mobile apps AI News & Updates
Mobile AI App Spending Surpasses Games Globally, Driven by ChatGPT and Assistant Adoption
In 2025, global consumer spending on non-game mobile apps exceeded game spending for the first time, reaching $85 billion (21% YoY increase), largely driven by generative AI applications. AI app revenue tripled to over $5 billion, with ChatGPT alone generating $3.4 billion, while downloads doubled to 3.8 billion and usage time increased 3.6x. Big tech companies like Google and Microsoft significantly expanded their AI assistant market share, with over 200 million U.S. users accessing AI assistants by year-end, more than half exclusively on mobile devices.
Skynet Chance (+0.01%): Massive consumer adoption and engagement with AI assistants (200M+ U.S. users, 48 billion hours spent) demonstrates deepening human dependency on AI systems for daily tasks, which could increase vulnerability if alignment issues emerge at scale. However, current applications remain narrow assistants rather than autonomous agents, limiting immediate existential risk.
Skynet Date (+0 days): The rapid commercialization and integration of AI assistants into daily life accelerates the normalization and infrastructure development for more advanced AI systems, potentially shortening timelines to more capable autonomous systems. Big tech's aggressive competition and investment ($5B+ revenue demonstrates commercial viability) suggests sustained acceleration of AI capability development.
AGI Progress (+0.02%): The report indicates significant improvements in AI capabilities across reasoning, coding, task execution, and multimodal generation (image/video), with massive real-world deployment and user engagement demonstrating practical utility. The 3.6x increase in usage time with sessions growing faster than downloads suggests these systems are becoming genuinely useful tools, validating progress toward more general capabilities.
AGI Date (+0 days): The commercial success ($85B spending, tripling AI revenue) creates strong financial incentives for continued rapid development, while big tech's market share growth from 14% to 30% indicates major players are committing substantial resources to AI advancement. The rapid pace of capability improvements mentioned (reasoning, coding, multimodal generation) and intense competition suggests acceleration toward more general AI systems.