Fivetran's analysis of customer data reveals a significant growth in AI-driven data demand, with industries such as retail and manufacturing scaling up their data pipelines to stay competitive. The widespread adoption of large language models is driving this shift, enabling businesses to synthesize information, ideate, iterate, and prototype more effectively. Industries like insurance and financial services are also leveraging AI for real-time analytics, predictive modeling, and risk assessment, while media and logistics companies are optimizing their data movement and efficiency. However, some industries, such as media and logistics, have seen declines in data movement due to AI-powered automation, which is forcing them to rethink their approach to data management. Ultimately, businesses that can keep up with the accelerating pace of change will be well-positioned for long-term success.