Ankur Indian

Future is Agentic.
#FullStackMarketingLead #Martech #big4
#Views : Nothing Official About it, Straight Forward and unapologetically personal.

[Harvard Business Review @HarvardBiz]

Social science studies have shown that international experiences can enhance creativity, reduce intergroup bias, and promote career success. https://t.co/obP4dw9KIa

[Harvard Business Review @HarvardBiz]

Smart people often forget that relationship-building is important, too. https://t.co/ZGlkdChgk9

[divyansh tiwari @DivyanshT91162]

Someone built an AI job-hunting agent for Claude Code… and it applied to 700+ jobs before landing him an actual offer. 🤯

Now the entire thing is open source.

It can:
• scan career pages across dozens of companies
• rewrite your resume for every role automatically
• generate ATS-optimized PDFs with Playwright
• fill out job applications on its own
• track everything from a Go-powered terminal dashboard

The repo ships with 14 different modes for scraping, evaluation, PDF generation, automation, and more.

And it already supports 45+ companies out of the box:
Anthropic, OpenAI, ElevenLabs, Stripe, and many others.

This is starting to feel less like “job searching” and more like deploying an autonomous agent to do it for you.

REPO👇

[Anthropic @AnthropicAI]

We're launching the Anthropic STEM Fellows Program.

AI will accelerate progress in science and engineering. We're looking for experts across these fields to work alongside our research teams on specific projects over a few months.

Learn more and apply: https://t.co/MoF60j53pX

[Andrew Ng @AndrewYNg]

There will be no AI jobpocalypse.

The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it.

I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines.

Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%.

Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable!

Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more.

Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus.

To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market.

Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades.

Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have).

Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future!

[Original text in The Batch newsletter.]

[Zeb Evans @DJ_CURFEW]

Today we reduced headcount by 22%. The business is the strongest it's ever been. So I think it's important to be direct about what I'm seeing and why.

First, I made this decision and I own it. I did it because the way to operate at the highest level of productivity is changing, and to win the future, ClickUp needs to change with it.

Second, this wasn't about cutting costs. Most savings from this change will flow directly back into the people who stay. We'll be introducing million-dollar salary bands. If you create outsized impact using AI, you'll be paid outside of traditional bands.

Most importantly, I have the deepest gratitude for those affected. We're doing this from a position of strength specifically so we can take care of people properly. Everyone affected receives a package aimed at honoring their contributions and easing the transition.

I only see two options: wait for this to play out gradually in the market or be honest about what I'm seeing and act proactively.

THE 100X ORGANIZATION
The primary change is that we're restructuring around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago.

Incremental improvements to existing systems won't get us there. We need new ones. That means creating enough disruption to rebuild rather than iterate on what's already broken.

The common narrative is that AI makes everyone more productive. It doesn't. Many of the workflows of today, if left unchanged, create bottlenecks in AI systems.

These roles will evolve. But waiting for that to happen naturally means falling behind now.

The 100x org is actually heavily dependent on people - infinitely more than today. This is only possible with 10x people that have embraced and adopted new ways of working.

THE BUILDERS, AGENT MANAGERS, AND FRONT-LINERS

— THE BUILDERS: 10X ENGINEERS
I don't think most companies have internalized what's actually happening with AI in engineering. The common narrative is that AI makes all engineers more productive. That may be true in isolation, but at an organization level - that is the farthest thing from reality.

Here's what we've validated recently at ClickUp: the great engineers, the ones who can orchestrate, architect, and review, are becoming 100x engineers. They're not writing code. They're directing agents that write code. The skill is judgment.

AI makes the best engineers wildly more productive, and everyone else using AI slows these engineers down.
Think about it - the bottlenecks are (1) orchestration - telling AI what to do, and (2) reviewing - what AI did. Everything is leapfrogged and no longer needed.
So who do you want orchestrating and reviewing code?

And how do you want your best engineers to spend their time?

If your best engineers are spending time reviewing other people's code, then this is inherently an inefficient bottleneck. These engineers can review their agent's code much faster than reviewing human code.

The new world is about enabling your 10x engineers to become 100x.

The wrong strategy is to push every engineer to use infinite tokens. Companies doing this are celebrating 500% more pull requests. But customer outcomes don't match the volume of code being generated.

I call this the great reckoning of AI coding, and every company will face this soon if not already.

More code is just another bottleneck to the best engineers, and ultimately to your company's impact as well.

— THE BUILDERS: 10X PRODUCT MANAGERS
Product management and design roles are merging.

Designers that have customer focus, become more like product managers.

And product managers that have intuition for UX become more like designers.

The bottleneck of user research is gone. It takes us just one mention of an agent to kickoff research and analyze results.

The bottleneck of product <> design iteration is also gone. The product builder iterates on their own, along with agents and skills that ensure alignment with quality and strategy.

Also controversial today - I believe that the wrong strategy is to have your PMs shipping code - that just introduces another bottleneck that the best engineers will waste their time on.

