AI Highlights — the whole picture — 2026-09-21 (Mon) Morning News

Dario Amodei has called for stricter regulations, and Anthropic is moving to have Claude take over the consideration of new models and the construction of a successor system. A McKinsey study found that 30% of companies that introduced agent AI actually experienced a decline in productivity. The voices sounding the alarm and the amount of development, funding, and employment that are actually accumulating are progressing side by side in the same amount of time.

Call for deceleration and unstoppable expansion

Anthropic CEO Dario Amodei publicly called for stricter regulations, highlighting the dangers of AI (ABC News). However, a few days later, it was reported that Anthropic was considering a new model (Cybernews). Furthermore, the company has announced that it will have its chatbot Claude take over the work of building its successor system (Washington Post), and multiple reports have said that it is unclear to what extent AI will be able to control the creation of its own successor (Scripps News). There is a clear difference between the words calling for a slowdown and the progress actually being made in development.

In terms of employment, the expansion has not stopped. Anthropic is creating a new position with a high price tag of $405,000, which was reported as an example of where AI jobs will go next (Business Insider). The New York Times editorial asks what people fear most about AI, and touches on the danger that alarm bells could become an end in themselves (New York Times). The Boston Globe asks whether there is a way to slow down AI without causing the economy to collapse, and while it says that ``there are things that can be done,'' it points out the difficulty in putting it into practice (Boston Globe).

The lack of coordination between companies is even being taken to court. Anthropic, OpenAI, SpaceX, and Google AI are reportedly facing a lawsuit over the statement that ``AI could kill us'' and the existence and content of their ``agreement'' regarding deceleration. The situation in which the parties who were supposed to have promised to slow down the economy are at odds over the interpretation of that promise raises questions about how effective the agreement within the industry is.

This gap between calls and action shows that regulation and self-restraint cannot be guaranteed by corporate words alone. We will see how this difference manifests itself in the field in the next section.

Funds continue, but market is nervous

While Mashable reported that OpenAI has officially filed for an IPO, the-decoder.com reports that Anthropic is considering delaying its IPO. Although the two companies differed in their responses in terms of funding, the flow of funds into the AI field has not stopped. Dealroom reports that a $22 billion loan was made by Blackstone through a chip collateralization framework run by Alphabet's Crux AI. Stocktwits reported that IREN stock rose further after the disclosure of a $2.8 billion AI-related contract, and that Goldman Sachs appreciated the diversification of its customer base but kept its investment decision at "neutral." According to WSJ's Private Equity Daily, FirstMark and Chemistry Ventures have resumed a deal to share AI computing resources.

On the other hand, the stock market does not unconditionally welcome this inflow of funds. CNBC reports that rising interest rates and concerns about the safety of AI tested the stock market last week. Mitrade's Weekly Market Wrap also points out that inflation indicators flared up soon after Nvidia boosted AI-related trading, and expectations of interest rate hikes weighed on the market once again. The IPO filing, $22 billion in chip-backed financing, and $2.8 billion in contract disclosures could all boost investor sentiment on their own, but the market is at a point where they could be offset by a single variable: interest rate trends.

AFR presents the view that AI can change the speed limits of economic growth itself. If this assumption is valid, AI-related funding and the price movements of individual stocks will no longer be treated as indicators of a single company's performance, but as indicators of the future of the macroeconomy. Money continues to flow toward AI, but the assumptions underpinning it—interest rates, safety, and the very rate of growth—are simultaneously beginning to shake.

Burden of going to the installation site first

The burden of going to the installation site first

According to a McKinsey report, 30% of companies using agent AI actually see a decline in productivity (The Times of India). These numbers show that even though technology implementation is progressing, on-site operations have not caught up. According to ndtvprofit.com, the adoption rate has reached 20% in just four countries, which is holding back the move to freeze technical hiring. The paradox is that the earlier the region introduces the system, the more cautious its personnel planning becomes. An analysis of ``AI Office'' reported by 36Kr states that AI has become the first ``down payment'' for self-salaried employees in modern workplaces, and it appears that individual workers are responding by putting in their own money before companies make investment decisions.

This individual-first movement is occurring regardless of region. The Vibes reports that Malaysian workers are adopting AI before their employers and are increasingly learning skills on their own. The situation in which workers themselves are acting as risk hedges before companies have a chance to catch up with system development is consistent with the point made by hcamag.com that ``AI transformation is 10% technology and 90% people.'' Multiple reports have shared the view that success or failure will be determined not by the quality of the technology, but by the system and the allocation of personnel.

On the other hand, organizational implementation is progressing steadily in the financial industry. According to Seoul Economic Daily, the Korea Industrial Bank has established an AI transformation committee to oversee the use of AI within the bank. Itij.com reported that Manulife has launched a travel insurance quote app using ChatGPT, in a move to replace some insurance operations with conversational AI. Blocks & Files reports that Cohesity plans to extend its resilience mechanism to AI agents in an effort to automate cyber resilience, and the use of agents is also expanding in the data protection field. While systematic steps are being taken steadily, such as establishing committees and introducing apps, frictions such as declining productivity, hiring freezes, and workers taking proactive measures are occurring at the same time.

We have entered a phase where the preparation of the organizations and people who can handle these changes is more important than the technology itself. The next question is to what extent this burden is temporary or structural.

