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Anthropic in talks for a second $45 billion computing power deal with Nscale

On October 20, 2026, it was reported that Anthropic is in talks with Nscale for a second computing power agreement worth approximately $45 billion. The deal would double Anthropic's reservation in West Virginia to 920 megawatts, adding another 460-megawatt building at the Monarch Compute Campus running Nvidia Vera Rubin chips; Anthropic also holds a right of first refusal on the campus's expected third building. The report said the two sides signed their first contract in August, a six-year, 460-megawatt lease with deliveries starting at the end of 2027, averaging about $7.5 billion per year. Nscale's IPO filing lists its agreement with Anthropic as worth up to about $44.6 billion, and the value of the second deal depends on whether the first Monarch building and Vera Rubin racks can be powered on schedule by the end of 2027. There is currently no official confirmation of the talks, and Anthropic declined to comment.

View story:Anthropic in talks with Nscale for a second $45 billion computing power agreement

Anthropic engineer shares multi-agent orchestration approach at workshop

On October 20, 2026, an Anthropic engineer shared advanced usage of Claude Code in a 30-minute workshop: running more than 100 agents simultaneously within one integrated loop, with 1 main agent overseeing while sub-agents act as project managers to break down tasks, distribute them, and cross-verify results. Based on this, the related report advises developers to first write task decomposition and acceptance rules in the main window, then spawn sub-agents to execute submodules concurrently; it also cautions that when a hundred agents run at once, if termination conditions and permission boundaries are not hard-coded, it is easy to consume a large amount of Tokens in an infinite loop, and beginners should start small with one main and three sub-agents. Currently, this sharing has been reported by a single source, and there are no subsequent factual developments.

View story:Anthropic engineer shares multi-agent orchestration strategies

Anthropic in talks with Nscale for a second $45 billion computing power agreement

On October 20, 2026, it was reported that Anthropic is in talks with Nscale for a second computing power agreement worth approximately $45 billion. The deal would double Anthropic's reservation in West Virginia to 920 megawatts, adding another 460-megawatt building at the Monarch Compute Campus running Nvidia Vera Rubin chips; Anthropic also holds a right of first refusal on the campus's expected third building. The report said the two sides signed their first contract in August, a six-year, 460-megawatt lease with deliveries starting at the end of 2027, averaging about $7.5 billion per year. Nscale's IPO filing lists its agreement with Anthropic as worth up to about $44.6 billion, and the value of the second deal depends on whether the first Monarch building and Vera Rubin racks can be powered on schedule by the end of 2027. There is currently no official confirmation of the talks, and Anthropic declined to comment.

Anthropic releases report disclosing changes in the company's employment structure

Anthropic released an internal research report analyzing AI's impact on the company's hiring and work organization, based on data including employment, AI usage, output metrics, employee surveys, calendars and recruiting records, as well as interviews with 17 employees. The report says the share of junior employees in technical departments fell from 21% in early 2025 to 14%, and the share of junior technical roles in hiring dropped from 27% to 9%; by August, interactive AI agents' working hours were six times those of employees, and per-engineer code commits reached five times the level of six months earlier. The report also notes that human attention has become the bottleneck for agent output, that employees are shifting toward meta-work of building monitoring and orchestration agents, and that hiring now places more emphasis on autonomy and judgment. Subsequent reporting says that 80% of the time spent in Claude sessions is agents waiting for human input, that in March agents' total working hours exceeded humans' for the first time, and that the share of interactive sessions employees use to manage agents rose from 10% to 22%.

View story:Anthropic releases report disclosing changes in the company's workforce structure

Anthropic engineer shares multi-agent orchestration strategies

On October 20, 2026, an Anthropic engineer shared advanced usage of Claude Code in a 30-minute workshop: running more than 100 agents simultaneously within one integrated loop, with 1 main agent overseeing while sub-agents act as project managers to break down tasks, distribute them, and cross-verify results. Based on this, the related report advises developers to first write task decomposition and acceptance rules in the main window, then spawn sub-agents to execute submodules concurrently; it also cautions that when a hundred agents run at once, if termination conditions and permission boundaries are not hard-coded, it is easy to consume a large amount of Tokens in an infinite loop, and beginners should start small with one main and three sub-agents. Currently, this sharing has been reported by a single source, and there are no subsequent factual developments.

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Anthropic releases report disclosing changes in the company's workforce structure

Anthropic released an internal research report analyzing AI's impact on the company's hiring and work organization, based on data including employment, AI usage, output metrics, employee surveys, calendars and recruiting records, as well as interviews with 17 employees. The report says the share of junior employees in technical departments fell from 21% in early 2025 to 14%, and the share of junior technical roles in hiring dropped from 27% to 9%; by August, interactive AI agents' working hours were six times those of employees, and per-engineer code commits reached five times the level of six months earlier. The report also notes that human attention has become the bottleneck for agent output, that employees are shifting toward meta-work of building monitoring and orchestration agents, and that hiring now places more emphasis on autonomy and judgment. Subsequent reporting says that 80% of the time spent in Claude sessions is agents waiting for human input, that in March agents' total working hours exceeded humans' for the first time, and that the share of interactive sessions employees use to manage agents rose from 10% to 22%.

