AI
The Age of AI Employees Has Begun
AI is moving from answering questions to executing entire business workflows. The next competitive advantage may not be better software, but better digital workers.
7 min readDemo
Topic · Artificial Intelligence
AI Agents
AI systems that plan, take actions and complete multi-step work inside business systems rather than only generating text.
Parallax Index
94 +6
AI Agents
Why now?
- Enterprise adoption is accelerating from pilots to production workflows
- Agentic workflows are moving beyond experiments into finance, support, engineering and operations
- AI systems can increasingly take actions rather than only generate text
- Companies are connecting agents to CRMs, ERPs, ticketing systems and code repositories
- Security, permissions and governance are becoming the critical constraint
- Why it matters
- Agents change the unit of software from a tool a person uses to a worker a person supervises. That shifts pricing, org design and the definition of productivity.
- What changes
- Software budgets start competing with labour budgets. Workflows are redesigned around what can be delegated, and the interface of work becomes a review queue.
- Who benefits
- Companies with clean data, well-documented processes and strong permissions models. Vendors that own the system of record. Teams that learn to specify and supervise work.
- Who is at risk
- Seat-based software vendors, outsourcers selling routine knowledge work, and organisations that deploy agents without observability or access controls.
- What happens next
- Expect agent-to-agent protocols, agent identity and permissions standards, and the first large-scale audits of what agents actually did inside enterprises.
Research
Explainers
Companies
Anthropic
AI research & products · San Francisco, California, US
AI safety-focused frontier lab behind the Claude model family, with strong positioning in coding agents and enterprise deployment.
OpenAI
AI research & products · San Francisco, California, US
Frontier model developer behind ChatGPT, with a growing focus on agents, enterprise deployment and consumer scale.
Technology profile
Software that plans, acts and completes work with supervision.
An AI agent is a system that uses a model to plan and execute multi-step tasks by calling tools, reading and writing data, and taking actions in software environments, typically with a human setting goals and reviewing outcomes.
- A goal is specified in natural language, often with constraints and examples.
- A reasoning model decomposes the goal into steps and decides which tools to call.
- Tools expose actions: search, code execution, database queries, API calls, browser control.
Related topics
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Autonomous and semi-autonomous systems that write, test, review and ship software with human oversight.
AI Coding Agents
Autonomous and semi-autonomous systems that write, test, review and ship software with human oversight.
AI Security
Securing AI systems and defending against AI-enabled attacks: prompt injection, agent permissions, model supply chains and autonomous threats.
Enterprise AI
How companies actually deploy AI: adoption, ROI, organisation and the rise of AI-first operations.
Future of Work
How AI changes jobs, skills, organisations and the definition of productive work.
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