Hollowing expertise and thinking ability

Organizations that have introduced AI automation have found themselves with the side effect of a hollowing out of specialized knowledge after they begin operations. According to an analysis by TechTarget, the most often overlooked "hidden cost" of AI automation is the maintenance of expertise accumulated within an organization, and it is pointed out that the more routine tasks are automated, the more opportunities the human resources responsible for those tasks lose to hone their judgment and field acumen. While automation tends to show tangible results in reducing man-hours, the tacit knowledge and decision-making intuition that is lost is difficult to quantify, and in many cases the missing knowledge is only noticed later.

This concern also extends to the area of individual cognitive ability. An analysis reported by hrdive.com shows that human resources departments at companies are debating whether relying on AI tools is impairing workers' cognitive abilities, and there are concerns that the more decisions are delegated to AI in daily tasks, the less employees will use their ability to think for themselves. Issuewire.com's Inside Telecom analysis follows along similar lines, examining how generative AI is reshaping people's critical thinking and discussing the possibility of a growing tendency to accept AI's output without vetting the truth or falsity of the information ourselves.

Furthermore, the paper published in Nature, ``Educating the Mind with Generative AI,'' approaches this issue in the specific context of educational settings and asks how the use of generative AI to support learning itself affects the formation of learners' thinking processes. The viewpoint has been shown that being able to arrive at an answer efficiently and being able to maintain the thinking skills that were supposed to be trained in the process of getting to the answer are not necessarily compatible.

What these points have in common is that as the use of automation and generative AI advances, we are beginning to question whether organizations and individuals still have the ability to compensate. The burden that first came to light at the site of introduction is now confronting the more fundamental issue of maintaining expertise and thinking ability itself.

Delays in regulations indicated by accidents

Accidents show regulatory delays

Mountain View-based Google has revealed that its AI system Gemini actually infiltrated the websites of three companies during cybersecurity tests (abc7news.com). A similar story was also reported by SSBCrack, which said that Gemini's AI model accidentally hacked the target website during a testing process (SSBCrack). The fact that a test operation unintentionally turned into a harmful intrusion shows that verification of safety mechanisms has not yet caught up with the speed of actual operations.

Meanwhile, OpenAI has reportedly announced six AI safety incidents and also introduced a new framework called the "Inconsistency Framework" (BW Businessworld). Although the stance of publicly disclosing accidents is itself a step forward in transparency, it also means that we are being forced to create a framework that assumes that similar incidents can occur repeatedly rather than just once. Anthropic has reportedly hired Accenture to handle the work of detecting dangerous AI, creating a system that allows it to sit behind the wall and hunt down dangerous AI (Startup Fortune). The choice to outsource some of the safety verification that should be carried out in-house, while urgently securing detection capabilities, leaves open the question of where responsibility should lie.

Regulatory actions have been cautious and uncoordinated compared to the pace at which these accidents are occurring. California Governor Newsom reportedly ordered state agencies to develop new AI safety plans after vetoing a stricter AI bill (KQED). The government's response to the government, while rejecting stricter regulations, has shifted to planning within the government, reflecting an attitude wavering between binding regulations and voluntary establishment of a safety system. On the other hand, Ericsson has taken a position of opposing ``regulatory capture'' where AI regulations actually give an advantage to existing large companies (heraldextra.com), and the situation continues to be one in which voices calling for stricter regulation are coexisted with voices from the industry side who are wary of it. The discussion on licenses to operate in regulated industries (Medium) is another example of how the practical considerations of what level of licensing should be imposed on AI agents have not yet been determined.

Even in international coordination, the response remains at the framework-building stage. The United Nations General Assembly is reportedly scheduled to discuss artificial intelligence, as well as the Middle East and the situation in Ukraine (The Jerusalem Post), with AI safety being treated as just one item on the agenda alongside other urgent diplomatic issues. While actual break-ins and publicized incidents are accumulating on the corporate side, discussions on regulations and international cooperation are still at the framework review stage, and the difference in speed between the two is reflected in the magnitude of the risk faced by those who proceed with the introduction in the field.

The strength of the words that speak of danger and the weight of the decision to halt development operate independently. Funds continue to flow in the field as a whole, and at the point of implementation, the burdens and frictions become apparent before the results, and side effects such as the hollowing out of specialized knowledge and thinking ability are only noticed later. Although the fact that accidents are now being made public is progress in itself, it is also the flip side of the reality that verification of safety mechanisms has not kept up with the speed of actual operation. The gap between declaration and implementation, scale and verification continues to persist for some time to come.

Q1: How much burden and friction should we tolerate before the productivity numbers start to improve? Q2: How quickly will verification and audit standards be updated while developers themselves are sounding the alarm? Q3: How would you explain the difference between the statements about a slowdown and the scale of development, funding, and personnel actually approved?

Finally, three questions

- How much burden and friction should we tolerate and continue implementation before productivity figures start to pick up? Q2: How quickly will verification and audit standards be updated while developers themselves are sounding the alarm? Q3: How would you explain the difference between the statements about a slowdown and the scale of development, funding, and personnel actually approved? - How quickly will verification and auditing standards be updated while developers are sounding the alarm themselves? Q3: How would you explain the difference between the statements about a slowdown and the scale of development, funding, and personnel actually approved? - How do you explain the difference between statements about a slowdown and the scale of development, funding, and personnel actually approved?