Top 10 Generative AI Examples You Need to Know

Introduction

Generative AI is revolutionizing the way we work, create, and interact with technology. From AI that crafts human-like text to systems that generate stunning visuals, the impact of generative AI spans across various industries.

Whether you're a tech enthusiast, a content creator, or simply curious about the future, these 10 generative AI examples offer a glimpse into the tools that are transforming our digital landscape.

Generative AI Examples Leading the Way

Generative AI is no longer experimental—it’s powering real-world tools that millions use daily. From writing code to designing visuals, here are the top generative AI examples that are changing how we create, work, and interact.

1. ChatGPT by OpenAI

What it does: ChatGPT is a conversational AI developed by OpenAI that can write, translate, summarize, and answer questions in human-like language.

Why it matters: It was the catalyst for mainstream generative AI adoption. ChatGPT redefined how people interact with technology by making complex tasks like research, writing, and ideation as simple as chatting.

Used for:

• Writing blogs, emails, and essays
• Coding assistance and debugging
• Learning and tutoring
• Customer support and virtual agents

Fun fact: As of 2024, over 180 million users interact with ChatGPT across industries—from healthcare to legal services.

2. DALL·E 3 by OpenAI

What it does: DALL·E 3 creates realistic and artistic images from natural language prompts, such as “a cyberpunk tiger walking through Tokyo at night.”

Why it matters: It bridges the language-visual divide. Designers, marketers, and storytellers can now visualize complex ideas instantly—no need for graphic design experience.

Used for:

• Ad campaign creatives
• Website mockups
• Storyboards and book illustrations
• Product and packaging design

Pro tip: DALL·E is now integrated with ChatGPT, enabling users to refine image prompts in conversation and generate visuals seamlessly.

3. Runway ML

What it does: Runway ML offers video editing, inpainting, and AI video generation features, making film-level effects accessible to everyday creators.

Why it matters: It democratizes video production. Users can remove objects, change backgrounds, or generate video clips with just a few clicks.

Used for:

• YouTube and TikTok contentShort films and trailers
• Marketing videos and explainers
• Music video visual effects

Popular tool: Gen-2 by Runway lets you turn a text prompt into a short video—an innovation that was unthinkable a few years ago.

4. GitHub Copilot

What it does: GitHub Copilot uses OpenAI Codex to autocomplete code in real-time as developers type.

Why it matters: It’s like pair-programming with an AI expert. It saves time, reduces errors, and boosts productivity, especially for repetitive or boilerplate code.

Used for:

• Writing and debugging code
• Learning new programming languages
• Accelerating app development
• Building prototypes and MVPs

Dev tip: It supports dozens of languages including Python, JavaScript, C++, and more—and even helps explain code logic to beginners.

5. Adobe Firefly

What it does: Firefly brings generative AI into Adobe’s Creative Cloud tools, letting users create images, text effects, and fill missing areas in photos using prompts.

Why it matters: It makes creative design inclusive. Even users without design backgrounds can craft professional visuals quickly.

Used for:

• Social media graphics
• Brand identity design
• Photo retouching and restoration
• Ad creatives

Unique feature: Firefly is trained on Adobe’s stock image library, ensuring legal-safe content generation for commercial use.

6. Midjourney

What it does: Midjourney is a generative art tool known for its aesthetic, highly stylized visuals that often resemble paintings or cinematic stills.

Why it matters: It's favored by creative professionals who seek unique art styles that other AI tools can’t replicate.

Used for:

• Album art and posters
• NFT design
• Fashion editorial concepts
• Fantasy and sci-fi illustrations

Creator insight: Midjourney’s Discord-based prompt interface allows for a collaborative, community-driven design process.

7. Synthesia

What it does: Synthesia generates AI videos using digital avatars that can speak in over 100 languages and mimic human expressions and gestures.

Why it matters: It replaces traditional video shoots—saving time, money, and resources.

Used for:

• Training and onboarding videos
• Global corporate communication
• Marketing explainers
• Edtech and language tutorials

Efficiency stat: Brands save up to 80% in production costs using Synthesia instead of traditional video teams.

8. Jasper AI

What it does: Jasper is a generative writing assistant that specializes in marketing copy, blog content, and email campaigns using AI models like GPT.

Why it matters: It helps businesses scale their content marketing efficiently while maintaining brand voice and quality.

Used for:

• Ad copy and email marketing
• Blog writing and SEO content
• Product descriptions
• LinkedIn and social posts

Edge: Jasper includes built-in templates and brand voice controls—making it a favorite among digital marketers.

9. Sora by OpenAI (Upcoming)

What it does: Sora is a next-generation AI that aims to generate high-quality video content from text prompts.

Why it matters: Still under development, it holds the potential to disrupt video production just like DALL·E disrupted image design.

Potential uses:

• Interactive storytelling
• Personalized education videos
• On-demand animations
• Immersive brand campaigns

Watch this space: Early demos suggest Sora could eventually allow users to create entire short films from scripts in minutes.

10. Glance AI

What it does:
 Glance AI is an AI-powered platform that curates real-time, hyper-personalized content across smartphones and smart TVs. It recently launched its Glance app, expanding from smart lock screens to an immersive in-app discovery experience.

Why it matters:
Glance is redefining how content is discovered. Instead of users searching or browsing, Glance delivers personalized moments—news, entertainment, shopping, and more—right when you need them. It’s predictive, not reactive.

Used for:

• Personalized content on lock screens and smart TVs
• AI-powered shopping experiences
• Digital Twin integrations for style simulation
• Real-time entertainment and infotainment updates

Glance AI’s experience on smart lock screens reaches over 235 million users in Asia, offering hyper-personalized experiences based on time of day, user behavior, and contextual mood.

Where it stands out: Unlike most AI platforms that wait for a user to ask, Glance anticipates needs—redefining "discovery" in a way that’s passive yet precise.

Benefits of Generative AI 

The Future of Generative AI: What to Watch

As generative AI continues to evolve, several trends are emerging:

• Real-Time Generative UX: AI adapting on the fly to user moods and preferences.
• AI + Emotion Recognition: Designing content based on real-time emotional analysis.
• Cross-Platform AI Integration: Personalized AI experiences across devices and platforms.
• Ethical AI Models: Focus on creating bias-free and inclusive AI systems.
• Hyperlocal Content Creation: Generating content tailored to specific geographies and cultures.

Platforms like Glance AI are at the forefront of these developments, integrating AI curation into daily, seamless content discovery experiences. 

Conclusion

From AI-driven text generation to personalized content delivery on smart devices, generative AI is reshaping the digital landscape. Tools like ChatGPT, DALL·E, and Glance AI exemplify the diverse applications of this technology.

As we move forward, the integration of generative AI into various aspects of our lives will continue to grow, offering new opportunities for creativity, efficiency, and personalization.

FAQs

What are the best examples of generative AI?
Some leading examples include ChatGPT, DALL·E, GitHub Copilot, Midjourney, and Glance AI.

Which real-world applications use generative AI?
Applications like Synthesia for video creation and Adobe Firefly for design are widely adopted in various industries.

What is generative AI?
 Generative AI refers to algorithms that can create new content—such as text, images, or code—based on training data.

Who are the major players in generative AI?
Key players include OpenAI, Adobe, Google, and emerging platforms like Glance AI.

What are the top 5 generative AI tools?
Top tools include ChatGPT, Midjourney, Adobe Firefly, GitHub Copilot, and Jasper AI.