Nvidia Boosts Buyback by $150 Billion Amid AI Surge

New polling data shows most Americans favor government safeguards as AI development accelerates. The FTC is actively investigating major companies over AI-related issues, reflecting growing concern about risks. Washington is ramping up scrutiny of artificial intelligence as public worry about potential harms spreads widely.

Chinese hackers operating under the name TA419 have been targeting AI experts with sophisticated phishing campaigns since 2025. The group impersonated a former U.S. government official to steal emails from people at think tanks, universities, and defense contractors. Targets included experts working on AI regulation, export controls, and national AI strategy, with one confirmed victim being Alex Engler, a former White House official now leading the Penn Center on Media, Technology, and Democracy.

A PwC survey of 3,934 leaders across 71 countries found that 84% of security and finance leaders expect their cyber budgets to increase in 2027, driven largely by AI accelerating attacks. Responsible AI governance is the top AI investment priority at 42%, followed by platform hardening at 38% and supply chain security at 35%. However, only 39% of organizations have fully integrated operational continuity plans for cyber risk.

Investor Bill Ackman said AI has massively increased the risk of disruption for businesses and urged investors to carefully evaluate company moats. He noted that Pershing Square uses AI for investment research and praised Meta's Muse AI agent. Meanwhile, tech analyst Dan Ives compared the current AI trade to 1997 rather than the 2000 dot-com bubble, saying the buildout is only 15% complete of a $4 to $5 trillion spending cycle. Nvidia trades at about 19x forward earnings and recently added $150 billion to its buyback program.

AI adoption faces significant hurdles as companies struggle to scale projects. A BearingPoint study found only 13% of companies are on track with AI initiatives, and less than a third could move beyond pilot projects. Around 40% of respondents cited legal regulations as the main barrier, while 34% pointed to integration challenges. China and the US lead AI adoption with 20% and 18% of companies reporting comprehensive implementation respectively.

Corbenic AI launched Galahad in beta, a tool that encrypts stored AI memory and keeps each customer's data separate. In internal tests, it reduced graphics processor energy use by 92 to 93 percent. Nudge Security introduced Adaptive Risk Management to track how SaaS and AI tool risks change after approval, as third-party involvement in breaches rose 60% year over year to 48% of all breaches.

Key Takeaways

  • 84% of security and finance leaders expect cyber budgets to increase in 2027 due to AI-accelerated attacks
  • Chinese hacker group TA419 has been targeting AI policy experts with phishing since 2025
  • Only 13% of companies are on track with AI initiatives, with 40% citing legal regulations as the main barrier
  • Nvidia added $150 billion to its buyback program and trades at 19x forward earnings
  • Dan Ives says AI buildout is only 15% complete of a $4 to $5 trillion spending cycle
  • Bill Ackman says AI massively increases disruption risk for businesses and praised Meta's Muse AI agent
  • Responsible AI governance is the top investment priority at 42% according to PwC
  • Corbenic AI's Galahad reduces graphics processor energy use by 92 to 93 percent
  • Third-party involvement in breaches rose 60% year over year to 48% of all breaches
  • Most investors remain hesitant to let agentic AI trade stocks despite its capabilities

Most Americans Want Safeguards as AI Grows

New polling shows most Americans favor U.S. safeguards as AI development speeds up. The FTC is investigating major companies over AI issues. Washington is increasing its scrutiny of artificial intelligence. Public concern about AI risks is widespread.

Most Americans Want Safeguards as AI Grows

New polling shows most Americans favor U.S. safeguards as AI development speeds up. The FTC is investigating major companies over AI issues. Washington is increasing its scrutiny of artificial intelligence. Public concern about AI risks is widespread.

Most Americans Want Safeguards as AI Grows

New polling shows most Americans favor U.S. safeguards as AI development speeds up. The FTC is investigating major companies over AI issues. Washington is increasing its scrutiny of artificial intelligence. Public concern about AI risks is widespread.

Most Americans Want Safeguards as AI Grows

New polling shows most Americans favor U.S. safeguards as AI development speeds up. The FTC is investigating major companies over AI issues. Washington is increasing its scrutiny of artificial intelligence. Public concern about AI risks is widespread.