To be clear, PMs should be coding but they should do this in a playground to iterate, validate, and scope. That code should not go to production.

Everything outside of managing systems, orchestrating AI, and reviewing output becomes a bottleneck.
That's why the other roles that are critical along with these are the systems managers (to reduce bottlenecks) along with a bottleneck you can't replace - customer meeting time.

— THE SYSTEM MANAGERS
Ironically, the people that automate their jobs with AI will always have a job. They become owners of the AI systems - agent managers. We have many examples of these people at ClickUp.

The underlying systems in which we operate are absolutely critical to get right. I think most companies are delusional to think they can iterate on existing systems and compete in this new world.

You must create enough disruption so that old systems are deprecated entirely. If there's any definition for 'AI native' that's what it is.

— THE FRONT-LINERS
In a world that will become saturated with AI communication, the human touch will matter more than anything to customers.

This is a bottleneck that you shouldn't replace - even when agents are high enough quality to do video meetings.

One-on-one meeting time with customers is something that shouldn't be automated. The systems around the meetings should be - so that front-liners spend nearly 100% of their time with customers.

REWARDING 100X IMPACT
In a world where companies are able to do so much more with less, where does that excess money go?
In our case, much of the savings in this new operating model will flow directly back to those that enabled it.

We must reward people that create productivity accordingly. This aligns incentives on both sides. Plus, in a world where your best people create 100x impact, you can't afford to lose them.

You should aim to retain these employees for decades. The context they have and their ability to efficiently orchestrate and review will be nearly impossible to replace.

Compensation bands of today should be thrown out the door. We're introducing $1 million cash/year salary bands with a path available to nearly everyone in the company if they produce 100x impact by creating or managing AI systems.

THE FUTURE
Nearly every company will make changes like these. The ones that do it proactively will define what comes next.

The future is not fewer people. It's different work, new roles, and better rewards for those who embrace it. We're already seeing entirely new roles emerge, like Agent Managers, that didn't exist a year ago.

ClickUp is positioning to lead this shift, not just internally, but for our customers too. I've never been more certain about where we're headed.

[Ankur Indian @beyond_0]

The Autonomous Enterprise in the AI Era: What CIOs Need to Know https://t.co/k1WTKjXKja

[Ankur Indian @beyond_0]

Claude for Legal connects Claude to legal tools, documents, research platforms and practice workflows. Learn what it offers, where it helps and what risks legal teams should manage. https://t.co/3tU7k2sznr

[Ankur Indian @beyond_0]

Doing AI right with Governance, is right.

https://t.co/nxWeGbQ3qc

[Ankur Indian @beyond_0]

Good Read on How to Digitize India. Thanks Prof Setia.

https://t.co/g5Ys6T5ssF

[Akshay 🚀 @akshay_pachaar]

https://t.co/Exoyd8tB0d

[ETMarkets @ETMarkets]

#OlaElectric shares surge 35% in 3 days as #EV momentum accelerates
#ETMarkets

https://t.co/QAPdzywVm0

[DogeDesigner @cb_doge]

🚨 WhatsApp’s “end-to-end encrypted” privacy is a total lie.

New class-action lawsuit just dropped: Meta secretly let employees, contractors like Accenture, and third parties read, intercept, and store your private messages WITHOUT consent.

All while marketing it as “only you and the recipient can read it.”

Zuck lied to billions. Your chats were never safe.

[Ankur Indian @beyond_0]

OpenAI partners with Smartly to bring conversational ads to ChatGPT https://t.co/BLI58ou5ZC

[Ankur Indian @beyond_0]

HOW TO LEARN &amp; Master AI in 2026 ? (Complete Powerful 7-step ROADMAP) https://t.co/Jd4LZCMEuF via @YouTube

[Satya Nadella @satyanadella]

Announcing Copilot Cowork, a new way to complete tasks and get work done in M365.

When you hand off a task to Cowork, it turns your request into a plan and executes it across your apps and files, grounded in your work data and operating within M365’s security and governance boundaries.

[Akash @Akasheth_]

Top 16 accounts you should follow if you’re into AI:

@AndrewYNg - beginner friendly AI
@levelsio - builds solo
@karpathy - explains AI simple
@fchollet - deep AI thoughts
@sama - AI roadmap
@emollick - practical AI
@lexfridman - smart podcasts
@ThePrimeagen - dev + AI
@ylecun - research posts
@goodside - AI tricks
@rowancheung - quick AI news
@AnthropicAI - Claude updates
@OpenAI - latest drops
@midjourney - cool AI art
@huggingface - model hub
@cursor_ai - code with AI

If I missed someone, drop their @ in comment

[Ankur Indian @beyond_0]

@Shruti_0810 AI

[Shruti Codes @Shruti_0810]

All Paid Courses (Free for First 4000 People)

Not theory.
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🎯 LLM Mastery (GPT, Claude, Grok)
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[Dr Aniruddha Malpani, MD @malpani]

https://t.co/MgUBtUGvaB is the world's best coach and guide for CBSE students - and it's free