Niantic to Sell Pokemon GO, Other Games to Saudi-Backed Group in $3.5b Deal
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    HOUSE MEDIAN ASKING PRICES AND WEEKLY CHANGE     Sydney $1,736,779 (+1.11%)       Melbourne $1,057,340 (+0.67%)       Brisbane $1,151,226 (+0.91%)       Adelaide $1,015,559 (-0.31%)       Perth $1,005,131 (+1.51%)       Hobart $796,466 (+0.04%)       Darwin $882,186 (+3.28%)       Canberra $964,108 (-3.09%)       National $1,143,418 (+0.66%)                UNIT MEDIAN ASKING PRICES AND WEEKLY CHANGE     Sydney $795,054 (-0.05%)       Melbourne $519,602 (-0.44%)       Brisbane $725,709 (+0.28%)       Adelaide $576,859 (+0.27%)       Perth $556,364 (-0.30%)       Hobart $539,090 (+1.17%)       Darwin $431,601 (-3.46%)       Canberra $496,653 (+1.87%)       National $602,168 (+0.09%)                HOUSES FOR SALE AND WEEKLY CHANGE     Sydney 12,039 (+174)       Melbourne 12,993 (-35)       Brisbane 7,289 (-39)       Adelaide 2,335 (-40)       Perth 5,251 (-17)       Hobart 827 (+11)       Darwin 144 (+1)       Canberra 937 (+12)       National 41,815 (+67)                UNITS FOR SALE AND WEEKLY CHANGE     Sydney 9,101 (+9)       Melbourne 6,848 (-50)       Brisbane 1,320 (-17)       Adelaide 358 (+2)       Perth 1,221 (-32)       Hobart 171 (+4)       Darwin 244 (+4)       Canberra 1,120 (+13)       National 20,383 (-67)                HOUSE MEDIAN ASKING RENTS AND WEEKLY CHANGE     Sydney $800 ($0)       Melbourne $580 ($0)       Brisbane $670 ($0)       Adelaide $630 (-$10)       Perth $700 ($0)       Hobart $600 (+$8)       Darwin $750 ($0)       Canberra $690 (-$10)       National $685 (-$2)                UNIT MEDIAN ASKING RENTS AND WEEKLY CHANGE     Sydney $750 (-$10)       Melbourne $599 (-$1)       Brisbane $650 ($0)       Adelaide $535 (+$8)       Perth $650 (-$25)       Hobart $460 (-$5)       Darwin $595 (-$5)       Canberra $570 ($0)       National $612 (-$6)                HOUSES FOR RENT AND WEEKLY CHANGE     Sydney 5,374 (-74)       Melbourne 7,632 (-176)       Brisbane 3,997 (+12)       Adelaide 1,498 (-8)       Perth 2,385 (-46)       Hobart 156 (-18)       Darwin 100 (+7)       Canberra 417 (-34)       National 21,559 (-337)                UNITS FOR RENT AND WEEKLY CHANGE     Sydney 7,991 (-97)       Melbourne 5,949 (-41)       Brisbane 1,977 (-78)       Adelaide 411 (-13)       Perth 729 (-25)       Hobart 70 (-7)       Darwin 149 (+12)       Canberra 680 (-44)       National 17,956 (-293)                HOUSE ANNUAL GROSS YIELDS AND TREND         Sydney 2.40% (↓)       Melbourne 2.85% (↓)       Brisbane 3.03% (↓)       Adelaide 3.23% (↓)       Perth 3.62% (↓)     Hobart 3.92% (↑)        Darwin 4.42% (↓)     Canberra 3.72% (↑)        National 3.11% (↓)            UNIT ANNUAL GROSS YIELDS AND TREND         Sydney 4.91% (↓)     Melbourne 5.99% (↑)        Brisbane 4.66% (↓)     Adelaide 4.82% (↑)        Perth 6.08% (↓)       Hobart 4.44% (↓)     Darwin 7.17% (↑)        Canberra 5.97% (↓)       National 5.28% (↓)            HOUSE RENTAL VACANCY RATES AND TREND       Sydney 2.0% (↑)      Melbourne 1.9% (↑)      Brisbane 1.4% (↑)      Adelaide 1.3% (↑)      Perth 1.2% (↑)      Hobart 1.0% (↑)      Darwin 1.6% (↑)      Canberra 2.7% (↑)      National 1.7% (↑)             UNIT RENTAL VACANCY RATES AND TREND       Sydney 2.4% (↑)      Melbourne 3.8% (↑)      Brisbane 2.0% (↑)      Adelaide 1.1% (↑)      Perth 0.9% (↑)      Hobart 1.4% (↑)      Darwin 2.8% (↑)      Canberra 2.9% (↑)      National 2.2% (↑)             AVERAGE DAYS TO SELL HOUSES AND TREND       Sydney 26.8 (↑)        Melbourne 27.0 (↓)       Brisbane 29.6 (↓)       Adelaide 24.7 (↓)       Perth 34.3 (↓)       Hobart 27.7 (↓)       Darwin 25.7 (↓)       Canberra 26.9 (↓)       National 27.8 (↓)            AVERAGE DAYS TO SELL UNITS AND TREND         Sydney 27.1 (↓)       Melbourne 27.4 (↓)       Brisbane 29.3 (↓)       Adelaide 26.8 (↓)       Perth 34.5 (↓)       Hobart 26.7 (↓)     Darwin 31.3 (↑)      Canberra 39.7 (↑)        National 30.4 (↓)           
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Niantic to Sell Pokemon GO, Other Games to Saudi-Backed Group in $3.5b Deal

