Free the Database of Intentions: Could Google Thrive If It Gives Away Its Data?

Over the past 25 or so years, I’ve argued that Google has built a massive database of intentions – the aggregate result of every search ever entered, every page of results ever tendered, and every path taken (there’s a lot more to it, but that’s the key stuff). I’ve tracked this extraordinary artifact since 2003, and have come to believe that Google’s control over it has become a inhibitor to innovation and flourishing in our society.

The US government – yes, even this one – agrees with me. In the nearly three decades since Google first launched, the company has gone from champion of the open Internet to established monopolist whose principle business is protecting its profits. With the advent of consumer AI, that principle business is imperiled. Google is protecting a revenue stream that it must understand is no longer defensible, either by law or by practice.

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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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Google (And all of Tech) to News: Shove It.

There’s an old maxim in the news business: Stories in which a dog bites a man are uninteresting. But a man biting a dog? Now that’s worth writing up!

Last week Google released a report on the value of news to its business. Its conclusions minced no words. Here’s the money quote: “…news content in Search has no measurable impact on ad revenue for Google.”

On first glance, Google’s experiment feels like a Dog Bites Man story – everyone knows news doesn’t drive advertising revenue – hell, I lived that truth most of my career, most recently with The Recount, which attempted to convince advertisers to support high-quality news coverage across video and social media (we couldn’t). But look a bit closer, and you might just see a Man Bites Dog story after all.

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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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Can Bluesky Do Advertising Right? Yes.

Chart compiled based on various web sources for both early Twitter and recent Bluesky growth.

I’ve been in the business of making new kinds of media companies, media platforms, and media technologies since before the Web was born, and in every case I’ve partnered with the advertising industry to make it happen – an industry often reviled as the driver of “surveillance capitalism,” the attention-mining, data-driven monster supposedly at the center of the Internet’s enshittification. 

So I wasn’t shocked when Bluesky CEO Jay Graber acknowledged last week that advertising might be in the company’s future. The company is growing at a blistering pace, adding tens of millions of users in a matter of months. It costs dearly to service that kind of growth, and the company has investors to appease. Bluesky’s growth mirrors Twitter in 2008 – 9009 – the year that Twitter first raised capital at a billion-dollar-plus valuation. Twitter proceeded to introduce advertising as its core business model one year later, in 2010.

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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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Ads, Ads Everywhere

The Times’s piece decries all the ads on TV. But is this a surprise?!

The advertising world is uncomplicated at its core, and utterly bewildering when seen from the outside. The easy bit stems from a simple axiom: Wherever you can find the attention of potential customers, you pay to get your message in front of them. That’s the essence of advertising: paying for attention. It gets complicated by the details – the medium, the message, the targeting, the tech – but wherever customers gather, advertising will follow. There’s simply too much money to be made for it to be otherwise.

So it was utterly unsurprising to learn, a few hours ago as I write this, that there will soon be ads on PayPal, driven by the data the company collects. PayPal recorded 6.5 billion payments in the first quarter of 2024 alone, according to the Journal. The company plans on creating what’s known as a “retail media network” allowing advertisers to leverage PayPal’s data to target users both on platform and off.

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Vint Cerf: Maybe We Need an Internet Driver’s License

Vint Cerf is one of the most recognizable figures in the pantheon of Internet stardom – and as he enters his ninth decade of a remarkable life, one of its most accomplished. I had the honor of interviewing Dr. Cerf last month as part of the “Rebooting Democracy in the Age of AI” lecture series hosted by the Burnes Center for Social Change at Northeastern University. The conversation also served as the kick-off to my own Burnes Center lecture series, “The Internet We Deserve” where I’ll talk with notable business, policy, technology and academic leaders central to the creation of the Internet as we know it today (last week I spoke with Larry Lessig). 

Universally recognized as one of “the fathers of the Internet,” Cerf’s many awards include the National Medal of Technology, the Turing Award, the Presidential Medal of Freedom, the Marconi Prize, and membership in the National Academy of Engineering. Dr. Cerf received his PhD from UCLA, where he worked in the famous lab that built the first nodes of what later became known as the Internet. He has worked at IBM, DARPA, MCI, JPL, and is now Chief Internet Evangelist at Google. Cerf has chaired, formed, and participated in countless working groups, governing bodies, and scientific, technological, and academic organizations. 

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