Sheftali's Unknown

Your screen cracks on a Tuesday. The service centre quotes a number that makes you check whether a new handset would cost less, and the honest answer is often yes. That maths is not an accident. It is the product of decisions about glue, screws and who is allowed to hold the repair manual, and right to repair India is the policy trying to change it. A framework is drafted. A portal is live. What is still missing is the part that decides your bill.

Does India have the right to repair?

Partly. India has no standalone right to repair statute. What exists is a government portal where brands publish repair terms, plus a submitted framework for a repairability score on smartphones and tablets, both voluntary until notified.

The framework is not a rumour. A committee headed by Bharat Khera submitted the Framework on Repairability Index in the Mobile and Electronic Sector to the Department of Consumer Affairs in May 2025, with smartphones and tablets named as the first category. That is a real document with a real scope, sitting one notification away from mattering. Whether that notification lands this year is the part nobody will put in writing.

Anyone who has watched a device get quietly retired already knows why this matters. A phone rarely dies outright. It gets expensive to keep, in small increments, the same way extended support on Windows 10 turned into a paid tier, or the way smart home gear stopped working when its cloud service shut down. Repairability is that story told through hardware instead of software. Either the parts exist at a sane price, or the device is finished and you never got a vote.

Europe is two years ahead of us here, which makes it the only place with evidence instead of intentions. Four numbers from that experiment are worth carrying into any argument about India's version.

The delivery window is the quiet one. A repair shop that cannot get a display inside a fortnight does not schedule the job, it recommends a new handset, and the customer usually takes the advice because waiting feels worse than paying. Deadlines on parts supply are not paperwork. They decide whether a repair gets offered or merely mentioned.

What right to repair India scores on a phone

The index scores six parameters: disassembly depth, repair information, spare parts availability, software updates, tools, and fasteners. Each maps to a cost you meet later, which is why the parameter list matters more than any headline score.

Read those six against what Europe already requires and the gaps show up fast. India has named the categories. It has not yet named the thresholds, and a category without a threshold is a description, not a rule.

One line in that table deserves its own sentence, and it is my own arithmetic rather than anybody's published finding: Europe's parts clock outruns its update clock by two full years. A phone can sit in a window where the display is still orderable and the operating system no longer receives security patches. Repairable and unsafe at once. If India copies the structure without closing that gap, it imports the same window.

Europe also shows what happens when a score gets published and nobody checks it. An audit by iFixit and Right to Repair Europe, released in September 2026, went through the official product register and found the required repair links mostly absent. Here is what the missing four-fifths looked like.

Where a repairability score stops helping you

A score only helps if somebody checks it. One year into Europe's version, an audit of the official product register found that most manufacturers had left the repair information field empty, and no regulator was systematically checking their entries.

The register is self-declared. A manufacturer types its own figures in, and the field for repair instructions went unfilled more often than it was filled. That is not an administrative gap around the mechanism. It is the mechanism.

So the useful reading of India's index is neither optimistic nor cynical. It is conditional. Notify it with an audit function and penalties behind it, and the score becomes worth reading. Notify it as a label with nothing enforcing it, and it becomes another sticker, and stickers have never lowered the price of a display assembly. My own view, offered as opinion rather than evidence: the parts-supply deadline is the single line in the framework that would move what you actually pay, and it is the one still left blank.

Does the United States have a right to repair law?

Not at the federal level. Coverage is state by state, and PIRG counted 25.75% of Americans living under an enforceable right to repair law as of January 2026, rising to at least 35.5% once Connecticut and Texas take effect later in the year. New York, Minnesota, California, Oregon, Colorado and Washington already have laws in force. The pattern is the opposite of a national framework, and it still moved manufacturers, which is the encouraging part of an otherwise messy picture.

• A high score with no parts in the country is a number, not a repair. Ask the service centre what it can actually order today.
• Voluntary onboarding means absence proves nothing. A brand missing from the portal has not failed a test, it simply never sat one.
• Adhesive is a price, not a design detail. A battery bonded to the chassis turns a routine swap into a screen-off job.
• Watch component prices alongside the score, because they move for reasons of their own, as the 2026 memory shortage made obvious.

