You’ve Got Too Much Stuff. 3 Smart Ways to Declutter Your Home by 2024.

SMUG MINIMALISTS often tout the “one in, one out” rule, a clutter-control practice that involves removing one item from your home any time you add another. But during the amped-up accumulation of the holidays, even typically type-A housekeepers can find themselves derailed and searching for ways to cull the excess. “So much stuff is coming into our homes this time of year, along with pressure to be jolly,” said Chicago-based professional organiser Sarah Parisi of the Clutter Curator. “It’s a natural time to declutter.”

To help expedite the process, here she and other home experts share tips for deaccessioning effectively.

What to Do If…You Want to Make Some Cash

Prioritise. “The biggest question I ask my clients is what’s worth their time,” said Washington, D.C.-based decluttering expert Jenny Albertini. “Identify which pieces offer the highest return and focus your efforts on [selling] those.”

Local auction houses or upscale online décor marketplaces—like Incollect, 1stDibs or Chairish—are Albertini’s go-to for unloading particularly valuable furnishings. For everything else, New York-based interior designer Amy Lau prefers Facebook Marketplace. “It’s quick and commission-free,” she said—and though managing the selling process can be laborious, the payoff is usually worth it.

Craving a truly clean slate? Check EstateSales.org to find a house-clearing company to prep your home for a monster tag sale. “They’ll keep a percentage of the profit,” explained Albertini. “But you do much less work.”

What to Do If…You Want to Do Good

“The best way to get rid of stuff is whatever gets it out of your house fastest—usually donation,” said Dallas-based decluttering expert Dana K. White. For that reason, she encourages clients to think of organisations like the Salvation Army as service providers—and not to get hung up on which charity feels like a “just-right” match. Start with local homeless shelters, churches or Goodwill, which is as “ubiquitous as Starbucks” and a “good option for generalised donations,” Albertini said. Animal shelters sometimes accept odds and ends—like pillows and bedding—that other organisations won’t.

If you’re ready to part with an item but believe someone else could cherish it, steer toward organisations like Humble Design. This nonprofit—which operates in Chicago, Cleveland, Detroit, San Diego and Seattle—collects donated furniture and household items either by drop-off or pick-up and stores the goods in their warehouse. Humble’s designers and volunteers later “shop” the warehouse to furnish homes for families emerging from homelessness. Similarly, to keep reusable household items from landing in landfills, Habitat for Humanity’s ReStores accept used furniture, appliances, housewares and building materials and resell them to the public at discount, using the profits to build affordable housing worldwide.

What to Do If…You Want to Do Almost Nothing

Does decluttering seem like just another chore? For clients who are loath to add another item to their to-do list, Albertini recommends OfferUp, a classified service akin to Facebook Marketplace that requires fewer fussy photos and descriptions. She also likes the consignment site Kaiyo; it will pick up, store, clean and deliver your furniture to its eventual buyer for a percentage of the sale price. For anything leftover, hire a hauling service like 1-800-Got-Junk, Dolly or Junk King, which do 100% of the heavy lifting for you. Bottom line, says Lau: “If you don’t love it or use it, lose it.”

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There has rarely, if ever, been so much tech talent available in the job market. Yet many tech companies say good help is hard to find.

What gives?

U.S. colleges more than doubled the number of computer-science degrees awarded from 2013 to 2022, according to federal data. Then came round after round of layoffs at Google, Meta, Amazon, and others.

The Bureau of Labor Statistics predicts businesses will employ 6% fewer computer programmers in 2034 than they did last year.

All of this should, in theory, mean there is an ample supply of eager, capable engineers ready for hire.

But in their feverish pursuit of artificial-intelligence supremacy, employers say there aren’t enough people with the most in-demand skills. The few perceived as AI savants can command multimillion-dollar pay packages. On a second tier of AI savvy, workers can rake in close to $1 million a year .

Landing a job is tough for most everyone else.

