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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.

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Companies

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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

Open

Securing systems that act, not only answer.

Agent security is the set of controls that govern what AI agents can access and do: identity, permissions, input validation, monitoring and containment for systems that take actions with tools.

  • Each agent is assigned an identity with scoped, revocable credentials.
  • Least-privilege permissions limit which tools and data an agent can touch.
  • Untrusted inputs are isolated so injected instructions cannot escalate actions.

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