AI has become one of the newest arguments in the IPv4 market. As artificial intelligence becomes more visible across the public Internet, more commentators are linking AI growth to renewed demand for IPv4 address space.
The logic is easy to understand. Chatbots, autonomous agents, AI search tools, crawlers, automation platforms, data collection systems and distributed inference services all need to interact with existing online infrastructure. A large part of that infrastructure still depends on IPv4, so it is tempting to assume that AI growth should automatically translate into stronger IPv4 demand.
The argument is plausible. But plausibility is not the same as proof.
At InterLIR, our view is that AI is relevant to the IPv4 market, especially for leasing, proxy infrastructure, outbound connectivity and reputation-sensitive routing. However, the available March-April 2026 transfer data does not yet prove that AI has directly reshaped the IPv4 purchase market or caused broad repricing.
Key takeaway
AI may increase the operational value of clean, routable IPv4 access. But current transfer data supports a more cautious conclusion: AI is a supporting demand factor, not yet a proven primary driver of IPv4 purchase-market growth.
- AI-related use cases are real, especially for crawling, automation, proxy infrastructure and distributed outbound traffic.
- Transfer data does not yet show an AI-led purchasing wave. April 2026 volume was driven mainly by larger transfers, not by a surge in small flexible blocks.
- Leasing is likely to feel the AI effect first. Flexible access is often more useful than permanent ownership for temporary or scalable workloads.
- The market is stabilising, not breaking out. Current data points to liquidity and a firmer floor, not confirmed broad repricing.
Why AI became part of the IPv4 market story
The AI-IPv4 argument is usually built on four assumptions.
- AI applications need access to IPv4-only and dual-stack resources. Many websites, APIs, enterprise systems and legacy services still depend on IPv4.
- Large-scale data collection may require distributed outbound traffic. Crawlers, agents and automation platforms may need IP diversity, geographic routing and reputation management.
- Agent-based systems can generate more automated requests than traditional human users. This may increase demand for scalable network access.
- AI-related workloads often prefer flexibility. Companies may lease or temporarily access IPv4 space instead of committing to permanent ownership.
Taken together, these assumptions support a credible market argument: AI may increase the operational value of clean, routable IPv4 address space, especially where reputation, geography and flexible access matter.
However, this argument should not be treated as direct evidence of a broad repricing of the IPv4 market.
The commercial interest behind the AI-IPv4 argument
There is also a commercial reason why this argument is gaining visibility.
Many participants in the IPv4 ecosystem benefit from presenting AI as a new structural driver of demand. Sellers benefit from a narrative that reduces pressure to discount. Leasing platforms benefit from positioning IPv4 as a flexible infrastructure layer for AI, automation and distributed workloads. Brokers benefit when buyers believe that current prices may represent an attractive entry point before future demand increases.
This does not mean the argument is false. It means the argument should be tested against observable data.
The strongest version of the AI-related IPv4 argument is not that every chatbot or AI agent needs its own dedicated public IPv4 address. That would be too simplistic. Public IP addresses are not reliable identity units for autonomous agents. Many agents can operate behind shared infrastructure, NAT, cloud gateways, proxy layers or API-based authentication systems.
The more realistic argument is narrower: AI-related workloads may increase demand for publicly routable IPv4 access, especially for outbound Internet connectivity, crawling, API interaction, proxy infrastructure, reputation-sensitive routing and temporary scaling.
That distinction matters. It separates a credible infrastructure effect from an overstated scarcity argument.
InterLIR’s view: no direct evidence yet of AI-driven IPv4 repricing
At InterLIR, our position is that the growth of AI agents, chatbots and automation systems is relevant to the IPv4 market. But current data does not yet prove a direct causal link between AI growth and higher prices in the IPv4 purchase market.
The available March and April 2026 transfer data shows stabilisation, continued liquidity and larger transfers. It does not yet show a clear AI-specific shift in purchasing activity.
Methodology note
Public IPv4 transfer data shows the movement of address space, but it does not disclose individual transaction prices. For this analysis, several records that appeared to represent the same transfer between the same parties, on the same date and under the same transfer category were treated as one observed transaction.
This means the analysis is useful for understanding transfer volume and structure, but it should not be read as direct transaction-level pricing data.
What changed between March and April 2026
On InterLIR’s adjusted transaction-counting basis, total transferred IPv4 volume increased from 3,626,496 addresses in March to 4,863,488 addresses in April. That is a material increase of about 34.1%.
However, April was not a month of broader market activity. It was mainly a month of larger transfers.
| Metric | March 2026 | April 2026 | Change |
|---|---|---|---|
| Total transferred IPv4 volume | 3,626,496 addresses | 4,863,488 addresses | +34.1% |
| Observed transactions | 331 | 312 | -5.7% |
| Average transaction size | About 10,956 addresses | About 15,588 addresses | +42.3% |
| /17-/20 transferred volume | 811,008 addresses | 2,035,712 addresses | +151.0% |
| /24 transferred volume | 70,656 addresses | 37,376 addresses | -47.1% |
| M&A-related transfer volume | 633,088 addresses | 1,528,576 addresses | +141.4% |
This structure is important. More address space changed hands in April, but through fewer and larger deals. The strongest increase came from the /17-/20 segment, while /24 volume declined sharply.