The games and apps made more than $1 billion in revenue last year, Scopely said.

By MAURO ORRU
Thu, Mar 13, 2025 10:09amGrey Clock 2 min

“Pokemon GO” maker Niantic reached an agreement to sell its gaming business to Savvy Games Group’s subsidiary, Scopely, for $3.5 billion, handing the company backed by Saudi Arabia’s sovereign wealth fund the hit mobile game along with engagement and live-experience apps.

“Pokemon GO,” one of the first videogames to use augmented reality, exploded in popularity after launching in 2016. The game allows players use their smartphone cameras to find and capture virtual creatures. The franchise amassed more than $8 billion in revenue since its inception and the game reaches players in over 190 countries and regions, Savvy Games Group said.

Niantic is also selling “Pikmin Bloom,” a game in collaboration with Nintendo that debuted in 2021, and “Monster Hunter Now,” Niantic’s most recent game that reached more than 15 million downloads following its September 2023 launch. Under the deal, Scopely will also take control of Campfire, an app that connects players, and Wayfarer, a player engagement service.

Scopely said the games and apps, which draw more than 30 million monthly active players, made more than $1 billion in revenue last year. The deal will add three games to its stable, which already includes “MONOPOLY GO!,” “Stumble Guys,” “Star Trek Fleet Command” and “MARVEL Strike Force.”

“This transaction represents one of the largest games deals made by a private company in the last decade, ranking alongside Scopely’s own acquisition by Savvy in 2023 for $4.9 billion,” Tim O’Brien, Scopely’s chief revenue officer, said in a statement.

The deal marks a major structural overhaul for Niantic. The company has struggled to come up with big hits like “Pokemon GO” and slashed dozens of jobs in recent years in an effort to focus on fewer games and develop augmented-reality technology.

Niantic said it planned to spin off its geospatial artificial-intelligence business into a new company, Niantic Spatial, once the deal with Scopely closes. The company said Niantic Spatial would get $250 million of capital, including $200 million from Niantic’s balance sheet and a $50 million investment from Scopely.

Scopely and Niantic expect the deal to close this year, subject to customary closing conditions and completion of a regulatory review.

Write to Mauro Orru at mauro.orru@wsj.com



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In a Sea of Tech Talent, Companies Can’t Find the Workers They Want

A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.

By CALLUM BORCHERS
Thu, Oct 2, 2025 4 min

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.

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