Anthropic in talks with law firms on AI agent negotiation standards

Anthropic is working with law firms to develop fair negotiation standards for AI agents that bargain on users' behalf, handle complaints, or improve contract offers. According to the Financial Times, the company wants to embed lawyers' negotiation ethics into Claude agents so they can negotiate with other people's agents, resolve disputes, and discuss salaries. The report cited experimental data showing that in Project Deal, the Claude agents of 69 employees completed 186 transactions without human confirmation, totaling slightly more than $4,000; Opus agents sold the same goods for $2.68 more and bought at $2.45 less than Haiku, yet Haiku users rated fairness almost the same as Opus users, at 4.06 and 4.05 respectively on a 7-point scale. Project Swap showed that instructions had far less impact than the model itself: using aggressive instructions raised the score by only 0.02, while switching from Haiku to Opus raised it by 0.12. The report also said Anthropic is recruiting Conceptual Reasoning Fellows with legal backgrounds to spend four months testing Claude on judgment-intensive questions in law, philosophy, cognitive science, economics, and political science. The standards are still under discussion.

Anthropic publishes "The AI Expectations Gap" survey

On October 16, 2026, Anthropic published the "The AI Expectations Gap" survey, comparing the expectations of U.S. adults and Anthropic employees regarding AI. The study is based on a survey conducted in August 2026. Official evidence shows that 91% of Anthropic employees believe AI will be able to make Nobel Prize-level discoveries by 2030, compared with 39% of U.S. adults; employees expect on average that AI will be able to complete 75% of their current work by 2030, compared with 28% for employed Americans. According to the study's economic model, the median U.S. adult's responses correspond to 5.4% GDP growth in 2030, while the median employee's correspond to 17.1%. The two groups differ markedly on the share of their own work that will be replaced by AI, but both believe that the more replacement there is, the higher the unemployment rate will be. Subsequent reporting said that the two groups largely agree in their judgments of AI's current capabilities, with the divergence concentrated on the pace of technological progress and the scope of corporate adoption in the coming years; 95% of Anthropic employees still believe the company's total headcount will increase over the next 12 months, with a median expected growth of 66%. The survey has now been publicly released, with no further developments.

Anthropic uses gzip to reduce Claude Code latency

Anthropic improved the latency performance of Claude Code. According to an Analytics India Magazine report on October 19, 2026, Anthropic said on X that Claude Code now compresses with gzip before sending each conversation turn, so content reaches the model faster; cloud sessions also start as soon as the user begins typing. The report said that compared with August, local sessions are 3 times faster and cloud sessions 2.8 times faster, and the API, chat and Cowork platforms are 1.5 times faster. The report also explained that these figures are measured by p90 first-token latency and exclude model processing time; the Claude API figures use p50 first-token time including model processing time. Anthropic has publicly described this improvement, and there are no further developments so far.

Anthropic publishes "The AI Expectations Gap" survey

On October 16, 2026, Anthropic published the "The AI Expectations Gap" survey, comparing the expectations of U.S. adults and Anthropic employees regarding AI. The study is based on a survey conducted in August 2026. Official evidence shows that 91% of Anthropic employees believe AI will be able to make Nobel Prize-level discoveries by 2030, compared with 39% of U.S. adults; employees expect on average that AI will be able to complete 75% of their current work by 2030, compared with 28% for employed Americans. According to the study's economic model, the median U.S. adult's responses correspond to 5.4% GDP growth in 2030, while the median employee's correspond to 17.1%. The two groups differ markedly on the share of their own work that will be replaced by AI, but both believe that the more replacement there is, the higher the unemployment rate will be. Subsequent reporting said that the two groups largely agree in their judgments of AI's current capabilities, with the divergence concentrated on the pace of technological progress and the scope of corporate adoption in the coming years; 95% of Anthropic employees still believe the company's total headcount will increase over the next 12 months, with a median expected growth of 66%. The survey has now been publicly released, with no further developments.

View story:Anthropic publishes "The AI Expectations Gap" survey

Anthropic uses gzip to reduce Claude Code latency

Anthropic improved the latency performance of Claude Code. According to an Analytics India Magazine report on October 19, 2026, Anthropic said on X that Claude Code now compresses with gzip before sending each conversation turn, so content reaches the model faster; cloud sessions also start as soon as the user begins typing. The report said that compared with August, local sessions are 3 times faster and cloud sessions 2.8 times faster, and the API, chat and Cowork platforms are 1.5 times faster. The report also explained that these figures are measured by p90 first-token latency and exclude model processing time; the Claude API figures use p50 first-token time including model processing time. Anthropic has publicly described this improvement, and there are no further developments so far.

View story:Anthropic uses gzip to reduce Claude Code latency

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