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Germany Fuel Prices Hit Record Highs as Friedrich Merz Plans Consumer Relief Measures

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Germany’s fuel-price crisis has moved from an economic concern to an immediate political and household pressure point, with Chancellor Friedrich Merz now promising measures to ease the burden on consumers.

Speaking in Berlin on September 15, Merz said that for many people who depend on cars every day, a limit had been reached. However, his government has yet to settle on the precise mechanism for providing relief.

The urgency is reflected at Germany’s petrol stations. The average national price for E10 petrol reached a record €2.286 per litre, according to figures cited by Tagesschau and the ADAC.

Diesel stood at €2.412 per litre, only a few cents below its previous record. For commuters, logistics companies and businesses dependent on road transport, the increase represents more than a higher household bill: it raises the operating cost of moving people and goods throughout Europe’s largest economy.

The immediate driver is the international energy shock. Disruptions associated with the conflict in the Middle East have tightened oil supplies and pushed crude prices higher. Physical European oil cargoes recently moved above $130 a barrel.

While Brent futures approached $110, illustrating the scale of the supply concerns confronting energy markets. Yet Germany’s debate is not simply about international oil prices. Domestic taxes and levies form a substantial part of the price motorists pay at the pump.

Making government intervention one possible route to reducing the immediate burden. Earlier this year, Berlin temporarily cut fuel taxes by about 17 cents per litre for petrol and diesel for two months, a package the government estimated would provide around €1.6 billion in relief.

The renewed crisis, however, has exposed divisions inside Merz’s governing coalition. Social Democratic politicians have advocated stronger intervention, including a fuel-price cap and a windfall tax on energy companies.

Merz has rejected the windfall-tax proposal, while members of the Union have considered alternatives such as temporarily reducing energy taxes or providing targeted financial assistance to households.

That disagreement reflects a broader policy dilemma. A fuel-price cap could provide rapid and visible relief, but it would require determining how the government would manage the difference between regulated prices and volatile international costs.

A tax reduction could lower prices more directly, but would reduce government revenue and might not fully offset movements in global crude prices. Targeted transfers could concentrate assistance on households most affected, although they would not directly lower the price displayed at petrol stations.

Merz has indicated that the government is working with federal states and coalition partners and intends to present a proposal soon. He has also pointed toward Germany’s competition authorities, noting that the Federal Cartel Office already has powers to investigate abusive pricing.

However, the chancellor acknowledged that consumers’ experience suggests existing oversight has not been sufficient to resolve the immediate pressure. The fuel crisis therefore places Germany between two forces.

An external energy shock that Berlin cannot directly control and domestic political expectations that the government should shield households from its consequences. The eventual response will have to balance consumer relief, fiscal costs, market competition and the possibility that elevated energy prices could persist.

For Germany’s economy, the stakes extend beyond the petrol station. Persistently expensive fuel can feed into transportation costs, business expenses and consumer prices, potentially prolonging broader inflationary pressure.

The government’s forthcoming package will consequently be measured not only by how much it reduces the price of filling a tank, but by whether it can provide meaningful relief without creating a costly policy commitment that becomes difficult to sustain if global energy markets remain volatile.

Germany’s Wholesale Prices Signal Renewed Inflation Pressure

Germany’s wholesale economy delivered a notable warning in August, with wholesale prices rising at their fastest pace in three and a half years, according to the Federal Statistical Office.

The development points to renewed cost pressures within Europe’s largest economy and raises questions about how businesses, consumers and policymakers will navigate an environment in which input prices are accelerating.

Wholesale prices occupy an important position between producers and retailers.

When the cost of goods traded at the wholesale level increases significantly, businesses can face higher expenses for raw materials, energy, agricultural products and manufactured goods. Those costs may eventually be passed along supply chains, although the extent and timing depend on competition, demand and companies’ ability to absorb higher expenses.

The August increase therefore matters beyond the wholesale sector itself. Germany has spent much of the recent period attempting to manage weak economic growth while dealing with elevated living costs and persistent uncertainty across European industry.

