Finally, Voice Interfaces For The Home (Predictions 2026, #6)

Cheer up, little guy. Better times are ahead.

Ten years ago a new and promising technology burst into our homes – the smart speaker. Like many tech-forward families, our household went all in. We got two Alexa speakers and two Google Homes, plugged them in, and they became fixtures in our kitchen and bedrooms for years.

Problem is, we kind of hate them now. At first they were cool – it was novel to talk to a device and have it actually work, at least for simple tasks like “what’s the weather today” or “play Vampire Weekend.” But we quickly grew disaffected with our new purchases, because more often than not, they failed when presented with even moderately complicated queries like “what time is the Giants game tonight” or “what’s on my grocery list.” In short, the first generation of smart home speakers were limited by a rigid approach to “intelligence” that didn’t scale. Only one sad, bedraggled Google Home remains in service in our kitchen, serving as a glorified clock radio (that’s it in the picture above). And it’s not doing Google any favors in the branding department, because whenever we ask it anything even slightly complicated, it fails, earning a string of expletives in the process*.

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The Year Tech Gets Even Bigger (Predictions 2026, #7)

If only Nano Banana could spell, AI would be a thing.

For the past many years one prediction has proven reliably accurate: There will be no significant Federal regulation of the technology industry. At times this stalwart prognostication has been tested by major anti-trust actions – but each has proven ultimately toothless. This year, for example, we’ll learn what the DOJ managed to accomplish in its second case against Google – and it’s still possible a judge will rule that the search and AI giant must divest itself of its adtech infrastructure. But I don’t think so. And even if that ruling does come to pass, Google knows it can simply appeal, dragging out any eventual impact until it wins a war of attrition with an increasingly feckless and uninterested DOJ.

Besides, arguing about the past is playing yesterday’s game, and in 2026, the game has reverted to an even older playbook. For the past five or so years, tech giants have had to play defense when it comes to M&A and sweetheart partnerships – Meta was being sued over its acquisitions of Instagram and WhatsApp, Google over its consolidation of adtech and its domination of search distribution through deals with Apple and Samsung, among others. But in 2026, the governors are coming off.

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Grading My 2025 Predictions

Nostradamus, so predictable.

All year long I monitor my annual predictions, taking note when events either make me a fool or a sage. 2025 marked perhaps the most unpredictable and frustrating year of them all – and that’s not nothing, given I started prognosticating in 2003. But then again, I did expect an odd one – from my 2025 post: “This isn’t going to be a normal year. 2025 will be strange, frenetic, and full of surprises.”

I titled my post “Tech Takes the Power Position.” While I didn’t make that sentiment one of my specifically numbered predictions, it did provide the context for how I was thinking about the year ahead. “We’re not accustomed to the tech industry having this much raw power. The finance industry? Sure…But this year, for the first time ever, Big Tech has leap-frogged finance in the pantheon of political influence…the subset of Big Tech bros who’ve bought their way into the Oval are evangelists for an untested and downright strange brand of magical thinking best summed up as “techno optimism.”  …for better or for worse, 2025 is going to be the year when the loudest voices in the room are all adherents of the Great Man Theory, and they all happen to have direct access to the Oval Office.”

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Google (and Apple) Get a Slap on The Wrist

Back in the day when I was covering Google on a daily basis, I’d have spent hours poring over yesterday’s news that the judge in Google’s landmark antitrust case essentially blinked. But twenty-odd years of experience leaves me with very little to say about how Google’s first anti-trust case has been resolved, other than this: It’s a nothing burger, with a side of same-as-it-ever-was.

