AI Agents and Their Mind-Blowing Use Cases
In one of his interviews, when the host asked Arvind Srinivas, founder of Perplexity, "What's next for Perplexity?", he mentioned an interesting shift in how AI will evolve.
He pointed out that for the past two years, AI has primarily been about providing answers but the real transformation will be when we move from answers to actions
Imagine you are researching about a topic with the help of an AI and once your research is done. You just ask the AI to summarise and create a presentation in google slides
Or picture planning a trip:
"What are some of the best places to visit in February?" → AI gives recommendations.
"Now prepare an itinerary and book everything for me." → AI takes action.
Recently, I wanted to know how to filter emails from a specific account and put them in a specific folder. So I asked Gemini how to do this. Gemini gave me all the steps on how to do it. But then again I had to go and do all those steps manually.
What if, instead, the AI simply executed the steps for me? No need to navigate settings or perform tedious manual work—it just gets done.
This shift—where AI doesn’t just give answers but actually completes tasks—is where AI agents come in.
This act of AI doing a task for you is what I would refer to as AI agents.
So what Exactly Are AI Agents?
You can think of AI agents as intelligent digital assistants that:
✅ Have a clear goal.
✅ Take autonomous actions to achieve that goal.
✅ Interact with one or multiple apps to complete tasks on your behalf.
If AI can start taking actions for you, I feel this is going to have a massive impact—both at work and in everyday life.
So let’s explore the potential of AI agents and their mind-blowing use cases. 🚀
Brands Advertising to agents
In the same interview, Arvind Srinivasan talks about how in future brands might be advertising to your agents and not you directly, which was very fascinating to hear.
Since agent will doing all the work for you in terms of browsing the web, purchasing and making buying decisions. Then agents are the ones who will be seeing the ads.
It will be interesting to think about how the advertising dynamics would play out when this happens.
Because ads target human psychology and rely on emotional triggers but with agents how will the advertising shift to. Will it be about pure numbers game where brands compete solely on best price, highest quality, and top reviews?
Agents talking to each other and sharing insights
One of the most fascinating use cases for AI agents in future is going to be how different agents can share information between them and can communicate insights without human intervention
In future you might have multiple agents for different purposes and they can talk to other. Let me share an example to help you understand better—this one is straight out of ChatGPT 😊
Example
A Health Agent tracks your daily activity, meals, and sleep.
Your Work Agent notices you're often sluggish in morning meetings.
They communicate, and the Health Agent suggests tweaking your morning routine or sleep cycle to optimize your performance.
Eventually, your AI-generated calendar could schedule tasks based on your peak energy levels
In future instead of reacting to problems, your AI agents proactively shape your day, ensuring every moment is optimised for peak efficiency and well-being
You are recruited not just for your skills but the kind of agents that you have
This is something Satya Nadella proposed in one of his interviews, highlighting how in future you will be recruited by not just for your skills but how you can deploy your own agents and leverage them
Everyone has their own strengths at work. In coding, for example, one person might excel at debugging issues quickly, while another might specialise in designing systems that scale efficiently
Each person can codify their strengths and build AI agents tailored to their expertise. Someone skilled at debugging could create an agent that excels at identifying and fixing issues.
In the future, companies may prioritize hiring individuals based on the specialized AI agents they bring with them.
Your AI stack becomes your new resume. Those who develop, refine, and personalize their AI agents might have a competitive edge
Rise of conversational UI’s when agents operate at scale
Let’s say I want to order something from the Swiggy app. Instead of navigating the interface, what if I could simply tell an AI agent to place the order for me? The UI becomes entirely conversational—just like talking to an assistant that books everything on my behalf.
Or take another example:
"Find me product manager roles at startups with 50+ employees in Bangalore. Apply with my latest resume but tweak it based on each job description."
What happens?
The AI agent scans job boards, customizes your resume for each listing, and submits applications automatically. It even schedules interviews and prepares you with AI-generated likely questions.
In the future, interacting with AI agents will likely replace much of our direct engagement with traditional app UIs. Instead of manually clicking through options, you’ll simply converse with an agent that executes tasks for you.
Probably 80% of the time, interactions will happen through a conversational UI, while the AI agent does the heavy lifting—fetching results from apps, analyzing options, and presenting them in the most effective format.
Sometimes, it might respond via voice; other times, it will generate a visual UI when details need to be reviewed at a glance
Agents negotiating on your behalf
The below tweet explains everything 😁
Imagine having an AI agent in the future that could negotiate your salary or rent, securing the best possible deal for you
When it comes to negotiating a salary
The agent scans industry benchmarks and compares your offer to similar roles in the market.
It identifies leverage points—your experience, competing offers, and company pay structures.
It negotiates directly with the company’s HR AI, countering offers with data-backed justifications until an optimal deal is reached
Earn from your agent
What if, in the future, you could codify your expertise into an AI agent and monetize it?
For example, if you're exceptional at negotiating job offers, you could build an agent that negotiates salaries. Thousands of people struggle with negotiation, and your AI agent could help them secure better offers.
You could sell this agent as a subscription, charge based on usage, or offer it as a one-time purchase.
This opens up an incredible opportunity where people can monetize their expertise—whether in career negotiation, stock trading, legal contract reviews, personal finance planning, or countless other fields.
Agents testing product ideas from start to finish
What if AI agents could not only validate product ideas but also discover and build them from scratch?
An AI agent could continuously analyze market trends, identify gaps, and generate business ideas. Once it finds a promising concept, it develops the product, creates a marketing strategy, and finds early users—all without human intervention
Probably human steps in to see if it’s worth continuing
You become infinitely scalable
Imagine an AI-powered replica of you, trained on your knowledge, preferences, expertise, perspective, and decision-making patterns—thinking and acting just like you.
This would be incredibly useful for people who want to tap into your expertise and insights.
For example, if someone at work wants mentorship but you don’t have the time, your digital clone could mentor multiple people at scale.
Or if a team needs your perspective in a meeting but you’re unavailable, your digital clone could attend on your behalf, ensuring your insights are represented.
I believe creating a true digital clone that thinks and acts like you will be incredibly challenging. But if we achieve it, it could unlock game-changing possibilities in the future
These were just a few exciting possibilities with AI agents. If you have other interesting use cases in mind, let me know in the comments!