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The AI phone era is coming, and the weird brands may not survive it

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What happens to the oddballs when AI becomes the price of admission?

I’ve always had a weakness for the weirdos of the phone world. Brands like Meizu, Fairphone, Unihertz, and Murena — they never tried to beat Apple at its own game. They made Android feel less like a foregone conclusion. Fairphone stubbornly insisted on repairability. Unihertz shipped tiny, baffling phones. Murena tried to sell you a phone that actively resisted Google. They weren’t perfect, and most never sniffed the mainstream, but they kept the smartphone market feeling alive around the edges.

Now the AI phone push is here. And it’s starting to look less like a creative renaissance and more like a cover charge — one that many of those small, strange brands simply can’t afford.

Meizu said in early 2024 that it would abandon traditional smartphone projects and pivot entirely to AI-enabled devices. That sounds futuristic until you realize it’s really a warning label.

The rich end gets to define the future

Apple doesn’t need to own the entire phone industry to bend it toward Cupertino. According to the Wall Street Journal, Apple shipped roughly one in five of the 1.3 billion smartphones sold last year — that puts it near Samsung and Xiaomi on raw volume. But the real control starts higher up the price ladder.

In phones priced at $600 or more, Apple controls more than two-thirds of the segment. At $1,000 or more, it takes more than three-quarters. That’s already lopsided. But it looks even harsher when you consider that overall smartphone shipments are forecast to fall while premium phones are still expected to grow.

The safest money in the industry is gathering around the richest buyers, the strongest ecosystems, and the companies that can raise prices without torching their customer base.

AI raises the cover charge — and it’s steep

AI makes that imbalance harder to ignore because it raises the price of being taken seriously. A smaller brand can still buy a decent OLED panel, tune a passable camera, ship a fast charger, and build something with more personality than another glass rectangle wearing a camera island like a backpack.

The next round demands more. AI phones need newer chips, more memory, cloud infrastructure, model partnerships, longer software support, and a marketing budget big enough to convince people to use the assistant they ignored last year. Counterpoint Research expects GenAI-capable phones to reach 45% of global shipments in 2026, up from 36% in 2025. That makes AI feel less like a bonus feature and more like the next entry fee.

The squeeze isn’t just in software. Reuters reported that IDC expects the smartphone market to see its biggest-ever decline in 2026, partly because AI infrastructure demand is driving up memory costs. Low-end Android makers are expected to take the hardest hit. Premium brands can absorb the shock or pass it along to customers.

Memory costs are the hidden tax

Samsung and other memory manufacturers are prioritizing high-margin AI chips over traditional DRAM and NAND. That pushes up component prices across the board. For a small brand operating on thin margins, a sudden memory price hike can wipe out an entire product line.

The weird brands are running out of room

Some smaller phone brands were niche for good reasons. Some made genuinely bad software. Some treated updates like seasonal gossip — unreliable and eventually abandoned. But the useful ones still kept Android from feeling pre-chewed. The Android world was already watching Oppo, Realme, Vivo, and OnePlus blur into each other before AI became the new seriousness test.

Meizu isn’t the whole story, but it’s a painfully tidy example. A brand that once helped make Android feel less uniform now has to explain its future through AI roadmaps and ecosystem language, because that’s where the industry has decided seriousness lives.

That’s the part I don’t want to lose in this next phone cycle. Odd little brands shouldn’t have to beat Apple to justify existing. Sometimes the useful thing is simply having a phone industry where good, strange devices can hang around long enough to make the giants look a little less inevitable.

AI is being sold as the thing that will make phones more personal. The bleak joke is that the companies most likely to survive the shift are the ones large enough to make every phone feel a little more the same.

If you care about keeping the weird alive in tech, small phone brands worth watching might give you a reason to pay attention. But don’t wait too long. The AI era doesn’t have much patience for the strange.

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Google’s Gemini Notebook Now Lets You Cite Books You Own — Here’s How It Works

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Google’s Notebook AI Just Got Smarter — With Your Bookshelf

If you’ve ever wished your AI assistant could quote directly from a cookbook you own, or pull a specific argument from a biography sitting on your digital shelf, here’s the news you’ve been waiting for.

Google is rolling out a new capability for Gemini Notebook (the tool formerly known as NotebookLM) called Expert Intelligence. The name sounds fancy, but the idea is simple: instead of only drawing from documents you upload or pages you link, the AI can now tap into digital books you’ve actually purchased from the Google Play Books library.

That’s right — your personal library becomes a source. No more copy-pasting excerpts or hoping the AI finds a relevant PDF. If you own the book, you can cite it directly.

