Artificial Intelligence (AI) is no longer just a buzzword it’s a transformative force reshaping industries, automating tasks, and even changing how we think. Whether you’re a tech enthusiast, a business owner, a student, or just someone curious about the future, you’ve probably interacted with AI in one way or another. But the big question remains: What is the best type of AI technology you have used?
As someone who has explored various AI tools across different domains, I’ve seen firsthand how each type of AI technology serves a unique purpose. Some improve productivity, while others make life more convenient or even more creative. In this post, I’ll walk you through the most impactful types of AI I’ve personally used and why one in particular stands out as the best at least for now.
Everyday Encounters with AI
Before diving into the best type, let’s talk about where AI is already showing up in our daily lives:
- Voice Assistants (like Siri, Alexa, Google Assistant): These tools use Natural Language Processing (NLP) to understand commands and provide answers. Whether it’s checking the weather or setting reminders, they’re convenient, but often limited in depth.
- Recommendation Systems (Netflix, Spotify, Amazon): Ever wondered how these platforms know what you want next? That’s machine learning at work, predicting preferences based on your behavior.
- Chatbots for Customer Service: You’ve likely interacted with AI-based bots on websites. They’re fast, always available, and improving with every query they handle.
- Beyond common AI tools, artificial intelligence is now being used to drive innovation in wealth generation and portfolio strategies. Explore how AI is revolutionizing finance and investments through data-driven insights and automation.
All of these AI technologies offer value. But none of them stood out to me quite as much as the next one I’ll discuss.
Generative AI: The Game Changer
If someone were to ask me, “What is the best type of AI technology you have used?” without hesitation, I would say Generative AI especially large language models (LLMs) like ChatGPT, Google Gemini, and Claude.
Why Generative AI?
Generative AI refers to models that create new content, whether it’s text, images, music, or code. Unlike traditional AI that analyzes or classifies data, generative models actually generate new material — and that’s revolutionary.
Here are some reasons why it stands out:
1. Boosts Productivity Like Never Before
Whether you’re writing emails, reports, or content for a website, tools like ChatGPT can draft, edit, and refine text in seconds. For businesses, this means faster workflows and less dependency on manual labor for repetitive tasks.
As a content creator and marketer, I’ve used AI to brainstorm ideas, outline articles, and even craft headlines. The amount of time saved is incredible, and the quality? Surprisingly impressive.
2. Makes Complex Tasks Simpler
Generative AI can break down complex topics in a way that’s easy to understand. Need a legal contract explained in layman’s terms? Want to translate technical jargon into plain English? These tools handle it with ease.
3. Personalized Learning & Education
Students can now learn at their own pace. By using AI tutors, they can ask questions without fear of judgment. The AI can explain concepts repeatedly, using different examples until the student understands.
I’ve used AI to learn everything from basic coding to marketing analytics. It’s like having a personal tutor on call 24/7.
4. Creativity Unleashed
From writing poems to generating music and digital art, Generative AI opens new doors for creatives. Tools like Midjourney and DALL·E can turn text prompts into stunning visuals, enabling artists and designers to prototype ideas faster.
Even if you’re not a designer, AI allows you to express creative ideas that were once limited by skill or time.
Other Strong Contenders
Of course, Generative AI isn’t the only star. Depending on your needs, other AI technologies may be more relevant:
1. Computer Vision
Used in facial recognition, self-driving cars, and even medical imaging, computer vision helps machines “see” and interpret visual data. It’s especially impressive in healthcare — detecting tumors or analyzing X-rays faster than human doctors.
2. Predictive Analytics
In fields like finance or retail, predictive AI models help forecast market trends, customer behavior, and risks. For example, e-commerce stores use it to optimize inventory and pricing.
3. Robotic Process Automation (RPA)
RPA is transforming back-office tasks. Think invoice processing, data entry, and compliance monitoring — all done without human intervention. It’s particularly useful in banking and insurance industries.
Choosing the “Best” Depends on Your Goals
So, what is the best type of AI technology you have used?
While my personal answer is Generative AI, the truth is — “best” is subjective. If you’re a doctor, AI in medical diagnostics may be the best tool you’ve ever used. If you’re in logistics, AI-powered route optimization might be the game-changer.
That said, the reason Generative AI wins my vote is its versatility and accessibility. You don’t need to be a developer to use it. It’s helpful for students, writers, marketers, researchers, and everyday users alike.
What the Future Holds
We’re just scratching the surface of what AI can do. The AI technologies available today will look primitive five years from now. With advancements in multimodal AI (like combining text, voice, images, and video into a single interface), we’ll soon be having fully immersive and intelligent interactions with machines.
Ethics, privacy, and responsible use will also play a big role in how these technologies evolve. But one thing’s for sure — AI will be central to how we live, work, and create in the future.
Final Thoughts
To wrap it up, if you’re still asking yourself, “What is the best type of AI technology you have used?”, consider the value it brings to your life — does it save time, simplify tasks, help you grow, or unlock creativity?
For me, the clear winner is Generative AI, especially large language models. They’ve changed how I think, create, and communicate. And the best part? They’re just getting started.
If you haven’t explored AI tools yet, now’s the perfect time to dive in. Start small. Ask questions. Create something new. You might just find your own answer to that question — and it could surprise you.
