Artificial Intelligence
What AI Companies Do With What You Type: An India Guide
India's data protection law is notified but not yet in force for individual rights. Until May 2027 the only lever you have is the vendor's own settings.
By Maya Iyer · Updated · 10 min read

Short answer
Does ChatGPT or Claude train on my conversations?
India's Digital Personal Data Protection Rules were notified on 13 November 2025, but the provisions that would give an individual enforceable rights over their data - notice and consent, breach notification, and rights handling - are phased in over eighteen months and become fully enforceable around 13 May 2027, with the Consent Manager provisions arriving 13 November 2026. Until then an Indian user's protection against an AI vendor is the vendor's own settings, not the law. The structural rule that matters more than any individual vendor's policy is that consumer subscription tiers generally may use conversations to improve models unless you opt out, while business, enterprise and API tiers generally do not by default. Deleting a conversation removes it from your history but does not remove anything already incorporated into a trained model.
Our practical verdict
There are two questions people conflate when they ask whether an AI tool is private, and separating them is most of the answer. The first is whether the vendor uses what you type to train its models. The second is whether the vendor stores what you type at all. A vendor can answer no to the first and yes to the second, and most of them do.
The structural pattern across the major vendors is more stable than any individual policy. Consumer subscription tiers generally reserve the right to use conversations to improve models unless you turn it off. Business, enterprise and API tiers generally do not train on customer content by default, because enterprise buyers refused to accept it and the market settled there. That dividing line has held even as individual defaults have moved, and it is the one to plan around. If what you are typing would embarrass you or breach an agreement if it surfaced, the tier you are on matters more than the logo on it.
Retention is the separate question. Vendors typically keep conversations for a stated period even when training is disabled, for abuse monitoring and to meet legal obligations, and those periods differ by vendor and by tier. Turning off training does not empty the store. It changes what the stored data is used for.
Shortlist
Recommended options to compare
Use this as a starting list, then compare live India prices and warranty before buying.
Pick 1
The India timeline, and what it means today
The DPDP Rules were notified on 13 November 2025. Establishment of the Data Protection Board took effect immediately, Consent Manager provisions arrive on 13 November 2026, and the substantive obligations - notice, consent, breach notification and handling individual rights requests - are phased to around 13 May 2027. An Indian user today has a law on the books and no enforceable individual remedy under it yet.
Pick 2
Consumer tier versus business tier is the real dividing line
Across the major vendors the pattern is consistent even as the details change: consumer subscriptions may use your conversations to improve models unless you turn that off, and business, enterprise and API tiers generally do not by default. If what you type is commercially sensitive, the tier matters far more than which vendor you chose.
Pick 3
Retention and training are separate questions
A vendor can decline to train on your data and still retain it, often for a stated period for abuse monitoring and legal obligations. Opting out of training does not mean nothing is stored. These are two different settings and two different risks, and coverage routinely conflates them.
Pick 4
What deleting a conversation actually does
It removes the conversation from your history and, after the vendor's stated retention window, from their live systems. It does not extract anything from a model that has already been trained. If a conversation was used in training before you deleted it, deletion is not a recall mechanism, and no vendor offers one.
Pick 5
Check the setting rather than trusting a policy summary
Vendor defaults have changed repeatedly and in both directions over the past two years, including for users who had already been using the product. Any article stating a specific vendor's current default, this one included, is a snapshot. The durable instruction is to open the privacy or data controls page in your account and read what it says today.
Pick 6
Free tiers are the weakest position
Where a paid tier offers a training opt-out, the free tier of the same product frequently does not, or offers it with reduced functionality. If you are using a free tier for work, that is the configuration with the fewest controls available to you.
Pick 7
What not to paste, regardless of settings
Customer personal data, identity document numbers, financial account details, unpublished commercial terms and anything under an NDA. This holds regardless of which tier you are on, because the risk is not only training - it is retention, breach exposure, and in a business context whether you had the right to share it at all.
Which option should you choose?
The India timeline, and what it means today
The DPDP Rules were notified on 13 November 2025. Establishment of the Data Protection Board took effect immediately, Consent Manager provisions arrive on 13 November 2026, and the substantive obligations - notice, consent, breach notification and handling individual rights requests - are phased to around 13 May 2027. An Indian user today has a law on the books and no enforceable individual remedy under it yet.
Consumer tier versus business tier is the real dividing line
Across the major vendors the pattern is consistent even as the details change: consumer subscriptions may use your conversations to improve models unless you turn that off, and business, enterprise and API tiers generally do not by default. If what you type is commercially sensitive, the tier matters far more than which vendor you chose.
Retention and training are separate questions
A vendor can decline to train on your data and still retain it, often for a stated period for abuse monitoring and legal obligations. Opting out of training does not mean nothing is stored. These are two different settings and two different risks, and coverage routinely conflates them.
What deleting a conversation actually does
It removes the conversation from your history and, after the vendor's stated retention window, from their live systems. It does not extract anything from a model that has already been trained. If a conversation was used in training before you deleted it, deletion is not a recall mechanism, and no vendor offers one.
Check the setting rather than trusting a policy summary
Vendor defaults have changed repeatedly and in both directions over the past two years, including for users who had already been using the product. Any article stating a specific vendor's current default, this one included, is a snapshot. The durable instruction is to open the privacy or data controls page in your account and read what it says today.
Free tiers are the weakest position
Where a paid tier offers a training opt-out, the free tier of the same product frequently does not, or offers it with reduced functionality. If you are using a free tier for work, that is the configuration with the fewest controls available to you.
What not to paste, regardless of settings
Customer personal data, identity document numbers, financial account details, unpublished commercial terms and anything under an NDA. This holds regardless of which tier you are on, because the risk is not only training - it is retention, breach exposure, and in a business context whether you had the right to share it at all.