How Expert Intelligence Works in Practice

Let’s say you’re planning a week of dinners built entirely around chicken and spinach. Instead of scouring the web, you can ask Gemini to pull recipes from a Martha Stewart cookbook you own. The AI will search the text, pull relevant passages, and cite them as sources.

But it doesn’t stop at recipes. You can turn any owned book into a variety of formats:

  • Infographics — visual summaries of key concepts from the book.
  • Audio Overviews — listen to a conversational recap of the material.
  • Quizzes — test your understanding based on the book’s content.

It’s a natural extension of what NotebookLM already does with uploaded sources, just with a much more curated pool of knowledge.

Not a Free-for-All: Sharing Has Limits

Here’s a catch that’s worth knowing before you get too excited. If you create a shared notebook and add a book as a source, your collaborators can’t just freeload off your purchase. They’ll need to own or buy their own copy of the book to fully use Expert Intelligence. Google’s being careful about copyright, and that’s probably wise.

Which Publishers Are On Board?

The feature launches with a solid lineup of major publishers. We’re talking Bloomsbury, De Gruyter Brill, Johns Hopkins University Press, Macmillan Publishers, O’Reilly Media, and Penguin Random House. All told, that’s over 100,000 titles available from day one.

That’s a big deal for students, researchers, and lifelong learners who already rely on NotebookLM for organizing their research.

Free Book Offer — But Act Fast

To kick things off, Google is giving away one free book to users in the US. The catch? It’s “while supplies last,” so you’ll want to check the app sooner rather than later if you’re interested.

It’s a smart marketing move, honestly. Get people hooked on the feature with a freebie, and they’ll likely buy more books to keep using it.

What About the Main Gemini App and Search?

Right now, Expert Intelligence is available only in the Gemini Notebook app and its web dashboard. But Google has confirmed it’s planning to bring the feature to the core Gemini app and AI mode in Search down the road.

That expansion could be huge. Imagine asking Gemini in Search to explain a concept “according to this book” and getting a cited answer pulled straight from the text. It’s a glimpse of where AI-assisted research is heading.

Featured Notebooks: Extra Insights from Authors

Beyond the book-citing feature, Google has partnered with a handful of authors to create Featured Notebooks. These offer additional insights that go beyond what’s in the book itself — think of them as bonus material, but integrated right into your research workflow.

It’s a nice touch that adds value for readers who want more context or behind-the-scenes thinking from the authors they admire.

Why This Matters for Your Research Workflow

If you’re already using NotebookLM for projects, this is a meaningful upgrade. You no longer have to juggle between your book library and your notes app. The books you own become part of your AI-powered research stack.

That said, it’s not a replacement for critical thinking. The AI is still pulling from what it finds, and you should always verify the context. But as a starting point for essays, reports, or even just personal learning, it’s a powerful tool.

For more on how to get the most out of Google’s AI tools, check out our guide on using NotebookLM for research and our rundown of Google AI features for productivity.

So, is Expert Intelligence worth trying? If you own books on Google Play Books and you’re already in the Notebook ecosystem, absolutely. Just remember to check the free book offer before it runs out.

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Google Dreambeans AI app: Your personalized daily feed is now free — here’s how it works

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Google just made Dreambeans free — what changed?

Google has quietly dropped the paywall on Dreambeans, the Dreambeans AI app that curates a personalized daily feed of stories just for you. Starting now, any Google Account holder in the US can try it without spending a dime. The news first surfaced via 9to5Google, and it’s a significant shift from the app’s earlier rollout.

Dreambeans first appeared in June, but only for Google AI Ultra subscribers. Later, it expanded to AI Pro users. Now? It’s open to everyone. That’s a big deal for anyone curious about AI-driven content discovery but not ready to pay for a subscription.

Setup isn’t instant, though. Google says it takes about a day for the app to generate your first set of stories. The app itself is available on both Android and iOS, so you can start the process on your phone and check back tomorrow morning.

How the Dreambeans AI app builds your daily feed

Think of Dreambeans as a hyper-personal version of Google Discover, but smarter. With your permission, it taps into several Google services to understand what you care about. Here’s the breakdown:

  • Gmail and Workspace — Provides real-world context like receipts, bookings, or an upcoming flight.
  • Google Photos — Picks up on the people and places you frequently capture.
  • Calendar — Notes events and appointments that might spark story ideas.
  • YouTube — Tracks your active hobbies and viewing habits.
  • Search history — Flags interests you’re just beginning to explore.

