WEBVTT - Human vs Machine: Fitness Gadgets

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<v Speaker 1>Back in two thousand five, Jen Patty was a senior

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<v Speaker 1>designer at Apple. Her career was taking off, but like

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<v Speaker 1>a lot of us and sedentary office jobs, she was

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<v Speaker 1>struggling with her weight. It was a lot of anxiety

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<v Speaker 1>and depression and eating meals in my car and drinking

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<v Speaker 1>a lot, and uh driving a hunt, sitting a lot,

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<v Speaker 1>and working a lot. And I got to a point

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<v Speaker 1>where I knew I needed to make a change, but

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<v Speaker 1>I didn't know what to do because it was so overwhelming.

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<v Speaker 1>For years, Jenna tried a bunch of things. Eventually, she

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<v Speaker 1>committed to seeing a personal trainer every single week, and

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<v Speaker 1>it worked. She lost thirty pounds over the course of

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<v Speaker 1>a year. She was so thrilled that she ended up

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<v Speaker 1>quitting her high paying job and became a personal trainer herself. Today,

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<v Speaker 1>Jen is forty five years old and she is the

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<v Speaker 1>fittest person I've ever met. Now, this is the tape

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<v Speaker 1>of you on a recent afternoon, basically getting your butt

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<v Speaker 1>kicked by Jim. It's great. I've been training with Jen

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<v Speaker 1>over the last two months, and she is really good

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<v Speaker 1>at her job and gets paid a lot for her expertise.

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<v Speaker 1>She charges her clients a hundred seventy dollars procession. But

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<v Speaker 1>in the decades since Jen has been honing her skills

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<v Speaker 1>the tech industry she left has also been hard at

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<v Speaker 1>work trying to automate away small slices of her specialty,

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<v Speaker 1>which is getting people fit. Most of these products so

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<v Speaker 1>far have been a flop, but there's a new generation

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<v Speaker 1>of devices just coming to the market now that don't

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<v Speaker 1>just track your steps or your calories. They actually tell

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<v Speaker 1>you what to do in real time, the way Jen

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<v Speaker 1>has been doing with me. Jen thinks a compute could

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<v Speaker 1>never do her job, but after taking these gadgets out

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<v Speaker 1>for spin, I'm not so sure that Jen's career is

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<v Speaker 1>as robot proof as she thinks. Hi am Akito and

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<v Speaker 1>I'm brad Stone and this weeknd Decrypted. We have seventeen gadgets,

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<v Speaker 1>one Elite personal trainer, and two months for me to

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<v Speaker 1>see which is better, the human or the machine. It's

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<v Speaker 1>a competition that has big implications for the wearables industry

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<v Speaker 1>that's estimated to become a thirty four billion dollar market

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<v Speaker 1>by as well as the more than twenty thousand people

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<v Speaker 1>employed as trainers in the U S alone. This will

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<v Speaker 1>be the second episode in our series exploring the risk

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<v Speaker 1>that automation replaces our jobs. Tell us your stories, record

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<v Speaker 1>a voice message and send it to decrypted at Bloomberg

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<v Speaker 1>dot net and stay with us. I'll be discussing some

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<v Speaker 1>of the more interesting devices I tested, including a set

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<v Speaker 1>of heart rate sense and earbuds, emotion Sense and clip,

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<v Speaker 1>a chess trap, and a risk based activity tracker. At

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<v Speaker 1>the end of the show, I'll be sharing the gadget

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<v Speaker 1>I recommend the most. So to start today's show, I

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<v Speaker 1>want to go back a little bit too. When I

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<v Speaker 1>first met my wife Emily two years ago. Here we

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<v Speaker 1>go again, when we got married in January, and over

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<v Speaker 1>the course of our relationship, like a lot of people

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<v Speaker 1>who settle into long term relationships, I gradually stopped exercising

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<v Speaker 1>as much as I used to. In March, I realized

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<v Speaker 1>that I was about nine pounds heavier than when I

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<v Speaker 1>was single, and at my lean nest and you blame

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<v Speaker 1>your wife for this. Well, here's how I explained it

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<v Speaker 1>to Jen when I first met her. And why do

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<v Speaker 1>you think about is? I mean, I think a lot

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<v Speaker 1>of it is because I don't have this like existential

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<v Speaker 1>threat of never reading anyone, you know. And I think

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<v Speaker 1>back when I was single, I I just like there

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<v Speaker 1>was much a much bigger priority for me to stay

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<v Speaker 1>under a certain way and look a certain way. And

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<v Speaker 1>now I'm married, so I guess I don't care anymore.

