Anthropic reported $16.8 billion in third-quarter revenue, up 45% quarter-over-quarter, and achieved profitability for the first time on an adjusted basis. Revenue rose from $4.7 billion in the first quarter to $11.6 billion in the second quarter. The company plans to launch an IPO after the U.S. midterm elections in November, with a target valuation of $2 trillion, while committing to invest at least $5.18 trillion in cloud and infrastructure over the next 10 years.
Anthropic co-founder Jack Clark said at the IMF annual meeting that this year they have obtained conclusive evidence that the singularity has already begun. The blogger pointed out that Anthropic, on one hand, has cut the proportion of entry-level tech hiring from 27% to 9%, and on the other hand, has used company equity to set up a fund to address future unemployment shocks, indicating that it is reallocating capital and positions on the premise that the singularity has already arrived.
Anthropic announced the establishment of a philanthropic fund, to which it will contribute 5% of the company's shares. The fund is a wholly owned entity of the company and includes an option to add 2% more shares each time the company's valuation grows by 50%. The company's stated ideas for how the funds will be used include large donations to traditional nonprofit organizations or direct distributions to specific groups of people. It had previously committed $200 million to research AI's impact on the job market. Anthropic said it will disclose information about the fund's structure and governance in the coming months.
Anthropic announced the establishment of a philanthropic fund, to which it will contribute 5% of the company's shares. The fund is a wholly owned entity of the company and includes an option to add 2% more shares each time the company's valuation grows by 50%. The company's stated ideas for how the funds will be used include large donations to traditional nonprofit organizations or direct distributions to specific groups of people. It had previously committed $200 million to research AI's impact
The Anthropic Institute released "The AI Expectations Gap" on October 16, 2026. The survey shows that Anthropic employees on average expect that by 2030 AI will be able to complete tasks corresponding to 75% of their current working hours, while the average expectation among employed Americans is only 28%. The two groups broadly agree in their judgments of AI's current capabilities; the divergence is concentrated in the pace of technological progress and the scope of enterprise adoption in the coming years. For example, 90% of employees expect that by 2027 AI will be capable of designing and publishing research tasks, while only 38% of the public expects so. Despite expecting a high degree of task automation, 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 Anthropic Institute released "The AI Expectations Gap" on October 16, 2026. The survey shows that Anthropic employees on average expect that by 2030 AI will be able to complete tasks corresponding to 75% of their current working hours, while the average expectation among employed Americans is only 28%. The two groups broadly agree in their judgments of AI's current capabilities; the divergence is concentrated in the pace of technological progress and the scope of enterprise adoption in the c
In a 30-minute workshop, an Anthropic engineer demonstrated an advanced use of Claude Code: running more than 100 agents simultaneously within one integrated loop, with 1 main agent in charge, while sub-agents act as project managers to break down tasks, distribute them, and cross-validate results. Based on this, the author suggests developers first use the main window to write task decomposition and acceptance rules, then spawn sub-agents to execute submodules concurrently. The author also warns that when a hundred agents run simultaneously, if termination conditions and permission boundaries are not hard-coded, it is easy to burn a large amount of tokens in an infinite loop, and beginners should start small with one main agent and three sub-agents.
In a 30-minute workshop, an Anthropic engineer demonstrated an advanced use of Claude Code: running more than 100 agents simultaneously within one integrated loop, with 1 main agent in charge, while sub-agents act as project managers to break down tasks, distribute them, and cross-validate results. Based on this, the author suggests developers first use the main window to write task decomposition and acceptance rules, then spawn sub-agents to execute submodules concurrently. The author also warn
As Anthropic tripled in size, the share of junior employees in technical roles fell from 21% to 14%. About one-third of ML managers and one-fifth of SWE managers said AI led them to reduce hiring; during the same period, the work hours logged by its agents reached 6 times the number of human work hours.
A new Anthropic research report shows that its employees expect AI to complete 75% of their current work by 2030, while US workers gave a figure of 28%. The expectation gap widens with task difficulty: 91% of employees believe AI will be able to make Nobel Prize-level discoveries by 2030, compared with 39% of the public.
The Guardian interprets a report released this week by Anthropic's offensive research team: the team says it has built a malicious AI program that can spread autonomously among internet-connected smart TVs, splitting itself across 15 TVs and borrowing a little computing power from each to keep running. The researchers believe a successful AI worm would need stronger capabilities on lower-powered devices, but that current trends make this potentially feasible by the end of the year; the worm in an earlier University of Toronto paper instead infected a full-sized computer and could spread faster. Security experts disagree: some stress that IoT devices such as smart TVs are slow to receive patch updates and their risks are hard to fix, while others argue the experiment moves slowly and its actions are predictable and interceptable, making it stunt hacking.
The Guardian interprets a report released this week by Anthropic's offensive research team: the team says it has built a malicious AI program that can spread autonomously among internet-connected smart TVs, splitting itself across 15 TVs and borrowing a little computing power from each to keep running. The researchers believe a successful AI worm would need stronger capabilities on lower-powered devices, but that current trends make this potentially feasible by the end of the year; the worm in a
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 has shown in experiments that stronger models can negotiate better deals, which could widen social inequality. Anthropic is also hiring 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, with pay of $100,000 to $167,000.
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 has shown in experiments that stronger models can negotiate better deals, which could widen social inequality. Anthropic is also hiring Conceptual Reasoning Fellows with legal backgrounds to spend four months testing Claude on judgment-intensive questions in law, philosophy, cognitive sc
Anthropic co-founder Jack Clark said the company's internal models predict that, under certain conditions, AI could boost US economic output by nearly 50% by 2030, with potential US GDP reaching $44 trillion. He also warned that growing evidence points to a "technological singularity," that AI development will outpace human control, and that the window to build safety safeguards is only "a few short years."
