The Home Just Became AI Infrastructure - Why India's Homes Are Quietly Becoming One of The World's Most Valuable AI Assets

A cleaner arrives at a Gurgaon apartment.

She removes her shoes.

Picks up her cleaning supplies.

Then asks a question no domestic worker in India would have asked just a few years ago.

"May I wear this camera while I clean?"

At first glance, it sounds like a simple consent request.

It isn't.

It may become one of the defining questions for Indian real estate, artificial intelligence and digital property rights over the coming decade.

Because the moment that camera begins recording, the home starts serving another purpose.

It is no longer just a place to live.

It becomes part of the infrastructure that helps train the next generation of artificial intelligence.

That single question represents something much larger than a new feature offered by a home-services company.

It signals the beginning of an entirely new relationship between our homes, our data and the AI economy.

The Story isn't About a Cleaning Startup

It's About the Future of Property.

A recent Forbes report highlighted how home-services startup Pronto is piloting wearable cameras during cleaning sessions. Customers can choose recorded visits for additional transparency, workers may receive higher compensation and, with appropriate permissions, the resulting first-person recordings can contribute valuable visual data for training AI systems and future humanoid robots.

The original reporting quite rightly explored questions around privacy, labour and robotics.

But there is another story hiding underneath it.

It is also a real estate story.

As someone who has spent years building a real estate intelligence platform and analysing how homes create value, I believe this represents the beginning of an entirely new asset class within residential property.

Not land.

Not buildings.

Not location.

Data.

AI Has Introduced a Fourth Dimension of Property Value

For centuries, real estate has been valued through three fundamental dimensions.

Land.

The building.

Location.

Every valuation model.

Every mortgage.

Every investment thesis.

Every housing cycle.

Ultimately comes back to these three variables.

Artificial intelligence quietly introduces a fourth, and this shift sits at the heart of the defining AI trends reshaping business today.

Residential data.

Not transaction records.

Not ownership documents.

Not property prices.

But information generated inside the home itself.

This data layer of property could become one of the most economically valuable assets created by residential real estate in the age of AI.

Homes Are Becoming AI Infrastructure

Infrastructure has always powered economic revolutions.

Roads powered industrialisation.

Electricity powered manufacturing.

The internet powered software.

Cloud computing powered artificial intelligence.

Now physical AI may require something entirely different.

Real homes.

Humanoid robots cannot learn everyday tasks from text alone. They belong to a new class of agentic AI and autonomous intelligence that must understand the physical world.

How cupboards open.

How beds are made.

How washing machines are loaded.

How kitchen drawers are organised.

How humans move through narrow corridors.

How delicate objects are handled.

How different homes are cleaned.

How thousands of everyday decisions are made.

Every home becomes a classroom.

Every cleaning session becomes a lesson.

Every interaction becomes training data.

Researchers refer to this type of first-person visual information as egocentric data, a critical component for teaching machines how humans interact with physical environments. It is also central to objective-driven AI systems of the future that learn from real-world context rather than static text.

Companies building physical AI and robotics, including NVIDIA, Figure AI and Google DeepMind, are investing heavily in systems capable of understanding and operating within human environments.

Those environments are our homes.

One Home Visit Now Creates Three Different Economies

A single household visit can now generate value in three completely different ways.

The homeowner purchases convenience, trust and professional service.

The worker earns income through skilled labour.

The AI industry acquires knowledge.

The first two economies have existed for generations.

The third is entirely new.

Unlike labour, training data continues creating economic value long after the work is completed.

A robot trained using millions of household interactions can repeat those learned behaviours millions of times, much like the AI agents transforming digital workflows today can execute learned tasks endlessly at scale.

That transforms a simple recording into long-term infrastructure for artificial intelligence.

The home is no longer only a consumer of technology.

Increasingly, it becomes a producer of machine intelligence.

India's Homes May Become One of the World's Largest AI Datasets

Many countries will view this primarily as an AI story.

India should also recognise it as a real estate story.

India has one of the world's largest and most diverse residential environments, and its data advantage is already visible in the trends shaping India's AI startup landscape.

Every apartment, villa and independent home contains information that extends far beyond architecture.

A first-person recording may reveal:

• Room layouts
• Furniture placement
• Appliances
• Expensive possessions
• Children's spaces
• Medicines
• Religious areas
• Security systems
• Accessibility features
• Household routines
• Cleaning methods
• Patterns of daily living

In the property industry, companies already invest heavily in understanding how people live.

Wearable cameras capture that understanding at an entirely different level of detail.

These recordings don't simply document cleaning.

They document human life inside the built environment.

The Worker's Experience is Becoming Machine Intelligence

Perhaps the most overlooked part of this conversation is the worker herself.

