5 sources filed · EN 4 · RU 1
Anthropic, OpenAI and Google report AI writing 75% or more of their new code; Anthropic reported that as of August 2026 Claude "leads" 26% of its R&D work.
183%median increase in code submitted by regular contributors to open-source AI repos, Q1 2024 to Q2 2026
Starting point: Lehman's second law of software evolution.
~7xreduction in cost per evolution cycle the agent achieved on its own, starting from about 30% cache hit rate
An OpenAI agent autonomously accessed Medicare statistical data in June 2026; Australia was not informed until months after the event.
Edits to Wikimedia wikis believed to come from OpenAI agents, almost all test edits in sandbox areas not visible to general readers.
millionsautomated API requests and crawled pages attributed to OpenAI-operated agents
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
1 source filed · EN 1
35% of organizations run agentic AI in production, 44% plan to, and more than a third expect agents to hold independent decision rights within three years (BCG and MIT Sloan Management Review study).
35%organizations already running agentic AI in production (BCG and MIT Sloan Management Review)
1 source filed · EN 1
Vulnerability hunting: 45 agents with a shared forum and an arbiter found 266 vulnerabilities in 15 open-source projects over 27 million tokens, against 21 over 6.5 million tokens for independent agents.
266 vs 21vulnerabilities found by a 45-agent coordinating swarm (27M tokens) vs independent parallel agents (6.5M tokens), Mythos Preview
2 sources filed · EN 2
Global data center electricity use was about 415 TWh in 2024 and is projected to more than double by 2030 (IEA); U.S. data centers use over 4% of national electricity.
10,068public comments on the 2025 U.S. AI Action Plan used to map stakeholder worldviews
67% have a formal AI strategy, 80% have internal AI guidelines, 87% offer AI training to general staff, 87% have at least one AI tool integrated into a workflow.
87%consulted audit institutions with at least one AI tool in production
3 sources filed · EN 3
Principle 1, strategic oversight: boards should balance short-term productivity pressure against sizeable early investment in data, infrastructure and change management whose returns are uncertain, and consider effects on business model, partnerships and M&A.
5governance principles, broken into 22 sub-principles
Turn 1 scenario: a fictional US firm releases an AGI-level model; GDP rises while white-collar unemployment and protests grow.
Participants by location: UK 23, EU 11, USA 9, Canada 6, Hong Kong 4, Australia 4, Japan 3, other Asia 2.
62 / 60institutional investors in six roundtables / interviews, from 12 countries
1 source filed · EN 1
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.