venturebeat.com, as data

OpenAI is directly cutting per-token rates, Google is pairing lower prices with reductions in token use and tool calls, and Anthropic is emphasizing stronger task performance for the same price.## NewsroomPress Release## Librestream Increases Average Click-Through Rate 900% with ZoomInfoPress Release## Paul Cuffaro LLC Grew Revenue 320% After Rebuilding Its Prospecting With ZoomInfoPress Release## MarketSpark Grew Its Sales Pipeline 5X with ZoomInfoPress Release## Multiplier Raises $35 Million Series B to Build a New Model for Professional Services## VideoVB Transform 2026## Zendesk's 20 Billion Conversation ProblemAgentic infrastructure: How legacy stacks create the bottleneck to AI autonomy Multi-agent systems fail in production if the infrastructure underneath them isn't designed for autonomous, long-running loops.Token costs compound across chained tasks, latency bottlenecks surface inside orchestration layers, and agents drift from their original intent with no mechanism to catch this drift before downstream damage is done.This panel brings together agentic AI leaders who have moved past first-generation agentic deployments to deconstruct four key drivers of success:Inference Economics: How teams are managing cost-per-task in long-running agentic loops, including where speculative decoding and purpose-built small language models actually reduce spend versus where they add complexity.Physical Infrastructure decisions: Compute density, storage, memory, GPUs, inference processing unitsOrchestration Design: When a central master agent creates a single point of failure versus when a decentralized mesh or hybrid approach introduces coordination overhead and how to make that call based on your workload.