Brooklyn Man Who Bragged About $16M Coinbase Scam Gets Up to 12 Years
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Bitcoin Coinbase Premium hits monthly low as CLARITY Act vote squeezes US demand
Bitcoin exchange demand on Coinbase declined after the US Senate voted against the CLARITY Act, while traders sent BTC to exchanges at an unrealized loss.
Satoshi-era Bitcoin wakes after 16 years of dormancy as 600 BTC moves
Whale Alert identified 12 mining block rewards totaling 600 BTC that moved after 16 years of dormancy, finding no connection to Satoshi Nakamoto.
McKinsey research: 76% of employees use AI to assist in their work; generative AI lowers the demand for entry-level positions.
According to a McKinsey study published on July 7th by Odaily Odaily, only 30% of employees used AI to assist in their work in 2023, but this figure is projected to rise to 76% by 2025. The "McKinsey 2025 New Era of Work Survey" shows that 51% of organizations reported that generative AI has reduced their demand for entry-level positions. Between 2023 and 2025, the turnover intention of employees with less than one year of service decreased from 37% to 32%, approaching the 30% level of employees with more than three years of service. The survey shows that AI creators and heavy AI users have the highest sense of job belonging, but they are 7% more likely to leave within the next 3 to 6 months than light AI users and 10% more likely than employees who do not use AI. The survey indicates that the main reasons employees are willing to stay include valuable work, flexible work location, career development and promotion opportunities, trust and support from colleagues, and decent compensation with sufficient recognition.
Goldman Sachs: AI investment focus shifts to real-world industries; capital expenditure could reach $7.6 trillion over the next 6 years.
According to a recent report by Goldman Sachs, the focus of artificial intelligence (AI) investment has begun to extend to the broader real economy. While computing power, electricity, and data centers are still under rapid construction, AI is simultaneously entering real-world scenarios such as manufacturing, energy, logistics, defense, life sciences, and robotics. From 2026 to 2031, global AI capital expenditure surrounding computing, data centers, and electricity will reach approximately $7.6 trillion, with annual investment rising from $765 billion in 2026 to $1.64 trillion in 2031. Hyperscale cloud vendors may invest over $6 trillion in AI by 2030. The key to future competition will not only be models or chips, but also capital structure, energy supply, industry data, engineering capabilities, and deployment capabilities. (Cailian Press)
Sality Botnet Dismantled After Eight Years of Stealing Bitcoin and Ethereum
CrowdStrike and the DOJ isolated more than 15,000 infected machines in a malware takedown spanning four countries.
Laser Digital gets Japan’s first crypto exchange approval in 4 years
Nomura-backed Laser Digital Japan received registration to provide domestic liquidity before expanding into institutional crypto trading.