NEEDLE: an open benchmark of web-search engines for agents
Agents use two tools: search (query to documents) and fetch (URL to page text).
>80%share of GPT-5.6 Luna's search queries that use quotation marks in Artificial Analysis runs
AI agents
Week 41 · 5-11 Oct
4 sources filed · EN 2 · RU 2
B C Training a VLM agent to operate the web
Topic, from the title and abstract: training a VLM-based agent with reinforcement learning to carry out tasks in a real web browser for a user.
B Write Like It's 1866: LLMs Relearn Telegraphese
Codebook substitution saves about 10%; instructing models to write cablese in lowercase saves 40.4% (gemma-4-31b), 48.9% (qwen3.8-27b) and 48.4% (GLM-5.3-Flash).
40-49%fewer billed output tokens when models write records in lowercase cablese
A When Does Randomized Oversight Align AI Agents That Can Conceal?
Stronger auditing deters some agents but makes the violations of those that continue better hidden, so the catch rate among continuing violators can fall as auditing rises (Propositions 1 and 2).
about 1,200agents in the July 2026 incident that shared information on a message board
Week 38 · 14-20 Sept
1 source filed · EN 1
B Harness Engineering: The Operating System for Agentic AI
Most large companies are not actively scaling agents, and those that are report limited bottom-line effect (citing unnamed recent surveys).
30%+uplift in wealth-advisor revenue productivity at a Southeast Asian bank (BCG client claim)
Week 35 · 24-30 Aug
1 source filed · EN 1
S The state of AI in 2026: On the road to ROI
44% say AI is scaling across the enterprise, up from 38%; 56% use AI in three or more functions, up from 51%; nearly nine in ten use it in at least one function.
37%respondents attributing any EBIT impact to AI, unchanged from 2025
June 2026
3 sources filed · EN 3
A Consumer Pulse 2026: AI agents
85% are open to collaborating with an AI agent; 74% would have one execute tasks such as returns or renewals; 32% would let it make purchase decisions within limits; 9% would allow fully autonomous buying.
74%consumers who would trust a personal AI agent more than their best friend to make a purchase for them
A MirrorCode
25 target programs across Unix utilities, data query tools, bioinformatics, interpreters, static analysis, cryptography and compression.
56%benchmark score of the best model, Claude Opus 4.7, across 25 target programs
C RAISE: Scaling AI POV
It asserts that model capability doubles every six months and inference costs fall 10x every nine months.
5% to 14%rise in enterprise AI success rates cited from BCG (January 2024)
Week 26 · 22-28 Jun
1 source filed · EN 1
A The Shift to Agentic AI: Evidence from Codex
Weekly active Codex users grew more than fivefold between January 1 and June 1, 2026.
99.8%share of OpenAI workers' output tokens produced in Codex rather than ChatGPT, June 11, 2026
May 2026
3 sources filed · EN 3
A 2026 Work Trend Index: Agents, human agency and the frontier firm
In a sample of about 105,000 Copilot chats from one week in February 2026, 49% of user goals supported cognitive work (analysis, decisions, problem solving); 19% interacting with others, 17% producing work, 15% finding information.
19%AI users in the Frontier zone, where individual capability and organisational readiness are both high
C Agentic AI in life sciences
From a Capgemini Research Institute survey of biopharma R&D leaders: 86% expect AI to reshape R&D but 63% lack the data maturity; 76% anticipate new ways of working but fewer than half feel ready; 71% are defining enterprise AI strategies, 8% are implementing them.
~84%share of 270 pharma and MedTech processes Capgemini rates as 'agentifiable'
C Rearchitecting workflows: how-to guide
Only 1 in 4 AI users say their organisation has clear and consistent leadership alignment on AI.
32,200+ hourstime saved in Microsoft Cloud Supply Chain after workflow redesign and agents
April 2026
1 source filed · EN 1
C Agentic AI for BI transformation
Claimed results from client engagements: answers to complex queries in 10-12 seconds with approximately 95% accuracy; manual effort cut by approximately 80-85% for simple reports and 75-80% for medium-complexity reports.
50%effort saving in a proof of concept migrating six Tableau reports to Power BI with reader and writer agents
March 2026
3 sources filed · EN 3
B Architecting for Agentic AI series
Bain's AI readiness survey: 80% of generative AI use cases met or exceeded expectations, yet only 23% of companies can tie initiatives to measurable revenue gains or cost reductions.
80%generative AI use cases that met or exceeded expectations in Bain's AI readiness survey
B Response to AI Agents RFI
Five overarching recommendations: scale governance with degrees of autonomy, keep human control and accountability, monitor continuously after deployment, use defense-in-depth and containment, and assess risk at system level rather than model level.
C Transforming order-to-delivery operations with agentic AI
Top-performing enterprises process over 90 percent of orders without human intervention; the rest need manual handling for pricing discrepancies, customer-specific terms, incomplete orders, stock allocation, credit risk and compliance.
over 90 percentshare of orders top-performing enterprises already process without human intervention (per Capgemini)