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<v Speaker 1>So after I came to this realization in March, being

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<v Speaker 1>the diligent technology journalists that I am, the first thing

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<v Speaker 1>I turned to was obviously technology. I went into this

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<v Speaker 1>with plenty of skepticism, since I've had a lot of

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<v Speaker 1>disappointing experiences with wearables before. Yeah, I myself have a

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<v Speaker 1>robust collection of smart watches and fitness trackers that now

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<v Speaker 1>do a great job monitoring the dust levels and various

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<v Speaker 1>dust Yeah, I've had one or two fit bits before

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<v Speaker 1>to um and a GPS watch and even the super

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<v Speaker 1>Bulky Watch a couple of years back that tracked how

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<v Speaker 1>much I was sweating, and all of them generated these

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<v Speaker 1>really cool charts. But it was the same story over

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<v Speaker 1>and over again of ending up with all this data

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<v Speaker 1>and not really knowing what to do with it. They

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<v Speaker 1>didn't tell me what I should do, you how I

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<v Speaker 1>should change the way I lived my life, So I

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<v Speaker 1>guess I stopped using them after a few weeks. And yet,

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<v Speaker 1>knowing all of this, knowing that you were probably going

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<v Speaker 1>to be disappointed again, you still gave these gadgets another

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<v Speaker 1>girl I did. I did, and as I did my research,

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<v Speaker 1>I was intrigued because there was something different in the

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<v Speaker 1>way that these new devices were being marketed. So these

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<v Speaker 1>devices are not just giving you data, they're actually coaching

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<v Speaker 1>you through an exercise, right, And that made me wonder

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<v Speaker 1>whether they were just as good as the real thing,

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<v Speaker 1>just as good as having a human personal trainer. And

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<v Speaker 1>that's how I came to meet Jen Patty. Hey, that's good, good,

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<v Speaker 1>how are you for our first session? Jen came to

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<v Speaker 1>meet me at our office in downtown San Francisco, and

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<v Speaker 1>I was pretty nervous, which you can probably tell from

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<v Speaker 1>how high pitched my voice got. She's five eleven hundred

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<v Speaker 1>sixty pounds and at the time I didn't know that

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<v Speaker 1>she competes in these crazy one hundred mile races in

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<v Speaker 1>the mountains for fun. I immediately got intimidated and regretted

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<v Speaker 1>what I got myself into. Okay, so today we're gonna

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<v Speaker 1>do some basic assessments to see where you're starting from

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<v Speaker 1>and your fitness, and then we're also going to talk

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<v Speaker 1>about your goals where you want to end up from

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<v Speaker 1>when we're done with our sessions together, and then I'll

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<v Speaker 1>help um you put a training plan like a road

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<v Speaker 1>math together. So how did it go? I was sore

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<v Speaker 1>for days? So what did Jen think about this little

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<v Speaker 1>experiment you are running pitting her against these machines. I

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<v Speaker 1>was a little nervous because I thought she might find

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<v Speaker 1>insulting or something. But Jen loved it. She really seemed

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<v Speaker 1>to relish in this competition. Like this time. She started

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<v Speaker 1>chatting up these two photographers at the end of one

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<v Speaker 1>of our runs. What's the podcast? I read a tech

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<v Speaker 1>podcast called Decrypted from bloom Brake, and I'm pitting her

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<v Speaker 1>Gen's up her Seal trainer against a bunch of new

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<v Speaker 1>fitness gadgets. I'm winning that proclaimed to be AI personal

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<v Speaker 1>coaches experience not as good or as attractive as I am.

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<v Speaker 1>And Jen has been so confident in her value as

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<v Speaker 1>a personal trainer. So confident that technology would never replace

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<v Speaker 1>her job that she's even helped design these exercise videos

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<v Speaker 1>on an app from Fitbit called fit Star. And that's

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<v Speaker 1>an interesting choice for someone whose livelihood depends on people

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<v Speaker 1>needing to come see her to get fit. Do you

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<v Speaker 1>ever stop and think, why am I automating away my job?

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<v Speaker 1>It was in the back of my head, But again,

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<v Speaker 1>like why am I doing my job? I care about health,

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<v Speaker 1>So I'm doing my job because I want to make

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<v Speaker 1>everybody healthier. Like I can't pick up all the starfishes

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<v Speaker 1>off the beach. I can only help one or two.

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<v Speaker 1>And making fitness more excess bowl for more people. That's

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<v Speaker 1>something she really cares about because she knows most people

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<v Speaker 1>can't afford to spend hundreds of dollars on a trainer

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<v Speaker 1>every month. She's still working with some clients on the side,

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<v Speaker 1>and she made time for me for the story, but

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<v Speaker 1>these days she's spending most of her energy building a

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<v Speaker 1>startup that designs these public spaces where people can work

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<v Speaker 1>out for free, kind of like these jungle gyms for adults.

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<v Speaker 1>So Jens sounds smart here. Even though technology is starting

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<v Speaker 1>to encroach into her former career, as a personal trainer.

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<v Speaker 1>She is moving on to a new career. Yeah, although

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<v Speaker 1>she just kept laughing it off when I pressed her

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<v Speaker 1>about this possibility of AI personal trainers living up to

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<v Speaker 1>their promise. So you see how these guyshets coming into

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<v Speaker 1>the market and you don't feel threatened. No, I mean,

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<v Speaker 1>I'm excited. Trainers want to see people out there exercising.

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<v Speaker 1>So whatever is getting people off the couch. And I'm

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<v Speaker 1>pretty sure any trainer you interview will say this, anything

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<v Speaker 1>that gets people off the couch, we're excited about out.

