Ekhlaque Bari

AI Coach helping enterprises and individuals adopt AI | Founder & CEO @ebxdoto | ISB/IIM | Keynote Speaker | AI Masterclasses | Workshops | Consulting.

[Ekhlaque Bari @EB_XdotO]

@PeterDiamandis Your AI experience depends a lot on whether you're consuming commentary or creating outcomes.

[Christopher Webb @cwebbonline]

THE AI BOOMERANG IS REAL

Remember when CEOs told everyone AI was coming for your job? Funny story.

Now companies are quietly rehiring after discovering that chatbots, algorithms, and AI hallucinations aren’t great at judgment, customer service, quality control, or fixing the messes they create.

• Google
• Meta
• IBM
• Salesforce
• Klarna
• Shopify
• Amazon
• McDonald’s

They replaced employees with software and then spent months realizing what the employees actually did.

[Ekhlaque Bari @EB_XdotO]

@sandislonjsak We spent years optimizing for producing more. Now the bottleneck is deciding what deserves to exist.

[Ekhlaque Bari @EB_XdotO]

@PeterDiamandis Turns out replacing jobs is a lot harder than replacing parts of jobs.

[Ekhlaque Bari @EB_XdotO]

@signulll Distribution is becoming way more important than raw intelligence feels increasingly true every month.

[Ekhlaque Bari @EB_XdotO]

@caps_raunak AI is compressing the gap between sounding knowledgeable and being knowledgeable

[Ekhlaque Bari @EB_XdotO]

@dhh People love talking about hustle because it's measurable. Judgment, timing, and relationships are harder to put on a spreadsheet

[Ekhlaque Bari @EB_XdotO]

@sandislonjsak Product thinking was valuable before AI. Now it's becoming impossible to fake

[Ekhlaque Bari @EB_XdotO]

@Prathkum More output has always been easy. Better judgment is still the expensive part

[Ekhlaque Bari @EB_XdotO]

@rohanpaul_ai Interesting that he's focusing on agency more than capability here

[Ekhlaque Bari @EB_XdotO]

For those wondering whether AI will take over all human tasks and decisions, here is your answer.

Look at this photograph. A Chinese spacecraft is returning from space. A red-and-white parachute is descending. Behind it, a full moon fills the sky.

Two decisions made this image possible. Wang Heng, a photographer for Xinhua, decided to be at the landing site in Inner Mongolia with a lens pointed at the sky. Then, in a fraction of a second, he decided to press the shutter at the exact moment the parachute crossed the face of the moon.

I struggle to think how AI will ever make those two decisions.

AI can operate a camera and recognise a moon. The gap is in the judgment about where to be, what to watch for, and the recognition of a moment that will not come again. That is what no training dataset captures.

This applies to professional life in ways most of us encounter every day.

 • A hiring manager sits across from two equally qualified candidates and reads something in one of them that no CV captures and no scoring matrix surfaces.

• A sales leader is three hours into a difficult customer conversation and senses the exact moment to stop talking and let silence do the work.

• A senior partner walks into a board meeting, reads the room in the first two minutes, and decides not to put a proposal that was six months in the making.

AI can rank candidates by competency scores, flag patterns in customer conversations, and model which proposals have the highest probability of approval. These are the things AI does well. It works from patterns. It surfaces what has happened before.

But the hiring manager also noticed that one candidate used a phrase that did not sit right. She cannot name why. The sales leader read something in the customer's posture that told him the relationship was salvageable. The senior partner saw one board member exchange a look with another. None of those signals exists in any training dataset.

Humans know more than they can say. AI knows only what it has been told.

AI can be used to make decisions that are purely algorithmic, such as determining who won the race to the nanosecond. There are several decisions, though, that cannot be purely algorithmic because they involve factors that cannot be captured in algorithms.

AI will make humans sharper, faster and better informed. But for the decisions that turn on a moment, a look, a feeling that something is off or on, will continue to be made by humans.

Wang Heng decided to film the descent of the capsule and also decided to press the shutter at the right moment. No algorithm could have told him either of those.

[Ekhlaque Bari @EB_XdotO]

@0xlelouch_ The "hire back engineers" part feels less like a joke every month.

[Ekhlaque Bari @EB_XdotO]

@rohanpaul_ai Everyone is focused on model intelligence. The bigger question might be how expensive intelligence becomes when it starts taking actions instead of generating text.

[Ekhlaque Bari @EB_XdotO]

@PeterDiamandis This is the version of AI, I think most people can actually get excited about.

[Ekhlaque Bari @EB_XdotO]

@bindureddy The amount of people writing off open source AI feels wildly disconnected from what's actually happening.

[Ekhlaque Bari @EB_XdotO]

People don't learn maps anymore because GPS exists. Language could end up being the same story.

[Ejaaz @cryptopunk7213]

the exact opposite will happen. people will stop learning new languages because ai will translate in real time.

google already has this with live translate, Apple lets you do it with airpods

people tend to choose convenience over hardship when the tech is cheap (and quick) enough to enable it.

we have a while to go until multi-language are actually good enough to understand the various nuance, tones, slang across every language but we’ll eventually get there.

[Ekhlaque Bari @EB_XdotO]

@gregisenberg The part about recognizing the window because you've seen one before hit harder than the AI part.

[Ekhlaque Bari @EB_XdotO]

@0xlelouch_ 2028: congratulations, the AI wrote 2 million lines of code. nobody knows why it works and touching it causes new problems

[Ekhlaque Bari @EB_XdotO]

@haider1 haha

[Ekhlaque Bari @EB_XdotO]

@Chrisgpt The funniest outcome would be Anthropic spending months slowly erasing every lead while everyone is distracted arguing about release names