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Tech executives call for immediate slowdown in AI development

Mão de robô e humana, IA, inteligência artificial
Mão de robô e humana, IA, inteligência artificial - Summit Art Creations/shutterstock.com

The chief executive officers of Anthropic, OpenAI, and Google DeepMind urged an immediate reduction in the pace of artificial intelligence systems on 14 September 2026 to prevent catastrophic security risks across digital infrastructure. Anthropic executive Dario Amodei published a manifesto calling on technology companies to pause model scaling before automated software escapes human supervision.

Elon Musk supported the warning.

Amodei warned that unconstrained autonomous agents could overpower online safeguards between 6 and 12 months from now if technical safeguards remain optional. In his public statement, Amodei explained that “given the acceleration of the development of AI capabilities, I worry that, in 6 to 12 months, such a swarm may be able to dominate the entire internet.” He stressed that development must proceed with extreme caution if it continues at all.

OpenAI chief executive Sam Altman agreed with Amodei on the necessity of pacing frontier systems and announced plans to introduce third-party evaluations. “Agree with Dario that we need to pace the frontier, and committing to having independent evaluators with employee-level access is a great idea,” Altman said.

Multi-company negotiations on third-party security audits

Leaders from Anthropic, OpenAI, and Google held private discussions to establish an independent oversight body tasked with setting binding computational thresholds. Demis Hassabis, the head of Google DeepMind, also endorsed the safety framework alongside his American counterparts. Independent observers note that recent reports of automated attacks have intensified scrutiny on commercial deployments. At the same time, a former OpenAI researcher who recently resigned from Anthropic publicly accused both institutions of playing with human lives.

PUC-SP professor Diogo Cortiz said models now handle complex operations with expanding autonomy.

Cortiz questioned whether the calls for deceleration represent genuine security concerns or an industrial strategy designed to entrench incumbents against newer market rivals. He stated that the public stance serves to reinforce the belief that generative automation is inevitable while casting current corporate leaders as benevolent guardians. Several underlying financial and infrastructural bottlenecks simultaneously restrict corporate expansion across the American computing sector.

Economic pressures and computational bottlenecks behind the pause

Cortiz outlined several structural constraints influencing corporate strategy in the United States. These commercial pressures include slowing capital returns and escalating logistical obstacles.

  • American data centers face severe energy deficits that prevent facilities from matching promised operational capacity.
  • Financial returns on enterprise infrastructure are declining, leaving investors reluctant to fund additional compute clusters.
  • Chinese generative models provide comparable performance at lower commercial prices, capturing market share across international markets.
  • Aggressive regulatory barriers protect existing market dominators by creating insurmountable compliance costs for smaller startups.

Cortiz argued that regulatory hurdles directly benefit well-capitalized firms by locking out smaller developers who lack capital to satisfy external auditing procedures. Because Chinese models are expanding globally at lower price points, Western firms face intense competitive friction. This economic reality forces corporate leadership to reconsider the pace of capital deployment across large-scale data facilities.

International geopolitical friction over chip export bans

In his published manifesto, Amodei recommended that democratic governments implement strict export restrictions prohibiting the transfer of high-performance semiconductor components and advanced silicon manufacturing equipment to China so that allied nations can maintain strategic dominance until multilateral diplomatic accords become possible.

Chinese Minister of State Security Chen Yixin published an official statement on 13 September 2026 accusing foreign powers of utilizing generative software to generate political rumors and disrupt civic stability. Chen wrote that hostile organizations abuse automated programs to attack national sovereignty and create social unrest within Chinese territory.

Political pushback and global regulatory stances

United States President Donald Trump rejected proposals to restrict artificial intelligence during an address at Joint Base Andrews in Maryland. Trump argued that any pause would surrender the technological advantage to international adversaries in Beijing. “We are leading China in AI, and I want to keep it that way because whoever wins in AI wins everything,” Trump said.

Trump described regulatory proponents as negative influences seeking to derail American computational dominance through unnecessary operational guardrails. The American president insisted that sustaining uninterrupted research remains essential for military and economic supremacy.

European Commission spokesperson Thomas Regnier stated on 14 September 2026 that the European Union supports technological innovation provided that commercial developers prove their models meet mandatory public safety standards. In the United Kingdom, Prime Minister Andy Burnham welcomed corporate discussions regarding algorithmic risks. Burnham’s official spokesperson confirmed that the British government supports international dialogue concerning potential threats to humanity. British policymakers maintain that all forthcoming regulatory decisions must rely exclusively on verifiable technical evidence.

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