Robots at Home and Work: Job Shifts and the Rise of NEO

Eric Marquette

Imagine it: you come home from work and—poof—all the chores are already done. Your laundry’s folded, there’s dinner waiting, and you haven’t even set foot in the house. Not because you hired someone, but because you’ve got a humanoid robot that costs less than a mid-range car. Sounds like science fiction, right? But honestly, that future... it’s arriving sooner than you might think.

Kaori Jinsenji

It’s almost here. Just two years away, maybe even closer for some. I can already picture the discussions at family dinners: “Do we need a dishwasher or a home robot?” But, Eric, this story isn’t just about nifty gadgets helping fold clothes—it’s about a tidal wave coming for how we work, what we do, and who gets left behind. We’re standing, really, on the edge of this cliff, aren’t we?

Eric Marquette

Yeah, just look at the numbers—they’re almost hard to wrap your head around. By 2030, about 30% of all U.S. jobs could be totally automated. That’s, what, nearly a third of the workforce. And over 14 million jobs worldwide have already disappeared directly because of AI, as of early 2025. The World Economic Forum was warning us way back—85 million jobs displaced just by 2025.

Kaori Jinsenji

That’s so many people... and when you dig into it, it’s not those rare, highly technical jobs being snapped up by robots first. It’s the everyday roles: clerical assistants, administrative work, even basic bank tellers and data entry. Secretaries. Cashiers—oh, they predict cashier jobs will drop by 11% before you and I even blink. That’s more than 350,000 people, gone from the registers. And bank tellers, too—around 15% fewer over the next decade. My neighborhood branch is already half ATMs and screens!

Eric Marquette

Absolutely. And, oddly, even entry-level coders are at risk. I keep seeing students flocking into these coding bootcamps, and AI is going to shake up that whole field in a way nobody expected. We keep hearing, “learn to code!” But what they’re not telling you is, repetitive coding tasks are more vulnerable than, say, skilled trades or even truck driving, simply because AI learns best from huge piles of digitized data. Not—uh, not driving on bumpy roads.

Kaori Jinsenji

You know, Eric, your old story always comes to mind—the way you produced your first podcast episodes doing everything manually. Editing, sound mixing, scheduling guests, writing intros—every step. What do you think, would that job even exist today?

Eric Marquette

Honestly... probably not. Back then it was me, two microphones on borrowed equipment, and a lot of mistakes—too many late nights swearing at audio software. Now, even basic podcast editing’s handled by AI. I feel like half of what I did then is automated now. So, yeah, if my first job was entry-level podcast producer? That’s exactly the sort of thing facing the chop, unless you find a way to work with the tech, not against it.

Kaori Jinsenji

And that really connects to what we talked about in Episode 4, right? About redefining value in our work—not just “earning jobs,” but those parts of our lives, like caregiving or volunteering, that AI can’t—at least not yet—replace. We need a bigger, more human way to rethink “worth” in these changing times.

Eric Marquette

What’s wild is, not every job’s doomed. Some are actually booming. Take healthcare: nurse practitioner jobs, for instance, are expected to shoot up by 52% between now and 2033! That’s just mind-boggling growth. And it’s because machines still struggle with empathy, judgment, that gentle touch a good nurse brings to a patient’s bedside.

Kaori Jinsenji

Exactly. There’s this “human edge” jobs have, right? Personal care, therapy, anything where you need to listen and notice little things—robots are a long way off from that. Creative roles, too. Writing, art, music, all these get a lot of AI attention but only a 4% automation risk. Eric, I know you’ve always said creativity can be messy and illogical. No clean data sets there!

Eric Marquette

Oh yeah, creative work’s chaotic by nature. A spreadsheet can’t capture inspiration—or at least, not most of the time. Even management, too: just a 3% risk of being totally automated. There’s still no substitute for strategic thinking, big picture decisions, wrangling with people’s personalities. Machines don’t do office politics... yet.

Kaori Jinsenji

And then there’s the skilled trades—carpenters, electricians, construction workers. Construction might be the most “AI-proof” field, but not because it’s too technical, weirdly. It’s because the industry just isn’t very digitized yet—still so many things are done by hand, by eye. The World Economic Forum says it: not everything easily captured by data gets automated soon.

