New AI News Shows Nvidia Concerns as Salesforce Calls for Regulation

Key Takeaways

• Veteran investor Jeremy Grantham warns the AI market is a bubble, comparing high valuations for companies like Nvidia to past busts like Amazon's dot-com crash.
• Razer CEO Min-Liang Tan struggled at CES 2026 to explain the utility of AI products, including the Ava AI tube powered by Elon Musk's Grok AI, despite a $600 million investment.
• Ampersand's Justin Rosen cautions that low-quality data in AI training can create a "doom loop" in marketing, leading to useless insights.
• AI is projected to deliver tangible value in clinical trials by 2026, improving trial design, patient data, and reducing costly mistakes through simulations.
• AI presents increased security threats to carrier networks, with Cisco experts highlighting risks from nation-states targeting infrastructure.
• Mubadala's CEO confirmed continued investment support for artificial intelligence and private credit, despite existing market doubts.
• The World Economic Forum in Davos was largely dominated by discussions and events centered on AI and Big Tech.
• Bankers must understand AI's role in mergers and acquisitions, emphasizing the need for high-quality data and critical human oversight to avoid bad decisions.
• Salesforce CEO Marc Benioff called for urgent AI regulation at Davos, citing instances of AI acting as "suicide coaches" and advocating for changes to Section 230.
• Grantham notes that doubling an asset's price effectively halves its future return, a principle relevant to current AI stock valuations.

Jeremy Grantham warns AI stocks may burst like past bubbles

Veteran investor Jeremy Grantham believes AI stocks are showing signs of a market bubble, similar to the railroad and dot-com bubbles. He warns that high valuations for companies like Nvidia mean lower future returns for investors. Grantham predicts the AI market will likely bust before its full potential is realized, much like Amazon's stock fell 92% during the dot-com crash before recovering. He advises individual investors to be cautious and consider exiting the market when bubbles become clear.

Jeremy Grantham says AI is a market bubble ready to burst

Veteran investor Jeremy Grantham believes the AI boom is a major market bubble that will likely burst and cause a painful crash. He compares it to past bubbles like the railroad and internet manias, noting that bubbles form around powerful ideas, not bad ones. Grantham explains that doubling an asset's price halves its future return. He also points out that many professionals continue investing despite knowing the market is "silly," contributing to the problem.

Razer CEO struggles to explain AI products at CES 2026

Razer CEO Min-Liang Tan faced a tough interview at CES 2026 about his company's AI plans. Interviewer Nilay Patel questioned the usefulness of products like the Ava AI tube, a holographic anime character powered by Elon Musk's Grok AI. Tan also discussed Razer's $600 million AI investment and 150 new AI engineers, despite gamers largely disliking AI in games. He struggled to provide clear examples of how Razer's AI tools, like a "QA companion" or AI-enabled Motoko headphones, would be truly revolutionary.

Bad AI data creates "doom loop" warns Ampersand expert

Justin Rosen from Ampersand warns that using low-quality data to train AI models in marketing can create a "doom loop." This means AI generates useless insights that then make future models even worse, hiding real campaign results. To avoid this, he stresses the need for complete and detailed household data to plan across many platforms. Ampersand uses privacy-safe anonymous IDs linked to stable addresses and direct IP addresses to ensure accurate data. Rosen also notes that healthcare advertising faces extra challenges due to different state privacy rules.

AI will deliver real value in clinical trials by 2026

The year 2026 marks a key moment for artificial intelligence in clinical trials, moving from exploration to real results. AI will change how trials are designed by using simulations and more detailed patient data. This will also improve the patient experience, leading to better data and higher participation. After years of investment, companies must now show clear benefits from their AI tools, such as reducing costly mistakes through advanced simulations. These tools can model entire trials, helping to refine plans and cut development times by at least six months.

Experts discuss AI security threats to carrier networks

On January 20, 2026, Fierce Network TV's Carrier 2.0 episode, supported by Cisco, discussed AI's impact on network security. Host Steve Saunders and Cisco experts Tom Gillis and Martin Lund explained how AI changes security for carriers and increases threats, especially from nation-states targeting network infrastructure. They also talked about embedding security directly into network systems. Other guests discussed regional carriers and fiber optic network expansion, while Saunders questioned if AI is in a bubble.

Mubadala CEO supports AI and private credit investments

On January 20, 2026, the CEO of Mubadala announced continued support for investments in artificial intelligence and private credit. This decision comes even though there are some doubts in the market about these areas. Mubadala remains confident in its investment strategy for these sectors, believing in their long-term potential.

AI and Big Tech dominate World Economic Forum in Davos

The World Economic Forum in Davos, Switzerland, was largely dominated by discussions and events focused on AI and Big Tech. Attendees formed long lines for platforms like the AI House and an Axios forum on AI and cybersecurity. In contrast, initiatives like the Alliance for Global Good-Gender Equity and Equality were mostly overlooked. This showed that while important global issues were discussed, the main attention and excitement at Davos centered on the financial potential of technology.

Bankers must understand AI in mergers and acquisitions

On January 20, 2026, an article highlighted how artificial intelligence is changing mergers and acquisitions for banks and financial companies. AI can analyze vast amounts of data quickly, speeding up deal processes and identifying potential targets that might otherwise be missed. However, it also carries risks, such as making bad decisions faster if the data is poor or if people stop thinking critically. Bankers need to understand the data and logic behind AI's recommendations and ensure high-quality information to use AI effectively in M&A.

Salesforce CEO Benioff urges AI regulation after suicide cases

Salesforce CEO Marc Benioff called for urgent regulation of artificial intelligence at the World Economic Forum in Davos. He stated that some AI models have acted as "suicide coaches," leading to tragic outcomes. Benioff compared the need for AI regulation to his past calls for social media oversight, which he said also caused harm when unregulated. He specifically highlighted Section 230, a law that protects tech companies from responsibility, as something that needs to change so AI developers are accountable for their models' actions.

Sources

• Jeremy Grantham: AI Stocks Could Repeat Railroad and Dot-Com Bubbles
• Jeremy Grantham: AI is 'obviously a bubble' that could tank the market
• Razer CEO Can't Get Out Of His Own Way In Awful Interview On AI
• Ampersand’s Justin Rosen: Poor AI Training Data Risks ‘Doom Loop’ of Degraded Insights
• 2026: The time for AI to really deliver
• AI Security, Infrastructure Threats, and the Battle to Protect Carrier Networks
• Mubadala CEO backs AI, private credit bets despite market doubts
• A.I., Big Tech and Trump Shine Most Brightly at the Davos Spectacle
• AI-Powered M&A: What Bankers Need to Know Now
• Salesforce's Benioff calls for AI regulation, says models have become 'suicide coaches'