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Welcome to our weekly edition of AI & Finance™!
Hello, Friends, we're glad you're joining us in our first summer edition of AI & Finance, where we hope you'll notice that, like our garden, we're growing a little bit in the sun and warmth. Also as in our garden, we're still waiting for some of our work to bear fruit, but today we'll enjoy a little taste of an early harvest. To get things started our AI & Finance headlines column engages in a chicken-and-egg debate about why human advisors may be abandoning the idea of serving mass affluent clients altogether. Speaking of debates and chickens, we also have a "Looking Back" column about AI-driven job disruption in financial services and elsewhere. AI Education this week talks about data integrity-how the artificial intelligence era really challenges organizations to store and protect data for the long haul so that it can be used to train models. In other huge news, Chinese generative AI powerhouse DeepSeek makes a multi-billion-dollar splash in venture capital announcements. We also decided to offer a bit of fresh news (for once!) and commentary regarding the delay of OpenAI's newest-and most powerful to date-model release, and what it might mean for the future of AI development in the U.S. ... CHECK IT ALL OUT BELOW!
Today's AI is pretty good at a lot of things. In many cases, artificial intelligence is maybe not great, but good enough for most purposes. Welcome to another busy week in AI & Finance! Picking back up, we would argue that those use cases include artistic creation, writing, editing and publishing, but also investing, banking, trading, financial planning, wealth management and advice. Furthermore, it turns out that AI is pretty effective as a salesperson, which is great for financial services as the entire industry, not just wealth managers, has gradually moved away from sales-centric roles. Of course, this means that many of the... CONTINUE HERE
Clearly, data is in vogue. In AI Education alone, we've talked about data governance (recently, in fact), data centers, data lakes, data warehouses, data ethics, poisoned data attacks and big data. Zooming out to all of the relatively short history of Digital Wealth News and AI & Finance, we've hit topics like data privacy (which we'll briefly return to today), as well as data silos, data platforms, data management, clean data and data integration. Here's another great quote for you, from former Google CEO and chairman Eric Schmidt: "There were 5 exabytes of information created between the dawn of civilization through 2003, but... CONTINUE HERE
This week our overall AI venture capital activity accelerated again from prior weeks' strength, with all five of our listed announcements coming in over $250 million and nine announcements total coming in over $100 million. The biggest announcement, per FinSMEs, came from China-based DeepSeek, which raised more than $7 billion round at a valuation of over $50 billion to "fund extensive compute infrastructure clusters, accelerate next-generation open-weight model pre-training, and scale domain-specific software applications across global enterprise tech stacks," according to its announcement. DeepSeek made waves over a year ago in announcing ultra-efficient AI models. Our second-place announcement was from San Francisco-based Baseten... CONTINUE HERE
This week underscored how artificial intelligence has become as much a geopolitical and public policy issue as a technological one. Washington's growing involvement in frontier model deployment, an escalating talent war among the industry's leading laboratories, cybersecurity becoming a primary battleground for foundation models, and new workforce initiatives all highlighted AI's expanding influence. At the same time, semiconductor demand, enterprise investment, and political debates over AI regulation continued to reshape the competitive landscape for technology companies and financial markets alike. The week's biggest story came as reports indicated that the White House asked OpenAI to limit the initial rollout of its forthcoming GPT-5.6... CONTINUE HERE
For years, the defining question surrounding artificial intelligence has been how quickly companies like OpenAI, Anthropic, Google, Meta and xAI could release increasingly capable frontier models. This week, however, another question suddenly became just as important: Who gets to decide when those models are released? That question moved from theory to reality after reports that the Trump administration asked OpenAI to stagger the rollout of GPT-5.6, delaying what many expected to be one of the year's biggest artificial intelligence launches. Instead of an immediate public release, OpenAI will reportedly introduce GPT-5.6 through a limited preview, with the federal government approving customer access on... CONTINUE HERE
For much of the past month, one question has dominated conversations about artificial intelligence more than model benchmarks or venture funding: Is AI finally beginning to eliminate white-collar jobs? Executives, economists, regulators and financial institutions offered sharply different answers. On one side were headlines documenting AI-related layoffs, banks restructuring back-office operations, wealth management firms redesigning advisor roles and economists warning that entry-level knowledge work faces unprecedented pressure. On the other were equally prominent voices-including some of the same AI executives who spent the past year predicting widespread disruption-now arguing that the labor market has proven more resilient than expected and that... CONTINUE HERE
Source: thefinancials.com | Updated every 30 minutes, M-F during market hours
The DWN AI Index™ is a benchmark stock index of the artificial intelligence (AI) sector. The index is comprised of a diversified group of stocks deriving a significant percentage of their revenue from AI applications. REVIEW HISTORICALS HERE
STOCKS COMPRISING DWN AI INDEX:
Amazon (AMZN) * Arista Networks (ANET) * AI (C3.ai) * CrowdStrike Holdings (CRWD) * Duolingo (DUOL) * iRhythm Technologies (IRTC) * Microsoft Corporation (MSFT) * NVIDIA Corporation (NVDA) * Palantir Technologies (PLTR) & * Taiwan Semiconductor * Manufacturing (TSM)
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