AI Stocks Plunge 3% as Nvidia, AMD Lead Sell-off

Key Takeaways

• Nvidia shares dropped 3 percent and AMD fell 5.7 percent after AI leaders called for slower development.
• Anthropic CEO Dario Amodei urged firms to slow model advancements to prevent misuse of AI technology.
• OpenAI CEO Sam Altman and Elon Musk agreed with concerns about the rapid pace of frontier AI development.
• SoftBank, a major OpenAI investor, saw its stock tumble 13.2 percent in Japan.
• AI infrastructure stocks had gained about 60 percent in 2026 before the recent market reassessment.
• Between September 7 and 13, AI startups raised $11 billion across 18 funding rounds.
• A French foundation model lab received $3.5 billion in a Series D+ funding round.
• The time for hackers to exploit security flaws has shrunk from 2.3 years to just 20 hours.
• Gartner projects AI protection spending will rise 68.7% to $4.783 billion next year.
• Google launched a pay-per-use AI licensing program allowing publishers to earn revenue from content usage.

AI stocks drop as leaders urge slower development

Global stocks for AI companies fell sharply on Monday after industry leaders called for slowing down rapid technological progress. Nvidia dropped 3 percent, Advanced Micro Devices fell 5.7 percent, and Elon Musk's SpaceX declined 2.6 percent. Major firms like Meta and Amazon.com also saw their shares drop by more than 1.4 percent each. This market reaction followed an essay by Anthropic CEO Dario Amodei who warned about the risks of advancing AI too quickly. Elon Musk and OpenAI CEO Sam Altman agreed with Amodei's concerns about safety and potential misuse of the technology.

Tech stocks fall after CEOs warn of AI risks

Shares of artificial intelligence companies declined across global markets on Monday following warnings from top executives about the dangers of fast-paced development. Nvidia fell 3 percent while Advanced Micro Devices dropped 5.7 percent, and Elon Musk's SpaceX slipped 2.6 percent. European tech stocks also fell 2.5 percent, led by a 5.8 percent drop in shares of chip equipment maker ASML. In Asia, OpenAI investor SoftBank tumbled 13.2 percent and South Korea's SK Hynix was down 6.3 percent. The sell-off came after Anthropic CEO Dario Amodei urged firms to slow their model advancements to prevent misuse.

Chip and AI stocks fall as CEOs urge caution

Shares of chipmakers and AI-related companies fell on Monday after executives called for a slower pace of development due to safety concerns. In the US, Nvidia fell 2.4 percent premarket and Advanced Micro Devices dropped 5 percent. In Asia, SoftBank tumbled 13.2 percent in Japan and South Korea's SK Hynix fell 6.4 percent. Anthropic CEO Dario Amodei published an essay urging companies to slow down improvements to AI model capabilities. OpenAI CEO Sam Altman and Elon Musk both agreed with Amodei, stating that the pace of frontier AI development needs to be controlled.

AI stocks slide as leaders call for slower superintelligence

Global stocks linked to artificial intelligence faced sharp selling pressure on Monday after tech leaders demanded a more measured pace of development. Shares of SoftBank, which owns about 13 percent of OpenAI, fell over 11 percent. In South Korea, the Kospi index dropped nearly 4 percent while Japan's Nikkei 225 index declined 1 percent. Chipmakers like Kioxia fell more than 6 percent and Taiwan Semiconductor Manufacturing Company lost 1.2 percent. The market reaction was severe because these infrastructure stocks had gained about 60 percent in 2026 before investors reassessed the sector's outlook.

Companies need identity resilience against AI attacks

Modern enterprises must adopt a holistic strategy for identity resilience to defend against advanced AI-driven attacks. Security teams need to understand the entire identity environment, including legacy on-premises systems and cloud-native environments, to identify weaknesses. Organizations should use proactive measures to find misconfigured servers and hidden security gaps before attackers can exploit them. Because sophisticated attacks can still succeed, companies must have a clear crisis management playbook to handle situations where users are locked out. Building a strong security posture requires mapping defenses to the attacker lifecycle and planning for rapid recovery during outages.

Six AI Security Risks Hidden in Client Environments

Many organizations use AI tools without proper security checks, creating hidden risks for Managed Service Providers. Employees often share sensitive data like customer records with public AI chatbots, leading to potential data exposure. Poor access controls and excessive user permissions can allow AI tools to find and expose information that was previously hidden. Security training is also lagging behind as attackers use AI to create more realistic phishing emails and deepfakes. Companies focus too much on productivity while ignoring the need for backup plans if AI systems fail. These six issues show that AI security challenges are often about data governance and identity management rather than just the AI technology itself.

Ten AI Prompts to Create Ganesh Chaturthi Images

As Ganesh Chaturthi 2026 approaches, users can use ten specific AI prompts to create festive images of Lord Ganesha. These prompts work on platforms like ChatGPT and Google Gemini to generate ultra-realistic photos, caricatures, and digital illustrations. The examples include detailed scenes of clay idols, grand pandals with thousands of lights, and modern takes like Ganesha using a smartphone. Some prompts describe immersive moments like idol immersion in the sea at sunset or family pujas with warm lighting. The outputs showcase creative renditions ranging from traditional watercolor styles to vibrant comic book aesthetics. Users are encouraged to try these prompts to see how different AI tools interpret the festive imagery.

