Elon Musk tells investors AI agents could generate far more web traffic than people, while Michael Burry questions who pays

Elon Musk, Tesla’s CEO, has argued that AI agents could ultimately generate more online activity than humans do today, suggesting a future where software not only answers requests but also initiates tasks and interactions across the internet. In comments reported by Yahoo Finance, Musk’s remarks sparked a sharper investor question from Michael Burry, the hedge-fund manager known for high-profile, contrarian bets, asking essentially who will be responsible for paying for AI agents to “socialize” online.

The exchange matters because AI agents are often pitched as the next step beyond chatbots. Instead of responding to prompts, agents can be designed to carry out sequences of actions, such as locating information, booking services, or coordinating with other digital systems. That capability could change internet usage patterns, not just by increasing content consumption, but by shifting who or what is driving requests and transactions across networks.

Burry’s skepticism, as reflected in the reported headline question, centers on economics rather than imagination. If AI agents dramatically increase traffic, the key issue becomes whether the costs of running those agents, paying for compute and data access, and absorbing potential security and moderation burdens are offset by durable revenue streams. Without a clear payer and pricing model, increased activity could translate into higher expenses with uncertain margins.

For Tesla, Musk’s position is not only personal. The company’s business model spans vehicles, software features, and subscriptions, and it has also been closely tied to Musk’s broader technology bets. While Tesla is not described in the reported summary as directly launching an “AI agent” product tied to internet traffic in this specific story, Musk’s public framing can still influence how markets interpret the trajectory of AI in general and the potential strategic direction of the industries his companies pursue.

The “who pays” question also reflects a broader debate now playing out across tech: whether AI agents will be monetized primarily through consumers, enterprises, or platforms. If individual users pay directly, companies must justify ongoing subscription fees and ensure the agents deliver consistent value. If businesses pay, the value proposition must be strong enough to compete with existing automation and productivity software. If platforms pay, then the monetization may hinge on advertising, transaction fees, or other revenue sharing tied to the increased traffic agents generate.

There is also a risk that agent-led internet activity could concentrate on a narrow set of markets or create fragmented demand. If agents mostly interact with each other or with services that are not prepared to support high volumes, the result could be a mismatch between traffic growth and monetizable outcomes. The headline framing about socializing is notable because “social” online activity tends to require moderation, identity management, and trust mechanisms, all of which can raise costs and liability concerns.

What remains unclear from the reported coverage is how Musk expects the monetization mechanics to work in practice, and whether Tesla or any specific Tesla-linked product is directly tied to that vision. The summary also does not indicate any new Tesla initiatives, financial guidance, or operational updates tied to AI agents in the way investors often look for in earnings or official announcements. As a result, the current information is best read as a market-facing debate about AI’s future scale and economic incentives rather than as a concrete corporate roadmap.

Investors will likely watch for follow-up indicates that move the discussion from speculation to details, such as clearer statements about AI agent pricing, distribution, or integration timelines in Musk’s ecosystem. For Tesla specifically, the next meaningful catalysts would be any company disclosures connecting its software capabilities, vehicle services, or partnerships to agent-like behavior, as well as any evidence that those capabilities could support recurring revenue at scale. Until then, the exchange serves as a reminder that AI growth narratives still require an accountable buyer and a workable business model.