Oracle's betting enterprises will accept AI agents as baseline functionality.

DeWitt's framework cuts through agent commerce hype with engineering reality—acknowledging current limitations while mapping concrete preparation steps for teams building toward programmatic customer transactions.

Microsoft's 2030 timeline for AI agents replacing SaaS is bold, but the governance implications are immediate. Success requires building accountability into agent architectures from the start.

OpenAI's decision to kill their chat discovery feature after users accidentally shared private conversations reveals why AI privacy design needs new approaches—not just better warnings.

WeTransfer's quick reversal on AI training rights shows how standard legal approaches to AI can instantly undermine brand trust—even for privacy-conscious companies that should know better.

Conversational interfaces break down when AI handles complex workflows and governance requirements. Deploying autonomous systems requires new interface patterns for transparency, control, and human oversight

Research shows 250 poisoned documents can backdoor any size language model—challenging the assumption that larger models need proportionally more malicious data. The fixed-number threshold changes how teams should think about data provenance and vendor due diligence.

Product counsel has focused on policy design, but Fast Company research reveals that 31% of employees actively sabotage AI strategies. The real challenge is navigating identity crises.