The Limits of Text Alone: How Multimodal AI Is Rewriting the Rules of Language Understanding
Text-only NLP has achieved remarkable things, but a growing body of evidence suggests it is approaching a ceiling that additional parameters and more data cannot break through. As vision-language models and audio-text systems demonstrate capabilities that pure language models cannot replicate, enterprise teams face a strategic question: how long can they afford to ignore the multimodal shift?