I have been using an Apple Watch for a couple of months now. A lot of people ask me why I feel it is necessary to have a screen on my wrist, and I certainly get why some would see it as a massive distraction. You have to be selective with your notifications. Generally speaking, I find it very useful, though not necessarily invaluable.

But every now and then I come across a new use case and think to myself, "well this is pretty cool." I recently discovered that you can use it for boarding passes, which means one less thing in your hands at the airport. And this week I've been using it while snowboarding, which is helpful if you're trying to manage a WhatsApp group chat and you don't want to take your phone out on the lifts.

The numbers also suggest I'm not alone in finding utility. Here are Apple's sales numbers from Neil Cybart of Above Avalon:

Apple has sold more than 90 million Apple Watches to date with 29 million sold in calendar year 2019. With an average selling price of more than $400, the Apple Watch is bringing in $12 billion of revenue per year, and that total is growing by 30% per year. After taking into account upgrade trends, the number of people wearing an Apple Watch has crossed 65 million. Based on my forward projections, the Apple Watch installed base will surpass 100 million people in 2021.

In Neil's view, the Apple Watch is indeed one of those paradigm shifts in computing. It is taking over tasks that our phones used to do and it is allowing for entirely new use cases. Neil cites three important features. We are now able to (1) seamlessly track/monitor aspects of our health, (2) intelligently receive small bits of information, and (3) augment our surroundings ("contextual awareness.")

For more on why the Apple Watch is / could be fundamentally changing mobile tech, click here.

One of the things that many city planners, transportation experts, and municipalities are trying to figure out is how to successfully shift people away from driving towards alternative modes of transportation, such as biking and transit. Now, this is no easy task. There are a myriad of factors that influence a person’s decision to drive or not drive–or if they should even own a car in the first place. Though, land use and density are, in my opinion, probably the biggest.

But of all the solutions thrown around, mobile apps are typically not within the playbook. However a recent New York Times article is making the argument that it should be, because car-sharing services and apps like Uber seem to be indeed having an affect on people’s decision to own a car. And that’s because in some cities it’s actually cheaper to use Uber every day (than to own a car) and because taxi use has been shown to correlate with other (non-driving) forms of mobility.

Paradoxically, some experts say, the increased use of ride-sharing services could also spawn renewed interest in and funding for public transportation, because people generally use taxis in conjunction with many other forms of transportation.

Some of you might know that I’ve recently started using a mobile app called Strava. It’s a platform that allows you to track your runs and bike rides, as well as those of your friends. It tells you your speed, elevation changes, and it also maps your trips–among many other things. Here’s what my 50 km ‘Ride for Heart’ looks like from last Sunday.

But what’s even more interesting is how cities are starting to use the data this app collects:

For $20,000 a year, transportation planners and others can access Strava Metro, which provides an unprecedented look at where and how people are biking. It can tell them where they speed up and slow down, for example, or where they might stay in the street or ride on a crosswalk. That information can reveal where bike lanes or traffic calming measures would be useful, and if those already installed are effective.

It’s a perfect example of how “tech” is infiltrating so many other sectors. Mobile technology and networks are generating huge amounts of data and it’s happening at an increasing rate. We’re gaining insights into the way people live that simply wasn’t possible before. Some of this information will inevitably be misused, but a lot of it will be used to improve the way we live our lives.