Buy Crypto
Pay with
USD
USD
Buy & Sell
Hot
Supports Visa, Mastercard, SEPA & more
P2P
0 Fees
Flexible trading, zero fees
Gate Card
Use your crypto for payments worldwide
Markets
Trade
Basic
Advanced
Futures
Futures
Access hundreds of perpetual contracts
CFD
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Stocks
CFD
U.S. stock CFD derivatives
US Stocks
Access real US stocks and ETFs
HK Stocks
Trade quality Hong Kong-listed stocks
Korean Stocks
Real Korean stocks and top assets
Stock Futures
High leverage, 24/7 trading
Tokenized Stocks
Backed by real stock assets
IPO Access
Unlock full access to global stock IPOs
GUSD
Mint GUSD for Treasury RWA yields
Stocks Activities
Trade Popular Stocks and Unlock Generous Airdrops
Earn
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
IPO Access
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Investment
Square
Square
Post, share, and explore crypto trends
Live
moments live
Live crypto market analysis
Chat
Chat with crypto traders
News
What is happening in crypto
flower_head
More
Promotions
AI
Others
TradFi
2026 World Cup
Rewards

Two-Tier Talent Model Emerges in AI Era: Top 1% Experts and High-Agency Generalists, Says Stanford's Li Fei-Fei

GateNews
AI Industry News
According to Guru Club, on June 22, Stanford professor Fei-Fei Li and David Rogier, CEO of MasterClass, discussed the future workplace in an AI era during a podcast appearance. Both highlighted the importance of agency—the ability to proactively engage with and master technology. Rogier outlined an emerging barbell structure within companies: one end features top-tier experts specializing at the top 1% level, while the other comprises high-agency generalists capable of multitasking, strong judgment, and knowing when to collaborate with specialists. The middle tier of workers performing only standard tasks faces the most pressure. Li concurred, noting that both ends require agency to leverage tools—experts to amplify their depth, and generalists to transcend past capability limits.
View Source
Disclaimer: The information on this page may come from third-party sources and is for reference only. It does not represent the views or opinions of Gate and does not constitute any financial, investment, or legal advice. Virtual asset trading involves high risk. Please do not rely solely on the information on this page when making decisions. For details, see the Disclaimer.

Related News

9h ago
Liu Qiangdong Proposes AI Path for Asia-Pacific Developing Nations: No Need for Computing Power Competition
13h ago
OpenAI Unveils Roadmap to Deploy Personal AGI Assistants by 2028
06-21 05:17
Ben Goertzel Advocates Decentralized AGI via Blockchain, Predicting Emergence Between 2027-2030
06-21 04:41
Palantir CEO Warns AI Will Weaken Economic Power of Highly Educated Workers, Democratic Base on June 21
06-20 15:37
UnitedHealth Group to Invest $3 Billion in AI Projects Through 2027, Targets Clinic Automation
In-Depth Analysis

Google’s top AI talent is reportedly leaving amid a surge of resignations, according to a veteran reporter: this is a stress test, not a death knell

Market Whisper8h ago

Trump supports the U.S. government holding stakes in major AI companies, while Musk argues for “direct cash payouts.”

Market Whisper10h ago

OpenRouter Fusion API Matches Claude Fable 5 Performance at Half Cost

Oliver Grant19h ago
Comment
0/400
No comments