GaaS News — The Publication of Record for Agentic AI as a Service
Pre-Launch · Coming 2026

SaaS built the last twenty years of software. Agents are building the next twenty. We’re here to cover it.

GaaS News is an independent publication reporting on the rise of Agentic AI as a Service — the companies, platforms, protocols, and economics replacing the subscription software stack with autonomous agents that actually do the work.

The Thesis

From software you log into, to agents that log in for you.

For two decades, the dominant shape of enterprise software was Software as a Service: a browser tab, a login, a seat license, a dashboard that sat still until a human came to operate it. SaaS was a revolution in distribution, but the unit of work remained unchanged — a person, clicking buttons, moving data from one screen to another.

Agentic AI as a Service — GaaS — changes the unit. The customer no longer rents a dashboard; they rent an outcome. An agent is hired, scoped, given tools and memory, and set loose against a job that used to require a team, a vendor, or a quarter of planning. The seat becomes a shift. The dashboard becomes a dispatch log. The vendor becomes a workforce.

This shift is already visible in funding rounds, hiring patterns, pricing models, and org charts. It is not yet visible, in any organized way, in the press. The technology trade is still mostly covering agents as a feature of chatbots, rather than as a new category of company, a new kind of contract, and a new line item on the P&L.

GaaS News exists to close that gap. We cover the agentic economy as a beat — with the seriousness the financial press applied to SaaS in the 2010s, the cloud in the 2000s, and the PC in the 1980s. Independent reporting. Named sources. Real numbers. No hype cycles disguised as product demos.

If you are building an agent platform, deploying agents inside an enterprise, investing in the category, regulating it, or trying to understand what happens to your job when a model can already do 60% of it — this publication is for you.

The Beats

What GaaS News Covers

Nine beats. One industry. Agentic AI as a Service, reported daily.
No. 01

Agent Platforms

The companies selling agents as a product: horizontal runtimes, vertical specialists, and the platforms attempting to become the operating system of the agent economy.

No. 02

Orchestration & Multi-Agent Systems

How agents are wired together: planners, routers, supervisors, and the emerging architectures for getting many agents to cooperate without catching fire.

No. 03

Protocols & Interop

The standards beneath the stack — tool-use protocols, agent-to-agent communication, identity, memory portability, and the politics of who controls the wiring.

No. 04

Enterprise Deployment

What actually happens when a Fortune 500 hires an agent: procurement, security review, evaluation, rollout, and the first honest reckoning with agentic ROI.

No. 05

Pricing & Business Models

The death of the seat. Outcome pricing, per-run pricing, capacity pricing, revenue share — and the hunt for a pricing primitive that actually scales with value delivered.

No. 06

Funding & M&A

Rounds, valuations, acquihires, and the venture capital flow into agent infrastructure. Who’s backing whom, at what price, and against what thesis.

No. 07

Labor & Workforce

The human side of the agent economy: displacement, augmentation, new roles (agent ops, agent PM, evaluator), and the organizational redesign that follows.

No. 08

Evaluation & Safety

Benchmarks, red-teaming, guardrails, incident reports, and the long tail of ways agents fail in production — reported without the usual PR polish.

No. 09

Policy & Regulation

Liability, compliance, data residency, sectoral rules, and the global patchwork of regulation forming around autonomous AI systems acting on behalf of humans and companies.

Editorial Position
“Every Saas company will become a GaaS company. No question about it.”
— Jensen Huang @ the GTC 2026 conference.
Reference

A Short Glossary of the Agent Economy

Terms you will see often on this site.
Agentic AI
Artificial intelligence systems that can take multi-step, goal-directed actions on behalf of a user — planning, using tools, retrieving information, and adapting to feedback — rather than only producing a single response to a single prompt.
Agentic AI as a Service (GaaS)
A commercial category in which autonomous AI agents are packaged, priced, and sold as a product. GaaS is to the agent era what SaaS was to the cloud era: the dominant go-to-market shape for the underlying technology.
AI Agent
A software system built on top of one or more AI models that can pursue a goal over multiple steps, call external tools, maintain state, and act without being prompted for every move.
Multi-Agent System
A configuration in which several specialized agents cooperate, negotiate, or compete to accomplish a task — typically coordinated by a supervisor, router, or shared plan.
Agent Orchestration
The layer of software responsible for deciding which agent runs, in what order, with which tools and context, and how results are composed into a final outcome.
Agent Protocol
A standardized way for agents, tools, and systems to talk to one another — covering things like tool invocation, memory exchange, identity, and agent-to-agent messaging.
Outcome Pricing
A pricing model in which the customer pays for a completed result — a resolved ticket, a closed case, a booked meeting — rather than for software access or compute time.
Post-SaaS
Shorthand for the emerging software era in which the dominant unit of value is an agent performing work, not a human operating a dashboard. GaaS is the commercial expression of the post-SaaS shift.
GaaS News · The Publication of Record for Agentic AI as a Service
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