Goldman Sachs expects Taiwan Semiconductor stock to rise on AI demand

The deal is supposed to help SpaceX's struggling AI division. The company told IPO investors it sees a $26 trillion addressable market in AI.

The shifting AI landscape highlights the potential for increased competition and innovation, but centralized control remains a key concern. The post ChatGPT’s market share slips below 50% for the first time as Gemini and Claude close the gap appeared first on Crypto Briefing.

AI's limited impact on UK jobs suggests gradual adaptation, with potential future shifts requiring strategic workforce planning and reskilling. The post AI has limited impact on Britain’s jobs market, analysis finds appeared first on Crypto Briefing.

AI stock rally's boom phase suggests potential market concentration risks, echoing dot-com era, impacting broader investment strategies. The post Bank of America survey shows AI stock rally in boom phase, not euphoria appeared first on Crypto Briefing.

Although AI laggards are still racing to adopt the technology, for the heaviest users tokenmaxxing is out. Some, including Meta and Amazon, have scrapped their leaderboards.

A Silicon Valley software maker and an ecommerce company reveal to WIRED how they are navigating the emerging challenge of “tokenomics.”

Most organizations are struggling to use AI insights. Even as it’s been easier than ever to produce predictions, recommendations and scores, many data science and business teams end up with a stockpile of unused information that doesn’t drive meaningful transformation. Decision intelligence helps organizations bridge that gap by embedding insights [...] The post Decision intelligence: Why insights alone don’t create value appeared first on SAS Blogs.

Nvidia’s new RTX Spark is one of the most interesting personal computing announcements in years. That’s because it’s not just another PC platform, but tries to redefine the role of the personal computer in the age of AI. Announced at Computex 2026, RTX Spark is Nvidia’s new platform for slim Windows laptops and compact desktops, designed to combine an Arm-based CPU, Blackwell-based RTX graphics, and a large, unified memory architecture into a single AI-first computing system. We have all grown accustomed to a cloud-centric AI model over the past few years. We open an application, send a request over the network, and a hosted service in a distant data center provides the intelligence. ChatGPT, Grok, Gemini, and similar systems have trained the market to think of AI as something that lives elsewhere. RTX Spark proposes a different model. It asks a simple yet disruptive question: What if the model, the agent, the data, and the application could all live on your own machine? Nvidia is not