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<v Speaker 1>Do you talk about this with your friends who are

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<v Speaker 1>trainers to about some of the gadgets that are coming

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<v Speaker 1>we lack it. Yeah, why do you laugh? Tell me

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<v Speaker 1>why you laugh? Because we can tell you pretty accurately

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<v Speaker 1>when you're when you're not going to be wearing that

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<v Speaker 1>fit bit anymore. Okay, when you're gonna stop using it,

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<v Speaker 1>and we can tell you how it's going to fail,

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<v Speaker 1>and then we just we laugh. Yeah, tell me tell

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<v Speaker 1>me more. We just know when that thing is when

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<v Speaker 1>you're going to get bored of it. We know that

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<v Speaker 1>something that helps you track what you're eating, that's if

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<v Speaker 1>you're not motivated intrinsically well, look at what the trends

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<v Speaker 1>we see today, like what are millennials spending their money

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<v Speaker 1>and resources on experiences? Right? So that's something that we

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<v Speaker 1>share with another human being. The more tech that comes

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<v Speaker 1>into our life, the more we seem to value in

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<v Speaker 1>person human experiences. As I continue to meet up with Jen,

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<v Speaker 1>more companies sent me review copies of their areous devices.

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<v Speaker 1>I love gadgets, and this was like Christmas for me,

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<v Speaker 1>although my wife wasn't very happy with all the boxes

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<v Speaker 1>and the cords that were piling up in our bedroom,

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<v Speaker 1>and she said, I looked pretty ridiculous each time I

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<v Speaker 1>went running wearing one of these gadgets. Stop, he looks psychotic.

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<v Speaker 1>What do you think You've never looked cuter? What? What

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<v Speaker 1>is this? So? This is my what band, This is

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<v Speaker 1>my Polar running watch, this is my fifthit, this is

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<v Speaker 1>my Atlas strength training watch, and this is my move

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<v Speaker 1>activity tracker. And then this is this is that I

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<v Speaker 1>hate that thing. Now. I'm not going to go over

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<v Speaker 1>all seventeen devices that I tested for the story today,

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<v Speaker 1>but one of the first devices that him in the

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<v Speaker 1>mail was a Bluetooth connected headset called v that connects

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<v Speaker 1>to an app and it's specifically made for runners. This

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<v Speaker 1>headset has a special technology inside the earbud that detects

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<v Speaker 1>your heart rate. Oh my god, I've learned something today.

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<v Speaker 1>I really had no idea that you could detect a

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<v Speaker 1>heart rate from someone's ear. Yeah. And what makes it

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<v Speaker 1>really cool, though, is that it uses all that information

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<v Speaker 1>on your heart rate and also your speed to give

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<v Speaker 1>you real time feedback on how you're running. I took

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<v Speaker 1>it out on a three mile run in my neighborhood

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<v Speaker 1>the day it came in the mail. I'm v your

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<v Speaker 1>new personal trainer. I sense your heart rate, your steps,

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<v Speaker 1>and a whole lot of other things a human trainer can't.

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<v Speaker 1>That you just heard is the AI personal trainer that

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<v Speaker 1>talks to you and she chimes in when she wants

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<v Speaker 1>you to push harder. Come on, diet deep, you're about

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<v Speaker 1>to break your and remembers how you did in previous runs.

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<v Speaker 1>Last workout, you got a bit fatigued. I'm only bring

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<v Speaker 1>it up because your body might still be recovering. My

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<v Speaker 1>favorite thing about this is that my name Aki was

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<v Speaker 1>in a preset name in the app, so I had

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<v Speaker 1>to choose a nickname, which led to funny encouragements like

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<v Speaker 1>this nice work. Warrior. Henceforth ye shall be known as Warrior.

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<v Speaker 1>I think I'm retiring the name of Okay, so Warrior,

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<v Speaker 1>what was your verdict? Ultimately, I didn't feel like the

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<v Speaker 1>really pushed me and motivated me to train harder the

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<v Speaker 1>way I really hoped it might. Um, it's a very

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<v Speaker 1>new product and there's still not a whole lot it

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<v Speaker 1>can do, especially for something that costs two hundred fifty dollars.

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<v Speaker 1>So at this point I would call it more of

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<v Speaker 1>a chatty companion to keep you amused through a boring run,

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<v Speaker 1>So you wouldn't call it a coach or a trainer.

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<v Speaker 1>Now I don't think so, Okay. So one point for Jen,

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<v Speaker 1>zero for the machines. Okay, So next up, you tried

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<v Speaker 1>something called the Lumo Run. Yeah. It's a little clip

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<v Speaker 1>installed with motion sensors to clip onto the back of

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<v Speaker 1>your shorts. It costs hundred dollars and appears with an

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<v Speaker 1>app after your runs. It shows you how well you

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<v Speaker 1>fared on five very specific measures of your running form,

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<v Speaker 1>and how did you do well? It told me that

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<v Speaker 1>I scored too high on this measure called your bounce,

0:13:16.080 --> 0:13:18.440
<v Speaker 1>which is how much your body moves up and down

0:13:18.480 --> 0:13:21.599
<v Speaker 1>while you run. And to help me correct that, the

0:13:21.640 --> 0:13:24.480
<v Speaker 1>apple so show me a video of this exercise called

0:13:24.600 --> 0:13:28.040
<v Speaker 1>squat shuffles that's supposed to help me bounce less over time.

