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Big tech companies are scared.
The CEO of Input Output, the firm behind Cardano, says Google, Amazon and Facebook are deeply worried about AI agents and what they mean for advertising. These autonomous programs don’t react to ads the way people do, and that’s a problem for companies that make billions from digital marketing. AI agents ignore psychological triggers. They don’t impulse-buy. They won’t click a banner because it’s colorful or because an algorithm decided they need new shoes.
Charles Hoskinson, who runs Input Output, didn’t mince words about the discomfort inside these tech giants. Their entire business model depends on predicting human behavior, serving targeted ads, and collecting revenue when people engage. But AI agents operate on logic, not emotion. They’re programmed to complete tasks, not to browse aimlessly or respond to persuasion tactics that work on humans.
Advertising Revenue at Risk
Advertising is the lifeblood of big tech. Google’s search ads, Amazon’s product placements, Facebook’s targeted campaigns—all of it relies on human users behaving in predictable ways. Remove that predictability and the whole system starts to wobble. AI agents could become the dominant force in digital content consumption by 2035, per Hoskinson’s outlook. That’s less than a decade away. And if these agents bypass ads entirely or process them in ways that don’t generate revenue, tech companies face a serious problem.
The shift isn’t hypothetical anymore. AI agents are already handling tasks like booking flights, ordering groceries, managing schedules. They’re getting smarter and more autonomous. As they take over more functions, the traditional advertising playbook—built on decades of studying human psychology and click patterns—starts to look outdated. Tech giants have spent years perfecting algorithms that predict what you want before you know you want it. Those algorithms don’t work the same way on AI agents.
Hoskinson sees this as a fundamental change in how digital platforms operate. It’s not just about lost ad clicks. It’s about a complete rethinking of engagement. AI agents don’t scroll through feeds. They don’t linger on product pages. They execute tasks and move on. That kind of efficiency is great for users but terrible for companies that monetize attention.
No Official Response Yet
Google, Amazon and Facebook haven’t said anything publicly about strategies to deal with AI agents. The silence is telling. Either they’re still figuring it out or they don’t want to acknowledge the threat openly. Probably both. Admitting that AI agents could upend your business model isn’t great for investor confidence, but ignoring the problem won’t make it go away.
The absence of disclosed plans suggests these companies are in assessment mode. They’re watching, waiting, trying to understand how fast AI agents will proliferate and what that means for their bottom lines. But waiting too long could be risky. If AI agents become ubiquitous before tech companies adapt, the disruption could be severe.
Data collection is another wrinkle. AI agents don’t leave the same digital footprints humans do. They don’t browse randomly or reveal preferences through search history. That makes it harder to build profiles, harder to target ads, harder to predict behavior. And without that data, the entire targeted advertising ecosystem starts to crumble. Tech companies have built empires on knowing what you want, often before you do. AI agents don’t give them that advantage.
The concern isn’t just immediate revenue loss. It’s the long-term implications of AI agents changing how users interact with digital platforms entirely. Engagement metrics that companies have relied on for years—time on site, click-through rates, conversion rates—all of those could become irrelevant if AI agents handle more of the work.
What Comes Next
Hoskinson’s comments point to a broader industry reckoning. Tech companies built their fortunes on human behavior being consistent and exploitable. AI agents throw that consistency out the window. They don’t get distracted. They don’t impulse-buy. They don’t fall for persuasive copy or flashy visuals.
Innovation is the only path forward, but it’s unclear what that looks like yet. Do tech companies try to advertise to AI agents differently? Do they find new revenue streams that don’t depend on ads? Do they lobby for regulations that limit AI agent autonomy? All of those options are on the table, and none of them are simple.
The unpredictable nature of AI agents means tech companies can’t just tweak their existing models. They might need to rebuild from scratch. That’s expensive, time-consuming and risky. But the alternative—watching AI agents erode their core business—is worse.
Right now, AI agents are still in early stages. But their growth trajectory is steep. As they become more sophisticated, the pressure on tech companies to adapt will intensify. The traditional playbook won’t work. New tools, new strategies, new ways of thinking about digital engagement—all of that has to happen fast.
The rise of autonomous AI agents could force a complete overhaul of digital advertising. Companies that have dominated for decades might find themselves scrambling to stay relevant. The uncertainty around AI agent behavior and their impact on marketing strategies means tech giants need to move quickly. Waiting for clarity could mean falling behind competitors who adapt faster.
Frequently Asked Questions
Why are tech companies worried about AI agents and advertising?
AI agents don’t respond to ads the way humans do, which threatens the targeted advertising revenue that Google, Amazon and Facebook depend on.
When could AI agents surpass human influence in digital content?
According to Input Output’s CEO, AI agents could surpass human influence in certain digital areas by 2035.
Have Google, Amazon or Facebook announced plans to address AI agents?
No. None of these companies have disclosed official strategies for dealing with the rise of autonomous AI agents.
