Should AI Write Our Fiction?

I’m going to try to write something difficult. I don’t know if I’m going to pull it off, but that’s kind of the point. This is how writers improve: We tackle something we’re not sure we can do. Along the way, I am committing a minor sin in the world of writing – I am writing about writing.

But wait, don’t bail, here’s a topical tidbit to keep you engaged: I’m also going to write about AI, and who doesn’t want to hear more about that?! My prompt, as it were, is “Audience of One,” a post by Mario Gabriele, who writes the interesting and hyperbolic newsletter The Generalist. Gabriele’s optimistic prose focuses on venture, startups, tech, and tech culture. I find his work thought provoking and sometimes infuriating. “Audience of One” falls into the latter category.

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“Ready Later This Year”

After I write my annual predictions, I keep a little file of stories that relate to my prognostications. The most active one so far – if you tune out my opening line that “this is not going to be a normal year” – is #3: “2025 will not be the year AI agents take off.” It may be hard to recall, but by the end of last year, AI agents and “the agentic web” were all the rage, pushed as the Next Big Thing by just about everyone who had a stake in tech’s Numbers Go Up economy.

But it struck me that there was a lot of wood to chop between the hand waving of tech optimists and the reality of how complex systems actually work. I noted that the most significant structural impediment was Big Tech’s business model, which is reliant on consumer advertising and enterprise subscriptions and sales. Agents, as I pointed out in Where’s The Business Model in Chat-Based Search?, will likely undermine traditional consumer advertising models employed by Google and Meta. As for the enterprise, well, inter-operability been the bugaboo and the holy grail of enterprise software for as long as enterprise software has existed. Without protocols that allow developers to integrate across diverse systems, agents are never going to take off.

It takes years, not weeks, for such protocols to emerge and gain widespread support. Earlier this year I wrote about Anthropic’s MCP, which addresses a core issue: data connectivity (OpenAI recently announced support for MCP.) But MCP doesn’t address a host of other integration issues, including user interface, directory services, communication handling, and many other dull-but-important tasks. Aware of this problem, Google this week announced another protocol: A2A.

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Facebook Goes Backward. Why?

Earlier this week I met a fellow who, among very many other things, is a member of a bicycling group based where I live. Given that I live in a pretty small community, I was stunned I’d never heard of the club, which has 900 active members and runs four or five organized rides a week. How’d I miss it?

Well, the fellow told me, it’s a Facebook group. You should join! For the first time in ages, I fired up Facebook with the intention of actually doing something useful. I applied to join the group, then promptly forgot about it. I lost the habit of checking into Facebook more than a decade ago, and I have all notifications from the app turned off.

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Where’s The Business Model in Chat-Based Search?

 

Google’s AI Overviews feature in its main search service.

Two years ago I wrote a series of posts exploring the business model and interface implications of generative AI-based search. At the time, it was not clear how Google would respond to the existential threat that ChatGPT and its peers seemed to present. If it took root, a chat-like interface to search would fundamentally disrupt Google’s core revenue model. What was the company going to do about that?

I noted that six months into the GPT revolution, Google’s response seemed to be overly cautious. I encouraged the famously slow-moving company to go on offense: “It’s time to push something out to market, it’s time to declare yourself the leader in this new market, and it’s time to lay out a vision for what the future of computing will look like,” I wrote. “Imagine if they had waited until they figured out how to make money before launching Google Search?”

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Data Everywhere, But Not a Drop to Drink

This is not the network standard we’re looking for.

Three months ago I published my annual predictions, and while I rarely revisit them in the middle of the year, I do want to note an interesting development related to prediction #3, which states: “2025 will not be the year AI agents take off.”

Here’s what I said back in January:

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How Is AI Changing Search? ¯\_(ツ)_/¯

New data highlighted in Casey Newton’s Platformer newsletter codifies what most of us have already assumed: AI chatbot usage is starting to reshape search. And when search changes, so does the Internet as we know it. Unfortunately, the data lacks a fundamental denominator, and as such, only serves to feed the signal-free hype cycle we’re currently in.

The data comes from Adobe’s Analytics platform customers, and it paints a fascinating if incomplete portrait of how consumers conduct their online research. Yes, traffic from AI chatbots has risen more than 1000% since last summer, but….on what base? Take a look at this chart:

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Tech Used To Be Magical. Why Isn’t It Anymore?

I’ll ask you kindly to get the fuck off my lawn now.

I’ve been pondering something for a while now, but have held off “thinking out loud” about it because I was worried I might sound like a guy yelling at the kids to get off his lawn. But f*ck it, this is my site, and I think it’s time to air this one out: Technology isn’t delivering on the magic anymore. Instead, it feels like a burden, or worse.

For decades, digital technology delivered magical moments with a regularity that inspired evangelical devotion. For me, the very first of these moments came while using a Macintosh in 1984. Worlds opened up as that cursor tracked my hand’s manipulation of the mouse. Apple’s graphical user interface – later mimicked by Microsoft – was astonishing, captivating, and open ended. I was a kid in college, but I knew culture, business, and society would never be the same once entrepreneurs, hackers, and dreamers starting building on Apple’s innovations.

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When Tech Gets Too Big To Fail

I opened my annual predictions last week by noting that the technology industry had leapfrogged finance as the most powerful political force in the business world. But the news today that Meta is all but abandoning content moderation in favor of a decidedly Trump-friendly “let them say whatever the f*ck” approach has prompted me to revise that sentiment a bit.

It’s not that Tech has overtaken Finance. It’s that Tech has…become Finance. It’s become the most rapacious, amoral, win-at-all costs industry in the world. Consider:

  • Meta not only abandoned its content moderation practices (which, in turn, will allow it to supercharge its business model), it’s also building AI engagement chatbots aimed at juicing its bottom line, hired a Trump loyalist (and proponent of violence as entertainment) to join its board, and elevated a Trump devotee as its head of policy and communications. The company has pulled out every possible stop to ensure it profits from the next four years of Trump rule.
  • The global financial system is now dominated by the stock performance of tech companies. Nine of the top 10 S&P stocks by weight are tech companies. The entire S&P 500 is, in the words of one economist, “simply NVIDIA in drag.” When this is the case, finance becomes beholden to tech; now it’s tech companies, not banks, that are “too big to fail.”
  • The CEOs or founders of OpenAI, Apple, Amazon, Meta, Ripple, Robinhood, and countless others have given large sums of money to Trump in recent weeks. It’s difficult to see this payola as anything more than bribes and down payments meant to protect Tech’s position in a new world order built on … Tech.
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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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