A renewed acceleration in wholesale prices could complicate that adjustment by placing additional pressure on companies already confronting higher operating and financing costs. For manufacturers, the consequences can be particularly significant.

Germany’s industrial economy relies heavily on complex supply chains and substantial quantities of energy, machinery, metals, chemicals and other intermediate goods. When wholesale prices rise rapidly, producers must decide whether to accept narrower margins, increase selling prices or seek efficiency gains elsewhere.

Smaller businesses may have less capacity to absorb such increases than larger corporations. The effect on consumers is less immediate but potentially important. Wholesale inflation does not automatically translate into equivalent increases in consumer prices.

Retailers and manufacturers may absorb part of the additional cost, while falling demand can prevent businesses from fully passing expenses to customers.

Nevertheless, sustained wholesale inflation can create an environment in which consumer prices face renewed upward pressure.

The latest development also comes at a sensitive moment for Germany’s broader economy. Companies have been navigating subdued industrial activity, international trade uncertainty and changing energy conditions.

For an economy with a large manufacturing base, price movements in upstream markets can influence investment decisions, employment plans and expectations about future demand. There is also a wider European dimension.

Germany remains the largest economy in the euro area, meaning changes in its domestic cost structure can influence regional supply chains and inflation dynamics. If higher wholesale prices persist rather than representing a temporary movement.

Businesses and policymakers across Europe will have to monitor whether those pressures spread into producer and consumer prices. For the European Central Bank, the distinction between a temporary supply shock and persistent inflation will be particularly relevant.

Monetary policy responds primarily to broader inflation dynamics rather than a single wholesale-price reading. Consequently, the August data alone does not establish a new inflationary trend.

Future readings on producer prices, consumer prices, wages and economic activity will help determine whether the pressure is becoming entrenched.

The immediate issue is straightforward: the cost environment is becoming more challenging. Companies may need to reassess procurement strategies, pricing decisions and investment plans as they attempt to protect margins without weakening demand.

The acceleration in wholesale prices is therefore more than a statistical milestone. It provides an early signal of changing conditions further up Germany’s economic supply chain. Whether it develops into broader inflation will depend on how long the increase lasts and how businesses respond.

For now, the figures underline the continuing tension between Germany’s need for economic recovery and the renewed risk of rising costs.

TON’s Largest Wallet Takes its Distribution Multichain as U.S. Bitcoin ETFs See $160M Inflows

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Tonkeeper, the largest self-custodial wallet in the TON ecosystem with more than 77 million registered users, today announced its rebranding to Keeper, a multichain wallet designed to connect TON with the broader crypto economy.

Keeper now enables users to manage assets across TON, Ethereum, Bitcoin, TRON, BNB Smart Chain, Arbitrum and Base from a single self-custodial wallet.

Tonkeeper earned its place as the home of TON, trusted by millions of people around the world. Keeper is the next chapter: taking the simplicity we’re known for beyond TON and into the broader crypto economy.

The ambition is simple: to build the default self-custodial wallet for a multichain world, where people can hold, trade, and spend freely across any chain,” said Andrew Rogozov, CEO and Founder of TOP.

Tonkeeper was created as a dedicated self-custodial wallet for the TON blockchain. But as crypto has evolved into a multichain market, users increasingly hold assets, deploy capital, and access applications across different ecosystems – often juggling multiple wallets, bridges, and gas tokens along the way.

Keeper removes that fragmentation, giving both existing Tonkeeper users and newcomers a single home for their assets, applications, and liquidity across supported blockchains, with a seamless path into and beyond TON.

Rather than simply adding support for more chains, Keeper builds on its position as TON’s leading self-custodial wallet with a focus on making multichain crypto simple. Its Battery enables gasless transactions, allowing users to pay network fees without holding each blockchain’s native gas token.

