Indian IT Companies Lose Money Because of AI

May 12, 2026, 05:41
IndiaFinance
A2

Indian IT Companies Lose Money Because of AI

Introduction

On May 12, 2026, Indian IT companies lost a lot of money. This happened because of new AI technology and bad money reports.

Main Body

Big companies like Tata and Infosys saw their prices go down. The IT sector lost 25.4 per cent of its value this year. This is much worse than other companies. Many people now spend money on AI. They do not buy old IT services. A company called OpenAI started a new project with 4 billion dollars. This makes people worry about old IT jobs. Tata Consultancy Services made less money than last year. This is the first time since 2004. Also, the Indian rupee is very weak. This is because oil prices are high and some countries are fighting.

Conclusion

Indian IT companies are in trouble. AI and world problems make it hard for them to grow.

Learning

πŸ“‰ The 'Money' Language

In this story, we see how to talk about money going up or down. This is very important for A2 level.

1. Downward Patterns

  • Lose money β†’ Not having money anymore.
  • Prices go down β†’ Things become cheaper.
  • Made less money β†’ Not as much profit as before.

2. The 'Because' Connection We use because to explain why something happens. Look at the logic:

Bad thing β†’\rightarrow because β†’\rightarrow The reason

  • Companies lose money β†’\rightarrow because of β†’\rightarrow AI technology.
  • The rupee is weak β†’\rightarrow because β†’\rightarrow oil prices are high.

3. Comparing Time To talk about changes, use: than last year.

  • Example: "Made less money than last year."

Quick Tip: Use 'much worse than' when one bad thing is more serious than another.

Vocabulary Learning

company (n.)
A business organization that sells goods or services.
Example:She works for a small company that makes toys.
money (n.)
Currency used to buy goods and services.
Example:He saved his money in a bank.
technology (n.)
Tools and machines made by people.
Example:The new technology helps doctors diagnose patients faster.
prices (n.)
The amount of money needed to buy something.
Example:The prices of groceries have increased.
spend (v.)
To use money to buy things.
Example:They spend a lot of money on holidays.
buy (v.)
To purchase something with money.
Example:She will buy a new phone tomorrow.
old (adj.)
Not new; having existed for a long time.
Example:He prefers old books to new ones.
new (adj.)
Recently made or discovered.
Example:They launched a new product last week.
big (adj.)
Large in size or importance.
Example:The city has a big stadium.
bad (adj.)
Not good; harmful.
Example:The weather was bad, so we stayed inside.
weak (adj.)
Not strong; easily broken.
Example:The bridge is weak and needs repair.
fighting (v.)
To struggle against someone or something.
Example:They are fighting for their rights.
B2

Indian IT Stocks Fall as Generative AI Integration Increases

Introduction

The Indian IT sector saw a significant drop in value on May 12, 2026, caused by the rise of new AI companies and poor financial forecasts.

Main Body

The Nifty IT index fell by 3.6 per cent, reaching its lowest point since May 2023. Major companies, including Tata Consultancy Services, Infosys, HCL Technologies, and Wipro, saw their prices drop between 2.5 per cent and 4 per cent. This is part of a larger annual trend where the sector has decreased by 25.4 per cent, which is much worse than the 9.7 per cent decline of the general Nifty 50 index. Analysts from HSBC emphasized that global spending on artificial intelligence may be reducing the demand for traditional IT services. This concern grew after OpenAI announced a new venture worth over $4 billion to help organizations optimize AI. Furthermore, the introduction of Anthropic's Claude Code in February increased fears that traditional professional service models are becoming outdated. Financial results have also made investors nervous. Tata Consultancy Services reported that its dollar revenue fell by 0.5 per cent to $30 billion, marking its first decline since 2004. Additionally, HCL Tech leaders stated that it is now much harder to maintain contract values. These problems are worsened by external factors, such as the rupee falling to a record low due to high oil prices and political instability in the Middle East.

Conclusion

The Indian IT sector continues to shrink as it deals with the disruptive impact of generative AI and difficult global economic conditions.

Learning

πŸš€ The 'Cause & Effect' Power-Up

To move from A2 to B2, you must stop using 'because' for everything. B2 speakers use complex connectors to show how one event leads to another.

Look at this shift from the text:

A2 Style: The stocks fell because AI is rising. B2 Style: The Indian IT sector saw a significant drop caused by the rise of new AI companies.

πŸ› οΈ The B2 Toolkit: Replacing 'Because'

Instead of starting every sentence with 'Because...', try these patterns found in the article:

  1. [Result] + caused by + [Reason] Example: "A drop in value caused by poor financial forecasts." Pro Tip: Use this when the result is the most important part of the sentence.

