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McKinsey Plots Thousands of Job Cuts in Slowdown for Consulting Industry
McKinsey, the consulting giant that has spent a century advising companies on how to cut costs and restructure operations, is now turning that advice inward as it plans to eliminate thousands of jobs across its non-client-facing departments over the next 18 to 24 months.
The firm's leadership has discussed a roughly 10% headcount reduction in support functions, according to Bloomberg. McKinsey's revenue has hovered around $15 billion to $16 billion for the past five years after a decade of rapid expansion that saw employee count climb from 17,000 in 2012 to 45,000 by 2022. The headcount has since slid to about 40,000.
The cuts come as consulting firms face cost-conscious clients, Trump administration pressure on government consulting spending, and reduced payments from Saudi Arabia, which had been paying McKinsey at least $500 million annually in the decade up to 2024. McKinsey cut about 1,400 jobs in 2023 under a plan internally labeled Project Magnolia, and axed 200 global tech positions last month. The firm still plans to hire consultants even as it shrinks support staff.
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High-Speed Traders Are Feuding Over a Way To Save 3.2 Billionths of a Second
A millisecond used to be a big deal for the world's quickest traders. A dispute over huge trading profits at one of the world's largest futures exchanges shows they now think a million times faster [non-paywalled source]. From a report: The controversy is about an arcane technical maneuver in which high-speed traders bombard Frankfurt-based Eurex with useless data. The idea is to keep their connections to the exchange warm so they can react fractionally faster to market-moving information. The battle is the latest chapter in a decadeslong contest among secretive ultrafast trading firms, which have pursued a relentless quest for minuscule speed advantages.
A group of high-frequency trading firms has exploited the practice to rake in hundreds of millions of dollars, says Mosaic Finance, a French firm that has complained to Eurex and European regulators. "An arms race is OK, but you must use legal weapons," said Hugues Morin, founder of Mosaic. Eurex says Mosaic's claims are baseless.
[...] High-speed traders often seek to capture fleeting differences between prices of related assets, making quick response times critical. If benchmark Euro Stoxx 50 index futures rise, for example, contracts tied to Germany's DAX will usually follow. A first mover will be able to buy DAX futures before they tick higher, then sell out at a higher price -- a strategy that can add up to big profits over time. The maneuver that prompted Mosaic's spat with Eurex can improve reaction times by about 3.2 nanoseconds, according to the French firm, which calls it "corrupted speculative triggering," or CST for short.
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Nvidia pledges more openness as it slurps up Slurm
And parades its latest trio of Nemotron models
Nvidia burnished its open source credentials this week after buying the company behind the veteran Slurm scheduler and announcing a slew of open source AI models.…
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Tech Giants Can't Agree On What To Call Their AI-Powered Glasses
The glasses-shaped face computers that tech companies have been building for years now face an identity crisis, and their makers can't agree on what to call them. Meta has asked a journalist to refer to its Ray-Ban glasses as "AI glasses" to distinguish them from Google Glass. Google, whose Project Aura is a collaboration with Xreal, calls the product "wired XR glasses" because the company views it as more aligned with headsets in a glasses form factor.
Xreal's CEO Chi Xu laughed when asked about Aura's category and said the company will call all its products "AR glasses." Research firms aren't aligned either. Gartner defines smart glasses as camera- and display-free devices with Bluetooth and AI. Counterpoint Research said smart glasses without see-through displays drive volumes in the smart eyewear category. IDC uses a broader definition that includes anything glasses-shaped.
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The Entry-Level Hiring Process Is Breaking Down
The traditional signals that employers used to evaluate entry-level job candidates -- college GPAs, cover letters, and interview performance -- have lost much of their value as grade inflation and widespread AI use render these metrics nearly meaningless, writes The Atlantic.
The recent-graduate unemployment rate now sits slightly higher than the overall workforce's, a reversal from historical norms where new college graduates were more likely to be employed than the average worker. Job postings on Handshake, a career-services platform for students and recent graduates, have fallen by more than 16 percent in the past year. At Harvard, 60% of undergraduate grades are now A's, up from fewer than a quarter two decades ago. Seven years ago, 70% of new graduates' resumes were screened by GPA; that figure has dropped to 40%.
Two working papers examining Freelancer.com found that cover-letter quality once strongly predicted who would get hired and how well they would perform -- until ChatGPT became available. "We basically find the collapse of this entire signaling mechanism," researcher Jesse Silbert said. The average number of applications per open job has increased by 26% in the past year. Students at UC Berkeley are now applying to 150 internships just to land one or two interviews.
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