As media agencies accelerate the deployment of autonomous AI buying systems, the publishers on the other side of those transactions are pausing — not out of ignorance, but out of hard-won wisdom about where value actually lives. Executives at The Economist, The New York Times, and Newsweek are watching the agentic advertising wave approach without rushing to meet it, choosing instead to deepen the things machines cannot easily replicate: trusted relationships, editorial authority, and curated human attention. In an industry reshaped by algorithmic disruption, their caution may itself be a stra
Publishers Pump Brakes on Agentic Advertising, Betting on Direct Revenue Instead
I don't think we'll be hitting that route in a big way anytime soon.
So publishers have this technology available to them—agentic media buying—and they're mostly saying no thanks. Why would they turn down something that's supposed to make their business more efficient?
Because efficiency isn't the same as revenue. Publishers are bleeding money from programmatic advertising and declining traffic. An agentic system might cut costs, but it doesn't solve the core problem: how do I make more money? The executives I spoke with are asking, "What's the ROI?" They want to invest in things with a clear path to revenue, not experiments.
But wait—some publishers are testing it. CNN is running agent-to-agent transactions. So it's not a universal no.
Right. It's more like a cautious maybe. They're monitoring it, running small tests in the background. But they're not making big bets. And the scale question matters—larger organizations are more interested than smaller ones, but even the big players like The New York Times and Newsweek are in evaluation mode.
What's holding them back specifically? Is it just the money question?
It's partly that, but there's also a trust problem. These agents operate with some autonomy. They can make decisions outside the boundaries you set. Agencies are still figuring out how to audit them, monitor spending, catch errors. The infrastructure for trustworthy, scalable agentic buying doesn't exist yet.
So the technology isn't ready, and the business case isn't clear. That's two separate problems.
Exactly. And in the meantime, publishers have figured out what actually works for them: building direct relationships with audiences, creating specialized B2B offerings, expanding video and sponsorship opportunities. Newsweek's growing 20 percent year over year doing that. The Economist is attracting luxury brands and expanding into new verticals. They're not waiting for agentic buying to save them.
So this is less about publishers rejecting AI and more about them choosing a different path?
Yes. They're not standing still. They're just investing in things they can control and that generate revenue now, not in five years.
One thing to flag: we're hearing from three executives at one conference. That's a small sample. And the buy-side is moving faster than the sell-side, which suggests there's real momentum somewhere. We just don't have a complete picture of how many publishers are actually testing versus how many are completely ignoring it.
Der Puls
- Media agencies are moving agentic AI buying from pilot programs into live campaigns, creating real pressure on publishers to engage with a technology they haven't yet validated for themselves.
- Senior publishing executives describe a measurement vacuum — they cannot define what a successful agentic campaign looks like, let alone prove one worked, making internal investment cases nearly impossible to build.
- The incentive gap is structural: agentic systems promise to cut operational costs, but publishers need near-term revenue growth, and those two goals are not pointing in the same direction right now.
- Trust and control remain unresolved — agentic systems can drift beyond advertiser-set boundaries, and the auditing infrastructure needed to make them reliable at scale is still under construction.
- Rather than wait for agentic ROI to materialize, publishers are accelerating diversification into B2B services, video franchises, sponsorships, and commissioned research — revenue streams that reward credibility over automation.
As media agencies accelerate the deployment of autonomous AI buying systems, the publishers on the other side of those transactions are pausing — not out of ignorance, but out of hard-won wisdom about where value actually lives. Executives at The Economist, The New York Times, and Newsweek are watching the agentic advertising wave approach without rushing to meet it, choosing instead to deepen the things machines cannot easily replicate: trusted relationships, editorial authority, and curated human attention. In an industry reshaped by algorithmic disruption, their caution may itself be a strategy.
The advertising industry has spent two years heralding agentic media buying as the future — autonomous AI systems that negotiate directly with publishers, eliminate intermediaries, and compress the supply chain. But inside the offices where publishers actually make decisions, the mood is something closer to watchful restraint.
At Advertising Week New York, three senior commercial executives from major publishers described the same posture independently: evaluating, testing, learning — but not committing. Jamie Jouning of The Economist said he couldn't justify asking leadership to invest in something whose value remained unproven. Newsweek's Danielle Varvaro framed the problem as one of measurement: without knowing what a successful agentic campaign looks like, how do you know if it worked? The New York Times' Joy Robins confirmed her company was in assessment mode, watching developments without accelerating toward them.
The contrast with the buy side is sharp. Agencies are already deploying AI agents to automate transactions and purchase inventory directly, bypassing programmatic intermediaries. That momentum hasn't transferred to publishers, who are focused on generating revenue now rather than reducing operational costs later — a fundamental misalignment of incentives. Compounding the hesitation is a trust problem: agentic systems can make unauthorized decisions, drift outside set parameters, and are difficult to audit. The infrastructure for transparent, accountable agentic buying is still being assembled.
