๐จBREAKING: Anthropic just rewrote the AI disruption playbook.
Not by replacing IT servicesโฆ but by admitting it can't survive without them.
โข A $380Bn AI giant needs human expertise to work in the real world.
โข 350,000 professionals just got deployed not fired.
โข The "AI kills IT" trade just became the most crowded wrong bet of 2026.
The real story?
Almost nobody is reading this correctly.
Let's break it down ๐งต๐
For months, the narrative was simple:
"AI will replace IT services. Automate the coders. Kill the consultants."
Markets believed it.
Investors sold IT.
Everyone panicked.
There was just one problem.
Nobody asked: who deploys AI inside a bank?
Who manages compliance in a hospital?
Who modernises 30-year-old legacy systems?
Not Anthropic. They don't have 350,000 people.
So Anthropic did something nobody expected.
They opened their first India office in Bengaluru.
Then signed a full partnership with India's largest IT firm integrating Claude directly into their AI platform.
This isn't competition.
This is Anthropic outsourcing its deployment problem.
Then came the number that stopped everyone cold.
350,000.
That's how many professionals at one IT firm alone just got deployed ON Claude.
Not replaced by it.
Not competing with it.
Running it. Implementing it. Selling it to enterprise clients.
AI needed an army.
IT services just became that army.
And it's not just one firm.
An Indian airline is using Claude Code to ship software faster.
A major Indian fintech after Claude Code adoption:
โ 2x faster feature delivery
โ 10% better test coverage
These aren't pilots.
These are production deployments.
Indian companies aren't waiting for AI.
They're already shipping with it.
Here's why India specifically matters so much.
Anthropic's own CEO said it:
"India is the 2nd largest market for Claude.ai after the US."
The data behind it:
โข ~50% of Indian Claude usage = building production software
โข India revenue run-rate DOUBLED in just 4 months
โข 6% of ALL global Claude usage = India
India isn't a market Anthropic entered.
It's the market Anthropic depends on.
So who actually wins from this shift?
โ IT services firms with enterprise relationships
โ Companies already co-building with Anthropic
โ Mid-cap IT with AI implementation focus
โ Firms with deep BFSI and regulated industry exposure
โ ๏ธ Still at risk:
โข Pure SaaS with no integration moat
โข Cybersecurity adjacent Claude Code scans code autonomously
โข Any firm delaying AI adoption loses client budgets fast
The question isn't "will AI disrupt IT?"
It already is. The winners just aren't who everyone thought.
One more thing the market is missing.
Anthropic is valued at $380 Billion.
Revenue run-rate doubling every few months.
Backed by Amazon, Google, Microsoft, Nvidia.
They have one core problem:
Regulated industries won't touch AI without a trusted implementation partner.
Banks need audits. Hospitals need compliance. Governments need accountability.
Anthropic can't provide that alone.
IT services can.
That's the entire game.
The bottom line:
The AI disruption story was real.
The "IT is dead" conclusion was wrong.
โ AI needs deployment at scale
โ Deployment needs domain expertise
โ Domain expertise lives in IT services
The $380Bn AI giant didn't replace the sector.
It hired it.
The most crowded wrong bet of 2026 is still playing out.
Don't be the last one to update your thesis.
๐ Save this thread. Share it with someone still holding the wrong view.
But the sun doesn't shine at night.
The wind doesn't blow on command.
The grid needs STORAGE.
BESS - Battery Energy Storage Systems.
โน9,400 crore VGF scheme.
โน18,100 crore PLI for cell manufacturing.
74 GW storage needed by 2031-32.
Operational capacity set to go 10X in 2026 alone.
Nobody is talking about this sector loudly enough.
Government policy muscle behind it:
โ โน9,400 crore VGF covers up to 40% of standalone BESS capex
โ โน18,100 crore PLI scheme for domestic battery cell manufacturing
โ ISTS charge waivers for storage projects until June 2028
โ 20% domestic value addition mandate โ Indian manufacturers win
โ Energy Storage Obligation (ESO) โ DISCOMs legally required to source % of power from storage
This isn't a speculative theme.
This is a policy-backed, legally mandated industrial revolution. โก
๐ BATTERY CELL MANUFACTURING (GIGAFACTORIES)
No cell = no battery = no BESS. Start of the entire value chain.
India currently imports 90%+ of its lithium cells from China.
PLI scheme is changing that. ๐ญ
โข Exide Industries โ 6 GWh Li-ion cell gigafactory in Bengaluru targeting first production by end FY26. Moving from assembler to cell maker. Approved โน1,400 crore investment in EESL. Market cap โน28,645 crore.
โข Amara Raja Energy & Mobility โ Building 16 GWh Giga Corridor in Telangana with Gotion LFP tech tie-up. Li-ion pilot plant by FY26-end. Invested โน1,000-1,100 crore in new energy in FY26 alone. Q3 FY26 revenue โน3,410 crore. Targeting 10-12% EBITDA margins once scaled to 10-12 GWh.
Meanwhile, IDFC First Bank employees are stealing โน590 crore from government accounts.
Nobody has gone to jail yet.
The stock crashed 18%.
Haryana Govt shut them out overnight.
Retail investors are left holding the bag.
Full breakdown ๐งต๐
First, understand who IDFC First Bank is.
This is NOT a small unknown bank.
โ Founded 2018 (merger of IDFC Bank + Capital First)
โ 943+ branches across India
โ Q3 FY26 net profit โ โน503 crore (up 48% YoY)
โ Deposits growing 24% year on year
โ Rated as one of India's fastest-growing private banks
Everything looked fine from the outside.
Then one routine visit by a government official changed everything. ๐
February 18, 2026. Chandigarh. Sector 17.
A Haryana Government department official walks into IDFC First Bank.
Simple request โ
"Close our account. Transfer our balance to another bank."
Happens every day. Routine paperwork.
Except -
The balance in the BANK'S system didn't match what the GOVERNMENT had on record.
Then another department came in.
Same mismatch.
Then another.
Same mismatch.
The entire branch's government accounts were WRONG. ๐ณ
๐น Born in 1933, started as a stockbroker in the 1950s.
๐น Noticed that the biggest winning stocks had common traits.
๐น Created a data-driven approach to find high-growth stocks.
๐น In 1963, at age 30, he became the youngest person to buy a seat on the NYSE!
๐น Founded Investorโs Business Daily (IBD) to share his research.
๐น C โ Current Earnings Growth
๐น A โ Annual Earnings Growth
๐น N โ New Product, Service, or Market
๐น S โ Supply & Demand
๐น L โ Leader vs. Laggard
๐น I โ Institutional Sponsorship
๐น M โ Market Direction
This system identified Monster Energy, Apple, Tesla, and Nvidia years before they boomed.