That weakens the argument that April’s higher transfer volume was driven by flexible, small-block demand. Many AI-related use cases discussed in the market, including proxy pools, temporary access, distributed outbound traffic and reputation-sensitive routing, would normally be expected to support demand for smaller and easily deployable blocks. April did not show a clear increase in that segment.
The role of M&A also became more visible
The role of M&A and corporate restructuring increased significantly in April. M&A-related transfer volume rose from 633,088 addresses in March to 1,528,576 addresses in April. Its share of total transferred volume increased from about 17.5% to about 31.4%.
This makes it difficult to read April’s higher volume as direct evidence of new AI-driven buying pressure. A significant part of the increase appears to reflect corporate, structural or portfolio-related movement rather than broad open-market demand from AI infrastructure buyers.
In short, the headline volume number looks strong. But the composition of that volume tells a more cautious story.
What the transfer data actually supports
The transfer data supports several careful conclusions.
- The IPv4 market remains active. Large blocks are still moving, and buyers are present for meaningful volumes of address space.
- The market appears to be stabilising after the 2025 correction. April’s higher total volume points to liquidity, but not necessarily to rising prices.
- The buyer base remains diversified. Telecom operators, hosting companies, data infrastructure providers, security companies, cloud-related businesses and corporate network operators continue to appear in transfer data.
- AI companies are not visibly dominating purchases. Current public transfer data does not show AI companies or AI-agent infrastructure providers as the clear leading buyer category.
- The decline in /24 volume matters. It makes it harder to argue that flexible small-block demand has already become a visible purchase-market driver.
These conclusions do not dismiss AI as irrelevant. They simply keep the argument grounded in observable evidence.
Where AI may still matter
AI should not be ignored. The growth of automated systems, AI crawlers, agentic workflows and machine-to-machine web interaction can increase the operational need for public IPv4 access.
This is especially relevant when systems need to interact with IPv4-only services, avoid excessive concentration of traffic behind a small number of addresses, manage IP reputation or distribute outbound traffic geographically.
However, this impact is more likely to appear first in leasing, proxy infrastructure, short-term address access and reputation-sensitive routing than in large-scale permanent purchases.
The likely AI impact path
- First: stronger utilisation of leased IPv4 space and proxy infrastructure.
- Second: more demand for clean, reputation-sensitive routing and geographically diverse access.
- Third: possible support for a firmer market floor if AI-related workloads become sustained and measurable.
- Not proven yet: broad AI-driven repricing of permanent IPv4 ownership.
AI-related demand may also be partially hidden inside broader infrastructure categories. Cloud providers, hosting companies, security platforms and data infrastructure operators may buy or lease address space for mixed workloads, including AI-related customers, without those transactions appearing in public data as explicitly AI activity.
This is a real limitation of the data. The absence of a visible AI buyer category does not prove that AI has no effect. But it also does not support the stronger claim that AI has already reshaped the purchase market.
Leasing may be the first place to watch
Public leasing commentary in 2026 continues to describe the leasing segment as more resilient than the purchase market, with rates broadly around the $0.40-$0.50 per IP per month range depending on region, quality and platform. At the same time, increased available supply may create pressure on less differentiated or lower-reputation space.
This is consistent with a more nuanced view of AI demand. AI may support demand for IPv4 usage without immediately causing a broad increase in IPv4 asset prices.
In practice, AI-related workloads may help increase utilisation of leased address space, reduce sellers’ willingness to discount further, or help establish a firmer price floor. But that is different from proving that AI has already triggered a new rally in the IPv4 purchase market.
Conclusion: AI is relevant, but not yet decisive
The current AI-related argument around IPv4 has a real underlying mechanism, but it should be treated carefully.
AI agents, chatbots, crawlers and automation systems are likely to increase demand for IPv4 access in specific operational contexts. The strongest current impact is likely to be in leasing, proxy infrastructure, distributed outbound connectivity, temporary scaling and clean-address reputation.
However, the March-April 2026 transfer data does not yet support the stronger claim that AI growth has directly reshaped the IPv4 purchase market or caused broad repricing. April’s increase in total transferred volume was driven mainly by large and mid-large transfers, while /24 volume declined and M&A-related activity became more prominent.
The most accurate position is this: AI is a relevant supporting demand factor, but not yet a proven primary driver of growth in the IPv4 purchase market.
For now, AI should be viewed as one of several forces helping to stabilise the market and potentially establish a firmer price floor, rather than as confirmed evidence of a new sustained upward cycle in IPv4 purchase prices.
Planning your IPv4 strategy around AI, automation or scaling demand?
InterLIR can help you evaluate IPv4 block quality, compare leasing and ownership economics, and choose the right access model for your infrastructure needs.