Over the course of nearly four years since the government brought its case, a lot has changed:

  • The United States has veered away from liberal democracy toward illiberal autocracy, and the current administration is no longer interested in grand antitrust remedies that serve the public. Today, everything is seen through the lens of whether a given action or decision furthers the President’s power. Preserving the status quo gives him leverage over powerful actors – he can continue to threaten and bully, ensuring fealty and tribute. In this administration, as in Moscow, Pyongyang and Beijing, no one is allowed to have more power than the Dear Leader.
  • As I laid out in my predictions nine months ago, the tech industry is now the most powerful force in politics outside the President, and its two most muscular companies – Apple and Google – did not want their duopoly upended. We’ll likely never know what soft-power backroom deals were cut to avoid what nearly every legal scholar felt was justified action by the government, but to think those dynamics didn’t impact this decision is to ignore the reality of my first point above.
  • OpenAI’s existence became a convenient foil. The emergence of generative AI has given Google (and the judge in this case) the ability to argue that the DOJ was fighting yesterday’s war. Sure, Google might have been a search monopolist, but look – OpenAI is proof that the market is always smarter than government regulators! Never mind the fact that search literally built the foundation for generative AI, or that generative AI is the natural evolution of search – a product that Google will continue to dominate now that government remedies have been rendered toothless.

Google – and its $20 billion partner Apple – are likely doing cartwheels today. Wall Street certainly is.

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The Tech Industry Is Locking AI Into Old Models. That’s Bad for Everyone.

I’ve written a lot about AI lately, and I’ll admit, most of it is critical. Plenty of you have asked me why I’m so down on the sector. The crux of it is this: I think we’re approaching AI without considering history’s lessons, and because of that we’re failing to ask the questions that will matter as the technology becomes inextricably embedded in our culture.

Perhaps the most important question is metaphorical – what’s the best metaphor for how we interact with AI? We’ve got plenty of examples to chose from. Will our interactions with AI end up being like the PC – a personal device that we own and control? Or will it instead end up like social media or search (or worse, television) – a centralized service that is owned and controlled by large corporations?

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How On Earth Will OpenAI Hit $129 Billion in Four Years?!

Chart The Information

I’ve been traveling for the past week, and ignoring the news as best as one can while on the road. But when The Information posted this doozy of a story – OpenAI Forecasts Revenue Topping $125 Billion in 2029 as Agents, New Products Gain – I made a note to myself: Grok those numbers, and see what on earth is going on.

By the time I got home, Ed Zitron, currently the tech world’s most fervid antagonist – had beat me to it. Zitron dissembled The Information’s reporting, noting that the piece takes “great pains to accept literally everything that OpenAI says as perfectly reasonable, if not gospel, even if said things make absolutely no sense.”

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Who Owns Your AI Identity? (Hint: Not You)

As generative AI reaches a fever pitch of investment, product releases, and hype, most of us have ignored a profound flaw as we march relentlessly toward The Next Big Thing. Our most dominant AI products and services (those from OpenAI, Google, and Microsoft, for example) are deployed in the cloud via a “client-server” architecture – “a computing model where resources, such as applications, data, and services, are provided by a central server, and clients request access to these resources from the server.”

Now, what’s wrong with that? Technically, nothing.  A client-server approach isn’t controversial; in fact, it’s an efficient and productive approach for a company offering data-processing products and services.  The client – that’s be you and your device – provides input (a prompt, for example) which is relayed to the server. The server takes that input, processes it, and delivers an output back to the client.

Non-controversial, right? Well, sure, if the “server” in question is a neutral platform that’s only in the business of processing your data so you can use the services it offers. Banks, for example, use neutral client-server architectures to provide online financial services, as do most health care providers. The data you share with them isn’t used for anything other than the provision of services.

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Predictions 2025: Tech Takes the Power Position

Look, I’m not much of an AI image-generation prompt writer.

This isn’t going to be a normal year.

2025 will be strange, frenetic, and full of surprises, particularly for those of us who watch tech closely. We’re not accustomed to the tech industry having this much raw power. The finance industry? Sure. For decades, we watched leaders from Goldman rotate through every administration’s cabinet and economic team, and we got used to it. But this year, for the first time ever, Big Tech has leap-frogged finance in the pantheon of political influence. And while the finance bros have a reliable and predictable ideology – capital is king – the subset of Big Tech bros who’ve bought their way into the Oval are evangelists for an untested and downright strange brand of magical thinking best summed up as “techno optimism.” The sophomoric claptrap underpinning Andreessen and Musk’s approach to politics may not be representative of the tech industry overall, but for better or for worse, 2025 is going to be the year when the loudest voices in the room are all adherents of the Great Man Theory, and they all happen to have direct access to the Oval Office.

