We Built AI. Did We Build the Wisdom to Use It Responsibly?

 

Somewhere in the last two years, the conversation about AI shifted, and you must be questioning me here. “Honey, we know this. What is new in this article?”

Well, it used to be about possibility. What can it do? How fast can it go? What becomes possible that wasn't before? Those are still real questions. But increasingly, the question underneath all of them is starting to surface: What kind of world are we building with this?

I've spent decades in technology, building platforms for civic safety, environmental conservation, hunger relief, and governance. What I've learned, slowly and sometimes the hard way, is that technology is never neutral. Every system reflects a set of choices. And every set of choices reflects a set of values, whether the builder was conscious of them or not.

The scale at which AI now operates makes this more urgent than any previous moment in technology history. When a biased algorithm was running inside one company's hiring tool, the harm was contained. When an AI system operating on those same biases is deployed across thousands of companies simultaneously, the harm scales identically. The efficiency of AI applies to mistakes as efficiently as it applies to progress.

MIT Sloan researchers studying enterprise AI adoption found something striking: most organizations are adopting AI without first asking what their own values are. They have product roadmaps. They have deployment timelines. What they don't have is a clear answer to the question: What do we actually stand for, and does this system reflect that?

The failures that have emerged from AI deployments are rarely technical. The McDonald's AI hiring platform that exposed 64 million job application records wasn't brought down by a sophisticated attack; it had a default password of "123456" and no two-factor authentication. The lesson wasn't about AI. It was about governance. About who owns responsibility for these systems when they touch real people's lives.

Here's what I believe, for whatever it's worth after 25+ years of building technology with a social conscience:

The organizations that will earn lasting trust in the AI era are not those who move fastest. They are those who can answer a simple set of questions before they deploy: Who is accountable when this system is wrong? What values is this system optimizing for—and whose values are those? What do we do when the outcome is technically correct but ethically questionable?

These are not philosophical questions. They are operational ones. And right now, most organizations don't have answers.

The EU's proposed Digital Fairness Act, regulatory conversations happening globally, and the lawsuits now going to trial—these are not obstacles to AI. They are the world asking the question that builders should have been asking first. Society is filling the wisdom gap that the industry left open.

I don't think AI is the threat. I think the absence of deliberate thought about what we're building is.

The most powerful tools in history have always required the most careful hands. Fire, the printing press, and the internet each transformed the world, and each caused harm in proportion to how unconsciously it was deployed. AI is no different, except that it's faster, broader, and less transparent than anything that came before it.

We spent years perfecting the engine. It's time to talk seriously about where we're driving.

If your organization deployed an AI system tomorrow and it caused harm, who, specifically, is accountable? Not the vendor. Not the algorithm. A person. Do you know that person's name?

The Hidden Emotional Cost of Financial Convenience.

 

जितनी चादर, उतने पैर फैलाओ।

We all grew up hearing this. You earn this much, and you spend this much. Simple. Clean. But somewhere in the last few years, the chaadar got... unlimited.

Namaste India,

I was discussing my latest LinkedIn article, 31°C night in Indore, with my team recently. Every AC running that night was cooling one room inside and pumping heat directly onto the street outside.

The more the city heats up, the more ACs we run. The more ACs we run, the hotter the city gets outside. And the more ACs available on easy EMI, the more we buy without thinking twice.

EMI made things possible that weren't before. But quietly, it also made things disposable.

A young person on a new bike, riding like the road owes him something. No helmet. No hesitation. Because somewhere in the back of his mind, if something happens, it's the same EMI, different model, next month.

When something is too easy to replace, it becomes too easy to risk.

The EMI shows up every month, whether work was good or not, whether life cooperated or not.

Beneath the office pressure, family expectations, and social comparison are three or four commitments that cannot be paused. Cannot explain it.

Suicide is now the leading cause of death among Indians aged 15 to 29. Financial instability is among the primary reasons.

Growth is good. In fact, growth is necessary. But somewhere we forgot that the journey matters more than the destination. Arriving stressed, anxious, and exhausted, for me, that isn't success. That's just a very expensive way to be unhappy.

जितनी चादर उतने पैर फैलाओ.

The chaadar didn't get bigger.

We just stopped counting.

The World Doesn't Need Your Filtered Version.

 

You Know That Thing You've Been Meaning to Say?

Say it.

Not tomorrow. Not when the moment feels right. Not after you've softened it enough to make everyone comfortable.

Now.

I've been thinking about this a lot lately: how many conversations we leave half-finished. How many opinions we swallow because the room doesn't seem ready. How many decisions we delay because the timing isn't perfect.

And the timing is never perfect.

Here's what I've come to believe, genuinely, after years of watching people build things, lead teams, and navigate life:

The people who add something real to the world are rarely the loudest. They're rarely the most polished. But they are almost always the most honest, with themselves first, and then with everyone around them.

That kind of honesty is uncomfortable. It means saying the unpopular thing in the meeting. It means starting over when something isn't working, even when you've already invested too much to want to admit it. It means following what you actually believe, not what looks right from the outside.

But here's what that honesty gives back: a life that actually feels like yours.

Not a version of it you built for someone else's approval.

जितना हो सके, उतना सच रहो।

To yourself. In your work. In what you say.

The world gets a little more beautiful every time someone does.

Is there something you've been holding back, an opinion, a decision, a direction, because it didn't feel like the right time?

Maybe it is.