that match the brand's tone.
- Sort emails and requests by topic.
- Summarize call notes into a customer record.
Starter prompt
Here are our five most common customer questions and approved answers [paste]. Write a friendly reply template for each, and a rule for when to hand the customer to a human.
Watch out for: Wrong answers hurt trust. Give the AI approved information only, and let customers reach a person.
Skills to learn: Learn customer journey mapping, CRM basics and how to measure satisfaction.
Add your field
Work in a sector that is not listed (law, nonprofit, agriculture, sports, real estate)? Add a section by copying one of the blocks in industries.html, or ask in the club chat. See how to contribute.
These are examples of common uses, not guarantees. Tools, laws and best practices change, so confirm details with your employer, regulator or official sources.