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Looking Back at 2024: How Did My Predictions Fare?

Nostradamus, so predictable.

Well, 2024 is in the books, and it’s time to grade my own homework. One year ago I posted my 2024 predictions, fresh off a so-so showing in 2023. So how’d I do this time? Pretty well, actually. To the results:

  1. The AI party takes a pause. One year ago I was skeptical that AI would continue its tear – it seemed to me we had a lot to process, both societally as well as in the tech itself. And while AI remained the top tech story, many of those stories were about how the technology seemed to be stalling. Halfway through the year, the Washington Post noted that “Wall St. Is Starting to See a Bubble.” By year’s end, the Journal declared “The Next Great Leap in AI Is Behind Schedule and Crazy Expensive.” Along the way, the headlines kept coming: “The Data That Powers A.I. Is Disappearing Fast,” “The AI Revolution Is Losing Steam,” the former top researcher at OpenAI seeing the “end of peak data,” the CEO of Google telling us that “the low hanging fruit is gone,” and finally, the Times, just this past week, asking “Is the Tech Industry Already on the Cusp of an A.I. Slowdown?” Prediction #1: Check.
  2. But Progress Continues… For my second prediction, I gave myself something of an out – yes, AI will take a pause, but there will still be a lot of interesting developments. And progress did indeed continue – tens of thousands of startups are toiling away at possible breakthrough applications, Google released Gemini, NotebookLM, and integrated Gemini into its core search and office products, OpenAI released SearchGPT and its reasoning models, AI-driven video became a reality at scale, Apple launched “Intelligence,” and everyone was madly trying to make “the agentic web” a thing (more on that in my 2025 predictions). So, check, lots of progress despite the pause.
  3. Big Tech’s Mid-life Crisis. “Every year it gets more difficult for the Amazons, Google, and Apples of the world to continue their ever-upward march” I wrote in defense of my third prediction, which inferred that the Apples, Googles, and Amazons of the world would, by year’s end, be seen in a worse light than at the start of 2024 (though I also said their stock prices would not suffer, and I certainly got that right!). While it’s not easy to prove, I think the narrative has largely held up. My reasoning here was that the tech industry was going to have to figure out what its role was in the world, now that it holds nearly limitless power. And I think that’s exactly what we got: The phrase “mid life crisis” certainly comes to mind for a particularly annoying group of big tech leaders – Elon Musk, Marc Andreessen, Jeff Bezos and their peers, all of whom became players in a particularly florid drama involving acting out about their own power, kissing rings to protect their wealth, defending their turf from endless government actions, creating self-glorifying ads that miss the point entirely, and throwing tin-eared parties for themselves all along the way. I’ll give myself a win here, though I’ll also admit it was a hard one to pin down.
  4. Fediverse Rising. For my fourth prediction I held that the protocol-driven “fediverse” would have a good year. This played out, both through the rise of Threads throughout the year (now at more than 100mm DAUs, and 275mm MAUs), and the late surge of interest in Bluesky, which is based on a similar federated approach. It didn’t hurt that sentiment around X plummeted, and many social media players began moving off TikTok for fear of a government ban currently slated for late January. Overall, I’d grade this one a win.
  5. Apple Gets Bitten. I predicted Apple would spend the year dealing with its inherent growth issues, adding that the company would come to be understood as a major player in the advertising business, which would hurt its self-proclaimed status as a privacy champion. That’s exactly what happened in the Spring, when the size of Google’s payments to Apple came to light as part of the DOJ’s antitrust suit against the search giant. Apple also had a miserable year when it came to new product releases: The Vision Pro failed to impress (and sold far fewer units than predicted), Apple released an absolutely tone-deaf ad for its new iPad, and its “Intelligence” product launched to less than stellar reviews. So yes, Apple did get bitten in 2024, but as I also predicted, the company’s stock was still up and to the right. For now, anyway.
  6. Bright Spots Emerge in Media. I know, it was mostly doom and gloom in media again this year. But not if you’re tracking new approaches to the media game – and there were plenty of them, if you looked hard enough. First off, of course, is the rise of “creators” and “influencers” – a recent Pew study found that one in five Americans now get their news from influencers, and that figure rises to 37 percent for those under 30. Add in AI-driven aggregation apps (Particle, Bulletin et al), the continued rise of newsletter platforms like Substack and beehiiv, the rush to Bluesky – one might make the case that media was starting to look interesting again in 2024. And hey, DOC launched too! But to be honest, I didn’t find enough “bright spots” to confidently claim this prediction as a win. I’ll take a push here.
  7. Cars Will Keep Their Drivers. OK, one could argue that since Waymo rolled out in San Francisco and several other cities this past year, I was utterly wrong when I wrote “even if driverless tech was ready for prime time, municipalities – whose approvals matter more than state and federal governments – are decidedly not.” Then again, a limited roll out in a handful of cities does not make 2024 “the year of the driverless car.” But, I know when I’m wrong, and I’ll grade this prediction a fail.
  8. Enterprise Data Moves Beyond Marketing. Nope – at least not in a way that anyone can explain. While it’s true that the entire corporate world is in a tizzy about data-driven AI models that will change….everything, I’m not seeing much proof out there, at least not yet. I wrote that “this coming year we’ll see at least a few touchstone examples of data-driven applications from enterprise players that change the way B2B leaders consider justifying their investments in IT. And for once, it won’t be to make a marketing campaign more efficient.” I sense this is happening, but I just don’t have the examples to show it. I’d love to hear about examples that prove me right, but…I don’t have any to grade myself as anything other than a push.
  9. The New York Times Loses Its Suit Against AI. A clear miss, because the suit is ongoing, though it certainly looks like the Times is on the wrong side of this from an industry perspective (more and more media companies are closing their eyes, hoping for the best, and taking the money).

