How can I use AI to be more productive?

How to use AI assistants at work, step by step

1. Start with blank-page tasks. Ask for a first draft of an email, proposal outline or job description. Editing a rough version takes far less effort than writing from nothing.
2. Summarise, then verify. Paste a long report or meeting transcript and ask for the key decisions, open questions and deadlines. Spot-check the summary against the original before you rely on it.
3. Turn chaos into a plan. Give the assistant your scattered to-do notes and ask it to group them, estimate effort and suggest an order. You still decide the priorities; it just saves the sorting.
4. Write prompts like a brief. State the audience, purpose, length and tone, and paste an example you like. Vague requests produce generic text that costs time to fix.
5. Use it as a sparring partner. Ask for counter-arguments, likely objections or questions a client might raise. This is often more valuable than asking it for the answer.
6. Check every fact and number. AI assistants can produce confident, plausible errors, including invented references. Anything that goes to a customer or manager needs your review.
7. Respect data rules. Follow your organisation's policy on which tools are approved and never paste personal, client or confidential information into an unapproved service.

Why AI speeds up some work and not other work

Generative AI is strongest at producing plausible language quickly, which is exactly what drafting, rewriting and summarising need. In a controlled experiment published in Science, professionals given access to a chatbot for writing tasks such as press releases and short reports finished about 40% faster, and independent graders rated the quality higher. A large field study of customer-support agents found productivity rose by about 14% on average, with the biggest gains for less experienced staff.

The same tools are weaker at anything that requires verified facts, up-to-date knowledge of your organisation or judgement about trade-offs. Because the output sounds fluent, errors are easy to miss, and time saved on drafting can be lost on correcting mistakes later. The productive approach is to use AI for the parts of a task that are about speed and variety, and keep the parts that need accountability, accuracy and context firmly with you.

Common mistakes

• Copying AI output straight into a client email or report without reading and correcting it.
• Asking one-line questions with no context and concluding that the tool is useless.
• Pasting confidential documents or personal data into a tool your employer has not approved.
• Using AI for tasks you do not understand yourself, so you cannot tell when the answer is wrong.