0:13:28.160 --> 0:13:31.080
<v Speaker 1>So this was really like having a running coach. Yeah,

0:13:31.080 --> 0:13:34.120
<v Speaker 1>this is actually far more feedback than when I got

0:13:34.160 --> 0:13:37.920
<v Speaker 1>with Jen. Her feedback was just a little bit more generic, like,

0:13:38.000 --> 0:13:40.000
<v Speaker 1>you know, pump up your knees on these hills or

0:13:40.080 --> 0:13:43.400
<v Speaker 1>take smaller steps. So Jen was never this quantitative. No,

0:13:43.640 --> 0:13:48.080
<v Speaker 1>but I should say getting these stats wasn't very motivating,

0:13:48.480 --> 0:13:50.720
<v Speaker 1>and it really look at the app after my runs

0:13:50.720 --> 0:13:53.080
<v Speaker 1>and think like, oh man, I can't wait to go

0:13:53.240 --> 0:13:55.880
<v Speaker 1>my next run to fix my bounce. Okay, so the

0:13:55.960 --> 0:13:58.360
<v Speaker 1>Loomo run not really for you, No, I don't think

0:13:58.400 --> 0:14:01.760
<v Speaker 1>so okay, So one more point for Jen. Still zero

0:14:01.840 --> 0:14:07.840
<v Speaker 1>for the machines. So acky? I mean, Warrior, what is

0:14:07.880 --> 0:14:11.120
<v Speaker 1>the most expensive gadget that you tried? Well, Brad, you

0:14:11.160 --> 0:14:15.720
<v Speaker 1>are a big basketball thing and a lot of NBA stars,

0:14:15.760 --> 0:14:19.800
<v Speaker 1>including DeAndre Jordan's, have been seen wearing this black wristband.

0:14:21.040 --> 0:14:23.280
<v Speaker 1>It has a heart rate monitor on the back of

0:14:23.320 --> 0:14:26.560
<v Speaker 1>the device. It's called the Whoop and they started by

0:14:26.840 --> 0:14:30.720
<v Speaker 1>only selling to professional sports teams at first, but last

0:14:30.760 --> 0:14:34.800
<v Speaker 1>year they started selling to ordinary consumers. To This device

0:14:34.880 --> 0:14:40.360
<v Speaker 1>costs five dollars for this small wristband. Yeah, when you

0:14:40.640 --> 0:14:43.880
<v Speaker 1>look at the hardware, it doesn't really look a whole

0:14:43.920 --> 0:14:46.680
<v Speaker 1>lot different from some of the other activity tracerds that

0:14:46.720 --> 0:14:49.840
<v Speaker 1>I tried um For example, the Fitbit Charged two. I

0:14:49.920 --> 0:14:52.480
<v Speaker 1>tested that too, and it's a wristband with all day

0:14:52.520 --> 0:14:55.520
<v Speaker 1>heart rate monitoring. But what's really cool about the Whoop

0:14:55.720 --> 0:14:59.440
<v Speaker 1>is the software. Unlike the Fitbit, it crunches all the

0:14:59.520 --> 0:15:01.880
<v Speaker 1>data that it collects to give you advice that you

0:15:01.920 --> 0:15:05.520
<v Speaker 1>can actually use, like what give us an example. So,

0:15:05.760 --> 0:15:09.400
<v Speaker 1>one score it calculates is this thing called the recovery score,

0:15:09.800 --> 0:15:11.840
<v Speaker 1>and it shows up on an app that pairs with

0:15:11.880 --> 0:15:14.480
<v Speaker 1>the device first thing in the morning after you wake up.

0:15:14.960 --> 0:15:17.320
<v Speaker 1>It's looking at things like how much sleep you got

0:15:17.360 --> 0:15:21.320
<v Speaker 1>and how much stress your body is currently under using

0:15:21.320 --> 0:15:24.720
<v Speaker 1>this relatively new heart rate metric that's becoming popular in

0:15:24.760 --> 0:15:28.360
<v Speaker 1>sports medicine. And if your score is high, it tells

0:15:28.360 --> 0:15:30.720
<v Speaker 1>you that your body is ready for hard workout for

0:15:30.760 --> 0:15:33.680
<v Speaker 1>the day. But you know, let's say you didn't sleep

0:15:33.760 --> 0:15:36.440
<v Speaker 1>all the night before and your score is low, then

0:15:36.640 --> 0:15:39.360
<v Speaker 1>it'll tell you to take it easy. I'm looking myself

0:15:39.400 --> 0:15:41.720
<v Speaker 1>forward to a low score. But tell me how it

0:15:41.760 --> 0:15:45.640
<v Speaker 1>all competes with the human and the picture. Chin. Well,

0:15:45.920 --> 0:15:49.160
<v Speaker 1>she didn't keep detailed stats on my sleep, but she

0:15:49.280 --> 0:15:52.200
<v Speaker 1>did calibrate or workouts together if she thought I looked

0:15:52.240 --> 0:15:54.840
<v Speaker 1>tired or if she knew that I was still sore

0:15:54.880 --> 0:15:58.000
<v Speaker 1>from previous workout. Okay, so can we score one point

0:15:58.000 --> 0:16:01.040
<v Speaker 1>for the gadget here? I think so, although I do

