20 sources filed · EN 13 · RU 5 · ZH 2
The original hypothesis, about 18 months before the talk: cut average customer handling time by at least 30 seconds without lowering quality.
12,000active users, mostly contact-centre operators, out of 75,000+ with access
An AI pre-analysis of about 26 critical components, checked by component owners, produced a database of scenarios and test cases with priorities; the video description cites 28 components in five languages and more than 11,000 test cases, the talk more than 13,000.
70%pipeline runs that produced a successful merge request, out of about 1,500
He estimates coding-agent penetration among developers at about 99%; every other vertical is far behind.
61%pass rate of the best frontier model on Alibaba's 107 real e-commerce tasks, with no human intervention
Prime Agent, launched in August, has been downloaded more than 300,000 times and processed over 8 trillion tokens.
2,209agents in the swarm, exchanging 16,758 agent-to-agent messages and using 228.70B tokens
A two-week iteration cycle (spec, design, build, test, release, measure) now takes a team of one or two people half a day.
30+products Guo Yu built alone with coding agents in roughly three to four months, many unreleased
46% of firms with at least one employee use AI tools; another 15% plan to within 12 months.
33 vs 15 ppnet share expecting higher employment next 12 months, AI users versus non-users
Historical comparison: railroads about 2.2% of GDP (1870-1890 peak), highways about 1.1% (1950s), telecom/fiber about 1.1%, canals about 0.66%, electrification about 0.5%.
$10.3 trillionprojected US AI data center buildout, 2025-2032
Models: gemini-3.1-flash-lite, claude-haiku-4-5, gpt-5-nano, deepseek-flash, reasoning set to the lowest available level.
0.92collusion index in Gemini plus Claude markets, higher than either alone
OpenAI run: GPT-5.6 Sol and GPT 6 Astra, over $400,000 in API-priced tokens, over 1.3 million lines of Rust over several months of goal loops, about 84% compatibility at best.
$400,000+API-priced tokens spent on GPT-5.6 Sol and GPT 6 Astra, which never got past about 84% compatibility
10 skills built in about two months with Anthropic's skill-creator: acceptance criteria, Bamboo deployment, WireMock stubs, task testing, OpenSearch logs, bug reports, Allure test cases, daily test report and others.
10Claude Code skills built over about two months, covering the full QA workflow
About 4,000 PRs a day pass through NeuroReview, roughly 40% of PRs created in Arcadia; use is voluntary and internal only.
~4,000pull requests a day reviewed by NeuroReview, about 40% of all PRs in Yandex's Arcadia monorepo
Launched 28 May 2023 with just over 200 problems; comments added August 2025.
1221problems hosted on erdosproblems.com, with over 9000 comments and almost 2000 registered users
Five streams: consumer apps, model access (API and flat-rate plans), enterprise and government customisation, licensing fees, and indirect revenue from complementary products.
88% to 22%Z.ai's share of GLM 5.3 Flash tokens on OpenRouter within 20 days of releasing the weights
Subscriptions are about 10% of Anthropic revenue but take over 40% of inference compute, lowering blended revenue per MW by about $36M.
~5xAPI-equivalent value of Claude plans vs OpenAI plans at the mid-tier models (Opus 5.5 vs GPT 6.1 Sol)
Median researcher daily spend: $0.17 (week ending 18 January), $10.45 (8 March), $136.68 (31 May), $601.25 (15 August).
$601.25median OpenAI researcher's daily coding-agent use at API prices, week ending 15 Aug 2026
Cost per MW: about $11 million for the building, $2 million for power infrastructure, $28 million for GPU racks and IT; a 200 MW campus costs about $8.2 billion, two-thirds of it IT equipment.
$41 billionestimated cost of a 1 GW AI campus ($41 million per MW)
In a 30-day September 2025 sample, the time from a test-failure notice to the developer's next edit was 2.37 minutes at p10, 6.72 at p25 and 27.48 at p50; this is the window the agent targets.
67.18%correct fixes in expert review of 195 real test failures
The specification is the single source of truth; code is treated as secondary and in principle regenerable in another language.
about 90%share of reviewer blockers caused by missing edge-case tests
56.9k jobs added in September, led by Public Administration and Health Care and Social Assistance; Information and Transportation declined.
48%fall in the number of firms newly adopting generative AI from the April 2026 peak
Second-stage slope of 1.24: a 1 pp move in the AI index predicts 1.24 basis points more return per 1 pp higher software engineering payroll share.
32.6%market-implied permanent gain in software engineering productivity from AI news, Nov 2022 to Dec 2025