
Anthropic is just over 5 years old.
Anthropic is now worth about a trillion dollars, specifically $965 billion.
This is an excess of 2x markup in valuation from just over 3 months ago, where Anthropic was worth $380 billion.
Anthropic is now top-20 of the most valuable companies on earth. Anthropic has also filed to go public.
Anthropic is showing what it means that human intelligence appears to be largely deceased for a large part of the population.
Anthropic is serving enterprises. Revenue is shooting up, projected to be around $47 billion year-on-year up to May 2026.
Coding, writing, math and much more. While it does not appear that Anthropic is not causing mass layoffs, Anthropic Claude — its major AI model, is doing what human intelligence should be doing at a professional level.
Though Claude cannot do anything specifically that human intelligence can’t do, at least, at an impossible level [not timing or volume], Claude has encroached the sphere of human intelligence, with lethal claws.
Professional and early-career tasks that should be done by humans are now served by Claude. While machines can do grunt work, there is an erosion for human intelligence, at some valuable level.
Human Intelligence may sometimes do better, after encountering routines and finding new ways beyond it. So, the routine-induced creative channel that Claude has swept may also be some loss.
Claude is also competing with human intelligence, in a world where competition among humans is aggressively ferocious.
Because human intelligence is hidden away in the brain and there is no objective measure of it, everyone is subjected to the same tests or assessments, even for those that have better advantages at a type of intelligence more than others.
So, while it is easier for some to win or while some can better prepare, those who may not fit in or have it easy, often fall off, somehow.
Human intelligence is not like height, complexion or other physical features. It is hidden, unequal, hard to measure, hence easy to be used to gate out the crowd, with what may seem like transparent requirements, but are actually opaque.
Now, for those who do not even have enough, to easily know, or more time, or facilities, AI is now available to do what they cannot do, and labor economics will not respect that there are humans, if intelligence for productivity cannot be supplied by those humans, and the need for training — humans — seems counterintuitive, if AI can just apply.
Humans live in a world of intelligence. Simply, it is what intelligence can do — directly or indirectly, that decides what gets done. If intelligence is not capable or ripe, things cannot be done.
There is a use case of intelligence, such that when it conquers difficult things, it grows familiarity around those and the confidence to do more. Once there is a loss of that familiarity with toughness, even what should require a little patience or more attempts to learn and master, would be outsourced to AI, weakening the relays of human intelligence.
There is still no definition of human intelligence in neuroscience. There is no mechanism of human intelligence in the brain, known to neuroscience. There is no direct effort to study human intelligence properly, by any University, pharmaceutical company, startup, government or whatever.
Human intelligence, yes, has its limitations.
There are lots of aid to human intelligence that are necessary.
However, abandoning efforts to improve it, markedly because of some agentic or machine assistants, is a loss to the future of humanity, in proportions that cannot be yet measured, understood or acknowledged.
People who are against Anthropic, OpenAI, or Google or others are not necessarily on the side of human intelligence.
Human intelligence may have already failed, given the lack of life support, aided by Anthropic, others like Anthropic, their supporters and haters.
There is a recent [May 31, 2026] analysis on Data Centre Dynamics, Anthropic raises $65bn, overtakes OpenAI to $965bn valuation, stating that, “Generative AI business Anthropic has raised $65 billion in Series H funding led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital.”
“The round values Anthropic at $965 billion post-money, above OpenAI’s $852bn valuation in March. This is the first time that the company has been worth more than its rival.”
“The new round was co-led by Capital Group, Coatue, D1 Capital Partners, GIC, Iconiq, and XN. Investors include AMP PBC, Baillie Gifford, Blackstone, Brookfield, D.E. Shaw Ventures, DST Global, Fidelity Management & Research Company, General Catalyst, Insight Partnerships, Jane Street, Lightspeed Venture Partners, MGX, NTTVC, NX1 Capital, Situational Awareness LP, T. Rowe Price Associates, Inc., T. Rowe Price Investment Management, Inc., and Temasek.”
“It also includes $15 billion of previously committed investments from hyperscalers, including $5bn from Amazon.”
“Strategic infrastructure partners Micron, Samsung, and SK Hynix also invested.”
“The company said that its run-rate revenue crossed $47 billion earlier this month, up from $9bn at the end of last year.”
There is a recent [June 1, 2026] report on AP, Young and unemployed? Remote work, not AI, may be the problem, study finds, stating that, “The rise of remote work since the pandemic has made businesses more reluctant to hire young, inexperienced workers and is the key driver of higher unemployment rates for recent college graduates, a study released Monday has found.”
“The study, by the Federal Reserve Bank of New York, compared occupations that can be done remotely — such as software development — with those that are done in person, such as nursing. The study finds that the unemployment rate among young college graduates in “remotable” jobs rose by about 1 percentage point from 2017-2019 to 2022-2024.”
“Yet for older workers in those fields — those aged 29 and over — the jobless rate declined slightly, leading to a notably higher unemployment rate for younger college graduates in remotable occupations compared with older workers.”
“Yet in non-remotable jobs, there has been little gap in the unemployment rates between older and younger college grads, the study finds. A similar pattern exists for those without college degrees, the New York Fed said.”
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