0:16:01.160 --> 0:16:03.400
<v Speaker 1>have to say this kind of advice on when to

0:16:03.520 --> 0:16:06.440
<v Speaker 1>take it easy isn't really what I needed the most,

0:16:06.440 --> 0:16:09.160
<v Speaker 1>help with what I really wanted, with something that pushed

0:16:09.160 --> 0:16:11.640
<v Speaker 1>me harder. You know, something that motivated me to work

0:16:11.680 --> 0:16:16.280
<v Speaker 1>harder than I ever could alone. Coming up? Ok, you

0:16:16.360 --> 0:16:19.120
<v Speaker 1>will share the device she liked the most and whether

0:16:19.200 --> 0:16:21.840
<v Speaker 1>she liked it enough to replace her personal trainer, Jen.

0:16:22.280 --> 0:16:32.920
<v Speaker 1>That'll be right after this word from our sponsor. You

0:16:33.000 --> 0:16:35.480
<v Speaker 1>know where you want to be. Red hat has the

0:16:35.520 --> 0:16:38.840
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0:16:39.320 --> 0:16:43.160
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0:16:43.200 --> 0:16:48.640
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0:16:48.960 --> 0:16:54.560
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0:16:54.560 --> 0:16:57.800
<v Speaker 1>hat dot com slash open Tech to learn more. Red

0:16:57.840 --> 0:17:06.760
<v Speaker 1>Hat the open technology to help you realize your vision. Hi. Everyone,

0:17:06.880 --> 0:17:10.320
<v Speaker 1>it's Pierre producer here on Decrypted. Thanks to all of

0:17:10.359 --> 0:17:13.520
<v Speaker 1>you sending us your stories. We absolutely love hearing from you.

0:17:13.960 --> 0:17:16.800
<v Speaker 1>This week, we got one message that was so relevant

0:17:16.800 --> 0:17:19.000
<v Speaker 1>to this episode we just had to share it with

0:17:19.040 --> 0:17:22.159
<v Speaker 1>all of you. Hi Decrypted. My name is Jenny and

0:17:22.200 --> 0:17:24.560
<v Speaker 1>I'm a personal trainer in New York City. I hear

0:17:24.600 --> 0:17:27.879
<v Speaker 1>all the time people saying that apps are going to

0:17:28.000 --> 0:17:31.360
<v Speaker 1>take the place of personal trainers. And while I think

0:17:31.359 --> 0:17:36.000
<v Speaker 1>fitness apps are a great addition to somebody's workout program,

0:17:36.040 --> 0:17:38.679
<v Speaker 1>they are certainly not there at five o'clock in the

0:17:38.720 --> 0:17:41.560
<v Speaker 1>morning holding you accountable if you don't get out of bed.

0:17:41.920 --> 0:17:46.520
<v Speaker 1>Personal trainers are personal. They listen to people's woes, prop

0:17:46.560 --> 0:17:49.600
<v Speaker 1>them up when they're feeling down, and keep them accountable

0:17:49.760 --> 0:17:53.480
<v Speaker 1>when they eat ice cream for breakfast. Not only that,

0:17:53.960 --> 0:17:57.320
<v Speaker 1>but personal trainers are standing over their client, making sure

0:17:57.359 --> 0:18:01.119
<v Speaker 1>they are not hurting themselves, counting every rep and making

0:18:01.160 --> 0:18:03.600
<v Speaker 1>sure that they finished the entire workout, no matter how

0:18:03.640 --> 0:18:07.000
<v Speaker 1>tired or lazy they might feel. Show me an app

0:18:07.040 --> 0:18:09.800
<v Speaker 1>that does all these things, and I will stand down

0:18:15.119 --> 0:18:18.080
<v Speaker 1>welcome back to DECRYPTI. Before the break, we went through

0:18:18.080 --> 0:18:20.960
<v Speaker 1>the v the Loumo Run, and the Whoop, all new

0:18:21.000 --> 0:18:23.399
<v Speaker 1>fitness devices that aim to be more useful than a

0:18:23.400 --> 0:18:27.280
<v Speaker 1>fitbit or an Apple Wash. And when I eventually settled

0:18:27.280 --> 0:18:30.919
<v Speaker 1>on my number one pick, naturally, there was one person

0:18:31.000 --> 0:18:34.639
<v Speaker 1>I really wanted to check my work with. Okay, they

0:18:34.720 --> 0:18:37.160
<v Speaker 1>wanted to be pretty tight, like, so it's good, it's

0:18:37.160 --> 0:18:43.760
<v Speaker 1>actually it's good. Okay, anything for the podcast doctor, how's

0:18:43.800 --> 0:18:49.119
<v Speaker 1>that right there? That's all right, okay, full disclosure. What

0:18:49.160 --> 0:18:51.760
<v Speaker 1>you're listening to here is me putting on the move

0:18:52.080 --> 0:18:54.720
<v Speaker 1>hr burn, which is a black strap that you wear

0:18:54.720 --> 0:18:58.119
<v Speaker 1>in your chest. It measures your heart right, and it

0:18:58.160 --> 0:19:01.320
<v Speaker 1>appears with the company's app that talks to you, coaching

0:19:01.320 --> 0:19:05.280
<v Speaker 1>you through difficult outdoor runs where you alternate between sprinting

0:19:05.400 --> 0:19:09.160
<v Speaker 1>and jogging, and also through these indoor exercise classes. Right.

