AI / Machine Learning

Artificial Intelligence Is Reshaping Every Industry

AI and machine learning represent the most transformative technology cycle since the internet. Global AI spending is projected to exceed $300 billion annually by 2027, driven by enterprise adoption of large language models, computer vision, and autonomous systems. The sector has moved beyond research into production-grade deployment across healthcare, finance, defense, logistics, and manufacturing.

Three structural shifts define the current AI landscape. First, foundation models have crossed the utility threshold, enabling companies to build commercially viable products on top of general-purpose intelligence. Second, inference costs are declining rapidly, making AI-native applications economically feasible at scale. Third, the hardware layer - from GPUs to custom ASICs - has become a multi-hundred-billion-dollar market as compute demand outpaces supply.

For investors, AI presents both extraordinary opportunity and concentration risk. The infrastructure layer (chips, cloud, data pipelines) captures disproportionate value today, while the application layer remains fiercely competitive. The most durable companies will be those that combine proprietary data advantages with workflow-specific AI capabilities that general-purpose models cannot easily replicate.

Uhlig Capital maintains significant exposure to AI across its portfolio - from infrastructure companies like Etched (custom AI chips) and Fundamental Technologies (data infrastructure) to application-layer companies like ElevenLabs (voice AI), Fyxer AI (productivity), and Ankar (legal tech). Our fund managers consistently access the most competitive AI rounds at the earliest stages.