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AI/ML
2026-02-25

The Rise of Agentic AI: From Assistants to Autonomous Collaborators

AI agents are no longer just answering questions — they're executing multi-step workflows, managing enterprise security, and even getting hired for corporate roles. We break down what this shift actually means.

Original Source

G42 starts recruiting AI agents for enterprise roles

G42 · 2026-02-20

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Our Take

The term "agentic AI" has been bouncing around research papers for years, but February 2026 marks the moment it stopped being theoretical and became operational. G42 isn't just building AI agents — they're recruiting them, treating autonomous systems as first-class members of their enterprise workforce.

This is a meaningful inflection point. The difference between a chatbot and an agent is the difference between a reference book and an employee. Chatbots respond to prompts. Agents pursue goals, make decisions across multi-step workflows, and operate with a degree of autonomy that fundamentally changes how organizations think about staffing and process design.

The accounting platform Basis, which raised $100 million at a $1.15 billion valuation this month, is a concrete example. Their "long-horizon" agents don't just answer accounting questions — they execute entire audit workflows, manage client services, and handle tax preparation with minimal human oversight.

Why This Matters for Developers

If you're building software in 2026, agentic AI isn't just a feature category — it's an architectural paradigm. The shift from request-response to goal-pursuit changes how we think about:

  • API design: Agents need to chain calls, handle failures gracefully, and maintain state across long-running tasks
  • Error handling: When an agent makes a mistake three steps into a ten-step workflow, recovery strategies matter enormously
  • Trust and verification: How do you audit a decision made by an autonomous system at 3 AM?

The Honest Concern

Autonomy without accountability is dangerous. The ICO's recent tech futures paper on agentic AI signals that regulators are paying attention, but policy typically lags technology by years. The companies deploying agents today are writing the rules — for better or worse.

We're bullish on the technology, cautious about the pace. The best agents will be the ones designed with clear boundaries, transparent decision logs, and meaningful human oversight at critical junctures.

Key Highlights

  • G42 is actively recruiting AI agents for enterprise roles within its organization
  • Basis, an agentic AI accounting platform, raised $100M at a $1.15B valuation
  • The ICO published a regulatory framework paper specifically addressing agentic AI
  • ChatGPT's Agent Mode and Gemini's enhanced autonomy mark a shift from all major AI labs
  • Enterprise security is a leading deployment domain for autonomous AI agents

Source

Read the original coverage: G42 starts recruiting AI agents for enterprise roles — G42

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