Instead of chasing automation, publishers are doubling down on what algorithms struggle to replicate. Newsweek has built a growing B2B business across healthcare and tech verticals, acquired an ad network, and is expanding nearly 20 percent year over year. The Economist is multiplying its video programming and breaking its content into distinct sponsorable franchises, while also pursuing luxury and consumer advertisers drawn to editorial credibility. The New York Times is investing in new audience targeting and measurement tools.
What these strategies share is a common wager: that in an era of AI-driven disruption, trust, brand authority, and curated human attention are more durable assets than operational efficiency. Publishers aren't rejecting agentic advertising so much as refusing to let it set the terms of their future.
The advertising industry has spent the better part of two years talking about agentic media buying as the future—autonomous AI systems that negotiate directly with publishers, bypass middlemen, and theoretically make the entire supply chain faster and cheaper. But inside the offices where publishers actually decide where to spend money, the conversation sounds different. It sounds like caution.
Jamie Jouning, who oversees advertising for The Economist globally, put it plainly when asked about his company's plans: he couldn't justify asking his leadership team for investment in something whose value remained unproven. "It would be very hard for me to go and seek investment from our leadership team for something that we don't know whether or not it's going to be of value to us," he said. He acknowledged the technology was on his CEO's radar and on his own, but The Economist wasn't moving aggressively into the space. "I think it's still relatively early. I don't think we'll be hitting down that route in a big way anytime soon."
When Digiday spoke with three senior commercial executives at the Advertising Week New York conference, all three described essentially the same posture: watching, testing, learning—but not committing. Danielle Varvaro, chief revenue officer at Newsweek, framed it as a measurement problem. "I can't say definitively that we have signed this deal and we're doing X, Y, and Z because we haven't," she said. The real question, from her perspective, was how to measure return on investment for brands running these kinds of campaigns. What does a test look like? How do you know if it worked? Joy Robins, The New York Times' global chief advertising officer, echoed the theme: the company was evaluating, keeping an eye on developments, but remained in the assessment phase.
Meanwhile, on the other side of the transaction—among media agencies and their clients—movement was accelerating. Agencies were moving agentic buying from experiments into live campaigns, deploying AI agents to automate transactions and purchase inventory directly from publishers while cutting out programmatic intermediaries. The gap between buy-side momentum and sell-side hesitation reflects a fundamental misalignment in incentives. According to Amit Grover, CEO of the programmatic sales firm KPI Village, publishers aren't prioritizing agentic adoption as aggressively because they're focused on generating revenue in the near term. While agentic systems promise to reduce operational costs, publishers are directing their investment dollars toward opportunities with clearer, faster paths to revenue—the kind of bets that can offset losses from declining referral traffic and shrinking programmatic ad revenue.
There's also the matter of trust and control. Agentic systems, by their nature, operate with some degree of autonomy. Agents can make unauthorized decisions or drift outside the boundaries advertisers set. Agencies are still figuring out how to audit these systems, monitor spending, catch errors, and maintain human oversight. The infrastructure needed to make agentic buying trustworthy, transparent, and scalable at scale is still being built.
Instead of betting heavily on agentic automation, publishers are diversifying. The New York Times is expanding its audience targeting and measurement capabilities, with new tools expected next year. Newsweek has spent recent years building out a B2B business across verticals like healthcare and tech, offering webinars, newsletters, events, and industry rankings. The company acquired an ad network called Adprime last year and hired dedicated sales teams for these revenue streams. Newsweek's overall business is growing nearly 20 percent year over year, according to company figures. Varvaro described the strategy as creating "a curated space for 100 of the right people in the room"—a model where precision and trust matter more than raw scale.
The Economist is pursuing a similar path, broadening its advertising business by creating new sponsorship opportunities and expanding its video offerings. The publisher plans to increase its video programming from two shows a week to six starting in January and is breaking its Insider series into distinct franchises focused on technology, money, and geopolitics—each designed to attract sponsorships. Jouning is also trying to pull in more consumer-facing and luxury advertisers, groups that traditionally haven't been core to The Economist's base. The pitch is straightforward: advertisers increasingly want to work with publishers who can guarantee trust and credibility. "Advertisers are increasingly looking to work with brands who can guarantee that sort of level of trust and that level of credibility," Jouning said. The Economist is also expanding its client-commissioned research offerings.
What emerges from these conversations is a publishing industry making a deliberate choice: rather than chase the promise of agentic automation, publishers are investing in the assets that agentic systems can't easily replicate—direct relationships with audiences, brand authority, specialized expertise, and the ability to create curated experiences for specific groups of advertisers. It's a bet that in an era of AI-driven disruption, credibility and trust are worth more than operational efficiency.
Bemerkenswerte Zitate
It would be very hard for me to go and seek investment from our leadership team for something that we don't know whether or not it's going to be of value to us.— Jamie Jouning, global head of advertising at The Economist
Advertisers are increasingly looking to work with brands who can guarantee that sort of level of trust and that level of credibility.— Jamie Jouning, The Economist