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- 🗞 Google's Veo 2 Pricing, Microsoft's Data Center Cancellations, and Meta's AI Data Legal Troubles
🗞 Google's Veo 2 Pricing, Microsoft's Data Center Cancellations, and Meta's AI Data Legal Troubles
AI Today: Market Movers and Tech Breakthroughs

🔎 The Latest on the AI Frontier:
Google Prices Veo 2 AI Video Generation at 50 Cents Per Second
Meta Faces Legal Scrutiny Over Internal AI Training Data Discussions
Microsoft's Data Center Lease Cancellations Spark Analyst Debate
Alibaba Announces $52 Billion Investment in AI and Cloud Computing
Apple Commits $500+ Billion to US Investment with AI Infrastructure Focus
Communication Skills Emerge as Critical Asset in AI Job Revolution
Other news you might find interesting
🎬 Google reveals pricing for its new Veo 2 AI video generation model at 50 cents per second of generated content
Google's Veo 2 AI video tool will cost users 50 cents per second, which translates to approximately $30 per minute or $1,800 per hour of generated footage.
DeepMind researcher Jon Barron highlighted the model's value by comparing it to "Avengers: Endgame" production costs of $32,000 per second versus Veo 2's 50 cents per second.
The pricing positions Veo 2 as a premium service for professionals, contrasting with rival OpenAI's Sora model which is available through a $200 monthly ChatGPT Pro subscription.
⚖️ Meta faces legal challenges as unsealed court documents reveal internal discussions about using copyrighted content to train AI models
Internal communications show Meta employees considered an "ask forgiveness, not permission" approach to using unlicensed books and Libgen for AI training data.
One Meta director called Libgen "essential to meet SOTA numbers" while proposing strategies to mitigate legal exposure.
The Kadrey v. Meta lawsuit could establish precedent for AI copyright law, with Meta adding two Supreme Court litigators to its defense team.
🏢 Microsoft reportedly cancels data center leases amid conflicting analyst interpretations of company's AI strategy
TD Cowen analysts reported that Microsoft has cancelled leases with "at least two private data center operators" in the U.S., amounting to a few hundred megawatts of capacity.
Wall Street is divided on the significance, with Jefferies analysts noting Microsoft executives "strongly refuting" any change to their data center strategy, suggesting it's normal optimization rather than an AI pullback.
Mizuho analysts offered alternative explanations, suggesting Microsoft might be walking away from potential leases rather than cancelling existing agreements, or making a course correction similar to other hyperscalers.
💰 Alibaba commits to invest $52 billion in AI and cloud computing over the next three years
Alibaba's 380 billion yuan ($52.44 billion) investment marks its largest-ever commitment to AI and cloud infrastructure, exceeding a decade of previous investments.
The move positions Alibaba at the forefront of China's AI race, with 280.15 billion yuan in Q4 revenue and stock gains over 68% year to date.
Competitor ByteDance is reportedly planning 150+ billion yuan in 2025 capital expenditure, primarily focused on AI development.
🍎 Apple commits over $500 billion investment in the U.S. over the next four years, focusing on AI infrastructure and American manufacturing
Apple will open a 250,000-square-foot server facility in Houston for Apple Intelligence, creating thousands of jobs and bringing production back to the U.S.
The company is doubling its U.S. Advanced Manufacturing Fund to $10 billion, including significant investment in TSMC's Arizona chip facility.
Apple plans to hire 20,000 people, establish a Manufacturing Academy in Detroit, and expand data centers across five states.
🗣️ Communication emerges as the most critical job skill needed to thrive in the AI revolution, according to a World Economic Forum report analysis
The WEF predicts a net gain of 78 million jobs by 2030 (170 million created, 92 million lost), with AI-related roles, fintech, and engineering among the fastest-growing sectors.
While technical skills like AI and data analysis will be in demand, the article argues that soft skills—particularly communication—will be the true differentiator in an increasingly AI-saturated market.
By 2030, approximately 39% of current skills will be outdated or transformed, with 59% of the global workforce requiring training—making effective communication with both AI tools and human customers essential for career success.
🖨 More news you might find interesting:
OpenAI CEO Sam Altman announces birth of premature son, sharing heartfelt message on social media.
Anthropic's Claude 3.7 Sonnet may debut soon on AWS Bedrock, featuring new "extended thinking" capabilities.
Meta expands Meta AI to the Middle East and North Africa with Arabic language support.
OpenAI bans numerous ChatGPT accounts globally for suspected malicious activities.
AI arms race heats up as enterprises face increasingly sophisticated endpoint attacks leveraging generative AI.
ByteDance restructures AI division and hires Google veteran amid growing DeepSeek competition.
US car owners see AI agents as potential solution to frustrating auto industry experiences, according to new Salesforce research.
Sonar Mental Health launches AI-assisted chatbot to help address school counselor shortage.
Nvidia unveils AI weather forecasting model that dramatically improves prediction speed and efficiency.
Generative AI will disrupt high-skilled tech workers more than lower-skilled jobs, according to Brookings Institution report.
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