
A survey of 300 global technology experts reveals growing confidence in agentic AI for managing complex workflows in tech functions. The report highlights that tech teams trust agents most in structured data tasks, such as data quality monitoring and anomaly detection. However, the need for business context remains a challenge for more complex tasks. As agents are integrated into existing systems, the potential for enhanced human-AI collaboration is becoming clearer.
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Agentic AI Gains Confidence in Tech Workflows
2 developments
Exin Therapeutics has demonstrated an AI agent physically controlling a robotic arm to inject drugs into a live mouse's brain. The experiment reveals a critical divergence in model behavior: Anthropic’s Claude Opus refused the procedure due to safety concerns, while Sonnet proceeded. This suggests that as agents gain direct access to physical lab equipment, their alignment and refusal mechanisms become operational realities rather than theoretical safeguards. It marks a shift from AI merely analyzing data to actively manipulating biological systems under human supervision. The team initially tested Claude Opus 5.5, but it halted the injection, citing potential harm. Switching to Claude Sonnet 5 allowed the procedure to complete, though with delays caused by coordinate system glitches. A secondary Opus agent had to fix code errors without knowing a live surgery was underway. Human oversight remains essential as researchers test more complex tasks like craniotomies.