Choice IQ pick
Need the faster shortlist?
Start with our recommended options, then compare the tradeoffs that matter for your budget and workflow.
See top picksHow to decide
Pick the option around the job you need done. This is the fastest way to avoid paying for something that looks impressive but does not change your real workflow.
| Situation | Best starting point | Final check |
|---|---|---|
| The India timeline, and what it means today | The DPDP Rules were notified on 13 November 2025. Establishment of the Data Protection Board took effect immediately, Consent Manager provisions arrive on 13 November 2026, and the substantive obligations - notice, consent, breach notification and handling individual rights requests - are phased to around 13 May 2027. An Indian user today has a law on the books and no enforceable individual remedy under it yet. | Use this as a shortlist, then verify the final details before committing. |
| Consumer tier versus business tier is the real dividing line | Across the major vendors the pattern is consistent even as the details change: consumer subscriptions may use your conversations to improve models unless you turn that off, and business, enterprise and API tiers generally do not by default. If what you type is commercially sensitive, the tier matters far more than which vendor you chose. | Use this as a shortlist, then verify the final details before committing. |
| Retention and training are separate questions | A vendor can decline to train on your data and still retain it, often for a stated period for abuse monitoring and legal obligations. Opting out of training does not mean nothing is stored. These are two different settings and two different risks, and coverage routinely conflates them. | Use this as a shortlist, then verify the final details before committing. |
| What deleting a conversation actually does | It removes the conversation from your history and, after the vendor's stated retention window, from their live systems. It does not extract anything from a model that has already been trained. If a conversation was used in training before you deleted it, deletion is not a recall mechanism, and no vendor offers one. | Use this as a shortlist, then verify the final details before committing. |
Read the editorial notes
This is also where deletion is widely misunderstood. Deleting a conversation removes it from your history and, after the retention window, from the vendor's live systems. It does not reach into a model that has already been trained and remove your contribution, because that is not technically available at any vendor. Deletion is forward-looking housekeeping, not a recall.
For Indian users there is a further and less comfortable point. The Digital Personal Data Protection Rules were notified on 13 November 2025, which was widely reported as India getting a data protection regime. What actually commenced on that date was institutional: the framework for the Data Protection Board. The provisions an individual would rely on - notice and consent, breach notification, and the machinery for making a rights request - are phased across an eighteen-month window, with Consent Manager provisions arriving on 13 November 2026 and substantive compliance required around 13 May 2027. So an Indian user in September 2026 has a law, an institution, and no enforceable individual remedy under it yet. Your protection is the vendor's settings page.
The practical consequence is that this is a period to build habits rather than to rely on rights. Open the data controls in each AI account you use and read what the current setting says, because vendor defaults have changed repeatedly and in both directions, including for existing users who were not asked again. If you use AI for work, move anything sensitive onto a business or API tier where training is off by default rather than relying on a consumer opt-out. And keep a short list of what does not go into any of these tools at all: customer personal data, identity numbers, financial account details, unpublished commercial terms, anything under an NDA. That list costs nothing to maintain and it is the only control that does not depend on a policy staying where you last read it.
For Indian businesses the same timeline reads as preparation time. The obligations are known and dated. Between now and May 2027 the useful work is finding out what staff are actually pasting into these tools, moving those workflows onto tiers that do not train by default, and being able to say on what basis customer data is being processed. That is considerably easier to do now than in the month the rules start to bite.
Decision shortcut
Still comparing options?
Use the table above to shortlist your best fit, then check related picks, tools, and buying guides before you make the final call.
FAQ
Does ChatGPT or Claude train on my conversations?
It depends on the tier and the setting, and the defaults have changed more than once. Consumer subscription tiers generally may use conversations to improve models unless you opt out; business, enterprise and API tiers generally do not by default. Check the data controls page in your own account rather than relying on any published summary, including this one.
Does deleting a chat remove it from the model?
No. Deletion removes the conversation from your history and, after the vendor's retention period, from their systems. Anything already used in training cannot be extracted afterwards, and no vendor offers that.
Do Indian users have a legal right to AI data deletion?
Not yet in enforceable form. The DPDP Rules were notified on 13 November 2025 but the provisions covering individual rights are phased to around 13 May 2027. Until then your practical remedy is the vendor's own controls.
Is a paid AI subscription more private than the free tier?
Usually yes, in that paid tiers more often expose a training opt-out and business tiers exclude training by default. It is not automatic, and a paid consumer tier is not the same as a business tier.
What should Indian businesses do before May 2027?
Treat the phased timeline as preparation time rather than a grace period. Identify what staff are pasting into AI tools, move sensitive workflows onto business or API tiers where training is off by default, and record the basis on which any customer data is being processed. The DPDP guide for small businesses sets out the seven things to have in place.
Features, model access, limits, privacy controls, and India billing can change. Choice IQ evaluates practical workflow fit and recommends checking the provider's current official terms before paying.
AI Tools Editor
Maya reviews AI products, productivity systems, and automation workflows with a focus on practical adoption.
The best choice is rarely the product with the longest feature list. It is the one you will still trust and use six months from now.
How Choice IQ evaluated this guide
Choice IQ evaluates AI subscription privacy for Indian users by the tier-level distinction between consumer and business terms, the separation of training use from retention, what deletion does and does not remove, the phased DPDP enforcement timeline through May 2027, and which controls are actually available to an individual today rather than which are promised.
Weekly intelligence
Get smarter AI tool picks weekly.
One useful email with practical comparisons, refresh alerts, and decision frameworks for people who do not want another noisy newsletter.