Do one thing this week. Open the support page for the phone in your pocket and find two facts: how long it still gets security updates, and what a genuine display assembly costs. Those two numbers together tell you whether your next repair is a repair or a replacement, and no index will answer that faster than the manufacturer's own page does. The same instinct pays off further down the receipt, because the price you get shown is increasingly assembled from what a seller knows about you.

Your streaming bill did not go up this spring. Neither did your sister's, or your parents'. After three solid years of increase notices arriving like utility statements, the quiet feels like somebody finally blinked. It isn't that. The money just stopped moving through the part of the bill you actually look at.

Why It Matters

Ampere Analysis published a three-year pricing dataset in August 2026 covering Netflix, Disney+ and Amazon, and the headline holds up: the average annual price increase fell from 24% in 2023/24 to 14% in 2025/26. Two years, and the size of the ask nearly halved.

The obvious read is that competition finally worked. Or rather, that's the read most of the coverage settled on, and it's the one I'd argue is wrong. Nothing about this market got more competitive between 2023 and 2026. What changed is that households started cancelling, and a cancellation is worth far less to a streamer than a downgrade. So the industry built a downgrade worth having and made it the cheap answer to a question it asks you at checkout. Same logic as how your own data quietly sets the price you see: the price stops being a number on a rate card and becomes a function of what you will tolerate.

Watch where the growth actually went. Advertising is no longer a side experiment at these companies; it is the reason the subscription line can afford to sit still. Ad inventory scales with viewing hours rather than billing events, so a household that downgrades and watches more is worth more than one that pays more and watches less. Subscription pricing was a blunt instrument. Advertising is a meter. Charging for extra member slots after the password-sharing crackdown adds a second meter, pointed at people who were already inside the account. Anyone who has watched hardware you already paid for turn into a subscription will recognise the shape of it.

Four numbers make the shift legible: how long the trend has been running, what the ad-free choice now costs you above the ad plan, how many people took the other option, and how fast they are still taking it.

The sign-up share is the one worth sitting with. When a clear majority of new customers pick the advertising plan, the ad-free tier stops being the default product and becomes an upsell, and upsells get priced against willingness to pay rather than cost to serve. The ad-free price never has to rise for that premium to widen. The ad price only has to stay low.

What The Three-Year Data Actually Shows

The service-level breakdown is where the averages get interesting, because the three big platforms did not decelerate the same way or for the same reason. Netflix held its percentage discipline while still taking the biggest dollars per increase. The hardest braking came from Disney+. And Amazon's rises stayed small in cash terms while running enormous in proportion, which is what happens when the base price is low to begin with.

Read down the Detail column and the pattern separates cleanly from the headline. Every one of those service-level numbers describes a slowing rate of increase on the plan price. Not one of them describes the thing that grew, which is the distance between the two plans a subscriber is asked to choose from. That distance is the product now.

Across three years of tracked increases, ad-free plans absorbed roughly a third more per increase than ad-supported plans did, which is the mechanical reason the gap between the two keeps opening even in years when neither headline price moves much.

Friction Points

Jaanika Juntson, a senior research manager at Ampere Analysis, described the mechanism plainly when the data landed: advertising has become an increasingly important revenue stream that reduces reliance on subscription pricing alone, while password-sharing crackdowns let streamers generate more value from the audience they already have through extra member slots. Read that twice. Nothing in it is about giving anybody a better deal.

Here is the part nobody has measured, and I will flag it as my read rather than a finding: ad load on these tiers is not contractually fixed. A plan carrying four minutes an hour today can carry seven in eighteen months with no price change, no notification email, and nothing a comparison site would register as an increase. My expectation is that a good share of the next few years of margin comes from exactly there. The pace is a guess. The direction isn't.

The broader move should look familiar by now. Microsoft's paid extended security updates for Windows 10 took something that used to be included and put a price on it. Streaming is running the same play backwards: hold the price still, and quietly reduce what it buys.

• Check the ad-free premium on your own account rather than the headline plan price. The gap is where the increase now lives.
• An annual plan locks the price. It does not lock the ad load or the stream quality tier that price buys.
• Extra member slots bill and renew separately from the main plan, which makes them easy to forget and easy to keep charging.
• Retention offers surface at cancellation, not at renewal. The cheaper tier is usually available months before anyone shows it to you.