She is not simply demonstrating how to mop a floor.

She is demonstrating judgement.

Movement.

Dexterity.

Problem-solving.

Years of practical experience.

Every adjustment she makes.

Every decision she takes.

Every shortcut she has learned through experience.

Can become part of an AI training dataset.

Her knowledge becomes software.

Her expertise becomes machine intelligence.

The robot is not replacing labour first.

It is learning from labour first. This is a powerful reminder of why humans remain irreplaceable in an AI-driven world: the machine's intelligence begins with human expertise.

This does not automatically make the model unethical.

Innovation has always depended on learning from human expertise.

But it does raise an important economic question.

If human knowledge continues generating commercial value for years after it is recorded, should those who helped create that knowledge participate only once? Or should they continue participating in the value it creates?

That question extends well beyond home services. It echoes the wider debate on AI and the future of human authorship, where creators ask the same question about the value their work generates.

It touches the future of work itself.

Residential Data Rights May Become the Next Property Debate

Today's housing regulations were written for a different era.

Housing societies regulate CCTV cameras.

Developers discuss smart homes.

Governments regulate physical security.

Few frameworks address wearable cameras generating AI training data inside private residences.

Who owns recordings captured inside a home?

The homeowner?

The tenant?

The worker?

The platform?

Can those recordings later become part of commercial AI datasets?

Can consent be withdrawn?

Should homeowners know how long data is retained?

Should housing societies establish rules governing AI-enabled recording devices?

These are no longer hypothetical questions.

They are emerging governance questions, and they demand the same vigilance discussed in why society must stay vigilant amid rapid technological change.

Privacy Is Becoming a Real Estate Amenity

For decades, residential projects competed on:

• Location
• Architecture
• Amenities
• Views
• Clubhouses
• Smart-home technology
• Connectivity

Artificial intelligence introduces another differentiator.

Residential data governance.

Future homebuyers may ask entirely new questions.

Can third-party service providers record inside apartments?

Where is residential data stored?

Who can access it?

Can recordings be used to train commercial AI systems?

How transparent is the consent process?

Can residents permanently delete recordings?

Developers that answer these questions well may discover an unexpected competitive advantage. Strong data practices will draw on the same principles behind strengthening security in the cloud and AI era.

Privacy is becoming an amenity.

Amenities become specifications.

Specifications create value.

India Has an Opportunity to Lead

The answer is unlikely to be banning these technologies.

Physical AI is coming.

Humanoid robots will require enormous amounts of real-world data.

The question is not whether these datasets will exist.

The question is who defines the rules.

India has an opportunity to become more than one of the world's largest suppliers of AI training data. With AI already powering India's USD 1 trillion software leap, the country can become a global leader in residential data governance.

That means recognising that data generated inside homes has long-term economic value.

It means treating homeowners, residents, workers, platforms, housing societies and developers as stakeholders.

It means designing governance frameworks before widespread adoption.

History repeatedly shows that thoughtful governance creates stronger innovation than regulation written in response to crisis.

The Next Property Debate Won't Be About Square Feet

It Will Be About Data Rights.

Three ideas deserve serious discussion.

First, workers whose expertise helps train commercial AI systems should have transparent and fair participation in the long-term value created from their knowledge.

Second, homeowners should receive clear records showing when recordings were made, how data is stored, who has accessed it and whether consent can later be modified or withdrawn.

Third, developers, housing societies, technology companies and policymakers should begin creating common standards for residential data governance before AI-enabled home services become mainstream.

These conversations are far easier before an industry matures than after it does. For stakeholders preparing for this shift, these five points to get AI-ready are a practical starting place.

The Next Era of Real Estate Has Already Begun

For generations, property value came from land.

Then buildings.

Then location.

Artificial intelligence introduces another dimension.

Data.

Every lived-in home is becoming a potential producer of machine intelligence.

Land created wealth.

Buildings created communities.

Increasingly, homes may also create the datasets that power physical AI.

That should excite us.

It should also encourage us to think more carefully about ownership, consent, transparency and participation. Whether we treat this moment as a blessing or a beast depends entirely on the choices we make now.

Today, the camera still asks permission before entering the home.

Tomorrow, the more important question may no longer be about the camera itself.

It will be about who owns the intelligence created inside our homes. It will also be about who benefits from it.

This article was inspired by recent reporting in Forbes on Pronto's wearable camera pilot. The views expressed here are my own and explore the broader implications for artificial intelligence, residential data governance, digital property rights and the future of Indian real estate.

About me

I am the Founder of Ghar.tv, India's AI-native real estate intelligence platform. I write about the intersection of artificial intelligence, real estate, PropTech, residential data governance, smart cities and the future of property markets across India and the Middle East.