Chinese Hackers Target AI Experts With Fake Emails

Chinese hackers impersonated a former U.S. government official to steal emails from AI experts. The cybersecurity company Proofpoint tracked the group called TA419 since 2025. Targets included think tanks, universities, and defense contractors. The campaign focused on people working on AI policy and strategy.

Chinese hackers impersonate US AI experts to steal emails

Chinese hackers known as TA419 have been impersonating US AI experts to steal emails from people working at think tanks, universities, and defense contractors. The group has been active since at least 2025 and uses fake emails proposing AI collaborations to trick targets into visiting password-stealing websites. The campaign targeted experts working on AI regulation, export controls, and national AI strategy. One confirmed target was Alex Engler, a former White House official who now leads the Penn Center on Media, Technology, and Democracy.

AI pushes cyber leaders to rethink security budgets

A PwC survey of 3,934 leaders across 71 countries found that 84% of security and finance leaders expect their cyber budgets to increase in 2027, driven largely by AI accelerating attacks. However, more spending does not automatically mean better security, according to Tonya Ugoretz of PwC. Only 39% of organizations have fully integrated operational continuity plans for cyber risk. Responsible AI governance is the top AI investment priority at 42%, followed by platform hardening at 38% and supply chain security at 35%.

Where AI and automation actually help post-trade operations

AI and automation are making real progress in some areas of post-trade operations, but much of what vendors promise is overhyped. Machine learning is genuinely useful for triaging reconciliation breaks, helping route the right issues to the right people faster. Document and unstructured data extraction has also improved significantly. However, many AI tools are really just rules engines that struggle with unusual cases, and poor underlying data quality means AI can just automate problems faster rather than solving them.

AI can trade stocks but most investors do not trust it

Agentic AI is now capable of trading stocks, but most investors remain hesitant to let it manage their money. The technology has advanced enough to handle trading decisions, yet trust remains a major barrier for widespread adoption. Investors are cautious about handing over financial control to automated systems despite the capabilities of these AI tools.

Corbenic AI launches Galahad to secure AI memory

Belgian startup Corbenic AI launched Galahad in beta to help developers protect AI memory and investigate problems. Galahad encrypts stored memory and keeps each customer's data separate without changing the AI model itself. It can reuse work the AI has already done, reducing graphics processor energy use by 92 to 93 percent in internal tests. The beta offers a free 12-month license for non-commercial use on single GPU systems, with paid business licenses also available.

Nudge Security launches adaptive risk tracking for SaaS and AI tools

Nudge Security introduced Adaptive Risk Management to monitor how SaaS and AI risk changes after approval. The tool tracks how connecting apps, sharing data, or adding collaborators can create new risks. It combines vendor security posture with real-time internal usage data. The system applies or recommends security controls as risk scores change. A study found third-party involvement in breaches rose 60% year over year to 48% of all breaches.

Bill Ackman says AI massively increases disruption risk for businesses

Investor Bill Ackman said AI has massively increased the risk of disruption for companies. He urged investors to carefully evaluate business moats because some companies may disappear due to AI. Ackman noted that Pershing Square uses AI for investment research. He also highlighted AI's role in advancing medicine and enabling new entrepreneurs. Ackman praised Meta's Muse AI agent and called Brookfield Corp an AI winner.

Tech analyst compares AI trade to 1997 not 2000 bubble

Senior managing director Dan Ives said the current AI trade is a 1997 moment, not a 2000 bubble moment. He said the AI buildout is only 15% complete of a $4 to $5 trillion spending cycle. Ives noted that today's AI leaders are profitable unlike dot-com era startups. Nvidia trades at about 19x forward earnings and added $150 billion to its buyback program. The article lists three warning signs that could indicate a bubble forming.

AI adoption stalls as companies struggle to scale projects

A BearingPoint study found only 13% of companies are on track with AI initiatives. About 73% of companies reported positive financial results from AI but less than a third could move beyond pilot projects. Around 40% of respondents cited legal regulations as the main barrier to scaling AI. About 34% pointed to challenges integrating AI into existing IT systems. China and the US lead AI adoption with 20% and 18% of companies reporting comprehensive implementation.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI Development AI Regulation AI Risks Cybersecurity AI Adoption AI Investment AI Governance AI Tools AI Policy AI Attacks AI Barriers AI Energy Efficiency AI Spending AI Disruption AI Expertise AI Moats AI Integration AI Legal Regulations AI Third-Party Risks AI Agentic Trading

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