Showing posts sorted by date for query disintermediation. Sort by relevance Show all posts
Showing posts sorted by date for query disintermediation. Sort by relevance Show all posts

Tuesday, May 19, 2026

If Internet Was About "Disintermediation," AI "Remediates"

If disintermediation removing distributors in the value chain) was the hallmark impact of the internet on media and content, artificial intelligence arguably reinserts a new mediation layer in the value chain. 


If the internet tended to remove gatekeepers, AI is going to bring that function back.


The internet let creators, publishers, and businesses reach users directly.

  • Authors could self-publish.

  • Musicians could bypass record labels.

  • Retailers could sell directly online.

  • Newspapers could distribute without print trucks.


The dominant idea was that gatekeepers lost power and relevance.


AI seems to be inserting a new form of mediation between users and content, especially as agents proliferate:

  • Users ask an AI instead of visiting websites

  • Buyers rely on AI agents instead of browsing stores

  • Students consult AI instead of textbooks or tutors

  • Professionals ask AI instead of reading reports.


If the internet reduced friction between producer and consumer, allowing creators to reach consumers directly, AI inserts a new layer the AI agent). 


The practical consequences:

  • Traffic shifts from websites to AI interfaces.

  • Brands lose direct contact with customers.

  • Original creators may receive less attribution.

  • AI becomes the gatekeeper.


Still, both the internet and AI function in some similar ways:

  • Reduce transaction costs

  • Increase access

  • Disrupt existing business models

  • Favor large platforms. 


What is different is the way AI affects the monetization of content. Instead of search engine optimization, AI abstracts the sources of content.


Where SEO was intended to deliver relevant links, AI “gives you the answer.”


During the internet era, media companies lost control over distribution.

During the AI era, they may lose control over:

  • Discovery

  • Attribution

  • Monetization

  • Customer relationships


The risk is greater because AI can both create and summarize content, reducing the need to visit the original source.


But something greater than “distribution” or “discovery” is at work. Where the internet largely focused on “discovery” of content, AI agents will essentially “create” content.


As the internet forced content providers to change, so AI will force changes as well. Organizations must optimize not only for human customers, but also for AI systems.

Era

Core Trend

Central Dynamic

Internet

Disintermediation

Remove middlemen

Search

Aggregation

Organize information

Social Media

Platformization

Concentrate attention

AI

New intermediation

Machine agents become the middlemen


The shifts are from discovery to meaning; traffic volume to citation; site visits to inclusion in summary; active search to passive consumption. 


Feature

Internet Era Shift

AI Era Shift

Primary Value

Providing access to information.

Providing synthesis/meaning from information.

Core Metric

Clicks and Traffic.

Conversions and Authority/Citations.

Publisher Role

Destination (user visits your site).

Source (AI summarizes your work).

Advertising

Targeted banner/link ads.

Integrated conversational/agentic ads.

User Experience

Active searching and navigation.

Passive, conversational consumption.


The internet was about removing traditional gatekeepers. AI seems destined to insert a new layer into the value chain.


Participants will have to adapt. 


The primary challenge for publishers and content providers is “zero click.” When a user gets their answer directly on the search results page, they have no reason to visit the publisher’s site, leading to significant declines in organic traffic and ad impressions.


Advertisers now must design for agentic discovery as they once designed for search engines.


Platforms are performing a delicate balancing act: they need to keep users satisfied with quick, AI-driven answers while ensuring that content creators (the "web") don't disappear, as the AI needs that content to function.


Metric

Old Search Model

AI Search Era

Primary Goal

Traffic volume (clicks)

Brand authority & Citations

User Journey

Linear/Multi-click

Compressed/Conversational

Measurement

SEO rankings/CTR

Conversion-based/Brand impact

Publisher Value

Being a destination

Being a trusted source


One often hears lamentations about the unfairness of the new system, typically in the form of who gets the value from creating and distributing content. But nothing in the media and content businesses is guaranteed. Nobody has a “right” to audiences. 


New gatekeepers are coming, whether we like it or not.


Sunday, April 12, 2026

Now Claude Managed Agents Threaten Edge Networks

Add edge networks such as Akamai, Fastly and Cloudflare to the list of enterprise software of service providers that might be disrupted or helped by growing use of language models and especially agents


And blame Anthropic for the recent concern. Claude Managed Agents, launched April 8, 2026 in public beta, handles sandboxed code execution, checkpointing, credential management, scoped permissions, and end-to-end tracing.


Investors seem to be pricing in only danger, but upside arguably also exists.


The core tailwind is simply volume. Cloudflare's CEO noted that if a human were shopping for a digital camera and might visit five websites, an AI agent doing the same task might visit 5,000. 


In fact, AI bot traffic across the Akamai network surged more than 300 percent since Akamai began tracking it, with AI training crawlers accounting for the largest share. 


One might point to earlier concerns about Akamai capital spending that has rattled equities of many types, but that does not seem to be the impetus for the declines of April 10. 


Fastly has noted that inference operations likewise are providing a big boost to its revenue. 


So why did Akamai stock sell off sharply, about 17 percent, on the news? Cloudflare sold off 13.5 percent on April 10. And Fastly sold off nearly 22 percent on the same day. 