0:19:09.200 --> 0:19:12.520
<v Speaker 1>I tried the intermediate level indoor exercise, which had me

0:19:12.600 --> 0:19:18.680
<v Speaker 1>start out with some jumping jacks. Let's go keeps game time.

0:19:21.880 --> 0:19:26.840
<v Speaker 1>Make sure your legs land outside of your hips. Now

0:19:26.880 --> 0:19:31.199
<v Speaker 1>that computer voice you just heard is computerized trainer. And

0:19:31.200 --> 0:19:33.480
<v Speaker 1>what I really liked about it is, you know, since

0:19:33.480 --> 0:19:36.359
<v Speaker 1>she's following your heart rate collected through the chest straps,

0:19:36.440 --> 0:19:39.480
<v Speaker 1>she knows how hard you're working. She tells you where

0:19:39.480 --> 0:19:42.440
<v Speaker 1>your heart rate should be during each exercise. For example,

0:19:42.560 --> 0:19:45.520
<v Speaker 1>zone four means you're working really hard and zone one

0:19:45.640 --> 0:19:48.439
<v Speaker 1>means you're basically resting. And that all means when you're

0:19:48.480 --> 0:19:51.080
<v Speaker 1>not meeting the goals, the app yells at you to

0:19:51.200 --> 0:19:57.320
<v Speaker 1>work harder. Zone three bush harder to reach the target,

0:19:58.440 --> 0:20:01.320
<v Speaker 1>So the targets none for zone too. Time to push,

0:20:01.440 --> 0:20:11.480
<v Speaker 1>Let's do, let's go. You're almost at the finish line.

0:20:11.680 --> 0:20:14.040
<v Speaker 1>And after thirty three minutes of this, I've never been

0:20:14.080 --> 0:20:16.399
<v Speaker 1>more thankful that this is a podcast and not a

0:20:16.480 --> 0:20:21.360
<v Speaker 1>video show. I was drenched in sweat stadium. You're doing

0:20:21.359 --> 0:20:30.680
<v Speaker 1>great Zone four. I can keep it up in front

0:20:30.720 --> 0:20:38.240
<v Speaker 1>of us. Good Brad, This is the hardest time before

0:20:38.400 --> 0:20:50.160
<v Speaker 1>the end is insightful. Way to go nice, So, Brad,

0:20:50.200 --> 0:20:52.320
<v Speaker 1>would you think you know? I love the data collection,

0:20:52.359 --> 0:20:55.960
<v Speaker 1>I love the workout in designed for me. The AI itself,

0:20:56.119 --> 0:20:59.400
<v Speaker 1>the motivational tool, I found it funny. I don't think

0:20:59.440 --> 0:21:03.520
<v Speaker 1>it quite sells the those motivational aspects of it. Um

0:21:03.680 --> 0:21:05.560
<v Speaker 1>you know it's AI has a long way to go

0:21:05.680 --> 0:21:09.840
<v Speaker 1>before I could mimic, the intonations, the humanity of actual

0:21:09.880 --> 0:21:12.160
<v Speaker 1>people who are trying to get you to work harder. Yeah,

0:21:12.240 --> 0:21:19.439
<v Speaker 1>definitely so aky. What's the final verdict. Well, over the

0:21:19.520 --> 0:21:22.560
<v Speaker 1>course of my sessions with Jen and also over the

0:21:22.600 --> 0:21:26.200
<v Speaker 1>course of my workouts with these various devices, I've lost

0:21:26.520 --> 0:21:29.960
<v Speaker 1>almost seven pounds, which has been enough for me to

0:21:30.000 --> 0:21:31.919
<v Speaker 1>get back to the body that I had when I

0:21:31.960 --> 0:21:35.040
<v Speaker 1>was single. At the beginning and the end of this project,

0:21:35.160 --> 0:21:38.000
<v Speaker 1>I ran a one point five mile sprint. This is

0:21:38.040 --> 0:21:41.800
<v Speaker 1>to test my cardiovascular strength, and I've gotten a whole

0:21:41.880 --> 0:21:45.679
<v Speaker 1>minute faster, which is pretty cool. And I don't know,

0:21:45.840 --> 0:21:48.600
<v Speaker 1>I just feel lighter on my feet, my clothes fit better.

0:21:49.000 --> 0:21:52.040
<v Speaker 1>My wife says that I seem more energized and in

0:21:52.080 --> 0:21:55.080
<v Speaker 1>a better mood every day. So I think this has

0:21:55.119 --> 0:21:58.600
<v Speaker 1>been a pretty successful experiment for me. So, Aki, do

0:21:58.640 --> 0:22:00.600
<v Speaker 1>you think it was Jen the the trick or the

0:22:00.640 --> 0:22:04.400
<v Speaker 1>move gadget? So thinking about this, and I didn't really

0:22:04.400 --> 0:22:07.600
<v Speaker 1>set this up as a scientific experiment. I was trying

0:22:07.640 --> 0:22:10.040
<v Speaker 1>all the gadgets at the same time, and I was

0:22:10.080 --> 0:22:13.560
<v Speaker 1>also training with Jen, so it's hard to objectively tell. Okay, Well,

0:22:13.560 --> 0:22:16.280
<v Speaker 1>granting that this is subjective, let me put it this way,

0:22:16.320 --> 0:22:18.640
<v Speaker 1>if you had to choose between three months with Jen

0:22:19.280 --> 0:22:22.280
<v Speaker 1>or using the Move gadget, which would you do? Well.

