Tharun Shetty

Trade US Fixed income markets

[Tharun Shetty @TradeTS2]

@grok @SmallCapSnipa @chamath Where has the cost escalation come from? what component of the build has contributed to the cost escalating from $5 billion to $60 billion

[Lxyv @wholyv]

Math behind being 10% better every week

[Satya Nadella @satyanadella]

https://t.co/vLmiBKTtX3

[Tharun Shetty @TradeTS2]

@WeekendInvestng It’s a leverage play.. Post leverage it works out to 15-20%

[Tharun Shetty @TradeTS2]

Extremely well articulated. This will one of the opportunities spoken about in hindsight in 2yrs time.. Timing is the key though. @rdkriplani @Finstor85 @phreakv6 @vbomkara

[Tharun Shetty @TradeTS2]

@TheFactFindr @RBI You called it early.. Good one!!!

[Tharun Shetty @TradeTS2]

@DrDatta_AIIMS This is only for investment in G-secs.. Makes our case to be included in the Bloomberg Global Aggregate Index.. If included this would bring in 25-30 billion $ in a year.. It stabilises our currency and frees up Indian Bank capital leading to credit growth..Win-Win on all counts

[Tharun Shetty @TradeTS2]

@phreakv6 I need to thank you for this.. Your in depth study got me into this.. kept digging deeper and have a substantial position in this.. So Thank you!!

[Amit Mishra @MeAmitMishra]

🤣🤣

[Tharun Shetty @TradeTS2]

@suru27 Titan - 12 yrs.. Have been gradually adding every year as well..
Thesis: Shift from unorganised to organised players, no major pan India competitor, play on rising disposable income of middle class, Steady growth with a good management.

[Steve Burns @SJosephBurns]

Hey @grok

If you had to bet $10,000 on one country's stock market outperforming the U.S. over the next 5 years, which do you pick and why?

[Tharun Shetty @TradeTS2]

@investor_vineet Hoping for a turnaround post this acquisition.. Compared to its peers feels heavily undervalued

[Tharun Shetty @TradeTS2]

@investor_vineet Makes sense, My conviction bet on this space is on Samman capital.. similar thesis, but somehow never able to go above 5% allocation in any one name..

[Tharun Shetty @TradeTS2]

@investor_vineet I get that.. but why this particular stock in the entire financial space.. I wanted to understand the reason for such high conviction

[Tharun Shetty @TradeTS2]

@sudheep8531 Induction cooktops accounts for just 7-8% of their overall revenue, plus they just manufacture for other brands and have no pricing power..

[Tharun Shetty @TradeTS2]

@InvesysCapital How are people having money to buy in every fall.. every time there’s a fall, buy this buy that.. paisa Kahaan se laun?

[Tharun Shetty @TradeTS2]

@piyush_trades https://t.co/w4mldb88aJ

[Health & Wealth @_HealthZwealth]

FIIs

Before budget
After Budget
Sunday
Monday
All days
🥊 🥊 🥊

[jeevan patwa @jeevanpatwa]

The Impact of Generative AI - Rationally Speaking

The share prices of Indian IT services companies went through a great deal of pain for the last couple of weeks.

This was a result of the wildness of the collective imagination of the people about what AI can and will do to the industries worldwide. Basically, analysts are of the belief that AI can now autonomously deliver most of the services provided by IT services companies across industries. But decisions made on unfounded beliefs generally lead to irrational and unsustainable outcomes.

So, let’s look at the current state of Enterprise AI and understand whether it can disrupt traditional IT services business model.

According to ISG’s State of AI adoption report 2025, most enterprises are introduced to AI via predictive and/or optimisation models built around structured data. We went through Q3FY26 earnings calls of 68 of the 100 Nifty100 companies and had similar findings.

Most companies are already using traditional, non-agentic, use-case specific AI models for use cases such as fraud detection, predictive maintenance, quality assurance, spend optimisation, etc.

Excluding the IT companies, only one company spoke about the impact of generative and agentic AI on their costs and revenues. IT services companies like Infosys and TCS are very excited about the opportunities that Generative and Agentic AI will bring and has brought for their business.

They boasted about the incremental revenue that they are generating through their AI project wins. TCS, for example reported $1.8 billion annualized revenue from AI services in Q3FY26, which is close to 6% of their total annual revenue. Infosys claims they are working on 4,600 AI projects.

This excitement indicates that enterprises are aggressively running pilots and prototypes to embed AI into their business functions. AI project wins by the large IT services companies also means that enterprises still aren’t AI ready and would need help of their long-standing tech partners to make them AI ready.

Enterprises can’t just buy the subscription from of an AI platform and start querying it.

Most enterprises have their data across multiple different applications resulting in multiple different, non-compatible schemas.

Enterprises first need to ensure that the data across their multiple complex systems is compatible. This data can then be used to set context for the AI platforms and get the desired outcomes.

Another big concern for the enterprises is that the AI platforms are vulnerable to cyber threats and provide weak governance features.

This concern is more serious for regulated industries like Finance and Healthcare. To secure their data and maintain its integrity, enterprises would need their IT partners to build additional guard rails into the AI platforms. These partners would help build data security protocols and define user access policies for both AI agents and humans. These protocols and policies then need to be deployed across the complex IT infrastructure of the enterprise generating more opportunities for IT services companies.

Hence, we believe AI is less of a threat and more of an opportunity for the IT services companies. However, this does not imply no change in status quo. Software developers, with the help of AI, can now write programs and software in a matter of hours which would otherwise take days or even weeks. Generative AI has significantly reduced testing and documentation efforts for a software developer. IT services companies would want to monetise these productivity gains which would result in lower head count addition but also higher revenue per employee. AI is definitely changing the status quo, but its only reshaping IT services into higher‑value opportunities rather than replacing them outright.