According to Andrej Karpathy, despite using AT&T Active Armor, he continues to receive around 10 spam calls and 5 spam messages daily, all originating from new and unique numbers, which renders traditional blocking methods ineffective (source: @karpathy). This highlights a significant pain point for consumers and underscores the growing need for advanced AI-driven spam detection and filtering solutions. AI companies developing real-time, adaptive algorithms for recognizing spam patterns, natural language processing for phishing detection, and integration with telecom infrastructure stand to capture a large market segment. The persistent ineffectiveness of current solutions like AT&T Active Armor presents a clear business opportunity for startups and established firms to deploy next-generation AI models that can dynamically identify and block unsolicited communications, improving user experience and security in telecommunications.