Eric Marquette

That’s the twist—manual labor has this resilience. Meanwhile, there’s explosive demand for AI specialists themselves, and cybersecurity jobs are projected to grow by over 30%! It’s a bit ironic: automation wipes out some roles but spawns whole new ones in tech.

Kaori Jinsenji

And agriculture, don’t forget that. The agricultural robots market is just... wow. It’s about $25 billion in 2025 and set to triple by 2030. Robotics, drones, smart harvesters—they’re stepping in because so many farms can’t find enough workers. My aunt in Japan—she’s been a rice farmer for decades, totally old school. But now? She’s got drones spraying fertilizer, mapping her fields. She told me last year she never imagined working alongside robots, but now she’s teaching younger farmers to mix centuries-old growing wisdom with tech.

Eric Marquette

That’s a brilliant image—majestic, ancient rice paddies, and then a tiny whirring drone flitting by. It’s progress you can actually see, not just software humming in some server rack somewhere. Most of these robots handle tasks like mapping, spraying, or carrying heavy loads. But—well, except for drones, which are already mainstream, full autonomy on the farm is still a few years off. A lot is still semi-automated, with farmers very much hands-on.

Kaori Jinsenji

And that blend—ancient tradition with new tech—maybe that’s where the hope is. What if we thought of AI not as the end of certain jobs but as a way to amplify what makes us uniquely human, as you put it?

Eric Marquette

Speaking of “new tech,” this brings us to the main event—NEO. This humanoid robot from Norway’s 1X Technologies, honestly, it sounds straight out of a movie. Stands five foot six, weighs just under 70 pounds, and for $20,000—about the price of a new Toyota—you get a robot housemate who can, in theory, do it all: fold your laundry, organize your shelves, take out the rubbish, even open the door for guests. Kaori, would you ever trust a robot with your keys?

Kaori Jinsenji

Hmm... I’d be more worried about giving it my favorite tea cups! NEO is a marvel though—22 degrees of freedom in each hand, which means, in theory, it can pour your tea, but can it appreciate the flavor? I keep thinking: could NEO be programmed for gratitude, for intention? We talk so much on this show about slow, mindful living. Would my robot roommate “thank” the dishes as it washed them, or would it just... scrub away?

Eric Marquette

You’re onto something, Kaori. For all the hype, NEO isn’t actually fully independent—at least, not yet. The Wall Street Journal tested it, and, um, NEO couldn’t perform a single household task by itself. Every action required “remote control” by a human operator—someone at 1X called a “Turing.” So, right now, it’s a lot more like—what, raising a toddler, maybe? The CEO literally called it that: you don’t just turn it on and walk away; you have to teach it, let it fail, watch it learn, all very hands-on.

Kaori Jinsenji

Sounds like parenting. Or, honestly, training a puppy. It’s fascinating—the promise is huge, but early adopters should expect mischief and mishaps, maybe even some robot stubbornness? Plus, there’s the question of access: $20,000 is a big price tag, even with a monthly subscription model. Do you think your laundry would ever actually get folded, Eric? Or would NEO spend most of its time being scolded for piling everything on the bed?

Eric Marquette

Ha! I’d probably just end up apologizing to the robot—“Sorry my socks are everywhere, mate.” But here’s what really gets me: even with all these advances, there remains this gap between chores performed and chores understood. Can we ever teach a machine not just to act, but to care? To bring intention, gratitude—you know, that spark of humanity, into what it does?

Kaori Jinsenji

That’s a question for another day, maybe, but it ties everything we’ve been talking about together. Whether it’s robots in the fields, in the hospitals, or in our living rooms, we’re living through a moment of paradox: jobs are changing or vanishing, new opportunities are being born, and the only certain thing is that nothing stays the same for long. So, before you go shopping for your first robot roommate, maybe ask yourself—what’s the job you want to keep for yourself, the work you believe only you can do?

Eric Marquette

Love that. And as we bring this episode to a close—remember, reskilling and upskilling are going to be everyone’s challenge. Human skills—empathy, creativity, dexterity—those are your most powerful assets in the age of machines. Universal basic income isn’t quite here, but the pressure’s on, and robots like NEO are only the beginning.

Kaori Jinsenji

So treat your work with intention, however big or small, and practice gratitude even as the world spins a little faster. With that, Eric—I’m grateful for our conversation, as always.

Eric Marquette

Likewise, Kaori. See you—and everyone listening—next episode! Until then, take care of yourselves, and your socks.