The India AI Brief

What happens when AI stops recommending products and starts shopping for you?

AI agents could help us compare products, navigate websites, and eventually complete purchases. But retailers have their own rules about who can access their platforms and act on a customer’s behalf.

In this episode of The India AI Brief, we explore the reported Amazon-Meta dispute over AI shopping agents, the difference between using AI for shopping research and handing it the power to act, and why control over the shopping experience could become a bigger question for the internet.

We also look at the three levels of delegation: asking AI to help you decide, asking it to take action, and letting it decide and act within limits.

The takeaway: AI shopping is not just about finding the right product. It is also about who controls the journey from recommendation to purchase.

Less hype. More context. Let's figure it out together.

Google's Gemini 4 Argon is designed to do more than answer questions. It targets complex, multi-step tasks across coding, scientific research, finance and other professional fields.

In this episode of The India AI Brief, we explore how AI is moving from generating answers to completing entire workflows, what Google's reported results tell us, and why reliability, human oversight and cost matter as much as raw model performance.

Can AI actually do the work, or are we still a long way from trusting it to deliver?

Sources mentioned

• Google's official Gemini 4 Argon announcement: https://blog.google/intl/en-in/products/introducing-gemini-4-argon/

• Google Cloud AI updates: https://cloud.google.com/blog/

• Independent reporting from Reuters: https://www.reuters.com/

A note on the evidence

Performance figures discussed in this episode should be interpreted in the context of their specific tests and environments. Company-reported improvements do not guarantee equivalent results across other workloads.

About the show

The India AI Brief explores important AI developments, emerging tools and research, and what they mean for founders, builders, businesses and professionals.

Hosted by Balaji Rao.

Anthropic's Claude Mythos 5 has reportedly designed quantum circuits that use up to 17 times fewer computational gates than previous designs. How did it do this, and what does it tell us about AI's role in scientific discovery?

In this episode of The India AI Brief, we explore Anthropic's research into AI-designed quantum circuits, how the model proposed and tested new designs, and why balancing computational operations against qubit requirements matters. We also look at two striking results, what the research actually demonstrates, and why better algorithms don't automatically mean practical quantum computers are here.

Based on Anthropic's published research. The findings and their limitations are discussed in the episode.

Sources
• Anthropic research: https://www.anthropic.com/research/designing-efficient-quantum-circuits
• Research paper: https://arxiv.org/abs/2610.22367

What if the best AI product ideas aren't about doing existing tasks faster, but making something valuable possible for the first time?

In this episode of The India AI Brief, I explore findings from Anthropic's report, What 81,000 People Told Us About the Economics of AI, and what they might mean for people building AI products.

We'll look at the difference between adding AI features and solving real customer problems, why generating an answer isn't the same as delivering an outcome, and a simple exercise to identify opportunities worth exploring before you build.

Your takeaway: List three things your target customers struggle to accomplish, then speak to five potential customers before building anything.

Less hype, more context. Let's figure it out together.

Sources

• Anthropic, What 81,000 People Told Us About the Economics of AI: https://www.anthropic.com/research/81k-economics

• Anthropic, Economic Index: New Building Blocks for AI Use: https://www.anthropic.com/research/economic-index-primitives

Everyone is experimenting with AI, but turning a promising demo into something people actually use is a different challenge.

In Episode 2 of The India AI Brief, we explore why AI experiments don't always translate into useful business tools, what it takes to move from a working demo to a reliable workflow, and how to identify tasks where AI can make a real difference.

In this episode:

• Why an impressive AI demo can struggle in everyday use

• How to identify repetitive tasks that are worth automating

• Three practical steps to test whether AI actually saves time

• What this means for founders building AI products for specific industries

• A simple experiment you can try this week to improve one of your own workflows

The episode also draws on perspectives about AI adoption and implementation from Infosys co-founder Nandan Nilekani, alongside research and reporting on enterprise AI adoption.

Sources & further reading

1. Infosys Investor AI Day 2026: AI Transition Is Different
   Original presentation: https://www.infosys.com/investors/news-events/analyst-meet/2026/india/ai-transition-different.pdf
   Transcript: https://www.infosys.com/investors/news-events/analyst-meet/2026/india/transcripts/ai-transition-different.pdf

2. Dell Technologies: AI resources for businesses
   https://www.dell.com/en-in/dt/ai-prime/ai-for-business-blogs.htm

Less hype, more context.

The India AI Brief is hosted by Balaji Rao.

Indian AI startups are attracting more investment, but what does that money tell us about where the industry is heading?

In Episode 1 of The India AI Brief, Balaji Rao explores India's AI startup funding boom, Meta's latest model announcements, and HCLTech's partnership with Anthropic.

We'll look at why investors are interested in AI applications built for specific industries, what major companies are trying to achieve, and why funding alone doesn't guarantee a successful business.

Less hype, more context. Let's figure it out together.

Sources:

Inc42: https://inc42.com/features/indian-ai-startup-funding-surges-265-yoy-in-q3-will-momentum-continue/

Meta: https://about.fb.com/news/2026/10/introducing-muse-wonder-models/

HCLTech: https://www.hcltech.com/en-us/press-releases/hcltech-and-anthropic-sign-global-premier-partnership-scale-governed-agentic-ai

Keeping up with AI has started to feel like a full-time job.

Every time I open Twitter, Instagram or any other platform, there's a new model, a new tool, or someone saying AI is going to change everything. It's exciting, but honestly, it can get overwhelming trying to figure out what actually matters.

I'm starting The India AI Brief partly to make sense of it all myself. I want to keep learning, experiment with new things, and share what I find along the way.

We'll explore the latest AI developments, interesting things happening in India's AI ecosystem, and new tools and ideas worth paying attention to.

If you're building something, working with AI, running a business, or simply curious about where all of this is going, I hope you'll join me.

Less hype, more context. Let's figure this out together.