Blog · AI & Technology
AI Agents Go to Work: The Numbers, and Six .com Names for the Agent Economy
AI is moving from assistants that answer questions to agents that carry out tasks: booking, researching, writing code, qualifying leads, filing tickets. Gartner predicts that 40% of enterprise applications will include task-specific AI agents by the end of 2026, up from less than 5% in 2025 (Gartner). In its best-case scenario, agentic AI could drive about 30% of enterprise application software revenue by 2035, more than $450 billion.
This article looks at where AI agents stand today, with figures and their sources, and introduces six .com names built for the agent economy.
Figures last checked: October 2026.
1. Large companies are scaling agents first
McKinsey's 2026 State of AI survey found that 40% of respondents from large organisations (annual revenue above $1 billion) report scaling AI agents, up from 27% a year earlier. Among smaller organisations the share stayed flat at 22% (McKinsey). Coding agents are an early example: 32% of respondents say their organisation decided against buying at least one software product or feature because it could be built in-house with agentic coding tools.
2. The hype has a filter
Not every agent project will survive. Gartner predicts that over 40% of agentic AI projects will be canceled by the end of 2027, because of rising costs, unclear business value or weak risk controls. It also warns about "agent washing", where existing chatbots and automation tools are relabelled as agents, and estimates that only about 130 of the thousands of vendors calling themselves agentic AI companies are real (Gartner, June 2025).
For the companies that remain, a clear name can help them stand out among many vendors: one that says what the agent does and where it fits, whether that is the platform it runs on, the job it does or the team it serves.
3. Where agents are being put to work
Gartner expects agentic AI to make at least 15% of day-to-day work decisions autonomously by 2028, up from 0% in 2024, and expects 33% of enterprise software applications to include agentic AI by then (Gartner). Three layers are taking shape: the infrastructure that hosts and connects agents, horizontal agents for sales and operations, and specialist agents for fields such as engineering design.
The names
Six .com names, two for each layer: infrastructure, business functions and specialist work.
AgentsRoot.com
AI agent: software that uses AI to plan and carry out tasks for a user, such as research, scheduling or data entry.
AIAgentServe.com
Agent serving: running AI agents on servers so that apps and users can call them reliably and at scale.
AgentXLeads.com
Sales lead: a person or company that may become a customer and is passed to sales for follow-up.
OpexBot.com
Opex (operating expenditure): the ongoing costs of running a business, such as salaries, rent, software and supplies.
AICADAgent.com
CAD (computer-aided design): software used by engineers and designers to create and edit 2D drawings and 3D models.
Agenticrux.com
Agentic AI: AI systems that can plan steps and take actions towards a goal with limited human input.
Who these names are for
- Agent platform start-ups building hosting, orchestration or registries for AI agents.
- Sales and operations software companies adding agents to their products, or launching an agent under its own brand.
- Engineering software vendors bringing AI into CAD and design workflows.
- Consultancies and media focused on agentic AI.
Buy one, or the whole set
Together the six names cover the agent stack: where agents run (AgentsRoot.com and AIAgentServe.com), the business work they do (AgentXLeads.com and OpexBot.com) and specialist use plus a flexible brand (AICADAgent.com and Agenticrux.com). Each can be bought on its own with Buy Now, or you can make one offer for the whole set with the Make Offer for the Bundle button. Direct deals close through Escrow.com, and you will get a personal reply within 24 hours.