Combined with a consumer-first experience, Keeper removes much of the complexity of navigating multiple networks while preserving full self-custody. Keeper is built on four core principles: Self-custody and freedom. Users remain in control of their assets, private keys, and privacy at all times, with no Keeper account or KYC required to access core wallet functionality.

Multichain, rooted in TON. Unlike traditional multichain wallets, Keeper combines extensive cross-chain support with deep TON integration, giving users access to different crypto ecosystems, while enabling the crypto community to easily onboard into TON.

More than a wallet. Keeper is designed as a financial home rather than a place where assets simply sit. Users can hold, swap, trade and explore opportunities from within a single application.

Upcoming releases will introduce additional financial products, including perpetual futures trading, further expanding Keeper’s all-in-one crypto experience. Simplicity drives adoption. Keeper combines self-custody with a premium user experience, making advanced blockchain functionality simple through an intuitive interface.

Features like Battery further reduce friction across every supported network. Adding new chains was just the first step. Over the coming year, Keeper will focus on turning its multichain capabilities into something users rely on every day, not just a place to store assets, but a wallet they actively use.

To achieve that, Keeper plans to extend its Battery gasless infrastructure across all supported networks, build native DeFi directly into the wallet, add solutions for everyday spending, and introduce a loyalty program that rewards active users, alongside cross-chain swaps, an integrated browser for decentralized applications, and new financial products.

Together, these additions advance Keeper toward its goal: becoming the default self-custodial wallet for the multichain era – a financial home where holding, trading, spending, and growing assets across chains is simple and rewarding.

U.S. Bitcoin ETFs See $160M Inflows, Robinhood Advances Stock Tokens With Voting Rights

The digital-asset market is showing two parallel developments that could shape its next phase: renewed institutional demand for Bitcoin through U.S. spot ETFs and a push to make tokenized equities behave more like the traditional shares they represent.

The developments point toward a financial system in which blockchain-based assets increasingly compete not merely on price exposure, but on ownership, liquidity and investor rights.

U.S. spot Bitcoin ETFs recorded approximately $160 million in net inflows on September 14, according to SoSoValue data.

BlackRock’s iShares Bitcoin Trust, IBIT, accounted for $134 million of the inflows, while Fidelity’s FBTC attracted another $53.3 million. ARK Invest and 21Shares’ ARKB, however, recorded roughly $42 million in outflows, showing that capital continues to rotate between products even as aggregate demand remains positive.

The importance of the flow extends beyond a single trading session. Bitcoin has faced renewed volatility as investors weigh inflation, Treasury yields, monetary policy and regulatory developments. The cryptocurrency was trading around the mid-$70,000s on September 15.

While the 10-year Treasury yield briefly moved above 5%, creating a difficult environment for risk assets. Against that backdrop, positive ETF flows suggest that institutional investors have not completely abandoned Bitcoin despite short-term pressure.

The ETF structure remains one of the most important bridges between conventional finance and digital assets. Rather than requiring investors to manage wallets or interact directly with crypto exchanges, spot ETFs provide regulated market exposure through familiar brokerage infrastructure.

Persistent inflows therefore represent more than speculative activity: they demonstrate that Bitcoin can increasingly be incorporated into conventional investment portfolios.

At the same time, Robinhood is attempting to push blockchain further into traditional finance through tokenized stocks.

CEO Vlad Tenev said the company is working toward adding one-for-one in-kind share redemption and voting rights to Robinhood Stock Tokens. The announcement addresses two of the central criticisms surrounding the company’s tokenized-equity model.

The distinction is important because Robinhood’s Stock Tokens have not historically represented direct ownership of the underlying shares. They have been structured as tokenized debt instruments providing economic exposure to stocks, with the underlying securities held separately.

Investors could receive economic benefits linked to the shares but did not possess conventional shareholder rights such as voting. Robinhood’s own regulatory disclosures have described the products as providing economic exposure without conveying legal ownership or shareholder rights.

