Will AI Agents Kill Advertisements? Yes, Yes, No, and Yes
Jeremiah Owyang
Venture Capital Investor at Blitzscaling Ventures | Llama Lounge event host & Conference Speaker | Works in an Airstream | CrossFit
I have a background in technology and business forecasting (formerly trained at a large industry analyst firm, and prior also co-founded a boutique industry analyst firm in silicon valley) and use these skills to think about how business models will change with the introduction of new AI technologies.
The emerging technology category is AI Agents: autonomous applications that can self-task, complete tasks, recruit other agents, and self-improve. I’ve mapped the AI agent market, and hosted the largest agent event in the world, Llama Lounge 8 to understand the monumental change that is coming.
My thesis how AI agents will significantly change the structure of the internet
Let’s Break Down the Logic Chain of What Happens Next:
This means that AI agents could bring back key information, and you could instruct them not to include advertisements. AI agents could parse the information on websites, prioritize what’s useful or essential, and filter out extraneous information like advertisements. Think of it as an intelligent ad blocker.
领英推荐
Of course, this depends on the business model—who the AI agent serves, which has always been the case on the internet. I think we’ll see three types of AI agents for humans:
What Percent Will Pay for a Premium AI Agent? My estimate is 20-30% of the world would pay for a premium agent (category 1). The iOS market represents about 20% globally, plus high-end Android users. While this isn’t the mass market, it likely represents the highest spending ability and high net worth that corporate marketers and advertisers often drool over. Pricing models tbd.
Advertisers Shift to Offerings. As a result, advertisers need to make a significant shift. Instead of offering traditional advertisements (text, image, rich media), they will instead provide offers—discounts, premium products, access to loyalty programs. Consumers might instruct their AI agents to research and procure products within a certain price range, seeking bargains, and advertisers will need to broker those parameters to meet consumer requests. Advertising shifts to become more of a marketplace offering.
Online Marketers Shift to Online Experiences. As AI agents become the primary visitors to websites, marketers will need to make these sites more attractive to human visitors. I still imagine that humans will seek online experiences in categories like media, entertainment, sports, news, luxury experiences, and unique immersive content—the fun stuff you hide from your boss when they walk by your desk.
How Big Tech Media and Commerce Companies Will Shift. I’ve already given the example that Amazon will offer a free AI agent (which funnels users into their shopping ecosystem). We should also expect Google to offer an AI agent that excels at online research, with both an ad-supported free version and a premium, ad-free version. Apple will likely offer an AI agent that emphasizes privacy, integrated within their ecosystem—of course, at a premium cost with their latest devices . These big companies move slowly, which leads to the next point.
Best-in-Class: AI Agent Startups. Startups are likely going to redefine this next generation of the internet. We’ve seen it with every tech wave (dot-com, Web 2.0, sharing economy, mobile). A new class of startups will emerge and redefine human behavior and commerce. My conviction—which you may see as biased—is clear, as I’m investing in numerous AI agent companies that focus on consumer agent experiences, enterprise AI platforms, agent payment systems, and identity/security. More on that soon.
So, In Summary: Do AI Agents Kill Advertisements? To remind: AI agents will surf the internet for us, conduct tasks, and bring the relevant information back to us —in the format that we want (not what advertisers and marketers want):
I’m actively writing checks into AI Agents startups from Blitzscaling Ventures where I’m a VC, if you’re working in this space, write back.
Founder & CEO of SpaceVibes - Bridging In Real Life & Digital; Leveraging AI as magic in everything we build. Director - AI Tinkerers
3 周Experiences will rule... So will IRL...
SF AI Studio Manager @ Accenture | GenAI Acceleration | OpenAI | CoPilot | SAP/ERP GenAI | Pianist | Quantum Physicist
1 个月you keep coming up with so many predictions... i gotta check back in 5 years and calculate your prediction score. In the meantime, dealing with trying to to turn MS Copilot into "Agents"
Co-Founder at Dech.at, Ex-Meta, Ex-Google, Conversational AI MasterMind
1 个月Great article, as always, Jeremiah Owyang! some additional observitions that matter As communication channels expand—especially with the rise of messaging platforms—the way marketers engage with their audience will fundamentally change. It’s not just about influencer or offline marketing anymore; interactions will become far more personalized and dynamic, especially in emerging markets where users primarily interact via mobile devices and messaging apps. New use cases will also arise, for example you wil be able to interact directly with a "product agent" instead of a sales rep agent. Imagine also experiences where an AI agent can seamlessly communicate across Voice, Messaging, and Web, making customers feel more connected and engaged with the brand. This approach doesn’t just increase engagement time—it also allows brands to integrate both branded and performance marketing into one cohesive strategy. It’s will deliver win-win for both user experience and business outcomes. Yes business models and approaches will need to be discussed, this is what we are trying to figure out at deCH.at as well as many other relevant engagement functions.
Chief Marketing Officer AI Sales
1 个月Social platforms were built to monetize through ads, and as they evolve, we’ll see more B2B ad space while consumer products and personal branding become less dominant. The future of advertising lies in companies using AI to customize product visibility according to individual buying behaviors. This approach is especially prevalent in B2B, where tailored messaging resonates more effectively, shaping what audiences see based on their business needs and decision-making processes. AI Sales
At my core, I am a teacher. I'm great at the middle of conversations. I'm not as athletic as I remember being.
1 个月I believe the "advertising" will be in the "search results" - and that's true whether your agent is free or paid. If I only train my LLM to know that your solution solves this problem but do not inform it that other solutions exist, is that advertising? (Is this legal? Is it ETHICAL?) Other thoughts- Direct response advertising (bottom of the funnel, "Buy NOW!") will take a hit, as search is essentially outsourced to agents. But brand awareness will still help with discovery. You didn't even know that you had this problem, let alone that there was a solution to it. I question the flock to (and staying with) paid. I look at TV streaming. Every network built their own platform. People got subscription fatigue. The platforms reduced their prices by adding a tier with advertising. Also, look at the growth of FAST platforms (Free Ad Supported Television). Finally, there will always be marketing dollars. A business that nobody knows exists doesn't exist for long. To me, the real question is: How will Marketing execute in an AI-Agent world?