Can AI do the research you’d normally spend hours doing before investing? We decided to test it.
The company: Tata Consumer Products. The scenario: What if we were considering investing ₹1 lakh?
First, we let AI research the company. Then we checked the research ourselves. And that’s where it became interesting.
Round 1 — Let AI Do the Work
We started with a simple instruction: research the business and tell us what an investor should know.
AI’s First Snapshot
- Revenue: ₹20,290 Cr
- EBITDA: ₹2,815 Cr
- Group net profit: ₹1,547 Cr
- FY26 revenue growth: about 15%
- FY26 net profit growth: about 20%
The initial picture looked good: strong brands, growing revenue, rising profits and a substantial liquidity position.
Round 2 — We Asked a Different Question
Then we changed the question.
Instead of asking, “Is this a good company?” we asked, “What are we paying for this company?”
Around September 2026, Tata Consumer Products was valued at roughly ₹1 lakh crore, while its trailing P/E was around 61×.
FY26 Net Profit
₹1,547 Cr
↓
Approx. Market Capitalisation
₹1,00,000 Cr
The Business Is Still Growing
The valuation question doesn’t mean the business is weak. In fact, the long-term numbers show continued growth.
| Year | Revenue (₹ Cr) | EBITDA (₹ Cr) |
|---|---|---|
| FY22 | 12,425 | 1,749 |
| FY23 | 13,783 | 1,874 |
| FY24 | 15,206 | 2,323 |
| FY25 | 17,618 | 2,502 |
| FY26 | 20,290 | 2,815 |
The latest Q1 FY27 results also showed continued momentum, with revenue up about 12% year over year and net profit up about 29%.
Good company ≠ automatically good investment.
What Does ₹1 Lakh Actually Buy?
At roughly ₹1,010 per share, ₹1 lakh would buy about 99 shares, ignoring transaction costs.
But the important question isn’t simply how many shares we can buy.
The real question is:
How much future growth is already reflected in today’s price?
A high valuation means the company has to perform well enough to justify the expectations embedded in the price. Even if the business keeps growing, the stock can disappoint if investors become willing to pay a lower multiple.
AI vs AIFix
AI
Find → Summarise → Compare
↓
Human Research
Verify → Question → Challenge
AI did not have a problem finding information in the company’s reports. The more interesting problem was deciding what question should come next.
The Lesson
A company can have growing revenue, rising profits, valuable brands and a strong balance sheet — and its stock can still disappoint.
Why? Because a stock represents both a business and a price.
The AIFix Rule
| AI can help | Human still needs to |
| Find information | Verify |
| Summarise reports | Understand context |
| Compare companies | Challenge assumptions |
| Build a thesis | Try to break it |
| Find potential risks | Decide what matters |
Don’t ask AI: “Should I invest?”
Ask: “What am I missing?”
This is an educational experiment, not investment advice. The ₹1 lakh scenario is hypothetical. Financial figures and valuation data should always be independently verified before making an investment decision.