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Erik Selberg

Director Of Search at Fizzylabs Corporation

Highlights

Jun 10 · linkedin

I want to talk about the difference between achieving product-market-fit and making a successful business. Start-up slang often refers to this as going from 1-10 vs 100-1000 or something like that. But to get there, I wanted to share a somewhat personal decision. As an owner of a 2012 Model S, one of the first 5000 built, and a car I thought then and still think now is one of the most amazing pieces of engineering I’ve ever owned, I’ve made the decision not to buy another car from Tesla. And it doesn’t have anything to do with Elon’s antics; but more that he is a guy who can get to product-market-fit, but who isn’t a guy who can make a successful business.

Read below for all the details, as I imagine this may be a bit more controversial than other articles I've written!

May 28 · linkedin

I had an interesting conversation last week with a colleague who helps recruiting teams be more efficient and handle the challenges of the current talent market. We started to talk about what changes AI will do to the talent market, how big, how fast, etc. This was also in light of various recent notices, just as the layoffs in tech du jour, as well as things like IBM announcing they were shrinking the number of new hires in tech, and FedEx hiring thousands upon thousands of workers without a human in the loop until the last step. And let’s be honest - a lot of CEOs of tech companies, almost all of whom aren’t engineers themselves, are vocally embracing their inner Elon Musk and looking to fire a bunch of engineers who as recently as a few years ago were demanding the finest perks in addition to high compensation and getting it. And when people point to what happened at Twitter - well, while it has become an even more wretched hive of scum and villainy, and it has had more outages than pre-Musk, it’s still around, still mostly up, and for lots of people, still relevant.

Coincidentally, another colleague forwarded an article from the Atlantic in 2016 where Prof James Bessen at Boston University looked at occupations from the 1950s on, and which ones disappeared due to automation. Apparently he only found one: elevator operator. He also pointed out that some professions have clearly been automated away yet there are still people doing them — for example, the bank teller. Phones and ATMs have largely replaced what bank tellers used to do for hours. Nonetheless, people still stand in line to deposit checks, or make withdrawals that can’t be done at the ATM. But bank tellers are also spending more time on customer service type things and other revenue generation type things.

So, is AI going to take all the jobs? Or is it a mostly nothing-burger? Will companies still need high-priced senior engineers? Will they need high-priced college grads with a CS degree? Or can they just have their not-as-highly-paid-and-more-likable product and business people write what they want as a ChatGPT prompt and it does it all for them?

Well, click on below for my thoughts on the matter!

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Erik Selberg
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Experience

Chief Data Officer And Vice President Of Engineering at Metabrite
Head Of Engineering, Analytics Infrastructure at Grab

Education

Bachelor Of Science In Mathematics, Computer Science, Carnegie Mellon University
Doctor Of Philosophy In Computer Science, Engineering, University Of Washington

Location

Seattle, WA, United States of America