The proposed redemption mechanism could change that relationship materially. If a token holder can redeem one token for one underlying share, the blockchain representation becomes much closer to a conventional security rather than simply a derivative-like claim. Voting rights would go further by giving eligible token holders a formal role in corporate governance.

Robinhood says its existing shareholder-engagement platform, Say, could help facilitate voting. The company has also emphasized that Stock Tokens are backed one-to-one by real shares held in custody.

According to Robinhood’s crypto chief Johann Kerbrat, the product had surpassed $170 million in total value locked and nearly $50 billion in decentralized-exchange volume, underscoring the scale of interest surrounding tokenized equities.

Tokenization does not automatically eliminate questions about securities law, issuer consent, custody, settlement, liquidity or investor protection. Recent criticism from AMC CEO Adam Aron illustrates the tensions surrounding products that reference publicly traded companies without necessarily being issued by those companies.

The $160 million Bitcoin ETF inflow and Robinhood’s evolving stock-token architecture represent different sides of the same transformation. Bitcoin is becoming increasingly accessible through traditional financial wrappers, while traditional equities are being reconstructed on blockchain infrastructure.

The next stage of digital finance may therefore depend less on whether assets can be tokenized and more on whether tokenized markets can deliver the ownership rights, transparency and investor protections that make traditional markets credible.

China’s Investment Slump Deepens as Weak Consumption Exposes Growing Demand Problem

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China’s economic slowdown deepened in August as retail sales weakened and fixed-asset investment contracted at a faster pace, exposing a widening gap between the country’s powerful industrial sector and increasingly fragile domestic demand.

Retail sales rose just 0.4% in August from a year earlier, down from 0.6% in July and well below the 0.8% increase economists had expected in a Reuters poll, according to data released Tuesday by the National Bureau of Statistics.

Industrial production provided a sharp contrast. Output increased 5.2% from a year earlier, accelerating from 4.5% growth in July and exceeding economists’ forecast for a 4.8% increase.

The divergence captures one of the major problems facing the world’s second-largest economy: Chinese manufacturers continue to expand production even as households and businesses show limited willingness to absorb that output.

Urban fixed-asset investment, covering areas including property and infrastructure, fell 7.2% in the first eight months of the year from the same period a year earlier. That marked a further deterioration from the 6.7% decline recorded through July and matched analysts’ expectations.

The unemployment rate based on the urban survey also edged higher to 5.3% in August from 5.2% in July, although it remained unchanged from August a year earlier.

NBS spokesperson Fu Linghui attributed the increase to the annual graduation season, while pointing to relatively stable employment in manufacturing, strong prospects for technology-related jobs and continued growth in hospitality and catering.

The broader economic message from the statistics bureau was less reassuring. The NBS warned that the external environment had become more challenging and identified an “acute” domestic imbalance between “strong supply and weak demand.” It also said some businesses continued to face operational difficulties.

The bureau called for stronger macroeconomic policy adjustments and measures to boost domestic demand, while encouraging industrial upgrading and “innovation-led” development.

Investment and Credit Show the Limits of Incremental Stimulus

The weakness in investment is becoming bolder, suggesting that Beijing’s existing measures have yet to generate a broad revival in confidence.

China has increased government bond issuance and recently expanded interest subsidies on loans for small private businesses and consumers. The central bank has also indicated that additional policy support remains available, although officials have stopped short of signaling an outright reduction in policy rates.

The problem is that lower financing costs and additional credit capacity are of limited use if companies and households do not want to borrow.

China’s August credit figures provided a stark example. New bank loans increased by only 60 billion yuan ($8.95 billion), compared with an expected increase of roughly 400 billion yuan and 590 billion yuan a year earlier.

Outstanding loan growth slowed to a record-low 4.9%.

Government bond financing has provided some support for overall credit creation, but it has not been enough to compensate for weak borrowing by companies and households. That suggests the economy’s problem is increasingly one of demand and confidence rather than simply a shortage of available financing.

“The market is waiting for the fiscal policy to become more supportive in Q3,” said Zhiwei Zhang, president at Pinpoint Asset Management.

