Explore the Trend Library
Fresh, data-driven posts on adoption, roadmaps, and market shifts.

Cybercriminals Are Complaining About AI Slop in Cybercrime Forums
Generative AI is supercharging phishing, impersonation, and fraud while burying useful discussion on underground boards in low-value noise. Vendor research, government assessments, and reporting point to a market that is getting both more capable and more cluttered.

Games people — and machines — play: Strategic reasoning in multi-agent AI
New research connects market dynamics, hierarchical control, and workflow engineering to show how multi-agent systems learn and compete. Here’s what matters for pricing, marketplaces, and enterprise operations.

Building for the Rising Complexity of Agentic Systems with Extreme Co-Design
Agentic AI is shifting from task bots to persistent, policy-aware services that coordinate complex work. To ship reliable systems, teams need a co-designed stack spanning data, agents, orchestration, and runtime.

When AI Hiring Bias Blocks Candidates From Interviews
Automated résumé screeners, video interviews, and personality tests now shape who gets in front of a human. Evidence shows these tools can misfire, replicate old biases, and create legal risk if employers don’t audit and explain their use.

Red‑teaming AI agent networks: testing emergent risks
Multi‑agent AI ecosystems create new attack surfaces at the interaction layer, where cross‑agent trust, tool chains, and shared data can fail. Here’s how security teams can test and harden them.

Musk v. Altman trial AI governance implications: what business leaders need to know
The OpenAI lawsuit is a governance fight with real implications for partnerships, valuation, and labor planning. Here’s what the trial evidence shows and how leaders should respond.
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