Good morning from OWITH.ai, the podcast that gives you only what's important to hear in the AI and tech world.Despite predictions that AI would render consulting obsolete, firms like Capgemini continue to thrive by assisting companies in adapting AI technologies. Consulting firms are increasingly viewed as essential partners for implementing AI due to their expertise in organizational transformation, data governance, and cybersecurity. This expertise is crucial as AI demands significant restructuring of workflows and integration with existing systems. Boards still prefer the counsel of established consulting firms like McKinsey and BCG over AI models like ChatGPT, largely due to a trust deficit and the need for domain-specific insights. Consulting firms leverage their deep industry knowledge to guide clients in sectors where AI models lack expertise, such as pharmaceutical manufacturing and retail logistics. Capgemini's strategy emphasizes outcome-based solutions rather than technical specifications, pushing the firm to offer end-to-end solutions and assume some operational risks. AI enables consulting firms to tap into midmarket companies by reducing the cost structure of engagements, allowing firms like Capgemini to offer competitive solutions at price points attractive to these smaller clients while maintaining profitability. The shift towards AI in consulting presents both opportunities and challenges. While AI lowers costs and expands potential markets, it also necessitates retraining staff to work effectively alongside AI agents. This technological shift is seen as a significant opportunity for growth in the consulting industry.Transitioning now to broader AI news, Nvidia projects $1 trillion in AI chip sales by 2027, indicating robust demand. CEO Jensen Huang recently captivated the tech world with a marathon two-and-a-half-hour presentation at the GTC Developers Conference, showcasing a range of new products including plans for space data centers. Huang reassured attendees of NVIDIA's growth potential, predicting $1 trillion in business by 2027, up from earlier forecasts indicating an additional $500 billion in new demand. These announcements emphasize Nvidia's growing dominance in the AI hardware market.Meanwhile, Meta delays launching its new AI model "Avocado," considering licensing alternatives from Google due to performance concerns. Additionally, debates around ethical AI usage continue with terms like "cognitive surrender" and "moral crumple zones" gaining attention, highlighting the complexities of integrating AI into human decision-making processes.Shifting focus to the investment realm, in 2017, Darian Shirazi and Zach Bratun-Glennon co-founded Gradient, an AI-focused investment firm backed by Google at a time when artificial intelligence was not widely recognized as a lucrative business opportunity. Despite initial skepticism from other investors who were more interested in trends like cryptocurrency, Gradient aimed to support early-stage AI companies. The firm was established shortly after Google's influential "Attention Is All You Need" paper on AI marked the beginning of significant technological advancements though business applications remained limited at that time. The landscape has shifted dramatically since then, with AI now becoming a central focus for many investment firms. Gradient recently closed its fifth fund, raising $220 million to invest in seed and pre-seed AI startups—a significant achievement for Shirazi and Bratun-Glennon who have seen the number of viable AI companies grow significantly post-ChatGPT. As Gradient evolves, it has started taking on outside limited partners for the first time and no

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