0:22:22.600 --> 0:22:26.159
<v Speaker 1>Jen is expensive. She charges a hundred seventy five dollars

0:22:26.280 --> 0:22:30.520
<v Speaker 1>per session, whereas the Move costs just sixty dollars for

0:22:30.600 --> 0:22:32.880
<v Speaker 1>the chess trap and the app that comes with it

0:22:32.920 --> 0:22:36.640
<v Speaker 1>is free. So at my current salary, I would probably

0:22:36.720 --> 0:22:39.440
<v Speaker 1>choose the gadget. Um, it made me work really hard

0:22:39.480 --> 0:22:41.919
<v Speaker 1>and the exercises I found were really fun. Okay, well,

0:22:41.960 --> 0:22:44.199
<v Speaker 1>let's take price out of the equation, because this is

0:22:44.240 --> 0:22:46.520
<v Speaker 1>about the future of a certain kind of work. If

0:22:46.560 --> 0:22:48.640
<v Speaker 1>all things were equal and price was not a concern,

0:22:48.920 --> 0:22:51.840
<v Speaker 1>which would you do? I would hire Jen and a heartbeat,

0:22:51.960 --> 0:22:54.639
<v Speaker 1>yeah for sure. I Mean working out with her was

0:22:54.840 --> 0:22:59.080
<v Speaker 1>definitely more fun, more motivating than having this computer voice

0:22:59.119 --> 0:23:02.080
<v Speaker 1>talk at me like you talking about earlier. And the

0:23:02.119 --> 0:23:05.440
<v Speaker 1>workouts I did with her were just a lot more variable,

0:23:05.560 --> 0:23:08.399
<v Speaker 1>you know. Um we did pull ups and stairs prints,

0:23:08.520 --> 0:23:11.239
<v Speaker 1>and in our last session together we went on this

0:23:11.359 --> 0:23:15.359
<v Speaker 1>ten mile run along them marin Headlands, and she even

0:23:15.359 --> 0:23:18.040
<v Speaker 1>gave me cool tips like, um, what and when to

0:23:18.160 --> 0:23:21.160
<v Speaker 1>eat for the half marathon that I'm training for. Right.

0:23:21.160 --> 0:23:23.920
<v Speaker 1>But the thing is, I mean we can reliably say

0:23:23.960 --> 0:23:26.680
<v Speaker 1>that the AI in devices like the Move gadget will

0:23:26.680 --> 0:23:29.000
<v Speaker 1>get better. Right, So, over time, do you think Jen's

0:23:29.080 --> 0:23:32.040
<v Speaker 1>job is at risk? I think so, Yeah, maybe way

0:23:32.080 --> 0:23:34.800
<v Speaker 1>down the road at least for now, though you would

0:23:34.840 --> 0:23:37.840
<v Speaker 1>need a lot of disposable income to train with Jen

0:23:37.920 --> 0:23:40.919
<v Speaker 1>in the first place. And as long as Jen is

0:23:41.320 --> 0:23:44.120
<v Speaker 1>much better than these devices for people who don't really

0:23:44.119 --> 0:23:46.440
<v Speaker 1>have to worry about money that much, I don't think

0:23:46.480 --> 0:23:50.200
<v Speaker 1>these devices pose a direct threat to Jen. But um,

0:23:50.240 --> 0:23:53.040
<v Speaker 1>maybe if you're like a group instructor, or you're a

0:23:53.080 --> 0:23:57.200
<v Speaker 1>personal trainer, not as great and not as dedicated as Jen,

0:23:58.119 --> 0:24:01.880
<v Speaker 1>you might be more at risk. Certainly, the six dollar

0:24:02.000 --> 0:24:05.360
<v Speaker 1>Move is a lot cheaper than having a monthly gym membership,

0:24:05.400 --> 0:24:08.280
<v Speaker 1>for example. Yeah, totally. In fact, I wonder when Jim's

0:24:08.280 --> 0:24:11.240
<v Speaker 1>will start giving us these devices, right or maybe offering

0:24:11.280 --> 0:24:14.280
<v Speaker 1>certain kinds of tools as a competitive advantage. So ack,

0:24:14.480 --> 0:24:16.840
<v Speaker 1>this whole product category is still in its early days.

