<ul><li>Leading AI researchers and organizations are concerned that AI progress may halt due to a lack of high-quality data for models like ChatGPT and Claude.</li><li>Stanford University's AI Index 2025 Report warns about the rapid depletion of internet training data, raising concerns about a digital drought that could impede AI advancement.</li><li>MIT's Data Provenance Initiative has observed a significant decrease in available content as publishers and platforms restrict data access for AI companies.</li><li>The rising scarcity of data raises the question of whether Large Language Models (LLMs) will exhaust their data sources before achieving the desired advanced capabilities, potentially stalling AI progress.</li></ul>

Digital Drought: Will LLMs Run Out of Data Before They Reach AGI?

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