I’ll Be Framing My AI Check

This is a fake check!

I’ve always loved writing, and took to this form – the “thinking out loud” version of blogging – more than 20 years ago. I started Searchblog after I sold my first book, which focused on the impact of search on business and culture.  I decided I’d chronicle my reporting and build my voice by posting as often as I could, and the experience proved to be a watershed moment in my career. I built an audience that numbered in the hundreds of thousands, noticed scores of others doing the same, then launched a new company (Federated Media) based on insights from the experience.

The early 2000s marked the apex of what is now called “the open web,” and today two stories may as well be considered obituaries for the era.  The first, by Kate Conger at the NYT, lays out the mechanism for the open web’s demise: “Google Is Building an A.I. Fence Around the Internet It Once Championed.” The second brings news of a $1.5 billion settlement in a massive copyright infringement lawsuit targeting the AI industry. As an author, I’m a party to that suit – and at some point in the next year, a check from Anthropic will wend its way through the mail to me. A coda, of sorts, for an era already passed.

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Again, What About the AI Ads?

Last month the FT reported that OpenAI was going all in on a “super app” that combines agents and coding, a move clearly designed to compete with Anthropic, which dominates the “get work done” market with Claude CoWork. “Chat is dead” as the principle interface for ChatGPT, according to OpenAI execs quoted in the FT piece.

At the time, I wondered out loud: If “chat is dead,” what happens to OpenAI’s promises of $100 billion in advertising revenue by 2030? Given the “surface” for that revenue was supposed to be chat, it seems contradictory to fold it into a paid subscription product focused on white collar workers.

A version of the super app (called “ChatGPT Work”) launched this week and early reviews are mixed: chat has been demoted, the UI is messy and confusing, but the “work” portion of the app is cheaper than Claude and quite good overall.  I’m sure the app will quickly address those UI issues, but I’m still left scratching my head: What about the ads? If I were considering investing in OpenAI’s ads, I’d certainly want an answer to that question.

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The Rhymes of Tech History

Big Brother, indeed.

It seems ridiculous now, but when I was a cub reporter covering the tech industry, our publication had an entire beat focused on word processing – and it was one of the most sought after assignments in the newsroom. We had another reporter who focused on spreadsheets. Because I was the new kid, I covered databases – databases! – and other reporters covered desktop publishing software and utilities. At just one publication, that’s a half a dozen full-time reporters tracking and analyzing applications that have mostly faded into the background noise of today’s tech industry. At the time (late 1980s), there were at least a dozen outlets doing the same thing.

Think about that – nearly one hundred journalists covering workplace software!

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Who Stole My Alpha?

Have you seen Alex Karp’s rant on CNBC? I fielded this question about a dozen times over the past week. If you’ve not yet watched, it’s well worth your time. In a conspiratorial diatribe against the evils of monopoly-crazed frontier labs, the founder of defense-tech giant Palantir asserts that OpenAI, Anthropic, and Google are ruining our economy by “stealing our alpha” (more on that in a second). And because he’s a founding member of the Valley’s newly emboldened MAGA elite, Karp manages to toss in a few unhinged political dog whistles, implicating both UC Berkeley and “wealth taxes” as complicit in the downfall of civilization as we know it.

Despite obviously talking his own book – Palantir sells an application layer that sits above frontier models and ensures clients will not have their “alpha” stolen – Karp makes a point that has resonated deeply across not only tech, but the entire economy. “He’s not wrong…” is how several of the emails I’ve received have begun. “He’s got a point,” they continue, “even if he is kind of toxic.”

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The Economics of AI Are Shifting

CNBC chart

One of the best ways to find signal in the noise of a major technological shift is through the time-tested journalistic tactic of following the money. Back in January I predicted that in B2B markets, AI Can’t Cost This Much. I argued that “pricing the future based on the cost of the present is a losing bet … However many trillions will be spent on AI over the course of the next decade, one thing will remain constant: There are huge opportunities to be exploited in finding more efficient and less expensive ways to deliver technology to both consumers and businesses.”

Nearly three years before writing that post, I made another prediction, this time in consumer markets: It would soon be normal for consumers to pay as much as $200 a month for AI services. Combined, we pay more than that for mobile phone, cable, and internet services, after all.

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How Can You Trust the News?

The single most essential ingredient of good journalism is trust. By that measure, journalism is in a very bad way: According to The Reuters Institute’s annual survey, only 37 percent of the global public trusts the news industry, down nearly 20 points from ten years ago. In the US, that figure stands at 25 percent.

Reuters also reported that for the first time, more than half of respondents get their news primarily from algorithmically driven platforms like Instagram, TikTok, and YouTube. And the fastest growing new “surface” for news consumption? AI chatbots like OpenAI’s ChatGPT and Anthropic’s Claude.

The central story of journalism in the digital age is one of collapse. Platforms and their algorithms have cleaved audience from traditional news brands. The industrial-scale AI that runs sites like Instagram and YouTube are tuned for engagement and advertising sales, not trust or truth. Personalized AI of chatbots like Gemini or ChatGPT seem destined for a similar fate.

