Adani Power Overtakes Infosys: AI’s Next Big Need Is Electricity

Adani Power overtaking Infosys in market capitalisation is not just another stock market ranking change. It reflects a bigger shift in how investors may be looking at the next phase of technology.

For years, India’s technology story was mostly about software services. Infosys was one of the strongest symbols of that era. It represented India’s ability to write code, serve global clients and build a global IT services industry.

But the AI era is changing the base layer of technology. AI is not just about apps, chatbots, software engineers and algorithms. Behind every AI model sits a large physical infrastructure stack: chips, servers, data centres, cooling systems, fibre networks, power transmission lines and, most importantly, electricity.

That is why Adani Power’s rise is interesting. It suggests the market may be starting to value electricity as a key input for the AI economy.

The Adani Power vs Infosys Shift Is About More Than Rankings

At one level, this is a simple market story. Adani Power’s stock rallied sharply while Infosys remained under pressure due to weak IT sector sentiment.

But the deeper story is more important. Infosys represents India’s old technology strength. It symbolises the software services boom, where India became a global hub for IT outsourcing and enterprise technology services.

Adani Power represents a very different kind of opportunity. It is part of India’s physical infrastructure story and operates in a sector that may become even more important as India moves deeper into manufacturing, data centres, AI infrastructure, EVs and electrification.

So this market-cap flip is not just about Adani Power versus Infosys. It is about two different technology cycles crossing each other. The first cycle was built on code. The next one may also need kilowatts.

AI Needs More Power Than Software

Most people see AI as a software revolution because the visible layer of AI is software. We see chatbots, AI apps, coding tools and automation platforms. But AI does not run in the air.

AI model training and deployment happen inside data centres filled with servers, storage systems, networking equipment and cooling infrastructure.

That means every AI query has a physical cost. A server has to run, a chip has to process data and cooling systems have to manage heat. All of this needs electricity. So the AI stack can be understood in three layers. 

• The first is the visible layer: AI apps, models and software.
• The second is the compute layer: chips, servers, cloud systems and data centres.
• The third is the base layer: electricity, cooling, land and grid infrastructure.

Most market conversations focus on the first two layers. But without the third layer, AI cannot scale. Before AI can answer a question, a data centre somewhere has to consume electricity.

Why Adani Power Is Becoming Part of the AI Infrastructure Story

Adani Power is not an AI company. It does not build AI models or sell AI software. But it operates in a sector that AI infrastructure depends on.

Large data centres need reliable and large-scale electricity supply. AI workloads are more power-intensive than normal digital workloads because they require heavy computing capacity.

Adani Power is already operating at a scale that makes it relevant to this conversation. According to the company’s Q4 FY26 presentation, it has 18,150 MW of operating capacity, 23,720 MW of locked-in capacity, and a target capacity of 41,870 MW by FY32. In FY26, it sold 99.1 billion units of power.

These are industrial-scale electricity numbers. This is the important difference. Adani Power’s rise does not mean it has suddenly become an AI stock. It means investors may be looking at large power producers as indirect beneficiaries of India’s future electricity demand.

The market may not be valuing Adani Power as a technology company. But it may be valuing power as a critical input for the next technology cycle.

The Adani Group Has an AI Link, and That Matters for Investors

There is another reason why the market may be connecting Adani Power with the AI infrastructure story.

The broader Adani Group is already building data centre infrastructure through AdaniConneX and has partnered with Google for a large AI-focused data centre campus in Visakhapatnam. That strengthens the perception that the group wants to position itself around the physical infrastructure needed for the AI economy.

But investors should be careful not to stretch this narrative too far. There is no confirmed direct AI data centre order for Adani Power. AI companies are not directly buying electricity from Adani Power specifically for AI projects, at least based on current public disclosures.

The more realistic way to look at it is this: This is not an AI order-book story yet. It is a long-term electricity demand story.

Investors may be betting that if AI adoption increases in India, then data centres, cloud infrastructure and compute capacity will also grow. And if that happens, India’s overall electricity demand could rise significantly over time.

That is where large-scale power producers like Adani Power enter the conversation. So the market may not be valuing Adani Power as an AI company itself. Instead, it may be valuing electricity as a critical input for the next technology cycle.

India’s Power Demand Is Already Rising

The AI angle is not happening in isolation. India’s power demand is already rising because of heatwaves, cooling demand, urbanisation and industrial activity.

According to Adani Power’s Q4 FY26 presentation, India’s power demand could grow nearly 4x over the next two decades, with energy demand potentially reaching 6,400 billion units, peak demand touching 708 GW, and installed capacity reaching 2,100 GW by Vision 2047.

This is where AI fits into the story. AI will not be the only driver of electricity demand. But it will add to an already growing demand base created by urbanisation, manufacturing, EVs, cooling demand and digitalisation. Data centres add another layer to that demand.

Why Adani Power Is Getting Re-Rated

Adani Power’s rally is not only because of the AI narrative. Its business performance has also supported investor interest.

According to the company’s Q4 FY26 presentation, Adani Power reported ₹57,865 crore revenue, ₹23,431 crore EBITDA, and ₹12,971 crore profit after tax in FY26.

Its continuing EBITDA has grown from ₹4,715 crore in FY19 to ₹21,285 crore in FY26, while net debt to continuing EBITDA improved from 9.75x in FY19 to 2.12x in FY26.

The company also has 95%+ of its operating capacity tied up under long-term PPAs, giving it stronger revenue visibility.

These numbers matter because they show that Adani Power is not moving only on a theme. The company is also benefiting from India’s rising power demand, long-term tie-ups and capacity expansion plans.

But the AI angle adds a new narrative layer. Earlier, power was seen mainly as a regulated, capital-heavy sector. Now, it may also be seen as a key enabler of the next digital cycle.

Why Infosys Still Matters in This Story

This should not be read as a negative view on Infosys. Infosys remains one of India’s most important technology companies and helped define India’s software-led growth story.

But AI is changing how investors look at traditional IT services. Automation and AI tools could change how software services are delivered and priced. At the same time, AI is creating demand for another type of infrastructure: data centres, compute capacity and electricity.

So the comparison is not that Adani Power is better than Infosys. The better comparison is this:

Infosys represents the visible software layer of India’s old technology boom. Adani Power represents the physical infrastructure layer that the next technology cycle may depend on. That is what makes the market-cap flip symbolically powerful.

Author’s Take

The Adani Power vs Infosys shift may not be about one company winning and another losing. It may be the market redefining what “technology infrastructure” actually means in the AI era.

For years, software companies represented India’s digital growth story because the internet economy mainly needed talent and code. But AI changes that equation. AI is far more infrastructure-intensive. It needs chips, servers, cooling systems, data centres and massive amounts of reliable electricity.

That is why power companies are entering conversations that were earlier dominated only by software and cloud businesses. The market may slowly be moving from valuing only companies that create digital products to also valuing companies that power digital infrastructure.

In that sense, Adani Power overtaking Infosys is less about market cap rankings and more about how the AI economy could reshape the hierarchy of industries over the next decade.