AI Top-of-Mind for 7.5.24 — Overhype or Not?
Today: AI hype, common vs civil law and AI, AI impact on social and search, some great GPP-4o use cases, and where to invest?
Top-of-mind… Is AI overhyped? ‘Goldman Sachs’ offers a level-check on investment, expectations, and results, with their analysts at different ends of the spectrum. One of the more positive outlooks:
And two of the charts on labor productivity:
Does regulation impact AI development, and is it based on long-standing approaches to law? Enrique Dans at ‘CEPA’ dives into the EU Digital Markets Act (DMA) and how it is based on ‘civil law’ vs the US and the UK based on ‘common law.’ He notes the regulation lag under common law, some of which led to the creation of ‘big tech,’ as well as the attempt of the DMA to bridge the gap. From the post:
· Common law, with its roots in English jurisprudence, relies on judicial decisions and precedent, favoring a case-by-case approach to regulation. It values adaptability, evolving with the market and technologies, and providing a nuanced response to the complexities of digital markets.
· Civil law countries often create a tightly regulated environment that hinders innovation. European entrepreneurs and innovators must navigate a complex and sometimes restrictive set of rules. Although the detailed regulatory framework mitigates abuses and ensures consumer protection by anticipating and addressing potential issues, Europe has been much less innovative than the US in the Internet age.
We all have different views of listicles, but this one from Henrique Centierio and Bee Lee writing in ‘The Generator’ is worth noting. They detail 20 excellent GPT-4o use cases including note taking, fitness, translation, nutrition, and more. A few examples:
Turning to society, and marketing in particular, which aspects are expected to be most impacted by AI? A study captured by ‘EMARKETER’ looks at this question, with the responses below. Note impact on social media and search engines.
With all the VC investment hype and frothy stock prices, can you make money from AI? ‘The Information’ describes how Microsoft is probably over-valued compared to the likes of Alphabet, Meta, and Amazon as well as its AI capex, software, and Azure revenues. From the article:
If not Microsoft, then whom? ‘CB Insights’ offers some guidance, highlighting humanoid robotics. The problem is that the leading firms are mostly startups. For example, Figure, Agility Robotics, and 1X. But using the shovels analogy, they look at the robots supply chain and identify key players in electronics and sensors, actuators and motors, batteries and power systems, materials, and lastly, software and AI. Their list:
On the same line of thought, on what technologies are investors placing their bets? ‘The Information’ looks into Softbank’s strategy that focuses on chips and power. For the former, one option described has Softbank creating a company to purchase large quantities of Nvidia GPUs via a bank loan, and the company would then lease the chips to Softbank. The company’s relationship with Arm also plays a role here. For the latter, the company is considering large-scale investments in renewables, not to mention building out data centers.
