No Opt-Out: AI Features You Cannot Escape

Every company and every tool now does it. Monday, Wix, Adobe, Gmail—literally everyone. You sign in to your favorite tool to do some work, and you’re welcomed back with a popup window you cannot ignore. “You can now use AI to [do a task inside the platform].” Adobe filled its tools with AI nudges that, really, no one requested. Canva repriced a subscription around features people never wanted or were interested in, and the industry debates only one thing: when do we board the bandwagon? The one option missing from every roadmap, though? Refusal.

Somewhere in the past 2 years, opening a PDF turned into a very exhausting negotiation. Acrobat wants to know whether I’d like the document summarized when my eyes haven’t yet had the chance to read a line of it. A glowing button trails me from page to page, at the margin sits an assistant panel, another banner suggests that I ask the AI instead of…reading. And it asks with the persistence of a street vendor. Adobe’s own forums are full of threads titled “STOP with the AI user prompts”, where customers trade instructions for burying the assistant several checkboxes deep in the preferences, then return to report that an update switched it back on. Mind you, that’s software you’re paying for with your hard-earned money, and somehow the companies gave that software a second job: selling you…more of the software.

None of this advancement in features arrived because users requested it. Granted, some people are AI power users and they love AI-littered features, even though they’re mostly basic API calls with tight system prompts. These features arrived because companies needed somewhere to put their AI, and the products were standing right there. Photoshop grew a floating bar of generative suggestions—every crop, export, every idle second became an occasion to be introduced to a feature. The industry calls this discovery. From my seat in front of a now unusable Photoshop, I prefer to call this being advertised to inside a tool I already bought, by the company I bought it from, to no avail so far.

§Priced In

These nudges would remain a cosmetic complaint or a usability issue if the bill had stayed still. It didn’t. In September 2024, Canva took its Teams plan (a flat $119.99 a year covering 5 people) and repriced it per seat. That’s roughly $500 for the same five people, an increase in the neighborhood of 300%, justified by “Magic Studio”—an AI suite the company valued with a straight face at “$720 worth of value per year”. Creative name by the way, kudos. Customers were not convinced that they’d asked for $720 of anything, really, and the backlash bought a partial retreat: existing teams were grandfathered and a “Pricing Promise” appeared, and the new rate stands for everyone who comes after.

Adobe ran the more devious version of the same play. In June 2025, the Creative Cloud All Apps plan became “Creative Cloud Pro”—ten dollars a month more, with a bundle of generative credits attached, whether you generate anything or not, and whether you liked it or not. There is, ostensibly, an escape hatch, a cheaper “Standard” tier introduced alongside. But it takes away more than just the AI features; the premium mobile apps go with it. And that’s if you’re lucky enough to find it, one renewal notice deep, where subscription inertia guarantees most people will never find it. The default path got the AI and the increase. That’s basically what no opt-out means. In practice, it’s not really a locked door; it’s just that the nudges in the hallway eventually push you into a room the company prefers.

I keep thinking about who, ultimately, absorbs this. The photographer who wants Lightroom for culling and color, the student who needs Acrobat because her university insists on it, a 5-person studio that lived on the old Canva rate. Each of these now funds the buildout of a technology they may never even touch, because the cost of the AI race is being collected in advance, from everyone, through the one channel that requires no consent. You can’t refuse the feature, so you can’t refuse its price either.

§Ship Now or Ship Late

Inside these companies, the argument isn’t surprising in the slightest. Should we board the bandwagon and repair in public, or hold back until the thing deserves to ship—and in the process, risk being a thing of the past. Adobe, Canva, and Figma took the first road. Figma took it at a sprint, unveiled Make Design at its own conference, and had to disable it within days when the tool kept producing near-clones of Apple’s weather app. The CEO blamed a rush toward the deadline and vetting that did not keep up. Which is the bandwagon strategy in full effect.

So the second road should look wise. How wise? Well, Apple took it, held its AI back, promised it would arrive finished. It fell into the ditch anyway (debatable, yes, and not entirely accurate). The pieces Apple did ship included notification summaries that rewrote BBC headlines into fiction, pulled from news apps within months, and the centerpiece, the personalized Siri announced in June 2024, was postponed in March 2025 with a statement that it would take “longer than we thought.” Patience turned out to protect nothing. Apple waited, and shipped the wrong parts anyway.

So what was the AI for? There’s no answer. Because both roads share an assumption they never examine, and it’s that the feature must exist. Timing is the only variable anyone debates, not whether the feature is justified. Whether a person mid-crop in Photoshop has any earthly need for a chatbot is treated as settled, evidently by the stock market rather than by anyone mid-crop. The nudges and the delays have the same origin when you think about it. The feature exists because AI exists, and the company must be seen having it.

In a similar light, Meta built Threads on that reflex with no AI involved. Which is how I know the reflex is the disease and AI only its current symptom. X was wobbling, a market window stood open, and Meta shipped into it. It took off, didn’t it? More than 100 million signups inside a week, the fastest launch any app had managed. Within two weeks, daily engagement had fallen by about 70%. By the end of July, 82%, with time in the app down from 19 minutes to just 4. Meta says the audience has grown since, and I want to believe it. What I can’t find is a reason to open the app. Threads shipped as a place to be, but without an answer to why anyone should be there, and an underthought product doesn’t vecome thought-through after its market window closes. It just persists.

My earlier essay argued that the modern release turns users into unpaid quality assurance. This is the sequel to that story. The users—we—are the budget. We test the half-finished feature, and we finance it, and the one line that you won’t find on a roadmap is the option to decline. I would settle for a checkbox that stays unchecked after an update. As of this writing, that is apparently too much to ask. Subscriptions keep renewing either way.

§Startups, and the Tipping Point

It could be that big companies are scared, or they’re simply excited. The AI era brought not only fear of being forgotten in an age of rapid technological advancement, but also excitement for two main things. One is engaging with truly exciting AI innovation. Two, which I think is more accurate, is potential for more money.

Companies do not think linearly. They operate on risk and power-law outcomes. Missing the bandwagon threatens extinction, because overspending on a bet like AI integration isn’t even considered loss, which makes the cost of being wrong only mildly annoying, even tolerable. However, the cost of being late is, to an extent, fatal. Adding a “copilot” to 20-year-old software suites, in the eyes of the company, justifies renewals. Who wouldn’t want a chatbot in every tool they open?

But startups have a huge advantage. They treat AI as the core architecture (“AI-native” is the word they use) designing autonomous, zero-human-in-the-loop systems from scratch. Big companies optimizing legacy workflow can’t outcompete a startup that makes the entire workflow obsolete.

Companies are paralyzed with legal, governance, copyright, brand reputation, and the best thing to ship in corporate paralysis is, apparently, an AI add-on. Big tech have a wide blast radius, unlike startups, which deploy brittle and frontier capabilities and iterate in production while the incumbent kings of the market spend quarters clearing internal compliance.

This isn’t in any way a competition to train a better base model, or tighten system prompts, or execute seamless AI integration within the product. Disruption rarely happens because of that. It happens, in my view, when the interaction paradigm shifts. When the primary software interface ceases to be a dashboard with buttons and becomes and “agentic” backend, rendering a company’s decade of UX lock-in, training certifications, and muscle memory worthless literally overnight.