Unless you live in a remote forest with no access to electricity and the Internet, you’ve certainly noticed the recent buzz around Artificial Intelligence. You’ve seen it everywhere on the Internet, in commercials, and even as a sticker on washing machines, and you may have had the impression that AI was born yesterday.
There is nothing more wrong. AI has been around for a lot of years. We just weren’t told that algorithms (like the one showing today’s offers on Amazon) use AI models every day. So where does all the buzz come from?
The big innovation introduced a couple of years ago was about generative AI. Not that generative AI was invented in 2022, but generative AI interfaces have never been as user-friendly as they are now. Today, if the only thing you can do with a computer is typing on a keyboard, you can use generative AI. This is where the big innovation of the century lies. This is what will probably lead the globe to the next industrial revolution.
That said, it is probably worth it to understand what generative AI is and what its real-world applications are.
What is Generative AI?
Before moving on to discuss what generative AI is, we need to take a step back and provide a definition of what Artificial Intelligence is.
Artificial Intelligence is a technology that enables machines to simulate human learning, creativity, problem-solving, and comprehension. Any algorithm capable of doing predictions is AI, any software capable of recognizing patterns in a set of unstructured data is AI.
Generative AI is a specific type of artificial intelligence. It is AI that can produce content. What type of content can it produce? Any type: text, images, video, audio, and data.
Generative AI, let’s be clear, wasn’t born two years ago. However, only recently it has become so advanced that users can actually speak to it and create content with generative AI just by asking the AI tool to do it.
How does Generative AI Work?
The mechanism for using generative AI is simple: you input a prompt, and the technology creates the requested content.
Early versions of this technology required users to submit their requests via an API or other complicated process. Nowadays, users can submit their prompt in the form of text, using their native language instead of programming languages and coding.
With the most recent developments, users can also provide feedback for the content AI has generated, and the AI would adjust the content accordingly.
This is how generative AI works on the user side. But what happens behind the scenes?
Generative AI Models
If generative AI can generate content, it is thanks to generative models. This is how they generally work:
- They are provided with training data
- They learn patterns from the data set
- They apply the understandings to generate new content in response to the input they are given
Most Popular Generative AI Interfaces
The most popular generative AI interfaces in 2025 are:
- ChatGPT, the one who gave the start to all the above-mentioned “buzz”. It’s an AI-powered chatbot that provides one of the easiest ways of interacting with a generative AI. Users can provide prompts via chat, simply by asking the chat to do something. The chat replies with the required content.
- Dall-E. It’s a generative AI trained with a lot of images and their associated text descriptions. It can create pictures starting with a text prompt.
- Gemini. It’s Google’s generative AI and it is a sort of virtual assistant for Google devices and more.
Top 10 Generative AI Use Cases in 2025
- AI-powered Chatbots to empower Customer Support. Platforms powered by ChatGPT provide personalized customer support 24/7. The chatbot is trained on the organization’s data and will improve over time while functioning.
- Cost-Effective Professional Photos. Having professional photos at your disposal has become central in any industry. Companies need them for their corporate website, freelancers need them for their online content, and marketers need them for their campaigns. AI-powered tools help edit and create photos and reduce the time spent on the operation.
- Content Marketing. Generative AI helps brainstorm ideas for new content and helps create content. Tools like ChatGPT or Claude are used to create professional drafts and support the work of professional creatives. AI-powered tools are also utilized to optimize proofreading, scheduling, and other tasks to help streamline the content marketing workflow.
- Report summarization. In any company that counts multiple departments, reports are utilized to store and share information. Reading through those reports can often be time-consuming, especially when you need to provide a single piece of information to your boss, and you must find it in a 42-page long report. AI-powered tools are used to summarize documents and to find single information within the report. For example, users can ask the AI-specific questions, and the tool will provide the requested data in seconds.
- Simplify video production. AI-powered tools are used to simplify any phase of video production. They help outline storyboards and scripts, review generated videos, summarize feedback, and enhance post-production editing.
- Create AI avatars for E–learning. AI-generated avatars deliver engaging educational materials. With AI-powered tools, creating an avatar can be straightforward.
- Automate subtitles and dubbing. AI tools create automated subtitles and automatically synch them with dialogue. They also improve and automate dubbing. Both processes streamline the creation of educational content and any content that needs to be available in different languages.
- Automate email responses. AI-powered tools automatically respond to emails mimicking human language.
- Legal document generation. Writing legal documents can be time-consuming, especially because you need to quote regulations and laws. AI-powered tools support professionals in the generation of papers.
- Automate referring in academic papers. AI-powered tools automatically identify, write, and format citations for academic papers adhering to specific citation styles (APA, MLA, or others…)
Conclusion
Generative AI continues transforming industries by simplifying workflows, enhancing creativity, and automating complex tasks across various sectors.
