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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The Tragedy of Generative AI 

Yes, I have no patience for perfecting image prompts using AI.

Listen up, tech oligarchs; lend an ear, simpering brohanions. We’re doing this generative AI thing all wrong, and if you continue down your current path, your house of cards will fall, leaving all of us wanting, but most importantly, leaving you out of power. And given that you value power over all else, it strikes me it might be in your own self interest to consider an alternate path. 

Here’s the problem: you’ve managed to convince nearly all of us that sometime real soon, generative AI will deliver us powerful services that will automate nearly every difficult and/or deadly boring task we currently have to perform. From booking complex yet perfectly priced itineraries to delivering personalized health diagnoses that vastly outperform even the most cogent physician, your AI agents have us starstruck, bedazzled, and breath-baited.* 

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Technology, Humanity, and the Existential Test

I’m still digging through some of the pieces I posted at the now defunct NewCo Shift, and found this piece, adapted from a talk I gave at the Thrival Humans X Tech conference in Pittsburgh back in September of 2018. I was alarmed by trends that I saw intensifying – a push by the tech industry to deregulate their power, the growing influence of private company algorithms on public domains, the rise of autocratic politics and “technocapitalism.” Six years later, it feels like I could give this talk again today, nearly word for word – and it’d be even more relevant. 

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Consume First, Deal with the Shit Later

https://dailymontanan.com/2021/06/12/big-bad-forest-clear-cutting-continues/

Websites are Blocking the Wrong AI Scrapers (Because AI Companies Keep Making New Ones) – 404 Media

***

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What’s SearchGPT Really About? Moving Past the Training Data Dilemma.

This morning we awoke to one story dominating the tech news landscape: OpenAI is “expanding into search,” launching SearchGPT, a prototype that appears to be a direct competitor to Google (and Bing and Perplexity, not that they really matter). But despite the voluminous coverage, my initial take is that once the hype cycle passes – I give it a day or two – OpenAI’s true goal will emerge: fixing the optics of its approach to training data.

The company doesn’t have the resources to take on Google on its core turf. So why announce SearchGPT now? This is speculation, but I’d wager it’s because the company is in a perilous place. It built its business – one that could lose up to $5 billion this year – by scarfing up the entire Internet, mostly without permission. It’s facing a serious backlash from both established publishers and governments. In response, it’s been busy cutting deals with as many partners as it can, and this search prototype feels driven by those optics.

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Can GenAI Change Big Companies?

A quick note to point you toward this piece I wrote for P&G’s Signal publication. Since its inception, I’ve been co-editor of the monthly outlet, which covers innovation in large enterprise. This month I went in search of proof that the hype around generative AI – fueled in large part by both Google and Microsoft – had any merit. Turns out, it actually does. It’s still early, but the two examples I found, at Air India and Bayer, show tangible results and some promising implications for more impact to come.

Back in the day, I used to cover what was once called “corporate computing.” I got to dust off some old skills and talk to some interesting folks. Give it a read, and let me know what you think.

Working with AI in the Enterprise

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Will GenAI Kill The Web?

The Atlantic is out with a delicious piece of doomerism: It’s The End of the Web As We Know It. Were it not for the authors, Judith Donath and Bruce Schneier, I’d have passed right on by, because well-respected publications have been proclaiming the death of the Web for more than a decade. By and large they’ve been proven directionally right, but it’s taking a lot longer than most predicted. Much like the Earth’s coral reefs, the Web has been dying off in waves. In their piece, Donath and Schneier argue that generative AI augurs the Web’s final stage of life. The coup de GPT, if you will.

Donath and Schneier are more thoughtful than your average trend-spotting feature writers. Donath, a fellow at Harvard’s Berkman Center, is the kind of digital polymath I’ve admired for years, but who’s been relatively quiet of late. No longer. And Schneier, a security expert, writes smart stuff about nearly everything I care about as it relates to the Internet. It’s fair to say I’ll read just about anything he writes.

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Mine, Mine, All Mine

The original MusicPlasma interface. Author’s musical preferences not included…
  1. No Longer Mine 

When I write, I like to listen to music. Most of my first book was written to a series of CDs I purchased from Amazon and ripped to my Mac – early turn of the century electronica, for the most part – Prodigy, Moby, Fat Boy Slim and the like. But as I write these words, I’m listening to an unfamiliar playlist on Spotify called “Brain Food” – and while the general vibe is close to what I want, something is missing.  

This got me thinking about my music collection – or, more accurately, the fact that I no longer have a music collection. I once considered myself pretty connected to a certain part of the scene – I’d buy 10 or 15 albums a month, and I’d spend hours each day consuming and considering new music, usually while working or writing. Digital technologies were actually pretty useful in this pursuit – when Spotify launched in 2008, I used it to curate playlists of the music I had purchased – it’s hard to believe, but back then, you could organize Spotify around your collection, tracks that lived on your computer, tracks that, for all intents and purposes, you owned. Spotify was like having a magic digital assistant that made my ownership that much more powerful. 

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Larry Lessig – Why Can’t We Regulate the Internet Like We Regulate Real Space?

Wikipedia

I’ve known Larry Lessig for more than 25 years, and throughout that time, I’ve looked to him for wisdom – and a bit of pique – when it comes to understanding the complex interplay of law, technology, and the future of the Internet. Lessig is currently the Roy L. Furman Professor of Law and Leadership at Harvard Law School. He also taught at Stanford Law School, where he founded the Center for Internet and Society, and at the University of Chicago. He is the author of more than half a dozen books, most of which have deeply impacted my own thinking and writing.

As part of an ongoing speaker series “The Internet We Deserve,” a collaboration with Northeastern’s Burnes Center For Social Change, I had a chance to sit down with Lessig and conduct a wide-ranging discussion covering his views on the impact of money in government’s role as a regulator of last resort. Lessig is particularly concerned about today’s AI-driven information environment, which he says has polluted public discourse and threatens our ability to conduct democratic processes like elections. Below is a transcript of our conversation, which, caveat emptor, is an edited version of AI-assisted output. The video can be found here, and embedded at the bottom of this article.

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