Simply, Claude Managed Agents threatens to move much of that former “outsourced” or external traffic “in house.” Claude is now arguably getting into the infrastructure layer for agents, as a potential competitor. 


Impact area

Mechanism

Direction

Effect on CDNs

Who benefits

Source

Explosive growth in bot & agent traffic

Claude Managed Agents spawn long-running sessions that browse the web at machine speed — the Cloudflare CEO noted agents may visit 1,000× more sites than a human doing the same task. Akamai tracked a 300% rise in AI bot traffic across its network in 2025.

tailwind

More requests, bandwidth, and cache-hit pressure — CDNs must handle vastly more non-human HTTP volume.

All three; Cloudflare leading

TechCrunch

Edge inference & AI Gateway demand

Anthropic routes MCP tool calls through third-party services; CDNs like Cloudflare offer AI Gateway products that proxy and cache LLM API calls at the edge. Workers AI inference requests grew 4,000% YoY in Q1 2025.

tailwind

New high-margin inference and gateway revenue streams open up for CDNs that offer edge compute.

Cloudflare (Workers AI, AI Gateway); Fastly (semantic caching)

Klover.ai

MCP server hosting & orchestration

Claude Managed Agents connects to external services through MCP servers. Cloudflare extended its Workers platform with MCP Server Portals; Fastly offers edge orchestration for MCP-style workloads.

tailwind

CDNs become the natural 'control plane' for routing agent tool calls with low latency and built-in auth.

Cloudflare (MCP Server Portals); Fastly

Cloudflare blog

Bot management & agent identity

Agents generate traffic that is hard to distinguish from malicious bots. Akamai and Cloudflare must evolve bot management to allow legitimate agent traffic while blocking bad actors. Cloudflare & GoDaddy partnered specifically to separate trusted agents from scrapers.

tailwind

Increased demand for bot management, agent identity verification, and WAF rule updates.

Akamai (Bot Manager); Cloudflare (Bot Fight Mode)

The Register

DDoS & security complexity

AI agents can be weaponised or exploited. Cloudflare mitigated a 31.4 Tbps DDoS attack in Q4 2025; hyper-volumetric attacks grew 700% that year. Managed agent traffic is a growing attack surface.

tailwind

Higher security service revenue; CDNs are critical infrastructure for absorbing AI-amplified attack volumes.

All three; Cloudflare most exposed

Cloudflare 2026 report

Semantic caching of agent queries

AI agents issue repetitive or semantically-similar requests. Fastly's 'AI Accelerator' uses semantic caching to avoid redundant inference passes. Cloudflare AI Gateway adds response caching across providers.

tailwind

New caching product category; CDNs monetise the gap between raw inference cost and cached delivery.

Fastly (AI Accelerator); Cloudflare (AI Gateway caching)

Futuriom

Anthropic runs its own agent infrastructure

Claude Managed Agents runs on Anthropic's own infrastructure — sandboxed containers, state management, and orchestration are all handled in-house. This keeps a large slice of compute spend inside Anthropic's cloud, not CDN PoPs.

headwind

Enterprises that previously self-hosted agents (and used CDN edge compute for inference) may shift workloads onto Anthropic's platform instead.

Cloudflare Workers AI; edge compute providers

The New Stack

Disintermediation of traditional CDN caching

AI agents retrieve answers from Claude rather than browsing cached web pages, reducing human-driven page requests. If AI mediates content discovery, fewer end-user requests reach CDN-cached origin servers.

headwind

Long-term erosion of traditional web caching revenue as human page views decline relative to bot/agent queries.

Akamai (most exposed, hardware-intensive legacy CDN model)

FinancialContent

AI-driven content disengagement

Akamai observed agentic traffic declining post-Cyber Week 2025 because many sites lack the structured data agents need. Agents disengage from unoptimised sites, shifting traffic away from poorly-structured CDN customers.

headwind

CDN customers in retail/media face traffic shifts if they don't optimise for agent consumption, reducing effective CDN utilisation.

Akamai customers in retail & media

Akamai AI Pulse

Capital expenditure burden (Akamai-specific)

Akamai is investing heavily in physical GPU inference infrastructure (Akamai Inference Cloud). CapEx is projected at 23–26% of revenue in 2026, weighing on margins even as AI-adjacent revenue grows 45%.

mixed

AI agents drive new revenue but at the cost of high capital intensity for hardware-focused CDNs — software-defined competitors benefit more.

Akamai (headwind); Cloudflare (tailwind — software model)

FinancialContent

Agentic content monetisation standards

Akamai predicts that 'agentic commerce will scale only where trust and permission are clearly established.' Agent identity frameworks (Visa Trusted Agent Protocol, Skyfire KYA) will require CDN-level enforcement of who agents are and what they can access.

mixed

CDNs that build agent identity and permission infrastructure early win new platform revenue; laggards become 'dumb pipes'.

All three — early movers win higher-margin platform roles

Akamai AI Pulse


So even if some tailwinds exist, Claude Managed Agents threaten to transform some of those tailwinds into headwinds. 


The key headwind is that Anthropic runs Managed Agents on its own cloud infrastructure. Users simply describe the agent, and Anthropic handles sandboxing, authentication, and tool execution. 


This keeps substantial compute spend inside Anthropic's own stack rather than at CDN edge nodes.

 

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