Open your account settings tonight and find what ad-free costs you above the ad plan. If that gap is larger than you would have accepted as a straight price rise, you already took the increase. You just took it as a choice, which is the whole point of structuring it that way. Downgrade or don't, but price it honestly first.

Your child spikes a fever at eleven at night. You open a retail app, type in baby thermometer, and the first page hands you the expensive ones. Not because they rank better. Because something in the profile attached to your account has decided you are a new parent, awake late, in no position to shop around. The Federal Trade Commission used almost exactly that scenario as its own illustration, which tells you it is not hypothetical.

Why It Matters

Start with the distinction the whole thing turns on. Dynamic pricing moves with supply, demand and inventory, and it hits everyone in the market at the same moment. Personalized pricing moves with you. The same product on the same page can carry a different number for you than for the person sitting next to you, because the retailer has built an estimate of what you specifically will tolerate. The first is economics. The second is a guess about your wallet, assembled from data you did not knowingly hand over for that purpose.

And here is the part most of the coverage underplays: the money is not the real injury. A few percent on a thermometer will not ruin anyone. The injury is that you cannot detect it. A shortage you can read about. A surge price announces itself in the checkout screen. A price built quietly from your browsing history looks exactly like an ordinary price tag, which is precisely why it works.

A January 2025 Federal Trade Commission study of six pricing intermediaries, Mastercard and McKinsey among them, documented what actually feeds these systems: precise location, browser and search history, cart abandonment, demographics, purchase history, and mouse movements on the page. Mouse movements. The hesitation before you click is an input. It is the same shape as a vendor rewriting the deal after you have already paid, the pattern behind cloud shutdowns bricking smart home devices you already own, except this one happens before the sale instead of after it.

Four figures explain the shape of the problem better than any argument about fairness does. One is a deadline. One measures who absorbs it hardest. One is scale. One is the reason the industry will fight for it.

Take the client reach figure. That is what separates this from a story about two or three technology giants running clever experiments on their own customers. These pricing engines are sold as a service, bolted onto grocery chains and apparel retailers that have never written a line of machine learning in their lives. Your local supermarket does not need a data science team to price you individually. It needs a vendor contract.

What The Proposal Actually Says

So what does it require, and where does it stop? Here is the whole of it, stripped of the compliance language the law firm client alerts are written in.

Read the safe harbour row twice. If a retailer prices you off your own purchase history on your own logged-in account, and says so plainly, it is compliant. That description covers a very large share of what grocery loyalty programmes already do today, which means the practice most shoppers would object to hardest is also the one most cleanly blessed.

Friction Points

The proposal does not ban any of this. It cannot, or rather the FTC says it cannot, reading its own authority as reaching disclosure and stopping there. Chairman Andrew Ferguson framed the expectation plainly: when consumers see a listed price, they expect it to be the same price that everyone else sees, not the retailer's estimate of how much they are willing to pay based on their personal data. That is an accurate description of what shoppers assume. It is not a description of what the policy delivers.

Here is where I part company with the optimistic reading. A disclosure tells you a price was personalized. It does not tell you whether yours is the high one. Without a baseline, without the unpersonalized number sitting beside it for comparison, the label is a weather warning with no temperature attached. My honest view is that this is the unsolved weak point, and the comment docket will not solve it either, because the obvious fix, publishing a reference price alongside the personal one, is the single thing retailers will refuse outright.

None of this is unusual for how consumer terms get rewritten on people quietly. It is the same posture as the way Windows 10 extended security update terms landed without an announcement, changed in place, visible only to whoever went looking. What you can control is your own measurement discipline. Four things are worth watching:

• Signed in versus signed out. If you only ever see the app's logged-in price, you have never seen the other one.
• Loyalty cards. The discount is real. So is the profile it builds while you collect it.
• Location permissions. Precise location sits on the FTC's list of pricing inputs, and most retail apps request it by default.
• Repeat visits. Cart abandonment is a documented input, so hesitating on a product page is itself a signal you are sending.

Do one thing this week. Pick something you buy on a schedule, check its price signed in on the app, then check it again in a private browser window with location switched off, and write both numbers down. If they match, good, you have a baseline. If they do not, you have learned more about how you are priced than any disclosure label is ever going to tell you. Start measuring now, while the comparison still surprises you.