  2. [Reason] + may be reducing + [Effect] Example: "Global spending on AI may be reducing the demand for traditional services." Pro Tip: Use 'may be' to sound more professional and less aggressive (this is called 'hedging').

  3. [Result] + worsened by + [Extra Problem] Example: "These problems are worsened by external factors." Pro Tip: Use 'worsened by' when a situation was already bad, and something new made it even worse.

πŸ“ˆ Level-Up Challenge

Compare these two ways of describing the same fact:

  • Basic: The rupee fell because oil prices are high.
  • Advanced: The rupee fell to a record low due to high oil prices.

Why this works: Using 'due to' and 'worsened by' allows you to connect multiple ideas into one sophisticated sentence, which is the hallmark of a B2 learner.

Vocabulary Learning

significant (adj.)
of great importance or influence
Example:The company announced a significant increase in profits.
drop (v.)
to fall or decrease
Example:Stock prices dropped sharply after the announcement.
value (n.)
the monetary worth of something
Example:The value of the shares fell by 3.6%.
rise (n.)
an increase in amount or level
Example:There was a rise in AI company valuations.
companies (n.)
business organizations
Example:Major companies like Tata and Infosys were affected.
financial (adj.)
relating to money or finance
Example:Financial forecasts were negative.
forecasts (n.)
predictions about future events
Example:The forecasts for next quarter were pessimistic.
index (n.)
a statistical measure of change
Example:The Nifty IT index fell by 3.6%.
percent (n.)
a proportion expressed as a part of 100
Example:The decline was 4 percent.
lowest (adj.)
the smallest amount or level
Example:It reached its lowest point since 2023.
major (adj.)
important or significant
Example:Major companies were listed.
prices (n.)
the amount of money paid for something
Example:Stock prices dropped.
trend (n.)
a general direction of change
Example:There is a negative trend.
decreased (v.)
to become smaller or less
Example:The sector decreased by 25.4%.
worse (adj.)
of poorer quality or condition
Example:The decline was worse than expected.
analysts (n.)
people who study data to give advice
Example:Analysts warned about AI impact.
global (adj.)
relating to the whole world
Example:Global spending on AI is rising.
spending (n.)
money spent on something
Example:Spending on AI has increased.
artificial (adj.)
made by humans, not natural
Example:Artificial intelligence is growing.
intelligence (n.)
the ability to learn and understand
Example:AI is a type of artificial intelligence.
demand (n.)
the desire for something
Example:Demand for traditional IT services is dropping.
traditional (adj.)
conventional or old-fashioned
Example:Traditional services are being challenged.
services (n.)
help or work performed for others
Example:IT services are in demand.
concern (n.)
a feeling of worry
Example:The concern grew after the announcement.
venture (n.)
a risky business undertaking
Example:OpenAI launched a new venture.
optimize (v.)
to make as efficient as possible
Example:Companies aim to optimize AI use.
introduction (n.)
the act of bringing something new
Example:The introduction of new AI sparked fears.
fears (n.)
an anxious feeling
Example:Fears grew about outdated models.
outdated (adj.)
no longer useful or relevant
Example:The models are becoming outdated.
results (n.)
outcomes or findings
Example:Financial results were disappointing.
C2

Contraction of Indian Information Technology Equities Amidst Generative Artificial Intelligence Integration.

Introduction

The Indian IT sector experienced a significant valuation decline on May 12, 2026, driven by the emergence of new AI ventures and suboptimal fiscal projections.

Main Body

The Nifty IT index registered a 3.6 per cent decrease, reaching a nadir not observed since May 2023. This downturn was characterized by price corrections between 2.5 per cent and 4 per cent for primary entities, including Tata Consultancy Services, Infosys, HCL Technologies, and Wipro. Such volatility is situated within a broader annual trend wherein the sector has depreciated by 25.4 per cent, markedly exceeding the 9.7 per cent decline of the benchmark Nifty 50. Institutional analysis from HSBC posits that the proliferation of global capital expenditure toward artificial intelligence may be precipitating a 'crowding out' effect, thereby diminishing the demand for conventional IT services. This hypothesis is reinforced by the recent announcement from OpenAI regarding the establishment of a venture exceeding $4 billion in capitalization, designed to embed engineers within organizations for AI optimization. This follows a February volatility event triggered by the introduction of Anthropic's Claude Code, which intensified concerns regarding the obsolescence of traditional professional service models. Financial performance metrics further exacerbate investor apprehension. Tata Consultancy Services reported a 0.5 per cent year-on-year contraction in dollar revenue to $30 billion for the period ending March, representing its first such decline since its 2004 initial public offering. Furthermore, HCL Tech leadership indicated a substantial increase in the operational effort required to maintain total contract values. These internal pressures are compounded by external macroeconomic factors, including the depreciation of the rupee to a record low, attributed to elevated crude oil prices and the failure of diplomatic efforts to achieve a rapprochement between the U.S., Israel, and Iran.

