/
What can AI do? Explaining Real-world Use Cases
Last Updated:
Jan 5, 2026

What can AI do? Explaining Real-world Use Cases

What can AI do in practical terms? AI already handles tasks that once required hours of human effort, from writing blog posts to editing photos to creating video content.

In this article, then, we’re going to look at what you can accomplish with AI tools today.

1. Writing

What can AI do for writers and content creators?

  • Writes first drafts
  • Rewrite clunky sentences
  • Adapts content for different audiences

Many professional writers already use AI to co-create, providing the direction, and using an AI assistant to generate the words.

Drafting

AI writing tools can create a lot of content from little — by accepting a single prompt or idea, they can turn it into a complete article, email, social media post, even movie script. All they need to get started is a topic or outline. The output isn't always perfect, but it gives you something to work with instead of a blank page.

Editing

While AI tools are very useful for writing, arguably, they’re even better at editing content that’s already been written — by another AI assistant or human. As an editor, AI excels at:

  • Fixing grammar
  • Adjusting tone
  • Simplifying complex sentences
  • Cutting unnecessary words
  • Rewriting content to match a specific style guide or reading level

Translation

AI translates text between languages while preserving context and nuance better than word-for-word translation, which is why AI-powered translators are a much better alternative to Google Translate. Additionally, most AI-powered translators don’t have the word limit that Google Translate has, allowing you to work with much larger documents.

Summarization

An AI assistant can read a 50-page report and give you a one-page summary of the most important information. This works because modern AI tools have very large token context windows — they can handle up to and over 1 million tokens. This helps them to remember and understand a lot of information.

2. Creating and Editing Images

What an AI assistant can do with images goes beyond simple filters. Modern AI generates original images from text descriptions and selectively edits photos — making workflows that once required professional software skills simple two click jobs.

AI Text-to-Image Generation

With AI image generators, you can describe what you want to see, and AI will create it, giving you the ability to create unique, artistic images in seconds. Modern AI image generators understand composition, lighting, color theory, and artistic styles.

For example, designers already use AI to create:

  • Concept art and mockups
  • Product visualizations
  • Marketing materials
  • Social media graphics
  • Website illustrations

Critically, AI generates each image from scratch based on your description, so every image it creates is 100% original..

Photo Editing

With AI, you generate new images from scratch, but you can also edit images: remove backgrounds, change colors, add or remove objects, and fix imperfections.

Example of AI photo editing

In the past, these types of modifications required technical knowledge and skill, but today you don't need to understand layers, masks, or selection tools. Instead, just describe the edits you want in plain English and the AI will create that content.

Want to extend a photo's background or swap out a sky? Try Overchat AI image editor — your best AI-powered Photoshop alternative.

Video Generation

AI video tools generate videos from text prompts, edit footage automatically, and add effects that would take manual editors hours to create. The technology handles both creation and post-production tasks.

What can AI agents do with video generation?

  • Create short clips from written descriptions
  • Animate still images
  • Edit existing videos
  • Remove filler words
  • Cut silence
  • Add subtitles

Looking for the best AI video generator to create new videos from text or animate images? Try Sora 2 on Overchat AI — and start creating stunning videos from simple text prompts today. 

An example of an AI video generation using Hailuo 2.3 video generation model

Here's what AI handles in video editing:

Task What AI Does Time Saved
Subtitle generation Transcribes speech and syncs text to video 75-90%
Scene detection Identifies and marks distinct scenes automatically 60-80%
Color grading Matches colors across clips for consistency 50-70%
Audio cleanup Removes background noise and balances levels 40-60%

AI Style Transfer

AI applies artistic styles to video footage, making real clips look like paintings or animations. It also generates transitions, adds motion graphics, and creates visual effects without requiring specialized software knowledge.

What AI Does Differently Than Humans

What can AI do that humans can't? It comes down to these 3 applications:

  • AI processes large datasets quickly
  • AI spots patterns in complex datasets
  • AI maintains consistency in repetitive tasks

Speed and scale: AI tools can analyze thousands of documents in minutes, or personalizes content for millions of users simultaneously. A human team would need weeks or months to accomplish the same volume of work. This speed advantage matters most for tasks with high volume and clear parameters. Since AI doesn't get tired, it doesn't need breaks, which is why it can produce consistent quality from the first item to the millionth.

Pattern recognition: AI is very good at spotting correlations and patterns that humans miss in large datasets. For instance, in medical images, an AI tool can spot early signs of disease that a human doctor would have missed, because the patterns AI finds aren't always obvious or intuitive — it discovers relationships in data that might take human researchers years of analysis to uncover.

Consistency in repetitive work. Humans get bored, make typos, and lose focus during repetitive tasks, but AI tools maintain the same attention and accuracy even when working on the thousandth task.

How do different people use AI?

AI tools work differently in different fields, but they all have the same basic abilities. This is why most professionals use them in similar ways. For example:

Marketing teams use AI to write ad copy, generate product images, and create video ads. Customer service departments use AI chatbots to answer common questions and pass on complex issues to humans. Doctors and nurses use AI to look at scans, predict how patients will do, and write notes about patients.

Developers use AI to write code, fix errors and explain complicated functions. Financial analysts use it to process reports, generate summaries, and identify trends. Teachers use it to create practice problems, give feedback on writing, and make learning materials that are exactly right for each student.

Bottom Line

You don't need technical skills to use modern AI tools. Most of the work is done through simple text prompts where you describe what you want in easy-to-understand language. The AI understands what you want and gives you the results. Start with a task that you do regularly. Find an AI tool designed for that task. Try it out with a small project. Check that the output is good enough for you. Change your prompts so that they work and don't work.

It doesn't take as long to learn as traditional software because you're not dealing with a bunch of commands and menus, you're just chatting. Let the AI assistant take care of the technical side of content creation, and you take care of the creative side and make the final decisions. You decide the direction, the AI suggests options, and you choose what works.