In the era of AI Agents, why has residential proxy become an essential service?

Blog

September 3.2026

In 2026, total AI Agent requests surpassed 450 billion, a year-over-year growth of over 400%. Behind these requests, a technology layer once regarded as a "marginal tool" is quietly rising ， residential proxy networks. Its market share has climbed to 35.7% of all proxy traffic, with top providers growing at over 50% annually. This is no coincidence: AI Agents require continuous, stable, authentic network egress to complete multi-step operations and real-time data retrieval, while traditional proxy APIs merely provide IP addresses without execution feedback ， fundamentally inadequate for the Agent era. <a href="https://www.b2proxy.com/pricing/residential-proxies" target="_blank">Residential proxies</a> are evolving from a "tool" into the "hidden layer" of AI infrastructure ， much like cloud computing for internet applications: invisible, yet indispensable. <h2 style="line-height: 2;"> A Panorama of AI Agent Network Requests in 2026</h2>If you still think of AI as just a chat box, the 2026 data will reshape your perspective.According to aggregated data from multiple market research firms, the total volume of network requests initiated by AI Agents globally in 2026 has surpassed 450 billion, representing a year-over-year growth of over 400% compared to the same period in 2025. What does this number mean? On average, over 1.4 million requests per second are autonomously initiated by AI Agents, traversing the internet to perform a series of complex operations ， searching, data collection, interaction, and verification.Even more noteworthy is the compositional shift in these requests:<img src="https://www.b2proxy.com/static/ad/d7dcaf2c08c2aae0ac96aec40e9733ce.png" alt="企业微信截图_17884280706934.png" data-href="https://www.b2proxy.com/static/ad/d7dcaf2c08c2aae0ac96aec40e9733ce.png" style="">These figures point to one clear conclusion: AI Agents are no longer auxiliary tools that occasionally call APIs ， they are autonomous entities that continuously "live" and "work" on the internet. They need to access web pages, retrieve real-time information, and execute multi-step operation flows just like human users ， and this is precisely the challenge that traditional proxy technology has never had to face. <h2 style="line-height: 2;">Why Do AI Agent Workflows Require Stable Network Egress?</h2>To understand why residential proxies are rising, we must first understand the fundamental difference between how AI Agents work and traditional API calls.<h3 style="line-height: 2;">Continuous Web Access, Not One-off Calls</h3>Traditional API calls follow a "question-and-answer" pattern: send a request, receive a response, done. But an AI Agent's workflow resembles human web browsing ， it needs to continuously navigate across multiple pages, reading content, extracting information, making judgments, and then proceeding to the next page. A single market research task may require an Agent to consecutively access dozens or even hundreds of web pages, with the entire process lasting from several minutes to tens of minutes.This means the Agent's requirement for network egress is continuous, stable connectivity ， not one-off high-concurrency requests. Once a connection is interrupted, the Agent must rebuild its context from scratch, leading to task failure and wasted time.<h3 style="line-height: 2;">Session Continuity in Multi-step Operations</h3>A typical AI Agent workflow involves multiple steps: search → filter → access → extract → verify → aggregate. Each step depends on the context of the previous one. When using traditional data center IPs, access restrictions are often encountered by the second or third step ， because the target website can identify that this is not a real user's behavior pattern.This is where residential proxies deliver their core value: by using real residential IP addresses, the Agent's network behavior is indistinguishable from a real user, thereby ensuring session continuity throughout the entire multi-step operation flow.<h3 style="line-height: 2;">Latency Requirements for Real-time Data Retrieval</h3>AI Agents are increasingly deployed in real-time data retrieval scenarios ， market trend monitoring, competitor price tracking, sentiment analysis, SEO rank tracking, and more. These scenarios are extremely latency-sensitive: data retrieved five minutes late may have zero decision-making value.Residential proxy networks, through real residential nodes distributed globally, provide Agents with low-latency, highly available real-time data channels. Compared to data center proxies, residential IPs are trusted more by target websites, resulting in significantly higher success rates and speeds for data retrieval. <h2 style="line-height: 2;"> Limitations of Traditional Proxy APIs</h2>Having understood the Agent's needs, the shortcomings of traditional proxy technology become clear.