Conclusion

The Indian IT sector remains in a state of contraction as it navigates the disruptive influence of generative AI and unfavorable macroeconomic conditions.

Learning

The Architecture of Nominalization & Latinate Precision

To transition from B2 to C2, a student must stop describing actions and start describing concepts. The provided text is a masterclass in Nominalizationβ€”the process of turning verbs (actions) or adjectives (qualities) into nouns to create a denser, more objective, and highly formal academic tone.

⚑ The Pivot: From 'Doing' to 'Being'

Compare a B2 phrasing with the C2 professional register found in the text:

  • B2 (Action-oriented): The rupee fell to a record low because crude oil prices rose and countries failed to make peace.
  • C2 (Concept-oriented): ...the depreciation of the rupee to a record low, attributed to elevated crude oil prices and the failure of diplomatic efforts to achieve a rapprochement...

The linguistic shift:

  1. "Fell" β†’\rightarrow Depreciation (Process noun)
  2. "Rose" β†’\rightarrow Elevated (Attributive adjective/state)
  3. "Failed to make peace" β†’\rightarrow Failure... to achieve a rapprochement (Abstract noun phrase)

πŸ›οΈ Lexical Sophistication: The 'Nadir' of Precision

C2 mastery requires the use of uncommon but precise vocabulary that eliminates the need for modifiers.

  • The Nadir: Instead of saying "the lowest point," the text uses nadir. This is not just a synonym; it is a technical term borrowed from astronomy, signaling a level of intellectual rigor expected in C2 discourse.
  • Precipitating: Rather than "causing," the author uses precipitating. In a chemical or meteorological sense, this implies a sudden, forceful trigger, adding a layer of nuance to the economic 'crowding out' effect.

πŸ› οΈ Syntactic Compression

Note the phrase: "...intensified concerns regarding the obsolescence of traditional professional service models."

In a B2 context, this would likely be: "...made people more worried that traditional service models would become old-fashioned."

C2 Strategy: By using Obsolescence (the state of being obsolete), the writer compresses a complex sociological trend into a single noun. This allows the sentence to maintain a high 'information density,' which is the hallmark of C2 proficiency.

Vocabulary Learning

nadir (n.)
the lowest point; the bottom
Example:The stock market hit its nadir on May 12, 2026, when prices fell sharply.
volatility (n.)
the tendency of a variable to change rapidly and unpredictably
Example:The volatility of AI startups has unsettled investors across the sector.
depreciation (n.)
a reduction in the value of an asset or currency
Example:The rupee's depreciation to a record low has pressured importers.
crowding out (n.)
the reduction in demand for traditional services due to new competition
Example:The crowding out effect of AI has diminished demand for conventional IT services.
exacerbate (v.)
to make a problem or situation worse
Example:The new regulatory costs will exacerbate the sector's financial strain.
apprehension (n.)
anxiety or fear about something that may happen
Example:Investor apprehension grew after the latest earnings report.
capitalization (n.)
the total value of a company's shares or the amount of capital invested
Example:OpenAI's $4β€―billion capitalization signals strong investor confidence.
obsolescence (n.)
the condition of becoming outdated or no longer useful
Example:AI-driven automation accelerates the obsolescence of manual labor.
rapprochement (n.)
the establishment of friendly relations between previously hostile parties
Example:The rapprochement between the U.S., Israel, and Iran was hoped to stabilize the region.
disruptive (adj.)
causing significant change by breaking established patterns
Example:Generative AI is a disruptive force reshaping the IT landscape.
generative (adj.)
capable of producing or creating new content or ideas
Example:Generative models can produce realistic images from textual descriptions.
suboptimal (adj.)
not the best or most effective; inferior
Example:The company's suboptimal fiscal projections led to a sharp decline in investor confidence.
proliferation (n.)
rapid increase or spread of something
Example:The proliferation of AI ventures has intensified market competition.
conventional (adj.)
traditional; following established practices
Example:Conventional IT services are being supplanted by AI solutions.
hypothesis (n.)
a proposed explanation made on the basis of limited evidence
Example:The hypothesis that AI will crowd out traditional services is gaining traction.