Goodbye, Ivory Tower. Hello, Candy Store
nytimes.com
nytimes.com
A most ridiculous example of 'anything is possible with technology'.
We haven't even figured out a way to get people from home to work quickly and efficiently in Silicon Valley but people are working on maximizing the earning potential of your coffee machine.
We haven't even figured out a way to get people from
home to work quickly and efficiently in Silicon Valley
I'd say there is a rational reason for this. If the cost of living was lower in the SFBA, salaries would likely be lower. By creating remote working technology or attitudes, an engineer would almost be working towards lowering their own salary (effectively allowing their jobs to be intra-country-outsourced to lower cost of living areas).I certainly would. I don't really care if my salary goes down by 10 percent if I massively help make the world a better place.
And I agree with you, for employers it's definitely in their interests, they just need to get over the inertia of "bums in seats means work is getting done".
Why wouldn't someone want to both become rich by putting devs out of a job and making the world better?
Maybe due to misplaced loyalty, and so as to screw over the rest of society To Help a small rich group?
X : service-economy :: jeans : gold-rush
Because it turned out that lots of people liked having tough, reliable pants that had been proven to work by people using them all the time, and later there was lots of room for diversification.
There's not much profit in pickaxes once the gold-rush wears off.
But getting rich selling jeans during a gold rush requires luck, you have to already have the skill to sew before you go out West. Otherwise you're just like every schmoe out there looking to get rich. If you get out there and realize there's big money to be made in jeans, then by the time you're ready to compete effectively the opportunity to generate outsized returns is already gone.
The people who typically get rich during gold rushes already have 10 years of experience doing the thing they got rich doing, and they got there first. You need both foresight, the capability to be where you are needed when you're needed there and not after the big money has already been made, and luck, the happenstance of already having the skills that were needed.
Foresight can be learned, but luck can't be controlled.
Airbnb is already making tangible changes based on this kind of data. One example is using it to make predictions of demand, and then tell Airbnb hosts the optimal price that they should charge to maximize revenue and chances of being booked.
> A current market-design challenge for Amazon and Microsoft is their big cloud computing services. These digital services, for example, face a peak-load problem, much as electric utilities do.
> How do you sell service at times when there is a risk some customers may be bumped off? Run an auction for what customers are willing to pay for interruptible service? Or offer set discounts for different levels of risk? Both Amazon and Microsoft are working on that now.
Maybe we're boring because I fought (and won) for flat pricing instead of making this auction-based like Spot. We didn't ignore the economics though, auctions are a great thing for a fixed, exchangeable pie; much less clear for price elasticity, and an effectively infinitely scalable business.