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Intrinsic Compounding

@soicfinance

Jul 6

In Terminator 2, a T-800 cyborg said “I’ll be back.”

Well, humanoid robots are here – but the time-traveling murder spree seems to be a far -fetched reality. What was once sci-fi is now serious R&D.

Elon Musk even claims Tesla’s new humanoid ‘Optimus’ will be “worth more than the car business”. From lab prototypes to factory floors, 2025 is starting to feel like the dawn of the robot revolution.

So Let’s Dive in 👇

Disclaimer - No, Skynet isn’t online… yet.

First let’s clear up the difference between Robots and Humanoids

Robots come in all shapes – factory arms welding cars, Roombas cleaning floors, drones flying overhead.

Humanoids, though, are robots that look and move like us. Think two legs, two arms, hands, and a “brain.” They’re basically androids designed to navigate a world built for humans
Picture Chitti from Robot – that’s a humanoid. A Roomba or an industrial robot arm? Cool, but not humanoid.

Why build a humanoid ? Why not just use specialized robots?

In a word: versatility

The human environment is made by and for humans. Our tools, buildings, vehicles – all tuned to a two-handed, upright creature of ~5–6 feet height. A humanoid robot can slip into existing jobs with minimal changes. No need to rebuild factories or redesign every tool. You could literally “drop” a humanoid into a car assembly line and it can use the same air wrench the night-shift human does

In short, humanoids are generalists in a world built for Homo sapiens – a jack-of-all-trades robot, rather than a one-trick Roomba.

Read 30 tweets

Intrinsic Compounding

@soicfinance

Jun 30

India’s liquor market looks simple—sell more bottles, bank the cash.

But beneath every peg lies a lot of variables that drives the revenue growth + margin expansion and a re rating cycle in Alcohol Beverage players in India

Here is a 9 block checklist to analyse Alcobev companies in India👇

1. Market & Demand

2. Pricing & Mix

Read 12 tweets

Intrinsic Compounding

@soicfinance

Jun 25

Did you know? India is home to over 1,700 Global Capability Centres (GCCs) that have evolved far beyond back-office support.

Today, they are innovation hubs where cutting-edge R&D and global product development for many of the world's largest companies happen.

Let's dive deeper into why GCC is on a rise and how world's biggest companies in India are doubling down on this trend in India👇

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What is a GCC?

A Global Capability Center (GCC) is an offshore unit set up by a multinational company to manage strategic functions like engineering, R&D, finance, analytics, and cybersecurity directly, not through third-party vendors.

These are not BPOs. They are in-house global hubs.

Think:
--Microsoft India building Copilot features,
--J.P. Morgan India driving AI-based fraud analytics,
--Walmart Global Tech India working on next-gen retail tech.

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The Scale of Growth

India is now home to 1,600+ GCCs, and the number is growing 15–20% year-on-year.

Cities like Bengaluru, Hyderabad, and Pune are hotspots, but Tier-2 cities like Coimbatore and Vizag are rising fast. Over 1.6 million people are employed in GCCs in India.

Leadership roles alone have grown 30% in just 3 years from 5,000 to over 6,500+

Read 19 tweets

Intrinsic Compounding

@soicfinance

Jun 20

From 10,000 to nearly 1,00,000 smart meter installs per day —

India’s power sector is electrifying at scale. Let’s deep dive into this massive opportunity ⚡🧵👇

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Let's understand what is the TAM for smart meters currently

With approximately 3 crore smart meters already installed, a significant opportunity valued at ₹60,000 crores exists for the remaining 23 crore installations. This substantial gap indicates a vast growth runway for industry participants.

The government's website, nsgm.gov.in/en/sm-stats-all, confirms that 30 million smart meters have been installed, providing a live tracker for the implementation of smart meters across India, which aims for a total of 25 to 30 crore installations. This suggests that the "smart meter story" is actively being executed.

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TAM was always huge here but execution was a challenge here due to multiple reasons mainly

> High Upfront Costs: Smart meters and the associated infrastructure require significant capital investment, which made many DISCOMs hesitant. DISCOMs are already loss making and don't have the balance sheet strength to further mass adopt Smart Meter execution , which also resulted as a problem for the Smart meter’s manufacturers and other counter parts involved in the value chain.

