According to Sawyer Merritt, SpaceX's Starlink satellite internet service has achieved a remarkable growth rate, reaching over 9 million customers just 47 days after surpassing the 8 million mark, as reported on Twitter (Sawyer Merritt, 2025). This equates to an average of 21,275 new users per day, a 49.3% increase in growth rate compared to the previous month. While Starlink V3 has not yet launched, its anticipated AI-driven enhancements in network optimization and service capabilities are expected to unlock new levels of performance. For AI industry stakeholders, this rapid subscriber growth indicates expanding data throughput and edge AI processing opportunities for global connectivity, IoT integration, and AI-powered applications in underserved regions (Sawyer Merritt, 2025).

According to Sawyer Merritt, NASA revenue will account for less than 5% of SpaceX’s total revenue in 2026, with commercial Starlink being the dominant contributor (source: @SawyerMerritt, Dec 6, 2025). This shift signals a major business opportunity for AI-driven connectivity and satellite internet applications, as Starlink’s growth enables new markets for edge AI services, global IoT connectivity, and data-driven business models. AI companies have significant opportunities to leverage Starlink’s global network for deploying low-latency AI solutions, supporting industries such as autonomous transportation and remote industrial operations.

According to @godofprompt, researchers have developed a neuromorphic AI chip that mimics how biological neurons process information, utilizing the Neural Engineering Framework (NEF) to map computations onto spiking neural networks. Published in Nature Communications Scientific Reports, this prototype chip achieves pattern recognition accuracy comparable to traditional deep learning models while consuming just 1% of the energy (source: @godofprompt, Oct 30, 2025). Unlike traditional AI chips that rely on billions of multiply-accumulate operations, this neuromorphic hardware uses sparse, event-driven spikes, dramatically reducing power usage. The breakthrough demonstrates a fundamentally different computing paradigm, opening up new business opportunities in edge AI, IoT, and sustainable large-scale AI deployments by addressing the energy bottleneck in AI applications.