<h3 style="line-height: 2;">The "Three Noes" of Traditional Proxies</h3>No session management: Traditional proxy APIs typically return only an IP address and port. The caller must manage the session lifecycle ， cookies, headers, TLS fingerprints ， all handled independently. For AI Agents, this means significant engineering overhead is spent on the network layer rather than business logic.No execution feedback: Traditional proxies are "dumb pipes"， data in, data out. Whether the request succeeded, whether the target page was fully returned, whether it was redirected to a verification page ， the proxy itself won't tell you. Agents can only rely on application-layer error detection and retries, which is highly inefficient.No quality assurance: The IP quality in traditional proxy pools varies widely. Many IPs have already been flagged as proxy traffic by target websites, and requests using these IPs fail outright. Agents cannot determine whether an IP is usable before making a request ， they can only "try and see," resulting in massive invalid requests and wasted time.<h3 style="line-height: 2;">A Concrete Scenario Comparison</h3>Consider a market research scenario: an AI Agent needs to collect product pricing data from an e-commerce platform, covering 3 categories, 15 brands, and approximately 2,000 product pages.<img src="https://www.b2proxy.com/static/ad/38149b05103f20e5835f86b57944c616.png" alt="企业微信截图_17884280827381.png" data-href="https://www.b2proxy.com/static/ad/38149b05103f20e5835f86b57944c616.png" style="">The gap is an order of magnitude. For AI Agents, this is not a "nice-to-have" ， it is the fundamental difference between "usable" and "unusable." <h2 style="line-height: 2;">From "Tool" to "Hidden Infrastructure Layer"</h2>When we place the above analysis within the framework of industry evolution, a clear paradigm shift is underway: proxies are upgrading from a "marginal tool" to the "hidden layer" of AI infrastructure.<h3 style="line-height: 2;">Three Phases of Evolution</h3>Phase 1: The Tool Era (pre-2023). Proxies were an optional component in a developer's toolkit, primarily used for data collection, testing, and similar scenarios. Usage frequency was low, technical barriers were low, and the market was fragmented.Phase 2: The Component Era (2024–2025). As data-driven businesses proliferated, proxies became a standard component in data pipelines. Usage frequency rose, but they remained "a part"， not infrastructure.Phase 3: The Infrastructure Era (2026 onward). The large-scale deployment of AI Agents has elevated proxies to infrastructure status. Every Agent task depends on stable network egress; proxies are no longer optional but the "network foundation" for Agent operations. Just as databases are to web applications ， you don't build a database from scratch every time you develop an application ，Agent developers similarly won't build proxy networks from zero.<h3 style="line-height: 2;">"Invisibility" Is the Mark of Maturity</h3>The hallmark of a technology becoming infrastructure is that it becomes "invisible" ， users don't need to perceive its existence. Just as you don't think about cell towers and fiber optics when browsing on your phone, future AI Agent developers shouldn't need to worry about the details of network egress when building applications.Residential proxies are moving toward this "invisible" state:· API encapsulation layer: From manually managing IP addresses to obtaining complete network egress capabilities via API (IP, session, and fingerprint management integrated)· Quality assurance layer: From "try it and see if it works" to the proxy network itself guaranteeing availability with automatic failover· Scenario adaptation layer: From generic proxies to proxies optimized for AI Agent scenarios (supporting long-duration sessions, multi-step operations, real-time feedback)This "invisibility" process is precisely why top proxy providers are growing at over 50% annually ， the market isn't buying IP addresses; it's buying a trustworthy Agent network foundation. <h2 style="line-height: 2;"> Conclusion</h2>Looking back at the entire history of internet technology evolution, every technology layer's journey from "tool" to "infrastructure" has been accompanied by "invisibility" ，databases became invisible within application frameworks, CDNs became invisible within content delivery, container orchestration became invisible within cloud platforms. Residential proxies are undergoing the same process.With AI Agent request volume surpassing 450 billion in 2026, residential proxy traffic share surging to 35.7%, and top providers growing at over 50% annually ， behind these numbers is the industry's collective acknowledgment that "Agents require a stable network foundation."For AI developers and technology decision-makers, the key question is not "whether to use residential proxies" but "how to choose a sufficiently mature Agent network foundation" ， whether the API integration is comprehensive, whether high-concurrency capability meets the bar, whether global coverage satisfies business needs. When all these conditions are met, network egress truly becomes that "invisible yet indispensable" layer of Agent infrastructure.And invisibility, precisely, is the mark of mature infrastructure.

Access B2Proxy's Proxy Network

Just 5 minutes to get started with your online activity

View pricing

In the era of AI Agents, why has residential proxy become an essential service?

You might also enjoy

In the era of AI Agents, why has residential proxy become an essential service?

How to optimize AI data collection proxy costs

How Proxies Support the Global Deployment of AI Applications

Access B2Proxy's Proxy Network