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The Day You Stop Clicking
And why that might not be as good as it sounds. Imagine if all you had to do was say what you wanted… and it was done.
No apps to open. No scrolling. No comparing. No checkout. Just a sentence, and the outcome appears.
That’s the promise of what people are now calling agentic commerce. And at first glance, it feels like the next obvious step. We’ve spent years making things faster, simpler, more seamless. This just feels like the final step.
But the moment you sit with it, something starts to feel off. Because this is not just about making things easier. It is about removing you from the process altogether.
What is being built here is not just convenience. It is decision-making, handed over.
An AI is not simply helping you shop better. It is choosing for you. It decides what to buy, where to buy it from, and how much to pay. And most importantly, it does all of this without showing you the steps in between.
You don’t see the options. You don’t see the trade-offs. You don’t even see what was rejected. You just see the final answer.
And that raises a very simple but uncomfortable question. Who is this system actually working for?
If the agent belongs to the platform, then it is not really your assistant. It is an extension of the platform itself.
That means its incentives are not neutral. It may prioritise certain sellers, certain products, or certain outcomes that work better for the business. And because the process is hidden, you may never realise it.
Earlier, when you searched for something, you could scroll, compare, and question what you were seeing. That friction gave you control. Now, that layer disappears.
You ask once. You get one answer. And that changes the nature of the interaction entirely.
For years, the entire internet has been obsessed with removing friction. Faster checkouts, fewer clicks, smoother journeys. It all sounded like progress.
But friction was doing something important. It slowed you down just enough to think. It gave you space to compare, to doubt, to change your mind.
When you remove that completely, you don’t just save time. You also remove the pause that protects you from bad decisions.
That trade-off is rarely discussed.
To make this system work, you also have to give it a level of permission that most people haven’t fully thought through.
You allow it to act on your behalf. You allow it to access your payment systems. You allow it to remember your behavior and make decisions without checking in every single time.
This is what some people are calling continuous consent. You agree once, and then the system keeps acting.
But that creates a strange gap. You had the intent, but you did not actively approve each action. And if something goes wrong, that gap becomes very real.
Because things will go wrong.
The agent will misunderstand something. It will make the wrong choice. It will optimise for something you didn’t care about.
And when that happens, it’s not clear who is responsible. Is it you, for giving the instruction? Is it the platform, for executing it? Is it the payment system that enabled it?
Right now, there are no clean answers. And yet, companies are moving forward anyway.
Razorpay is betting heavily on this idea as it prepares for its IPO. That is not surprising. Positioning yourself as an AI-first company carries weight right now.
At the same time, OpenAI has stepped back from similar commerce experiments. That contrast is telling. It suggests that while the idea is powerful, the reality is still messy.
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Platforms, in particular, are in a tricky position.
If independent agents become powerful, they could sit outside platforms and compare everything across the market. That would reduce platform loyalty, weaken ads, and change how traffic flows.
So what are platforms doing instead? They are building their own agents, but keeping them inside their ecosystem. In other words, they want the benefits of automation without giving up control.
If this model truly takes off, it will quietly change how the internet works.
People will stop browsing. They will stop comparing. They will stop discovering things the way they used to. And that affects entire business models.
Because today, much of the internet depends on attention, impulse, and influence. An agent does not behave like a human. It does not get distracted. It does not fall for clever design or persuasive nudges.
It simply optimises. And optimisation is not always good for businesses built on human behavior.
The biggest hurdle, though, is not technology. It is trust.
People are comfortable using tools that help them. But handing over decisions is different. It requires a level of confidence that most systems have not yet earned.
In markets like India, where users are highly price-sensitive, even small mistakes matter. A difference of a few hundred rupees is not trivial. It is enough to break trust.
And once trust is broken, adoption slows down very quickly.
At its core, this shift comes down to a trade-off. You get less effort. But you also give up some control.
For small, routine decisions, that trade-off works. Ordering something familiar, repeating a known purchase, handling everyday tasks.
But the moment a decision involves taste, preference, or judgment, people hesitate. Because choice is not always a burden. Sometimes, it is the value.
Agentic commerce will not take over everything overnight. It will start in narrow use cases and expand slowly.
But the direction is clear. The real question is not whether this technology will exist. It already does. The real question is how much of your decision-making you are willing to give away.
Because once you stop clicking…you might slowly stop choosing.
Interested in learning more about AI? Check out our previous coverage here:
This Deloitte Fast 500 Honoree Is Eyeing 7X Growth
On 55,000+ screens in the US, a new cutting-edge AI platform is modernizing the guest experience across industries.
And the company behind it, Edison Interactive, is just getting started. They’ve even opened a new investment opportunity with plans to grow its footprint from 55,000 to 400,000 screens.
Edison’s AI-powered entertainment platform modernizes screens in venues like golf courses and hotels, helping the company earn Deloitte Fast 500 Honoree. Already deployed at premier locations like TPC, Bethpage, and Caesars Entertainment, it opens new revenue streams for operators and Edison. In fact, they’ve already earned $60M to date.
And to grow its footprint 7X, Edison is doing more than just expanding in golf and hospitality. Verizon is partnering with Edison to bring their platform to professional sports stadiums. From there, airplanes, cruise ships, trains, and more await.
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