Jaya Gupta

An extremely pertinent perspective of how things will evolve. Please read.

@JayaGup10 Perfectly reflecting the reality. My first hand experience and what I am experiencing.

Amazing post! If you are young in mind, despite being a senior engg or product or xyz person and are in a place where your superiors are old and fixed in mind - be brave, either leave the place or they will make you leave.

@JayaGup10 The best article on AI you’ll read this week.

@nrmehta ME

If "Office Space" was remade for 2026, it would go something like this... cc @JayaGup10

Very interesting article.

This is deep, critical thinking. Love the take on AI

I am interacting with a lot of very senior engineers and eng leaders who are making the case that their irreplaceable value is “judgement and taste”. I don’t think that it’s as irreplaceable as they think…

Foundational Capital's @JayaGup10 is an incredible writer. Her work on the Context Graph documented a whole new layer in B2B AI. But this post below might be her best and is an important read for businesspeople at all levels. A well-researched cognitive bias is the "endowment effect." We tend to overvalue things we own. This is true in our personal image but it's also true at work. Businesses and employees have always valued "experience." And it made sense in a slow-changing world. One has "seen around corners." One has "watched the movie." At a firm or individual level. Hence, the corporate hierarchy meant "juniors" needed to learn from "seniors." Much like in the apprentice days of yore. Now things have flipped. Early career folks don't have as much of an endowment effect. They didn't build the current world. So they can look at it with fresh eyes. It's not surprise that the vast majority of AI innovation is happening through people in the 20s and early 30s. As Jaya points out, it's not about age. It's just how far you've leaned in. I'd say there is a correlation between the depth with which someone uses AI and their recognition that skills are ephemeral. Psychologically, it's a tough pill to swallow for "experienced" people. You've worked so hard to learn and grow. And for years, that was a positive. All of a sudden the game has changed. Heck - I think about this a lot personally. So many skills I've learned over the years (cough cough... software best practices... cough cough) aren't relevant anymore. Maybe some still are (leadership, culture, branding, sales, etc) But the next release of Opus or GPT might do those too! For me, I think there are three takeaways: 1. For recent grads, it might not seem like it, but now is your time. This is why I'm so inspired by the work @clarashih is doing with the New Work Foundation to help. 2. For employers, it's absolutely ridiculous to cut back on early career hiring. This is where you should be doubling down. 3. For all of us "experienced" folks, all hope isn't lost. But if you don't look in the mirror with humility - and then use that awareness to learn and grow - you'll become less and less relevant over time. There is a win in here for all of us, but it takes letting go of the past to get there.

We work with a lot of young people in our accelerator. It’s a fantastic read with some strong advice. > at a time of widespread disruption, the cost to not knowing the pre-disruption world is massively lowered > ‘I don’t know’ is always valid, now the expectation is you figure it out fast > AI as a whole is moving forward at serious pace, the best talent actively takes time to catch up, to experiment and to stay at the frontier > fail early, fail often. Younger people think mistakes are worse than they are, yet at that age they carry the lowest social cost > don’t become lazy. When the people older than you have no idea what ChatGPT is, don’t take advantage by becoming a slop cannon, and cutting your working time in half > have fun!

@nrmehta made my day

Foundational Capital's @JayaGup10 is an incredible writer. Her work on the Context Graph documented a whole new layer in B2B AI. But this post below might be her best and is an important read for businesspeople at all levels. A well-researched cognitive bias is the "endowment effect." We tend to overvalue things we own. This is true in our personal image but it's also true at work. Businesses and employees have always valued "experience." And it made sense in a slow-changing world. One has "seen around corners." One has "watched the movie." At a firm or individual level. Hence, the corporate hierarchy meant "juniors" needed to learn from "seniors." Much like in the apprentice days of yore. Now things have flipped. Early career folks don't have as much of an endowment effect. They didn't build the current world. So they can look at it with fresh eyes. It's not surprise that the vast majority of AI innovation is happening through people in the 20s and early 30s. As Jaya points out, it's not about age. It's just how far you've leaned in. I'd say there is a correlation between the depth with which someone uses AI and their recognition that skills are ephemeral. Psychologically, it's a tough pill to swallow for "experienced" people. You've worked so hard to learn and grow. And for years, that was a positive. All of a sudden the game has changed. Heck - I think about this a lot personally. So many skills I've learned over the years (cough cough... software best practices... cough cough) aren't relevant anymore. Maybe some still are (leadership, culture, branding, sales, etc) But the next release of Opus or GPT might do those too! For me, I think there are three takeaways: 1. For recent grads, it might not seem like it, but now is your time. This is why I'm so inspired by the work @clarashih is doing with the New Work Foundation to help. 2. For employers, it's absolutely ridiculous to cut back on early career hiring. This is where you should be doubling down. 3. For all of us "experienced" folks, all hope isn't lost. But if you don't look in the mirror with humility - and then use that awareness to learn and grow - you'll become less and less relevant over time. There is a win in here for all of us, but it takes letting go of the past to get there.

@JayaGup10 This particularly struck a chord & has been personally liberating- _The skill is no longer weighing every option before choosing. It is choosing fast, learning fast, and not attaching your identity to the last version of yourself who made the previous choice._

Really enjoyed reading this. I remember Bezos saying the biggest mistake leaders make is treating reversible decisions as irreversible; there is no time more costly to do that than today. On judgment - it continues to be important, especially in high-stakes situations. But less than 5% of them are like that, and if you can be objective and iterative, you will build taste quicker than ever, and be ready for that 5%. Age no bar.

I obviously haven't thought so deeply about this for no reason we've been building the operating system for Agentic Micro Companies for the last few years you can try it here: micro.so

One of the sharpest views I’ve read on AI and it’s impact at work

@SparshAgarwall @AlterMagIndia @WorksInProgMag So cool!

We got a chance to showcase @AlterMagIndia in our favourite journal of ideas @WorksInProgMag. In 1924, a self-taught physicist from Calcutta, teaching at a newly established university in Dhaka, solved a problem that had stumped European physics. He mailed it to Einstein, and changed how we understand matter. His name was Satyendra Nath Bose. Bose never won a Nobel Prize. But his contribution, Bosons, advanced human progress. Bosons change the world by gathering. So do Ideas.