Does everyone else use screenshots to enter into ChatGPT? I use it all the time. Seems to be the fastest and most efficient way for me.

📝 TL;DR Meta is reportedly planning sweeping layoffs that could hit 20% or more of its workforce as it pours billions into AI infrastructure. This is a blunt reminder that the AI boom is creating new opportunities, but it is also pushing some of the biggest tech companies to cut hard and reorganize fast. 🧠 Overview Meta appears to be preparing one of the largest layoff rounds in its history, with reports suggesting the company could cut more than 15,000 jobs. The move is tied to two forces happening at once, rising costs from massive AI and data center spending, and growing confidence inside the company that AI assisted workers can do more with fewer people. This is not just a Meta story. It is another example of how the AI race is changing the economics of big tech, where companies are spending huge amounts on chips, infrastructure, and talent while trying to slim down everywhere else. 📜 The Announcement Reports say Meta is weighing layoffs that could affect 20% or more of its workforce, though no final number or timeline has been confirmed. The cuts are reportedly being discussed as a way to offset soaring AI infrastructure costs and prepare the company for greater efficiency as AI tools take over more internal work. If the cuts happen at that scale, it would be Meta’s biggest layoff event since the company cut around 22,000 roles between late 2022 and early 2023. Meta has publicly pushed back on the reports, calling them speculative, but the story fits a broader pattern of major restructuring as AI spending ramps up. ⚙️ How It Works • AI spending is eating budgets - Meta is investing heavily in data centers, chips, and AI talent, which puts pressure on other parts of the business to become leaner. • Efficiency becomes the justification - Companies increasingly argue that AI tools let remaining workers handle more output, which makes large teams harder to justify. • Restructuring follows strategy shifts - Meta has been shifting attention away from earlier metaverse heavy priorities and deeper into AI infrastructure and superintelligence efforts.