Google Launches Pay-Per-Use AI Licensing for Publishers

Google has started a new pay-per-use AI licensing program that allows publishers to earn money when their content is used for AI generation. Critics argue the program offers very small payments compared to the value publishers provide through their content. Some executives believe this model helps smaller publishers who lack the power to negotiate better deals with Google. However, larger publishers may find the revenue insignificant relative to their existing advertising income. The program could also reduce publishers leverage to demand better terms from Google in the future. Google continues to freely crawl web content, which some argue makes paying for content usage less necessary.

AI Funding Reaches $11 Billion in Eight Days

AI startups raised a total of $11 billion across 18 funding rounds between September 7 and September 13. The largest investments went to foundation models and frontier AI labs, with one French lab receiving $3.5 billion in a Series D+ round. Other major funding went to a Canadian SpaceTech company and a United States AI coding assistant, each raising $2.5 billion and $2.0 billion respectively. Smaller rounds supported sectors like automotive, biotechnology, and healthtech with amounts ranging from $38 million to $1.3 billion. The data shows strong investor interest in advanced AI models and specialized applications like space technology and chip manufacturing.

AI Infrastructure Stocks Drop on Safety Concerns

Stocks for AI infrastructure companies fell sharply on Monday due to new concerns about AI safety risks slowing down development. The Nasdaq 100 dropped 1.7 percent while the S&P 500 fell 0.7 percent amid these market worries. Anthropic CEO Amodei called for a slower pace of AI development to manage risks from improving model capabilities. This sentiment was supported by leaders from OpenAI and xAI, including CEOs Altman and Musk. Major chip manufacturers like Micron, AMD, and Nvidia saw their shares slide between 2.5 percent and 8 percent. High global yields and rising energy prices also contributed to the negative market mood ahead of a Federal Reserve decision.

Tech stocks drop after AI leaders urge slowdown

Tech stocks fell on Monday after AI executives called for a slower pace of development. The Nasdaq Composite index dropped 1.1% to 12,654.49, while the S&P 500 index fell 0.8% to 4,071.32. These comments were made at a conference in New York and showed that the industry is becoming more cautious. Investors are also worried about rising interest rates affecting the sector. The Nasdaq has lost about 10% from its March peak, and the S&P 500 has dropped 7% over the same time.

AI safety fears cause major stock market losses

Wall Street indexes fell sharply due to concerns about the speed and risks of AI development. The S&P 500 dropped 1.4% to 3,923.64, the Dow Jones Industrial Average fell 1.3% to 31,137.24, and the Nasdaq Composite lost 1.5% to 11,136.49. Recent incidents, like a major AI system shutdown and a biased chatbot, have increased investor anxiety. Experts warn that the rapid pace of AI could lead to job losses or societal problems. Trade tensions between the US and China and global economic uncertainty also contributed to the market decline.

Quantum AI offers automated trading for investors

Quantum AI is an automated trading platform that uses advanced algorithms to execute trades for users. It is designed to help both new and experienced investors by analyzing financial markets without needing constant manual input. The platform features a user-friendly interface and a straightforward registration process that requires basic personal information. Users can access the Quantum AI official website in India or from other locations to create an account. The system includes risk management tools to help protect user investments while trading across various financial markets.

AI security market grows as firms fight threats

The time between discovering a security flaw and hackers using it has shrunk from 2.3 years in 2018 to just 20 hours this year. Companies take an average of 32 to 38 days to fix these issues, creating a dangerous gap between attack and defense. Gartner projects worldwide spending on AI protection will rise 68.7% to $4.783 billion next year from $2.835 billion this year. The market for AI usage control is expected to grow 73.0% as companies need to limit what AI systems can access. Experts say new security strategies are essential to protect corporate AI initiatives from advanced cyber threats.

Sources

• Global AI stocks tumble as industry leaders call for slowing development
• Global AI stocks decline as top industry leaders urge for deceleration of progress
• AI, chip stocks fall as tech CEOs urge caution on development pace
• Global AI stocks slide as tech leaders call for a slower development of superintelligence
• Identity resilience in the age of advanced AI attacks
• What MSPs Get Wrong About Securing AI: 6 Risks Already Sitting in Your Clients' Environments
• Ganesh Chaturthi AI special: Turn your photos into Bappa magic - Top 10 prompts for you (check the outputs)
• Google rolls out pay-per-use AI licensing program to publishers
• AI Funding Roundup: $11B Across 18 Rounds, Sep 7 to Sep 13
• AI Infrastructure Stocks Slump on Monday
• Tech stocks slump after AI execs call for industry slowdown
• AI safety concerns send tech stocks lower on Wall Street
• Quantum AI in Tamil: A Comprehensive lookup of the Automated Trading Platform
• AI Security Market Expands as Firms Race to Control Autonomous Agents