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Will AI Ever Become a True Platform? Not Without Us….

Yesterday Microsoft CEO Satya Nadella published a fascinating essay that reads as both a rebuke to frontier AI model companies like Anthropic and OpenAI, as well as a call to arms to the entire business community.

Nadella is worried that OpenAI and Anthropic are about to eat everyone’s lunch – Microsoft included. “I’ve been thinking a lot about the future of the firm in an AI-driven economy,” he opines. “The last thing any of us want is a world where every company across every sector is ceding value to a few models that eat everything they see.”

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Wait, Chat Is Dead? Does That Mean OpenAI Is Abandoning Ads?

Over the weekend the Financial Times came out with a report on OpenAI’s latest pivot.  According to a senior OpenAI executive quoted in the piece, the company has decided that “chat is dead.”

Instead, company executives insist, the future lies in a “super app,” an agent (from OpenAI, naturally) that will do everything for us. The “surface” – the interface between a user and OpenAI’s service – will no longer be a fixed chat box. Instead, according to Thibault Sottiaux, who now heads the OpenAI super app project, “what we’re building towards is where you have your own personal agent that is capable of helping you . . . across everything in your life, be it personally or at work.”

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Where’s All the AI Magic?

“Hey Google, how are the Giants doing this year?” 

I was standing at my bathroom sink, finishing up my daily ablutions, when a random thought popped into my head. It’s been a minute since I checked in on my favorite baseball team – ever since I moved East, they’ve been in a slump. Maybe they’re pulling back into contention this year? I still have a Google Home plugged in nearby. I’m intimately familiar with the Home’s limitations, but I asked anyway. Perhaps I was hoping one of my annual predictions (voice interfaces for the home) would magically come true.

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Google Encloses The Web

Last month Google announced the most significant change to its search product since its launch in 1998. Its iconic search box, which I’ve long compared to a command line for the Internet, has been redesigned to incorporate multi-modal chatbot capabilities. In essence, Google is no longer going to send you off to the best possible destination for your query. Now it’s built to capture your input and convert it into answers (and actions) all in one place – on Google.com.

Google’s announcement was expected – the company had to compete with the new paradigm of “answer engines” from OpenAI and Anthropic. But when the shoe did drop, my inbox filled with trepidation. Google has been the beating heart of the Internet’s circulatory system. Now that it’s evolved into a self-contained walled garden, how will the open web survive?

I’ve read every hot take and every second-day analysis of Google’s move. They all point to the same conclusion: As Casey Newton put it, the web is being “summarized to death.” Sure, there’ll still be websites, but the grand bargain with Google – free content for free traffic – is over. Google has  enclosed the entire world wide web and turned it into a walled garden which it alone can monetize.  As Enrique Dans put it over on Medium, the web is no longer a destination, it is merely “raw material.”

But there’s a nagging question lurking in all this hand wringing. Google’s search service, as well as LLMs like Gemini, ChatGPT and Claude, are all built on the back of the web’s open architecture. For two decades, the grand bargain insured that at least some of the economics flowed back to the people who created those sites in the form of traffic, which could be converted into advertising, subscription, and other forms of remuneration.

If Google encloses the web and starves it of oxygen, won’t that ultimately prove bad for Google itself?

I posed just that question (see screenshot, above) to Google’s new AI search feature. It dutifully came back with four categories of answers:

1. Embedded AI Advertising – “As users rely on AI for direct answers rather than clicking links, Google integrates advertising into the AI generation process.”

This is already well underway. Put another way, Google will create ads on the fly on behalf of its customers (the advertisers), and surface them directly inside the AI search experience. Think Instagram, but in search. Yay!

2. The “Walled Garden” Ecosystem. “Google doesn’t need an open web if it owns the environments where users spend their time.”

Yep. Pretty much the flip side of #1.

3. Enterprise Infrastructure & Licensing. “Google’s monetization is diversifying beyond advertising, transitioning into a massive tech-infrastructure and subscription company.”

True, but advertising is still king.

4. Proprietary Data Monopolies. “Rather than crawling independent websites, future web experiences will increasingly rely on proprietary licensing deals and AI agent-to-agent interactions.”

Now this is where it gets interesting. To feed their increasingly ravenous AI maws, Google (and other contenders like Anthropic and OpenAI) are paying up for “raw materials” to ensure their products have fresh and accurate information. This is a “business development first” approach to information: aggregators who have captured our attention will decide which information suppliers are worthy of ingestion. Those suppliers are then relegated to a fixed-margin business at the mercy of their upstream overlords.

Is this sustainable? Is it good for a free and open society that demands quality information to thrive?  It certainly doesn’t feel that way to me, or to nearly anyone who’s thinking deeply about an information ecosystem absent the level playing field that Google search used to provide.

“I don’t think anyone really knows what this means,” wrote Benedict Evans in his May 26th newsletter. Sadly, I concur.

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