One traditional metric for measuring the performance of a company is revenue per employee. And in a knowledge-based economy, this makes a lot of sense. Human capital is often the biggest expense. But as we enter the age of AI, this is now being called into question.
Sara Menker has, for example, proposed a new metric: revenue per MWh. (See above comparing Meta, Alphabet, and Microsoft.) This is meant to reflect the fact that, as AI infrastructure scales, it is likely that operating costs in the future will be dominated by electricity consumption, rather than employee count.
Naturally, this should make you wonder about a few things, namely: How will we manage the inequality that might (or will) arise from the decoupling of revenues from employees? And how are we going to sustainability supply this rapidly growing need for more and more electricity?
Albert Wenger argues that the comparable metric for nations will be GDP per GWh. This means that, to win, you're going to want cheap electricity. And as I understand it, the cheapest sources are wind, solar, and hydropower. This bodes well for Canada given that we dominate in the latter.
Cover photo by Thomas Reaubourg on Unsplash
Bond — which is a San Francisco-based VC firm with a cool website — just published this 340-page report on Artificial Intelligence. One of the authors of the report is Mary Meeker. She has been called the "Queen of the Internet" thanks to a 20-year run of presentations about the state of the internet, and her perceived ability to identity new trends early. So people are paying attention to this report. Her last one was in 2019 and I mentioned her 2018 report on this blog, here.
At this point, it's boring to say that AI is ushering in "unprecedented" global change. Everyone sends around snippets from ChatGPT. I incorporate some sort of AI-powered tool all the time in my daily workflow. And we've started using it on our development projects to help with tedious things like design coordination. Eventually we'll probably stop calling it out as "AI" and just refer to it as the things that computers and the internet can do.
In my opinion, digital nomadism is a growing trend for at least two reasons: 1) people like traveling (it's more fun than sitting in an office cubicle) and 2) technology keeps making it easier to work in a decentralized way.
This is not a new phenomenon, but it's a growing one. In 2020, it was estimated that there were ~11 million so-called digital nomads in the world. This year it's somewhere around 40 million people. And it's hard to imagine this trend reversing.
Let's consider what's happening on the technology side. This week at Google I/O, the company announced a lot of AI-powered tech in the hopes of not becoming extinct as a result of it. And one of these things was a new 3D video communication platform called Google Beam.
Two things are really neat about this tool. One, it uses some AI volumetric video model to make the person in front of you appear in full 3D. So it's closer to real life. And two, it does real-time language translations. Here's a video of it in action:
In watching this, my mind immediately went to "this is going to make it even easier for people to work from Bogotá." It also collapses the world. Now we can all speak to each other regardless of language.
Imagine, for example, being able to participate in a community meeting for a new development project in Bogotá. You could be at home speaking in English and the community could be yelling at you in Spanish. That's powerful.
There's also speculation that Apple will be adding real-time translations to its AirPods later this year. Meaning, you won't need to hide behind layers of screens and technologies. You'll be able to get yelled at in person!
One traditional metric for measuring the performance of a company is revenue per employee. And in a knowledge-based economy, this makes a lot of sense. Human capital is often the biggest expense. But as we enter the age of AI, this is now being called into question.
Sara Menker has, for example, proposed a new metric: revenue per MWh. (See above comparing Meta, Alphabet, and Microsoft.) This is meant to reflect the fact that, as AI infrastructure scales, it is likely that operating costs in the future will be dominated by electricity consumption, rather than employee count.
Naturally, this should make you wonder about a few things, namely: How will we manage the inequality that might (or will) arise from the decoupling of revenues from employees? And how are we going to sustainability supply this rapidly growing need for more and more electricity?
Albert Wenger argues that the comparable metric for nations will be GDP per GWh. This means that, to win, you're going to want cheap electricity. And as I understand it, the cheapest sources are wind, solar, and hydropower. This bodes well for Canada given that we dominate in the latter.
Cover photo by Thomas Reaubourg on Unsplash
Bond — which is a San Francisco-based VC firm with a cool website — just published this 340-page report on Artificial Intelligence. One of the authors of the report is Mary Meeker. She has been called the "Queen of the Internet" thanks to a 20-year run of presentations about the state of the internet, and her perceived ability to identity new trends early. So people are paying attention to this report. Her last one was in 2019 and I mentioned her 2018 report on this blog, here.
At this point, it's boring to say that AI is ushering in "unprecedented" global change. Everyone sends around snippets from ChatGPT. I incorporate some sort of AI-powered tool all the time in my daily workflow. And we've started using it on our development projects to help with tedious things like design coordination. Eventually we'll probably stop calling it out as "AI" and just refer to it as the things that computers and the internet can do.
In my opinion, digital nomadism is a growing trend for at least two reasons: 1) people like traveling (it's more fun than sitting in an office cubicle) and 2) technology keeps making it easier to work in a decentralized way.
This is not a new phenomenon, but it's a growing one. In 2020, it was estimated that there were ~11 million so-called digital nomads in the world. This year it's somewhere around 40 million people. And it's hard to imagine this trend reversing.
Let's consider what's happening on the technology side. This week at Google I/O, the company announced a lot of AI-powered tech in the hopes of not becoming extinct as a result of it. And one of these things was a new 3D video communication platform called Google Beam.
Two things are really neat about this tool. One, it uses some AI volumetric video model to make the person in front of you appear in full 3D. So it's closer to real life. And two, it does real-time language translations. Here's a video of it in action:
In watching this, my mind immediately went to "this is going to make it even easier for people to work from Bogotá." It also collapses the world. Now we can all speak to each other regardless of language.
Imagine, for example, being able to participate in a community meeting for a new development project in Bogotá. You could be at home speaking in English and the community could be yelling at you in Spanish. That's powerful.
There's also speculation that Apple will be adding real-time translations to its AirPods later this year. Meaning, you won't need to hide behind layers of screens and technologies. You'll be able to get yelled at in person!
But I think it's valuable to point out that this has been a really long time coming. The report talks about an "AI winter" from 1967 to 1996. That's a long time to stay motivated and interested in something that doesn't seem to be gaining traction. And it's a reminder that crypto is still early. Even though I also use blockchains every day and I've already transitioned (or am transitioning) a lot of my online life, including this blog.
Of particular relevance to this community is probably the fact that AI is also going to have a meaningful impact on our built environment. One of the sections in the report is called "Physical World AI," and it talks about how quickly data centers are now being built (compared to housing) and how Waymo (using AI) has taken something like 27% of the ride share market in San Francisco in the span of just 20 months.
This transportation product is now scaling, and cities have always responded and remade themselves according to new mobility innovations. This time won't be any different.
Cover photo by Annie Spratt on Unsplash
Cover photo by Random Institute on Unsplash
But I think it's valuable to point out that this has been a really long time coming. The report talks about an "AI winter" from 1967 to 1996. That's a long time to stay motivated and interested in something that doesn't seem to be gaining traction. And it's a reminder that crypto is still early. Even though I also use blockchains every day and I've already transitioned (or am transitioning) a lot of my online life, including this blog.
Of particular relevance to this community is probably the fact that AI is also going to have a meaningful impact on our built environment. One of the sections in the report is called "Physical World AI," and it talks about how quickly data centers are now being built (compared to housing) and how Waymo (using AI) has taken something like 27% of the ride share market in San Francisco in the span of just 20 months.
This transportation product is now scaling, and cities have always responded and remade themselves according to new mobility innovations. This time won't be any different.
Cover photo by Annie Spratt on Unsplash
Cover photo by Random Institute on Unsplash
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