Author Archives: GilPress

About GilPress

I'm Managing Partner at gPress, a marketing, publishing, research and education consultancy. Also a Senior Contributor forbes.com/sites/gilpress/. Previously, I held senior marketing and research management positions at NORC, DEC and EMC. Most recently, I was Senior Director, Thought Leadership Marketing at EMC, where I launched the Big Data conversation with the “How Much Information?” study (2000 with UC Berkeley) and the Digital Universe study (2007 with IDC). Twitter: @GilPress

AI Usage Statistics 2026: 16.3% of the global population uses generative AI

AI usage has reached a major milestone, moving from early adoption to widespread global use. By late 2025, over 1 billion people worldwide are using standalone AI platforms each month, with estimates going as high as 1.5 billion. Generative AI … Continue reading →

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How the AI Talent War Broke Silicon Valley’s Pay Scale

Silicon Valley’s pay scale was built on stability, structure, and predictability. For years, tech companies used fixed salary bands, standardized role levels, and equity-based pay cycles to keep engineering compensation consistent across the industry. But the rise of generative AI … Continue reading →

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How the AI Job Boom Looks in India: 490,000 New Roles, $160K Salaries, and a Skills Crisis

India’s AI job market is growing rapidly and has become one of the largest sources of AI talent in the world. Companies across industries such as technology, banking, healthcare, manufacturing, and retail are increasing their investments in AI, creating strong … Continue reading →

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AI Infrastructure Spending Statistics

AI Infrastructure Spending Statistics to Reach 1 Trillion by 2030 AI infrastructure is growing very quickly as more companies use artificial intelligence in their products and services. To support advanced AI systems like large language models, companies are spending heavily … Continue reading →

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AI Is Making Your Next Laptop More Expensive — Here’s Why

The AI boom isn’t just happening in data centers. It’s showing up on the price tag of the laptop in your shopping cart. Here’s the full chain of cause and effect, with the numbers to back it up. On June … Continue reading →

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How to Opt Out of Instagram AI Training (2026 Guide)

Meta has made artificial intelligence a core part of Instagram, but many users are asking one important question: Can you stop Instagram from using your data to train AI? The short answer is yes—but only in some cases. Meta uses … Continue reading →

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China AI Data Center Market Statistics 2025-2033

China’s AI data center industry is experiencing rapid growth as the country accelerates investments in artificial intelligence, cloud computing, and high-performance computing infrastructure. The market generated USD 10.42 billion in revenue in 2025 and is projected to reach USD 66.10 … Continue reading →

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AI Salaries by Country: The Global Pay Gap That Is Reshaping Where AI Gets Built

AI talent has become one of the most valuable resources in the global economy, but compensation for that talent varies dramatically across countries. While demand for AI engineers is rising worldwide, salary levels are shaped by factors such as local … Continue reading →

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LLM Statistics: Market Size, Growth (2026-2035)

Large Language Models (LLMs) have emerged as one of the most transformative technologies of the artificial intelligence era, powering applications ranging from AI chatbots and virtual assistants to content creation, software development, education, and enterprise automation.  As businesses and consumers … Continue reading →

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GPU Price Changes: A Complete Statistical History (2000-2026)

Graphics Processing Units (GPUs) have come a long way from being hardware mainly used for gaming. They are an essential part of industries ranging from artificial intelligence to cloud computing, making them some of the most important and expensive computer … Continue reading →

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