Frustrated job seekers contend businesses could expand the AI talent pipeline with a little imagination. The argument is companies should accept that relatively few people have AI-specific experience because the technology is so new. They ought to focus on identifying candidates with transferable skills and let those people learn on the job.

Often, though, companies seem to hold out for dream candidates with deep backgrounds in machine learning. Many AI-related roles go unfilled for weeks or months—or get taken off job boards only to be reposted soon after.

Playing a different game

It is difficult to define what makes an AI all-star, but I’m sorry to report that it’s probably not whatever you’re doing.

Maybe you’re learning how to work more efficiently with the aid of ChatGPT and its robotic brethren. Perhaps you’re taking one of those innumerable AI certificate courses.

You might as well be playing pickup basketball at your local YMCA in hopes of being signed by the Los Angeles Lakers. The AI minds that companies truly covet are almost as rare as professional athletes.

“We’re talking about hundreds of people in the world, at the most,” says Cristóbal Valenzuela, chief executive of Runway, which makes AI image and video tools.

He describes it like this: Picture an AI model as a machine with 1,000 dials. The goal is to train the machine to detect patterns and predict outcomes. To do this, you have to feed it reams of data and know which dials to adjust—and by how much.

The universe of people with the right touch is confined to those with uncanny intuition, genius-level smarts or the foresight (possibly luck) to go into AI many years ago, before it was all the rage.

As a venture-backed startup with about 120 employees, Runway doesn’t necessarily vie with Silicon Valley giants for the AI job market’s version of LeBron James. But when I spoke with Valenzuela recently, his company was advertising base salaries of up to $440,000 for an engineering manager and $490,000 for a director of machine learning.

A job listing like one of these might attract 2,000 applicants in a week, Valenzuela says, and there is a decent chance he won’t pick any of them. A lot of people who claim to be AI literate merely produce “workslop”—generic, low-quality material. He spends a lot of time reading academic journals and browsing GitHub portfolios, and recruiting people whose work impresses him.

In addition to an uncommon skill set, companies trying to win in the hypercompetitive AI arena are scouting for commitment bordering on fanaticism .

Daniel Park is seeking three new members for his nine-person startup. He says he will wait a year or longer if that’s what it takes to fill roles with advertised base salaries of up to $500,000.

He’s looking for “prodigies” willing to work seven days a week. Much of the team lives together in a six-bedroom house in San Francisco.

If this sounds like a lonely existence, Park’s team members may be able to solve their own problem. His company, Pickle, aims to develop personalised AI companions akin to Tony Stark’s Jarvis in “Iron Man.”

Overlooked

James Strawn wasn’t an AI early adopter, and the father of two teenagers doesn’t want to sacrifice his personal life for a job. He is beginning to wonder whether there is still a place for people like him in the tech sector.

He was laid off over the summer after 25 years at Adobe , where he was a senior software quality-assurance engineer. Strawn, 55, started as a contractor and recalls his hiring as a leap of faith by the company.

He had been an artist and graphic designer. The managers who interviewed him figured he could use that background to help make Illustrator and other Adobe software more user-friendly.

Looking for work now, he doesn’t see the same willingness by companies to take a chance on someone whose résumé isn’t a perfect match to the job description. He’s had one interview since his layoff.

“I always thought my years of experience at a high-profile company would at least be enough to get me interviews where I could explain how I could contribute,” says Strawn, who is taking foundational AI courses. “It’s just not like that.”

The trouble for people starting out in AI—whether recent grads or job switchers like Strawn—is that companies see them as a dime a dozen.

“There’s this AI arms race, and the fact of the matter is entry-level people aren’t going to help you win it,” says Matt Massucci, CEO of the tech recruiting firm Hirewell. “There’s this concept of the 10x engineer—the one engineer who can do the work of 10. That’s what companies are really leaning into and paying for.”

He adds that companies can automate some low-level engineering tasks, which frees up more money to throw at high-end talent.

It’s a dynamic that creates a few handsomely paid haves and a lot more have-nots.