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Jaspreet Bindra
Eminent Speaker

Jaspreet Bindra

Founder, AI & Beyond, Tech Whisperer Ltd

Day 1 · Keynote Address
Intelligence has been commoditised. It is available on tap.
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Session recap

Jaspreet Bindra opened with a self-effacing line about being "the 135th AI session you've sat through" — and then delivered something deliberately provocative, structured around six assertions distilled from his years working in enterprise AI, teaching at Ashoka and Singularity University, and writing for the Economic Times, Times of India and Mint. His framing was historical: every major revolution — agricultural, industrial, information — has been triggered by tools that change how humans work and live. We are now past the cusp of the next one. "Intelligence has been commoditised. It is available on tap." He walked the audience through the AI lineage from the 1956 Dartmouth conference to AlphaFold (which Demis Hassabis won the Nobel for), arguing that generative AI is the first technology born of language — and language is what made humans the pole species. Two language-based species now share the planet. From there, he built his case that AI is "not just another technology": English has become the new coding; voice is becoming the new UI; SaaS is being eaten by service-as-a-software; teams are now humans plus agents (his own company, AI&Beyond, has three humans and operates like a 25-person firm); the IT function will become "the HR of AI agents"; and the bottom rung of the job ladder is breaking — first in the very tech industry that built AI, next in BFSI, marketing, HR. His call to faculty was sharp: stop teaching AI as a tool, teach it as a colleague. Move from human-in-the-loop to AI-in-the-loop. Embrace AI literacy, oral communication, disciplinary depth, and team imperfection. The future of work is "jobs of the heart" — empathy, taste, judgment, craft, common sense, ethics. And the future MBA is one who can become a 10x version of themselves with AI. He closed with the story of Sabri, a fully visually-impaired Ashoka student in his Literacy in the Age of AI course, who used Google AI Studio to build a WhatsApp accessibility widget during a 2-hour break — and is now building Riz Vision, the first e-commerce experience built for blind shoppers. "If Sabri can do this, who are we to say we cannot?"

Editorial summary compiled by the FDP team — not a verbatim transcript. Spotted an inaccuracy? Let us know.

A tree has been planted in Jaspreet Bindra's name in the Sundarbans as part of Jaipuria's green-certificate initiative. The plantation is geotagged and trackable — certificate emailed.

Green honour

A tree planted in his name

A Bountiful Tree at Trees for Tigers, Sundarbans National Park

As a token of gratitude for Jaspreet Bindra’s presence at the 14th Annual Faculty Development Programme, Jaipuria Institute of Management has planted a tree in his honour. This tree will provide flowers, fruits, fodder and fuel to living creatures and help improve water catchment areas in the Sundarbans tiger habitat.

Planted on
9 May 2026
Certificate №
5533730
Green Certificate honouring Jaspreet Bindra with a tree planted at Trees for Tigers, Sundarbans National Park

Geo-tagged green certificate · issued by Grow-Trees.com

Key takeaways for faculty

  1. 1

    Teach AI as a colleague, not a tool

    Apply the same human judgment you would with a co-worker — filter for bias, verify, don't overshare. Once that frame switches, everything from prompting to assessment design changes.

  2. 2

    English is the new coding

    Every prompt is code, written in natural language. The 8 billion potential coders this opens up is the most underestimated shift of the decade — design curriculum around that.

  3. 3

    Move from human-in-the-loop to AI-in-the-loop

    Stop putting humans inside AI workflows. Bring AI inside human workflows. The goal is the 10x faculty member, the 10x student, the 10x professional.

  4. 4

    Design AI-proof assessments, and teach AI skills explicitly

    Make AI use visible in your own teaching. Trying to ban it has already failed everywhere it has been tried.

  5. 5

    Build curriculum around what AI can't do

    Empathy, taste, judgment, craft, common sense, ethics, oral communication, disciplinary depth, team imperfection. These are the "jobs of the heart" that survive.

  6. 6

    Embrace the imperfection of teams

    Stop chasing the perfect group assignment. Life is imperfect — even when you do everything right, things break. Students must learn to handle loss in teams.

Speaking at One Jaipuria FDP

  • We are already in the age of AI — not entering it. Intelligence is now a commodity; curiosity is the differentiator.
  • AI is not just another technology — English is the new coding, voice is the new UI, SaaS is being eaten by service-as-a-software, and the demise of the app store has begun.
  • The greatest impact of AI will be on work and jobs — the bottom rung of the ladder is breaking first in tech, next in BFSI / marketing / HR. New teams = humans + agents.
  • Jobs of the heart will remain — empathy, taste, judgment, craft, common sense, ethics. The "what" matters more than the "how"; the "how" is now cheap.
  • AI literacy must precede AI investment — every organisation, academic or corporate, needs people ready to receive AI before it spends on AI.
  • The student of the AI age is a different species — and education must evolve. AI as augmented intelligence, not artificial intelligence.

Q&A captured

Q. Pallavi Srivastava (Professor, HR & OB): What boundary should we draw when conversing with AI — when it asks for personal information, photos, voice?

Prompt engineering is being replaced by context engineering — the more context you give AI, the better its answers. But the rule is simple: think of AI as another human being. You don't tell a co-worker everything about your personal life. Use the same human judgment as a filter. And remember — no human colleague is unbiased; AI won't be either. Use the same filters to manage that.

Q. Ashutosh Pandey: English is the new coding — but only English?

Mostly English, yes — 80% of the internet is English, and 95%+ is English plus Chinese. AI's token structure is built for English; using Hindi will burn 3-4× more tokens. Teams like Sarvam are doing valuable work to bring 10 Indic languages plus Sanskrit to parity, but for now English remains the default. That will shift over time.

Q. Darshan: In the context of publication — should we declare when we use AI?

Did anyone declare when they used Google? No. Scientific calculators were resisted before they became inevitable. Same here. But yes — for now, while we adjust, declare it. My second book, Winning with AI, names the AI tool used at the end of every chapter. Readers tell me they couldn't tell — because my voice was always evident. That's the test.

Q. AI is taking jobs — but how many is it creating, and which ones?

If I knew the answer, I'd be sitting next to Sam Altman, Demis Hassabis, and Geoffrey Hinton. Did anyone in 1998 know there would be SEO specialists, online reputation managers or digital marketers? No — and there are millions today. The honest answer is: we don't know. What we do know is that human beings are very good at working in uncertainty. That's what we have to teach.

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