Category: Technology (Page 1 of 3)

Can anyone justify the SpaceX proposed IPO valuation?

SpaceX headquarters

You know we might be in a bubble when you read through the SpaceX S-1 filing.

Scott Galloway has a history of calling out ridiculous IPOs and S-1s . . . remember WeWork? Galloway takes a look at the SpaceX S-1 and points out some amazing valuation claims. Galloway argues the proposed valuation is disconnected from current financials. At the low end of the reported target, SpaceX would trade around 94x sales, above even very high-multiple public tech names; his sum-of-the-parts math gets closer to $1 trillion, not $1.75–$2 trillion. He also criticizes the pitch’s huge $28 trillion TAM, including assumptions like near-universal Starlink adoption and enterprise AI markets far larger than today’s enterprise software market.

Galloway is basically explaining that the IPO asks public investors to pay today for a best-case, multi-decade outcome for SpaceX. Basically, investors will be funding Elon Musk’s grandest ambitions. And yes, Elon has done some amazing things with SpaceX and Tesla. And, Galloway has been famously wrong (as he admits repeatedly) about Tesla’s valuation. But the numbers are clear. Musk is making a massive bet, and the upside is already baked in here.

We’ll see if this has any impact on the IPO. Other analysts are making the same case when they drill down into the numbers.

Brands grapple with how to use generative AI in ads and in branding

You probably saw this amazing ad created by PJ Ace for Kalshi during the NBA Finals. It was a massive success for the Kalshi brand and generated a ton of buzz.

And it was created completely by AI.

For small companies and less well-known brands, generative AI offers an amazing tool if used propoerly with the assistance of creatives like PJ Ace, who has built an ad agancy that makes AI commercials for clients.

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The “Custom AI” trend that will dominate business use cases

AWS custom AI

As businesses make more investments in AI, we’re going to start seeing more “custom AI” builds. “Custom AI” is the practice of taking a general foundation or large-language model (LLM) and adapting it so that it better reflects a particular organization’s needs. It all start with using that organization’s date, and then emplying tactics such as fine-tuning, continued pre-training, model-distillation, domain‐specific training, etc. to provide the most relevant and useful output. Think of a law firm using their own contracts to train their proprietary model, or a company using all of their own product specifications in the AI used for customer services.

Amazon AWS details this in a recent release: “Custom Intelligence: Building AI that matches your business DNA.” It outlines how they help customers create custom models and how these models can be fine-tuned over time.

Intel announces massive chip factory near Columbus, Ohio

Intel computer chip

Intel has announced a massive investment in US manufacturing and in the state of Ohio.

Chip giant Intel plans to officially announce Friday that it will invest $20 billion to build two computer chip plants in Jersey Township in Licking County in what will be Ohio’s largest economic development project to date. State and local officials are set to gather in Newark this afternoon to celebrate the news.

The factories, called fabs, will employ 3,000 workers at an average salary of $135,000 per year. On top of that, the project is expected to create 7,000 construction jobs and 10,000 indirect jobs. And that’s just the start.

This is big news in so many ways. First, it’s a big step in bringing semiconductor manufacturing back to the United States. This is welcome news for the long-term health of U.S. manufacturing, but also due to the current chip shortage being experienced in many industries.

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Deloitte uses artificial intelligence to boost productivity

The artificial intelligence revolution may just be getting started, but it’s having a real impact, particularly in large companies as you can see from this video. Deloitte is using artificial intelligence to automate more routine tasks, freeing up their employees to focus on tasks that leverage their skills as opposed to eating up time.

This makes them much more productive, with better results that take less time. Yet it’s also a trend that will threaten many jobs, which will be a challenge for society even if companies draw large benefits.

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