Every morning, the app stitches these data points into a fresh batch of story suggestions. That could be a hike worth trying, a new restaurant in your neighborhood, or an event happening nearby. It’s not just generic content — it’s tailored to your life.

Custom artwork, not stock photos

One of the coolest touches? Each story comes with custom artwork generated by the Nano Banana image generator. Instead of boring stock photos, you get illustrated scenes that often depict you and people you know. It adds a personal, almost whimsical feel to the feed.

More Google Labs experiments worth trying

Dreambeans isn’t the only experiment coming out of Google Labs lately. If you run a small business, Pomelli can now build your entire brand identity from scratch — from your color palette to a full working website. That’s a serious time-saver for entrepreneurs who don’t have design skills.

For music lovers, ProducerAI lets you describe a song idea and walk away with actual beats, album art, and even a music video to match. It’s a wild tool for hobbyists and creators alike.

If you’re a student, there’s another perk worth noting. Google is offering a free year of Gemini AI Pro through a new student hub. That’s a smart move if you want to test premium AI features before committing to a subscription elsewhere.

Is Dreambeans the next big thing in AI feeds?

Honestly, it’s too early to say. But the move to make it free suggests Google is serious about gathering user feedback and refining the product. The AI feed space is getting crowded, with competitors like Microsoft and various startups pushing their own personalized content engines.

What sets Dreambeans apart is the depth of integration. It’s not just scraping public data — it’s reading your inbox and your photo library. That’s powerful, but it also raises privacy questions. You’ll need to weigh the convenience against the data access.

For now, if you’re in the US and curious, it’s worth giving it a shot. The setup takes a day, but the payoff is a feed that actually feels like it knows you.

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Sony Music, Warner Chappell sue Anthropic, accusing AI lab of ‘brazen’ copyright theft

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Publishers take Anthropic to court over training data

Sony Music Publishing, Warner Chappell, and a coalition of other music publishers have filed a lawsuit against Anthropic and its co-founders, Dario Amodei and Benjamin Mann. The complaint, lodged late Friday in the U.S. District Court for the Northern District of California, accuses the AI lab of running a “brazen campaign of illegally torrenting, scraping, and downloading copyrighted works.”

This is more than a routine licensing dispute. The publishers are alleging what they call “blatant theft” — that Anthropic used thousands of copyrighted songs, lyrics, and sheet music to train its Claude AI models without permission or payment.

Anthropic isn’t staying quiet. “We disagree with the publishers’ claims and we intend to defend ourselves robustly in court,” a spokesperson told TechCrunch in an emailed statement.

Not the first IP fight for Anthropic

This isn’t Anthropic’s first rodeo in court over intellectual property. Some of the same lawyers behind this case previously represented Concord Music Group and Universal Music Group in a January lawsuit. They also led the Bartz v. Anthropic case, where a group of authors accused the company of using copyrighted books to train Claude.

In the Bartz case, a judge ordered Anthropic to pay $1.5 billion. The ruling was nuanced: using copyrighted works to train AI was deemed legal, but obtaining that content through piracy was not. That distinction matters here.

What’s different this time?

The new lawsuit is notably broader than its predecessors. It accuses Anthropic of “flagrant piracy” through illegal torrenting to secure millions of copies of books — including works containing lyrics and sheet music. The publishers argue this wasn’t just a copyright gray area; it was outright theft on a massive scale.

Legal experts will likely debate whether this case breaks new ground or simply extends the arguments from Bartz. Either way, the music industry is clearly drawing a line in the sand.

Why the music industry is pushing back

For publishers, the stakes couldn’t be higher. If AI companies can freely train on copyrighted music without compensation, the value of their catalogs could plummet. Lyrics, after all, are the backbone of countless streaming services, karaoke apps, and print publications.

This lawsuit isn’t just about money. It’s about control — who gets to decide how creative works are used in the age of generative AI.

What happens next

Anthropic has vowed to fight the claims. The company’s defense will likely hinge on the same arguments that partially succeeded in Bartz: that training on copyrighted material is transformative and should be allowed under fair use.

But the piracy angle complicates things. Torrenting, even for AI training, carries a different legal weight than simply scraping publicly available data. If the publishers can prove Anthropic knowingly engaged in illegal downloads, the court may not be sympathetic.

This case is one to watch. It could set a precedent for how AI companies source their training data — and whether the music industry can demand a slice of the AI pie.

For more on how AI is reshaping creative industries, check out our piece on AI music generation copyright issues and how AI companies handle licensing disputes.

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