> Lack of Clear Policy and Incentives: Earlier, there was limited regulatory push or incentives for rapid deployment.

> Consumer Awareness & Resistance: Many consumers were unaware of benefits or skeptical about new technology. It is often believed that installation of Smart meters will result in increased billing , Charges hence especially during elections the execution will be
slowed down due to political sensitivity and avoid voter backlash .

Read 22 tweets

Intrinsic Compounding

@soicfinance

Jun 16

A single AI query can use up to 10 X more electricity than a regular Google search.

But why does AI consume so much power? And more importantly, how can we, as investors, turn this rising demand into a compelling opportunity?

Let’s break it down 👇

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The AI power shock -

> An AI query, such as one posed to a large language model (LLM) like ChatGPT, consumes approximately 2.9 Watt-hours (Wh), or 0.0029 kWh, of electricity.

> This figure is nearly ten times the 0.3 Wh (0.0003 kWh) required for a traditional Google search. That’s the same electricity a light-bulb needs for ~20 minutes.Multiply by hundreds of millions of daily prompts and you get a brand-new industrial load—born in the cloud.

> Energy experts warn this surge could soon rival the demand of mid-size nations.

> John Hennessy, the chairman of Google's parent company, Alphabet, has publicly stated ( Reuters interview) that an exchange with an AI chatbot is likely to be ten times more energy-intensive than a standard keyword search.

Welcome to the world of AI-led power demand.

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A (very) quick rewind -

The intellectual seeds of artificial intelligence were planted in the mid-20th century by pioneers like Alan Turing, who in 1950 posed the question, "can machines think?".The field was formally christened at the Dartmouth Summer Research Project on Artificial Intelligence in 1956, an event that brought together the founding fathers of AI research.

The initial optimism gave way to a period known as the "AI winter" in the 1970s and 1980s, as researchers grossly underestimated the profound difficulty of creating general intelligence, leading to a sharp decline in funding.

The field was revitalized in the 1990s and 2000s by the resurgence of machine learning, fueled by more powerful computer hardware, the availability of immense datasets from the internet, and the application of robust mathematical methods.

The true inflection point for the current AI boom was the development of the "transformer" architecture in 2017, a breakthrough that enabled the creation of highly effective large language models like OpenAI's ChatGPT and catalysed the generative AI frenzy.

Read 22 tweets

Intrinsic Compounding

@soicfinance

Jun 13

Did you know?
1 in every 5 iPhones sold globally is now made in India!

But when did this major supply chain shift begin—and how quickly is it accelerating?

Let’s break it down in this thread:
How fast is Apple moving its supply chain to India?👇
#MakeInIndia

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The 20 % milestone

> One in every five iPhones sold worldwide now sports a “Made-in-India” label.

> Bloomberg data show India’s share of global iPhone output hitting 20 % in April 2025, up from ~3 % in FY-22—a six-fold relocation in just three years.

> Because total iPhone volume stayed flat, the entire gain is pure supply-chain migration.

> That shift injected US $10 bn+ of value-add into Indian factories in FY-24 alone and is compounding monthly.

> Analysts following Apple’s purchase orders expect 25-30 % of all iPhones to be India-made by December 2025.

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But on first place why it was China that became the iphone factory...

Its first of all is not just low labour cost but high level of integrated economy

> Foxconn’s Zhengzhou campus—dubbed “iPhone City”—opened in 2010 with its own 24-hour customs gate, onsite tax offices and a dedicated cargo airport spur.

> Export rebates, free-trade zones and lightning infrastructure let phones clear to DHL trucks in under an hour.

> At peak season the complex employed 300 k + workers and pumped out 500 000 handsets a day, roughly half of global iPhone output.

Hundreds of satellite plants—glass, screws, speakers—sit within a two-hour truck run, compressing Apple’s product-cycle from months to weeks.

> For a decade no other country matched that density of skills, parts and incentives—until Covid lockdowns and tariff walls rewrote the math.

In simple terms it was both because of scale and largely integrated supply chain network that made iphone manufacturing luring in India

Video credits - Victor Mochere (Youtube)