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agentic-ai

A collection of 57 issues

Claude leads enterprise orchestration while multi‑step agent use stays low

Anthropic's Claude leads enterprise agent orchestration by a wide margin, but the more revealing number in a VentureBeat Pulse survey of 101 enterprises is the gap between orchestration ambition and what those deployments actually do. Seventy-one percent of respondents say a quarter or fewer of their deployed

Amazon AGI lab says AI agent pilot to production gap is measurement failure

Amazon's AGI autonomy lead used a VB Transform 2026 stage to argue that the enterprise agent deployment gap is a measurement failure, not a capability one. Bryan Silverthorn, who joined Amazon through the Adept AI acquisition, said teams are still scoring agents on benchmarks that mask the dimensions

AI agents’ token usage surge makes seat‑based SaaS pricing untenable

DeepSeek's 75% price cut on its V4-Pro model makes inference cheaper at the per-token level, but the source frames this as insufficient against a structural problem: agent workflows amplify token usage from roughly 1:5 in a single-turn chatbot to 1:700 or higher in

Enterprise AI agents' wrong answers spur demand for governed context layers

Enterprise AI agent failures are pushing a new infrastructure layer into budget conversations, and the buyers doing the purchasing are disproportionately the ones already burned. According to VentureBeat's VB Pulse June 2026 survey of 101 enterprises with more than 100 employees, 57% traced a confident-but-wrong agent

VB Pulse AI agents pass tests but half of enterprises ship failures

Enterprise AI is shipping autonomous agents faster than it can verify them. According to the June 2026 VB Pulse survey of 157 qualified enterprise respondents at companies with 100 or more employees, half of enterprises have deployed an AI agent or LLM feature that passed internal evaluations and still caused

Trunk Tools cuts document review from 60 days to 10 with vertical-specific AI stack

Trunk Tools says it compressed construction document review cycles from 60 days to 10 by abandoning general-purpose models for a vertical-specific stack. Founder Sarah Buchner and CTO Amrish Kapoor describe a three-layer architecture that extracts symbols from messy PDFs and drawings, structures them into a knowledge graph,

Splunk's agentic AI workforce framework mirrors its own product surface

Splunk frames agentic AI in security and IT operations as a workforce design problem demanding a specific set of architectural responses. The sponsored VentureBeat piece, written by Splunk SVP and GM Kamal Hathi, argues that automating the work that once trained junior operators threatens both expertise pipelines and the human

Morgan Stanley's FIXR cuts P&L time by making agents less autonomous

Morgan Stanley's FIXR system cut P&L reconciliation work roughly in half, saving about 1,500 hours a week across roughly 100 controllers. The result came from an architecture that runs against the dominant agentic-AI narrative: the team designed the system to be less autonomous over

Anthropic prices Claude Sonnet 5 for IPO-era adoption, not capability gaps

Anthropic released Claude Sonnet 5 with introductory API pricing of $2 per million input tokens and $10 per million output tokens through August 31, rising to $3 and $15 after that. Standard Opus 4.8 pricing is $5 and $25. The capability story the company wants to tell is that

Agentic AI deployment is outpacing the data needed to train it well

MIT Sloan and BCG reported in November 2025 that 35 percent of surveyed businesses had already deployed AI agents, with another 44 percent planning to do so. That 79 percent share of enterprises moving toward agentic AI is the headline. The less visible story, surfaced in an MIT News Q&