Well, that’s the scorecard: Of nine predictions, five wins, two pushes, and two misses. Not bad, but also not my best year either. Next week I’ll publish my 2025 predictions – look for hot takes on AI agents, whether TikTok will actually be banned, and Big Tech’s banner year. Until then, thanks as always for reading, and have a wonderful holiday season.

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Predictions 2024: It’s All About The Data

Let’s talk 2024.

2023 was a down year on the predictions front, but at least I’ve learned to sidestep distractions like Trump, crypto, and Musk. If I can avoid talking about the joys of the upcoming election and/or the politics of Silicon Valley billionaires,  I’m optimistic I’ll return to form. As always, I am going to write this post with no prep and in one stream-of-conscious sitting. Let’s get to it.

  1. The AI party takes a pause. The technology industry – and by this point, the entire capitalist experiment – is addicted to boom and bust cycles and riddled with blinkered optimism. In 2023 we allowed ourselves to dream of AI genies; we imagined trillions in future economic gains, we invested as if those gains were a certainty. In 2024, we’ll wake up and realize – as we did with the web in the early 2000s – that there’s a lot of hard work to do before our dreams become a reality. I’m not predicting an AI crash – but rather a period of digestion, with a possible side of Tums. Corporations will find their initial pilots less impactful than they hoped, and when told of the sums they must spend to course correct, insist on cutting back. Consumers will become accustomed to genAI’s outputs and begin to rethink their $20 a month subscriptions. Growth will slow, though it will not stagnate. Regulators around the world will take the year to move past Terminator nightmares and into the hard work of deeply understanding AI’s societal impact. IP holders – artists, newspapers, craftspeople – will press their lawsuits and infuse the market with uncertainty and hesitancy. In short, society will take a pause that refreshes. And that will be a good thing.
  2. But Progress Continues… It may feel like a pause, but below the tech media scorekeeping narrative, a growing ecosystem of AI startups will make important strides in areas that will matter beyond 2024. AI is driven by data, and as a society we’re not particularly good at structuring, governing, or sharing data. It makes sense that big companies with access to unholy amounts of structured data pioneered the AI era. (Of course, if you’re not a big company, and you want access to massive amounts of data, it helps to just take it without asking permission). But the AI-driven startups that will make waves in 2024 will do so by structuring discrete chunks of valuable information on behalf of very specific customers. It won’t make many headlines, but taken collectively, it’s this kind of work that will lay the groundwork for AI becoming truly magical. Read More
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