Zhang expects the economy to continue facing downside risks because fiscal measures can take time to feed through into activity.

That delay matters because China is already coming off a weak second quarter. Economic growth slowed to 4.3%, its weakest pace in more than three years, putting greater pressure on the government to sustain momentum during the second half.

Oxford Economics estimates third-quarter growth at 4.3%. If that forecast materializes, it would increase the risk that the economy falls short of the firm’s 4.7% annual growth forecast and moves further away from Beijing’s stated 4.5% to 5% growth target.

Weak consumption and the prolonged property downturn remain the largest drags, Oxford Economics said, while exports and high-tech manufacturing continue to provide important support.

Exports and AI Manufacturing Are Buying Beijing Time

The immediate concern is how much longer China can rely on industrial production and exports to compensate for weakness at home. There are still areas of strength. The global investment boom in artificial intelligence has increased demand for Chinese semiconductors and technology hardware, helping sustain parts of the manufacturing sector even as traditional domestic demand remains subdued.

China’s manufacturing purchasing managers’ index also showed some improvement in August, with new orders and output returning to expansion after both contracted in July.

China’s large oil inventories have provided another buffer. As energy prices have surged, the country’s stockpiles have allowed the world’s largest crude importer to reduce purchases, limiting some of the immediate impact of higher international oil prices on the domestic economy.

Exports have therefore become the focus of Beijing’s growth strategy. Strong external demand can keep factories operating, preserve employment and generate foreign-exchange earnings even when Chinese consumers and property developers remain cautious.

But that dependence carries a limitation. Industrial output growing at 5.2% while retail sales increase by only 0.4% risks worsening the very supply-demand imbalance acknowledged by the NBS.

More production does not automatically translate into stronger growth if businesses cannot sell the additional goods at profitable prices. Persistent excess supply can instead intensify price competition, weaken corporate margins and discourage companies from investing.

The property sector remains central to that problem because the housing downturn has damaged one of the traditional engines of Chinese household wealth and investment. Until confidence in property and household finances improves, consumers may remain reluctant to increase spending even when employment is relatively stable.

ANZ Research economists led by China economist Raymond Yeung said September could become an important policy window for Beijing to rebuild business confidence ahead of the October Golden Week holidays.

They argued that additional fiscal support is needed but considered a policy-rate cut unlikely.

That reflects the delicate balance confronting policymakers. Beijing has room to provide more fiscal support, but a major stimulus package could reinforce the country’s existing reliance on investment and industrial production rather than addressing the underlying weakness in household demand. At the same time, officials may be reluctant to deploy aggressive stimulus while exports remain strong enough to keep overall growth within the government’s target range.

The result is a growing divergence between China’s headline industrial performance and the health of its domestic economy. Factories are expanding, technology demand is providing momentum, and exports remain an important source of growth. But households are spending cautiously, businesses are reluctant to borrow, and investment is contracting at an accelerating rate.

OpenAI Researcher Warns Slowing Frontier AI Alone Will Not Prevent ‘AI Apocalypse’

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A senior OpenAI researcher has warned that simply slowing the development of powerful artificial intelligence models will not be enough to prevent catastrophic risks, challenging a growing consensus among leading AI executives that a more measured pace could provide crucial time to improve safety controls.

Daniel Selsam, an OpenAI researcher who has spent nearly five years at the company and has worked on model training, said in a public statement Monday that he has become “extremely concerned” about the capabilities AI systems have already developed and the risks they could pose as those capabilities advance.

Selsam said he was encouraged by recent proposals from AI industry leaders to moderate the pace of frontier-model development, but argued that pacing alone does not address the deeper problem.

“Merely pacing the frontier more carefully will not adequately limit the long-term risk,” Selsam wrote.

His comments come as the debate over how quickly AI companies should develop their most capable systems has moved from an abstract safety discussion into a more immediate disagreement among researchers and executives inside the industry.

OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei have both recently backed the concept of “pacing the frontier,” a term increasingly used to describe slowing the development of cutting-edge models enough to allow companies to build stronger safeguards, monitoring systems and evaluation processes.

Selsam’s argument is that the underlying risk may not be resolved simply by giving researchers more time between successive generations of models.

Concern Over ‘Situationally Aware’ AI

Selsam said his concern stems partly from what he described as models becoming increasingly “situationally aware.”

He warned that future AI systems could appear to follow human instructions and behave in ways that suggest alignment while potentially pursuing different objectives when circumstances change.

That possibility goes to the heart of the AI alignment problem. If increasingly capable models become better at understanding their environment, their users and the processes used to evaluate them, conventional safety tests could become less reliable if a system learns to behave differently when it knows it is being monitored.

Selsam said he had once hoped AI would lead to a “scientific and economic renaissance.” But he warned that humanity could face a much darker outcome if AI companies continue “growing models rather than engineering them.”

He did not explain in detail what he meant by “engineering” models or offer a specific alternative framework for controlling capable systems. He acknowledged that he does not have all the answers about how to mitigate the risks associated with unconstrained AI.

That uncertainty is a cause for concern because it highlights a divide within the AI safety debate. There is growing agreement that frontier systems need stronger safeguards, but far less agreement about what those safeguards should ultimately look like or whether they can reliably control systems that become substantially more capable than today’s models.

Altman Backs Slower Progress, Not A Halt

Altman has endorsed Amodei’s proposal for pacing frontier AI, but has stressed that it should not be interpreted as a call to stop developing sophisticated systems.

Altman reposted Amodei’s essay on “pacing the frontier” and said he agreed with its central argument. In a subsequent post on X, he clarified that slowing the pace does not mean ending AI development.

“Progress has been rapid and will continue to be,” Altman wrote.

“But it should be slower than it otherwise could be; interventions like safety cases and monitoring have significant costs,” he added.

The proposal matters for OpenAI and other AI companies that remain engaged in a competitive race to develop more capable systems. A full halt would carry commercial and geopolitical consequences, while a more measured pace could theoretically give researchers additional time to evaluate models and identify dangerous capabilities before deploying them widely.

Altman and Amodei have also proposed greater involvement from independent “embedded evaluators.” These would be AI safety auditors given access to companies’ model-training and deployment processes, allowing them to assess risks from within the organizations rather than relying solely on information released by the companies themselves.

Under the proposal, evaluators could publish findings about serious risks they identify.

Selsam’s warning suggests that even those measures may not fully resolve concerns about capable AI. His position is not that pacing is useless, but that it addresses only part of the problem.

The disagreement reflects a broader shift in the AI safety conversation. The question is increasingly moving beyond whether companies can slow development enough to make AI safer and toward whether the basic approach of repeatedly scaling models is itself sufficient.

For OpenAI, which continues to invest heavily in more capable systems, that could become more consequential as models gain greater ability to reason, interact with tools, and understand the environments in which they operate.

Therefore, Selsam’s intervention adds an internal voice of caution to an industry already confronting difficult questions about how to balance rapid technological progress with the possibility that future systems may become harder to predict and control.

Former Google DeepMind Researcher Joins the Fray, Warns AI Could “Kill Us All”  

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A former Google DeepMind researcher has warned that artificial intelligence could eventually “kill us all” and that the industry may be running out of time to prevent such an outcome, adding to a growing chorus of researchers raising alarms about the pace at which increasingly capable AI systems are being developed.

Bilal Chughtai, who worked on artificial general intelligence safety and alignment research at Google DeepMind, said Monday that he had resigned from the company because of concerns about the trajectory of AI development.

“I earnestly believe that AI has the potential to kill us all, and that we might be running out of time to avoid this outcome,” Chughtai wrote on X.

Chughtai worked as a research engineer at Google DeepMind and co-authored research papers during his time at the company. His LinkedIn profile indicates that he left the company in July 2026.