0:24:16.920 --> 0:24:19.000
<v Speaker 1>What do you think is coming Well, First of all,

0:24:19.040 --> 0:24:22.240
<v Speaker 1>I think the Move is already pretty cheap at sixty dollars,

0:24:22.280 --> 0:24:23.960
<v Speaker 1>but I think that price is going to come down

0:24:24.040 --> 0:24:26.520
<v Speaker 1>a lot with products with a lot more features than

0:24:26.520 --> 0:24:28.440
<v Speaker 1>the Move. In the coming years. You know, for example,

0:24:28.440 --> 0:24:31.800
<v Speaker 1>the Whoop band five dollars, that's definitely going to get

0:24:31.840 --> 0:24:35.440
<v Speaker 1>cheaper over time. So I think that's pretty exciting. Brad,

0:24:35.440 --> 0:24:37.480
<v Speaker 1>What do you think I look forward to the day

0:24:37.480 --> 0:24:40.199
<v Speaker 1>when this isn't even a product category where it's just

0:24:40.240 --> 0:24:43.359
<v Speaker 1>your clothes, it's your shoes that are monitoring your health,

0:24:43.400 --> 0:24:47.800
<v Speaker 1>that are maybe even recommending new kinds of exercises, are hard, work, harder,

0:24:47.920 --> 0:24:50.679
<v Speaker 1>how to run properly. I do think this sort of

0:24:50.720 --> 0:24:52.919
<v Speaker 1>fades into the background of the other things that we

0:24:53.000 --> 0:24:55.240
<v Speaker 1>surround ourselves with, and then we'll kind of just take

0:24:55.280 --> 0:24:58.080
<v Speaker 1>it for granted. You know, I told Jen about my

0:24:58.160 --> 0:25:03.200
<v Speaker 1>conclusion of ultimate ly liking training with her better, but

0:25:03.520 --> 0:25:06.160
<v Speaker 1>you know, probably buying the gadget if I were still

0:25:06.200 --> 0:25:07.879
<v Speaker 1>at my current salary. And you want to know what

0:25:07.960 --> 0:25:11.240
<v Speaker 1>she said. What did she say? She said, she bets

0:25:11.320 --> 0:25:13.359
<v Speaker 1>that I'm not going to be using the gadget in

0:25:13.359 --> 0:25:16.679
<v Speaker 1>another three months, but she was excited for me, and

0:25:16.720 --> 0:25:19.320
<v Speaker 1>she said she might be recommending the move to her

0:25:19.359 --> 0:25:23.000
<v Speaker 1>clients for them to train on their own in the future. Okay,

0:25:23.000 --> 0:25:25.320
<v Speaker 1>how about this, Let's check in in the fall and

0:25:25.400 --> 0:25:28.080
<v Speaker 1>see if either one of us are using these gadgets. Yeah,

0:25:28.080 --> 0:25:35.639
<v Speaker 1>we'll see We'll check in September. And that's it for

0:25:35.840 --> 0:25:39.159
<v Speaker 1>this week's episode of Decrypted. Thanks for listening. If you

0:25:39.200 --> 0:25:41.840
<v Speaker 1>have a story about your job as it relates to automation,

0:25:42.119 --> 0:25:44.159
<v Speaker 1>you can record a voice message and send it to

0:25:44.280 --> 0:25:47.480
<v Speaker 1>us at Decrypted at Bloomberg dot net. Also, I'm on

0:25:47.520 --> 0:25:51.280
<v Speaker 1>Twitter at at brad Stone and I'm at Akita seven.

0:25:51.640 --> 0:25:54.840
<v Speaker 1>If you haven't already, please subscribe to our show wherever

0:25:55.000 --> 0:25:57.840
<v Speaker 1>you get your podcasts, and while you're there. We say

0:25:57.880 --> 0:26:00.840
<v Speaker 1>this every week because it is so importan and we

0:26:00.920 --> 0:26:03.000
<v Speaker 1>really do hope you'll take a minute to leave us

0:26:03.000 --> 0:26:05.720
<v Speaker 1>a rating and a review. It does so much to

0:26:05.720 --> 0:26:07.760
<v Speaker 1>help get our show in fort of more people. This

0:26:07.800 --> 0:26:11.119
<v Speaker 1>episode was produced by Pia gut Kari, Liz Smith and

0:26:11.160 --> 0:26:14.760
<v Speaker 1>Magnus Hendrickson. A special thanks to Nico Grant who helped

0:26:14.840 --> 0:26:17.280
<v Speaker 1>us with some of the reporting and research for today's show,

0:26:17.520 --> 0:26:20.600
<v Speaker 1>and of course a truly special thanks to the Warrior.

0:26:21.920 --> 0:26:24.520
<v Speaker 1>And check out my print feature and my video on

0:26:24.600 --> 0:26:27.200
<v Speaker 1>these gadgets, which you can find on Bloomberg dot com

0:26:27.280 --> 0:26:32.280
<v Speaker 1>slash Technology. Alec McCabe is head of Bloomberg Podcasts. We'll

0:26:32.320 --> 0:26:45.440
<v Speaker 1>see you next week. Decrypted is brought to you by

0:26:45.480 --> 0:26:48.840
<v Speaker 1>red Hat, whose broad portfolio of open source technologies for

0:26:48.880 --> 0:26:51.359
<v Speaker 1>the enterprise helps you get from where you are to

0:26:51.440 --> 0:26:54.919
<v Speaker 1>where you want to be. Red Hat the open technology

0:26:54.960 --> 0:26:57.720
<v Speaker 1>to help you realize your vision. Learn more at red

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<v Speaker 1>hat dot com, slash open Tech