Ankit Agarwal
1.3K posts

Ankit Agarwal
@ankit_agarwal7
Leading Engineering and AI at theCut. Founder of @optionupapp, the world’s best wealth management platform. If you’re not investing, you’re losing money.

$AMZN AWS CEO on the impact of AI on jobs: "I can tell you we are hiring just as many software developers as we ever had inside of Amazon. And in fact, I see the demand for that really accelerating...Amazon is hiring 11,000 new SDE interns and full-time employees this year. That is not jobs going away"






Shocking stat of the day: AI-related stocks now reflect a record 45% of the S&P 500's market cap. This percentage has surged +20 points since November 2022, when ChatGPT was launched. Furthermore, a record 15.4% of investment-grade debt is now tied to AI, making it the largest sector in the US credit market. This percentage has risen +3.5 points since 2020. This comes as AI-linked debt has nearly DOUBLED over this period to an all-time high of $1.4 trillion. Never before has a single theme dominated both US equity and credit markets to this magnitude.

Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see. @eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)


So many of our problems could be fixed by properly funding public education.




"Tech job openings rebounded sharply in 2026, challenging popular narrative that AI is wiping out engineering roles...more than 67,000 software eng job openings, highest level in 3 years. Listings have doubled since a trough in mid-2023." businessinsider.com/ai-isnt-killin…

1. Employer recovery from post-COVID hiring correction 2. Employer recovery from post-COVID interest rate spike 3. Elasticity = demand boom QED



Jevons paradox is happening in real time. Companies, especially outside of tech, are realizing that they can now afford to take on software projects that they wouldn’t have been able to tackle before because now AI lets them do so. We’re going to start to use software for all new things in the economy because it’s incrementally cheaper to produce. Marketing teams at big companies will have engineers helping to automate workflows. Engineers in life sciences and healthcare will automate research. Small businesses will hire engineers for the first to build better digital experiences. And as long as AI agents still require a human who understands what to prompt, how to review when an agent goes off the rails, how it guide back, how to maintain the system that was built, how to fix the ongoing bugs, and more, we will still have humans managing these agents. This is why all the advice you get of not going into engineering is wrong. The world is going to increasingly be made up of software, and the people that understand it best will be in a strong economic position. This will happen in other roles as well where output goes up and demand increases.


Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI






