Has Artificial Intelligence Become the Greatest Paradox of Modern Capitalism?
14.10.2026The Financial Times raises a question that could shape the next decade: How can a company developing one of humanity’s most powerful technologies simultaneously warn that the same technology could threaten humanity’s future?
StandardPrva | Technology, Economics and Business Philosophy
In the weekend edition of the respected British newspaper Financial Times, published on 3–4 October 2026, Richard Waters published an intriguing commentary entitled “Why does Anthropic’s IPO feel so weird?”
At first glance, this appears to be another story about a technology company preparing to enter the capital markets. Yet behind this topic lies a far more fundamental question: What happens to modern capitalism when its most ambitious players simultaneously promise enormous economic progress and warn of the possibility of a civilisational catastrophe?
A Company That Wants to Change the World but Fears the Consequences
Anthropic, an American company developing advanced artificial intelligence models, including the Claude system, belongs to a new generation of technology businesses whose market value rests on the expectation that artificial intelligence will fundamentally transform the way people work, create, manage capital and make decisions.
According to the Financial Times commentary, preparations for a possible Anthropic stock market listing raise a series of unusual questions. Unlike traditional technology companies, which generally present investors with a vision of growth, market dominance and increased productivity, Anthropic finds itself in an almost paradoxical position.
For years, its founders and executives have warned about the risks associated with developing advanced artificial intelligence, including the possibility that future systems could become so powerful that humans would no longer be able to control them fully.
At the same time, the company is seeking to raise capital and expand its business precisely because of the rapid development of that technology.
In other words, investors are being offered an opportunity to profit from a revolutionary innovation, while the very people creating that innovation acknowledge that its long-term consequences cannot be predicted with certainty.
When Market Value Depends on an Unknown Future
In traditional economics, a company's value is derived from relatively understandable factors: revenue, profit, assets, market share, business models and expected cash flows.
In the world of artificial intelligence, these categories take on an entirely different meaning.
Investors are committing enormous sums to companies whose future profitability depends on assumptions about technological capabilities that have not yet been fully realised.
This is not merely a matter of expecting new software to be faster or more efficient. It is the assumption that technology will transform the entire structure of work, the organisation of the economy and the economic value of human knowledge.
Richard Waters rightly highlights the unusual nature of a situation in which technology that could transform or even threaten existing business models simultaneously provides the foundation for exceptionally high market expectations.
This raises a straightforward question: If artificial intelligence is going to transform almost every business model, how reliably can we assess the value of the companies developing it today?
A Paradox Investors Must Not Ignore
One particularly interesting aspect of this story is the relationship between technological power and market competition.
If advanced artificial intelligence systems become widely available, their commercial value could decline as a result of competition, lower prices and increasingly accessible applications.
If, however, only a small number of companies retain control over the most powerful systems, questions arise concerning the concentration of economic power, market dominance and regulatory oversight.
Both scenarios carry significant consequences.
The first could reduce the profitability of technology companies, while the second could create an unprecedented concentration of economic and informational influence.
Investing in artificial intelligence is therefore not simply a matter of technological optimism. It requires an understanding of economics, law, competition, regulation and the long-term sustainability of business models.
What Does This Mean for Companies in Bosnia and Herzegovina?
At first glance, the discussion surrounding Anthropic's potential entry into the American capital markets may seem far removed from the day-to-day operations of businesses in Bosnia and Herzegovina.
Nevertheless, this very assumption could represent a serious business mistake.
Artificial intelligence is already affecting accounting, legal services, tax advisory, financial analytics, banking, document management and the organisation of business processes.
For small and medium-sized enterprises, the question is no longer whether to use artificial intelligence, but how to use it and how to ensure that its application increases productivity rather than creating new business and legal risks.
For businesses in our country, three questions are particularly important: how to improve efficiency without compromising quality, how to protect confidential data, and how to develop employees' skills in an environment where certain jobs are being rapidly automated.
Technological modernisation cannot be reduced to purchasing software. It requires a change in mindset, clearly defined responsibilities and appropriate governance frameworks.
Our Business Philosophy: Technology Must Serve Humanity
At StandardPrva Group, we believe that the true value of technological progress lies not merely in faster data processing, lower costs or the automation of repetitive tasks.
Its greatest value should be the release of human potential for more complex, creative and responsible work.
In the legal profession, technology can accelerate research, document organisation and data analysis. However, it cannot automatically replace professional responsibility, client trust or an understanding of individual circumstances.
In accounting, automation can improve document processing and financial reporting, but high-quality advisory services still require experience, sound judgement and an understanding of the client's business.
In investment, artificial intelligence can provide sophisticated analytical tools, but it cannot eliminate uncertainty or guarantee that a business decision will be correct.
Our approach is therefore simple: technology should be embraced, developed and applied, but never without understanding its purpose and the responsibilities that accompany its use.
The Future Belongs to Those Who Do More Than Follow Technology
The story highlighted by the Financial Times reminds us of an important fact: the greatest business opportunities often emerge during periods of profound uncertainty.
However, economic history shows that revolutionary technology and successful investment are not always the same thing.
The internet changed the world, but not every company that emerged during its development survived. Similar questions are now being asked about companies developing artificial intelligence.
For investors, entrepreneurs and executives, it is therefore more important than ever to distinguish genuine economic value from expectations, and sustainable long-term business models from temporary market enthusiasm.
The future will not necessarily belong to those who are first to embrace every new technology, but to those who best understand how to turn it into sustainable value for people, businesses and society.
This is a question being considered by the world's largest investors, but it is one that businesses in Bosnia and Herzegovina must address with equal seriousness.
Source and inspiration: Richard Waters, Why does Anthropic’s IPO feel so weird?, Financial Times, FT Weekend, 3–4 October 2026, page 9.
This text is an independent editorial reflection by StandardPrva Group on themes raised in the Financial Times commentary; it is not a translation of the original article.
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