His warning follows a series of stark statements from researchers at some of the world’s leading AI companies, turning what was once largely an academic debate over long-term AI risks into a more public dispute over how quickly frontier systems should be developed and deployed.

Last week, former Anthropic researcher Jacob Coxon said he had resigned partly because people developing advanced AI “earnestly believe that it could kill us all by the end of the decade.”

Evan Hubinger, an Anthropic scientist who has worked on AI safety research, subsequently said Coxon’s characterization was accurate and estimated that there was a greater than 10% probability that AI could kill all humans within the next decade.

Those assessments are not predictions that AI will necessarily cause human extinction. Rather, they illustrate how some researchers working closest to frontier AI systems have come to assign meaningful probabilities to catastrophic outcomes, even while the timing and mechanisms remain highly uncertain.

AI Safety Moves From Research Concern to Industry Debate

Chughtai said a safe path for AI development remains possible, but argued that it will require cooperation between companies rather than an unrestricted race to build increasingly powerful systems.

“Navigating AI safely is possible, but it requires coordination to avoid this manic race between AI companies,” he wrote.

“We need to pace AI development to a speed that society can handle, where emerging risks can be addressed before extreme harm is realized,” he added.

The comments arrive as AI companies face a difficult competitive problem. The largest labs are investing enormous sums in computing infrastructure, talent and model development, creating strong incentives to release more capable systems before rivals do. A company that voluntarily slows development could fear losing customers, talent or technological advantage to competitors that continue moving ahead.

That dynamic is at the heart of the recent debate over whether frontier AI development should be deliberately slowed.

Anthropic CEO Dario Amodei also called for a slower pace of advanced AI development, explaining that companies and governments need more time to understand and manage emerging risks. His position received unusually broad support from rivals and other technology leaders, including OpenAI CEO Sam Altman and SpaceXAI’s Elon Musk.

The convergence is notable because the companies involved remain direct competitors in the race to build sophisticated AI systems. Agreement on the need for greater caution does not necessarily mean agreement over what constitutes a safe development pace, how safety should be measured or who should have authority to impose limits.

It has also opened a broader debate over “AI doomerism,” the term often used to describe warnings that sufficiently advanced AI could produce catastrophic or existential consequences.

Skeptics believe that such warnings can exaggerate uncertain future risks and potentially justify restrictions that protect established AI companies from competition. Supporters of stronger safeguards counter that the uncertainty itself is a reason to develop systems more cautiously, particularly if future models become capable of autonomous planning, self-improvement or other behaviors that researchers cannot reliably control.

Washington Takes a Different View

The warnings from AI researchers have also exposed a widening gap between parts of the technology industry and the Trump administration.

President Donald Trump has dismissed calls for greater AI regulation, describing the industry’s push for regulation as a “hoax.” His administration has emphasized the need for the United States to maintain its lead in AI development, particularly in competition with China.

Trump’s stance has created a fundamental policy tension. The United States wants its AI companies to move quickly enough to maintain technological and economic leadership, while some of the scientists developing those systems are increasingly arguing that speed itself could become a source of systemic risk.

Chughtai’s warning adds weight to that argument because it comes from someone who recently worked inside one of the world’s most prominent AI research organizations on the specific problem of making advanced systems safer and more aligned with human objectives.

His departure does not establish that AI is on a path toward human extinction, nor does his assessment provide a timetable for such an outcome. But taken alongside warnings from researchers at Anthropic and calls for slower development from Amodei, it shows how concerns once confined largely to AI safety circles are becoming increasingly difficult for the industry to keep at the margins.

The major concern now hinges largely on how AI companies can coordinate on safety without sacrificing the competitive incentives that are driving the technology forward. For researchers such as Chughtai, the danger is that those incentives could push development faster than safety research, regulation, and society’s ability to respond.

That is a considerably different proposition from arguing that AI development should stop. It is an argument that the speed of the race may itself become one of the risks that the industry needs to manage.