Forget Nvidia: Philippe Laffont reveals his preferred way to gain AI exposure

invezz.com Jun 24, 2026

Forget Nvidia: Philippe Laffont reveals his preferred way to gain AI exposure

Curated by Shubham · TechCapsules · Jun 24, 2026

AI-summarised brief · reviewed before publication

Philippe Laffont, founder of Coatue Management, has revealed his preferred way to gain AI exposure, opting for semiconductor capital equipment stocks over popular AI-related stocks like Nvidia. In a CNBC interview, Laffont explained his strategy, citing TSMC, Lam Research, and Applied Materials Inc as his top picks for 2026. This approach is seen as a "picks-and-shovels" AI bet, as these companies provide essential equipment for AI chip production. Laffont's strategy captures the capex cycle regardless of which chip architecture wins, and these companies pay dividends. His approach offers a unique perspective on the AI boom.

💡 Why It Matters

· Laffont's strategy taps into the underlying infrastructure of the AI industry, providing a more stable investment opportunity.
· By focusing on equipment suppliers, he is betting on the consistent demand for their products.

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Former Infosys chief has a new startup that wants to challenge the…

Vishal Sikka, former CEO of Infosys, has launched a new startup called Hang Ten Systems, which aims to challenge the IT services world by using AI to automate tech tasks. The startup has raised a $32 million seed round and is working with customers such as Siemens Gamesa Renewable Energy and Fresenius on AI-native project delivery. Hang Ten's board includes Yahoo co-founder Jerry Yang, and the company is hiring across various roles to meet enterprise demand. The startup's launch comes amid a growing debate over the impact of AI on the IT services industry. With its AI-driven development and automation, Hang Ten is poised to disrupt traditional IT services firms.

💡 Hang Ten's AI-native model can scale differently from traditional services firms, with its leverage growing with every project. The startup's emergence highlights the potential for AI to fundamentally alter how enterprise software is built, maintained, and delivered.

techcrunch.com · Jun 25

Elon suffers another day short of trillionaire status

Elon Musk briefly became the world's first trillionaire when SpaceX went public earlier this month. He expressed aspirations to take people to the moon, Mars, and beyond in a speech. However, fluctuating stock prices have since reduced his wealth, making him a several-hundred-billionaire, according to Bloomberg's Billionaires Index. Musk's net worth has decreased, raising questions about his ability to support his large family. His wealth status has changed rapidly due to stock market fluctuations. Musk's current net worth is significantly lower than its peak.

💡 Musk's fluctuating wealth tests his ability to fund ambitious projects and support his family. His financial situation affects his ability to expand his business ventures and philanthropic efforts.

memeburn.com · Jun 24

Signal’s President Has a Warning About AI Chatbots in 2026

Signal's president, Meredith Whittaker, has warned about the dangers of AI chatbots in 2026, stating that they are not conscious beings but rather pattern-matching machines. Whittaker emphasizes that AI agents, such as Microsoft Copilot, demand deep system access to users' messages, calendar, and finances, creating a surveillance backdoor. She argues that users do not fully understand what they are agreeing to when using AI-powered services, which are built on data collection and targeted advertising.

💡 The convergence of autonomous AI agents, device-level message scanning, and advertising models that monetize user data is quietly building a surveillance system. This infrastructure threatens users' privacy and autonomy, as they trade off security for convenience and efficiency.

purexbox.com · Jun 24

Senior EA Exec Credits Generative AI For A “Real Rise In Creativity”

Senior EA executive Laura Miele has expressed her support for generative AI tools in the gaming industry, citing a "real rise in creativity" across the publisher's studios. Miele credits AI with removing friction from developer workflow, leading to faster prototyping and creativity. Her comments come as multiple major publishers actively deploy generative AI in their games, despite concerns over the technology's potential job losses and environmental drawbacks.

💡 Miele's endorsement of generative AI highlights the industry's willingness to adopt potentially transformative technology, even if it raises concerns about job security and environmental impact. This shift underscores the gaming industry's evolving relationship with AI and its potential to reshape the creative process.

moneycontrol.com · Jun 23

Satya Nadella’s blunt AI warning: Don’t hand the world’s curiosity to a…

Microsoft CEO Satya Nadella has warned against the concentration of artificial intelligence in the hands of a few companies, stating that AI's direction cannot be dictated by industry leaders. He emphasized the need for businesses and users to have more choice in how they use AI, with the ability to pick models based on cost, quality, and performance. Nadella's comments come as Microsoft and other tech companies invest heavily in AI models, chips, and data centers. He argued that AI should create broader productivity gains, not deepen dependence on a limited number of model providers, and that companies must earn public trust as the technology spreads.

💡 Nadella's warning highlights the risk of AI benefits accruing only to large tech firms, while workers and smaller businesses face disruption without sharing the gains. His call for a more open AI ecosystem could pave the way for more inclusive and equitable adoption of the technology.

techcrunch.com · Jun 23

The AI world is getting ‘loopy’

At Meta's @Scale conference, Boris Cherny, creator of Claude Code, discussed the significance of "loops" in AI development. Cherny emphasized that loops are a crucial step in AI evolution, comparable to the transition from source code to agents. He demonstrated how loops can be used in his own work, with agents continually improving code architecture and identifying duplicated abstractions. This concept involves authorizing a swarm of agents to work continuously in the background, a significant departure from traditional AI management.

💡 The emergence of AI loops could revolutionize the way AI handles real work, but it also raises concerns about the high computational costs involved. As agentic AI continues to improve, the potential benefits of loops, such as solving complex problems and improving code bases, may outweigh the expenses, but it remains to be seen how this technology will be implemented and managed in the industry.