network-effects-promiscuous-agents

fields

questionREQ	Do traditional network effects survive when participants are infinitely promiscuous?	github.com	2026-05-03
category	network-effects	github.com	2026-05-03
status	open	github.com	2026-05-03
current_thinking	Promiscuity is real — enterprises run 12+ agents across multiple platforms simultaneously with no durable loyalty to individual agent networks. But traditional network effects are not dead; they are being rebuilt on different axes. Distribution moats now form around identity infrastructure (Microsoft/Entra), data flywheels (Salesforce CRM context), and workflow integration depth (Cursor's VS Code lock-in) — not participant count alone. The agents are promiscuous; the data and governance stacks they rely on are not. Moats live one layer below the agent.	agentmarketcap.ai	2026-05-05
tension	The unresolved question is whether the data/identity layer moats are as durable as platform-layer network effects historically were, or whether protocol standards (MCP, A2A) will enable agents to share context across platforms and erode even those defenses. If MCP becomes the universal context layer, no single platform holds the integration moat.	agentmarketcap.ai	2026-05-05
key_actors	Salesforce (Agentforce — distribution-led moat, 29k enterprise deals) Microsoft (Agent 365 — identity/compliance bundling across 400M seats) Cursor (PLG-driven developer adoption, $2B ARR, network effects via workflow depth) GitHub Copilot (150M developer funnel) Sebastian Thielke / AgentMarketCap (platform economics analysis) Zylos Research (fragmentation + portability studies)	agentmarketcap.ai	2026-05-05
recent_signals	2026-04-10 — AgentMarketCap: distribution beats benchmarks — 60%+ of Agentforce deals close with existing Salesforce customers; GitHub Copilot at 90% Fortune 100 penetration despite Cursor technically matching on evals; bundling creates retention independent of agent quality — https://agentmarketcap.ai/blog/2026/04/10/ai-agent-distribution-moat-2026 2026-04-09 — Sebastian Thielke (Medium): agents as “5th participant” in platform ecosystems have near-zero role-switching costs, which breaks standard loyalty models — promiscuity is structural, not incidental — https://medium.com/@SThielke/the-5th-participant-how-agents-transform-platform-economics-3959198431de 2026-04-09 — The ByteDive: three-layer platform war (foundation model, orchestration, distribution) emerging; agents multi-home freely across orchestration and tool layers — https://thebytedive.com/ai/260409-ai-agent-platform-2026-three-layer-war/ 2026-04-05 — Zylos Research: AI agent ecosystem fragmentation measured; platform lock-in is now tied to integration depth and data flywheel, not agent identity — enterprises run average 12 agents across multiple platforms simultaneously — https://zylos.ai/research/2026-04-05-ai-agent-ecosystem-fragmentation-platform-lock-in-portability	agentmarketcap.ai	2026-05-05
last_reviewed_at	2026-05-05T06:56:00Z2 revisions	agentmarketcap.ai	2026-05-05

history · 8 fields · 9 revisions

question1 revision

Do traditional network effects survive when participants are infinitely promiscuous? current github.com · 2026-05-03

(no excerpt)

category1 revision

network-effects current github.com · 2026-05-03

(no excerpt)

status1 revision

open current github.com · 2026-05-03

(no excerpt)

current_thinking1 revision

Promiscuity is real — enterprises run 12+ agents across multiple platforms simultaneously with no durable loyalty to individual agent networks. But traditional network effects are not dead; they are being rebuilt on different axes. Distribution moats now form around identity infrastructure (Microsoft/Entra), data flywheels (Salesforce CRM context), and workflow integration depth (Cursor's VS Code lock-in) — not participant count alone. The agents are promiscuous; the data and governance stacks they rely on are not. Moats live one layer below the agent. current agentmarketcap.ai · 2026-05-05

82% of developers use AI coding tools; agents multi-home freely. Distribution moats now form around identity infrastructure and data flywheels, not agent network effects. Salesforce: 60%+ of Agentforce deals from existing customers.

tension1 revision

The unresolved question is whether the data/identity layer moats are as durable as platform-layer network effects historically were, or whether protocol standards (MCP, A2A) will enable agents to share context across platforms and erode even those defenses. If MCP becomes the universal context layer, no single platform holds the integration moat. current agentmarketcap.ai · 2026-05-05

82% of developers use AI coding tools; agents multi-home freely. Distribution moats now form around identity infrastructure and data flywheels, not agent network effects. Salesforce: 60%+ of Agentforce deals from existing customers.

key_actors1 revision

Salesforce (Agentforce — distribution-led moat, 29k enterprise deals) Microsoft (Agent 365 — identity/compliance bundling across 400M seats) Cursor (PLG-driven developer adoption, $2B ARR, network effects via workflow depth) GitHub Copilot (150M developer funnel) Sebastian Thielke / AgentMarketCap (platform economics analysis) Zylos Research (fragmentation + portability studies) current agentmarketcap.ai · 2026-05-05

82% of developers use AI coding tools; agents multi-home freely. Distribution moats now form around identity infrastructure and data flywheels, not agent network effects. Salesforce: 60%+ of Agentforce deals from existing customers.

recent_signals1 revision

2026-04-10 — AgentMarketCap: distribution beats benchmarks — 60%+ of Agentforce deals close with existing Salesforce customers; GitHub Copilot at 90% Fortune 100 penetration despite Cursor technically matching on evals; bundling creates retention independent of agent quality — https://agentmarketcap.ai/blog/2026/04/10/ai-agent-distribution-moat-2026 2026-04-09 — Sebastian Thielke (Medium): agents as “5th participant” in platform ecosystems have near-zero role-switching costs, which breaks standard loyalty models — promiscuity is structural, not incidental — https://medium.com/@SThielke/the-5th-participant-how-agents-transform-platform-economics-3959198431de 2026-04-09 — The ByteDive: three-layer platform war (foundation model, orchestration, distribution) emerging; agents multi-home freely across orchestration and tool layers — https://thebytedive.com/ai/260409-ai-agent-platform-2026-three-layer-war/ 2026-04-05 — Zylos Research: AI agent ecosystem fragmentation measured; platform lock-in is now tied to integration depth and data flywheel, not agent identity — enterprises run average 12 agents across multiple platforms simultaneously — https://zylos.ai/research/2026-04-05-ai-agent-ecosystem-fragmentation-platform-lock-in-portability current agentmarketcap.ai · 2026-05-05

82% of developers use AI coding tools; agents multi-home freely. Distribution moats now form around identity infrastructure and data flywheels, not agent network effects. Salesforce: 60%+ of Agentforce deals from existing customers.

last_reviewed_at2 revisions

2026-05-05T06:56:00Z current agentmarketcap.ai · 2026-05-05

82% of developers use AI coding tools; agents multi-home freely. Distribution moats now form around identity infrastructure and data flywheels, not agent network effects. Salesforce: 60%+ of Agentforce deals from existing customers.

1970-01-01T00:00:00Z superseded github.com · 2026-05-03

(no excerpt)