Early semiconductor earnings point to resilient AI demand, although investor enthusiasm is becoming more selective. Initial results from ASML and TSMC reinforce expectations that demand for advanced chips and equipment will outpace supply through 2028. Wall Street remains optimistic about AI infrastructure spending, but rising manufacturing costs, margin pressure, and concerns over AI funding are tempering expectations. Consumer-sensitive markets, particularly smartphones and PCs, remain weak as higher component prices weigh on demand. Early sentiment readings are broadly unchanged from last quarter on a comparable basis, but materially stronger than a year ago.
With only two of 14 companies reporting, the index will refresh once seven have released results.
The AlphaSense Sentiment Score is calculated as the net sum of positive and negative discourse in public company earnings call transcripts. It is powered by the AlphaSense Sentiment language model that applies deep domain-aware semantic reasoning to financial disclosure commentary and dialogue. It identifies significant shifts in executive tone and intent down to the sentence level, highlighted and auditable in all transcripts within the AlphaSense platform. This model delivers a normalized sentiment score (-100 to 100) that allows the tracking and identification of sentiment shifts based on what executives across thousands of public companies are discussing on earnings calls.

Transform intelligence
into advantage
Develop bold strategies, seize opportunities,β¨and lead with clarity and confidence.