In light of the remarkable acceleration in the development of artificial intelligence technologies, the controversy is no longer limited to the limits of innovation, but has extended to include issues of economic dominance, regulating markets, and controlling international competition, which has encouraged some Western companies to warn against what they call “repeated self-improvement of artificial intelligence,” and to demand international coordination that sets regulatory rules governing this path.
But these calls – which show concern for the future of humanity – can be interpreted differently. While some see it as a necessity to control technical risks, others see it as a tool to impose strategic restrictions that limit the rise of new competitors.
Read also
list of 2 itemsend of list
Chinese media discourse reflects this critical trend, portraying these moves as an extension of restrictive policies aimed at slowing China’s progress toward possessing advanced technologies and achieving greater self-sufficiency.
The narrative of technical anxiety
The Chinese newspaper Huanqiu published an analytical article by a researcher at the Science and Technology Strategy Forum about calling on technology giants to “restrain” the development of artificial intelligence for fear of overpowering humans.
In his speech, Chen Jing singled out Anthropic, which showcased the advanced capabilities of its models, before beginning to warn of the dangers of “self-improvement” of artificial intelligence, calling for slowing down development and perhaps suspending it temporarily.
However, as the writer believes, this proposal is not based on a tangible technical reality as much as it is based on hypothetical scenarios, as the current models, from an academic point of view, still operate within a limited statistical framework, and rely on humans to set goals and make critical decisions, despite their superiority in repetitive tasks.
He considered that Anthropic’s warning was nothing more than a “well-crafted marketing campaign” aimed at imposing a technical blockade on technology sector companies in backward countries and depriving them of their right to develop, given that the technical sector still lacks a clear road map to achieve this.
From warning to controlling competition
This discrepancy between discourse and reality opens the door to another interpretation. Researcher Chen Jing believes that exaggerating the risks of artificial intelligence may turn into a tool to reshape the rules of global competition. The call for international coordination and strict regulation may lead to the imposition of technical standards and ceilings that benefit advanced players, while restricting the opportunities of emerging countries and companies.
Chen compares this approach to the West’s previous regulation of “carbon emissions quotas.” He says, “After developed countries completed the industrialization cycle and exceeded the peak of their direct carbon emissions, they began setting global limits on emissions and allocating quotas in the name of global climate security.”
On the other hand, Chinese moves reflect a different approach based on accelerating the building of internal capabilities. The South China Morning Post reported that a coalition of technology companies has launched an investment fund directed at supporting “deep technologies” through what is known as “patient capital,” that is, long-term financing.
The report indicates that this type of funding focuses on supporting long-term research in areas including electronic chips and semiconductors, in an attempt to reduce dependence on abroad and confront American technological limitations. This also coincides with the redirection of government investments towards more advanced stages of industrial development.
Performance gap and security risks
Despite this trend, there are still technical gaps that push some developers to search for external solutions. In another report by the South China Morning Post, the Chinese Ministry of Security warned of the dangers of using intermediary services that provide access to foreign models by linking local developers with artificial intelligence providers, which poses major risks to data security.
According to the warning, operating the platforms “without adequate qualifications and weak security controls increases the risk of leaking personal data and illicit trafficking,” or even including “back doors” that threaten the security of users, which poses a dilemma represented by the relative superiority of some foreign models, and the sovereign risks associated with their use.
Aside from technical and security considerations, the movement of financial markets reveals a deeper dimension to the phenomenon of artificial intelligence, which is represented in pricing and risk behavior.
Nigel Green, CEO of De Vere Group, points out in an analysis published by the Asia Times website, that markets have become accustomed to companies related to artificial intelligence achieving successive positive surprises, to the point that any slight deviation from these expectations has begun to generate exaggerated price reactions on a global level, which is considered an unhealthy signal of pricing efficiency.
This behavior reflects a state of excessive optimism, or what can be described as “saturated confidence,” as accustomed to rapid growth has raised expectations to levels that are difficult to achieve sustainably.
However, the long-term fundamentals remain strong, as governments and companies continue to make significant investments in AI infrastructure, while demand for computing capabilities accelerates, supporting the intrinsic value of this sector in the long term.
Liquidity pressure and inflated expectations
In the context of explaining the sharp fluctuations in technology stocks, an analysis published by the “NetEase” website proposes a framework based on the role of “investment narratives” in fueling emerging markets, where every rising wave needs a dominant economic story that justifies high valuations. The Internet has embodied the communication revolution, smartphones have represented the mobility economy, while new energy has reshaped the structure of the energy sector, and artificial intelligence today comes as an engine for a radical transformation in productivity.
However, the main problem does not lie in the strength of the sector itself, but rather in the widening gap between the high market valuations of assets and the speed of realizing cash flows and actual returns.
From an asset management perspective, the fundamental question remains about the ability of the technology sector, after the current wave of gains, to continue to provide a risk-return equation commensurate with valuation levels, or whether the markets are facing a repricing phase that reflects a more conservative reality.
Who drives the beat?
Considerations of technical development overlap with market calculations and tools of influence. The call to “restrain” artificial intelligence may not be merely a response to future risks, as much as it reflects a competition over who sets the rules and determines the path of development.
On the other hand, the risks do not appear to be limited to scenarios of technical failure, but rather extend to the possibilities of inflated financial expectations, monopoly of knowledge, and redistribution of centers of power.
The picture is not just a simple struggle between innovation and risk, but rather an intersection between narratives of fear that may be used to redraw the rules of competition, long-term investment strategies to confront restrictions, and financial markets that may have preceded reality in pricing the future.
