Descriptions:
A Morgan Stanley analyst appears on Bloomberg Technology to present findings from the bank’s fifth systematic mapping of roughly 3,600 global stocks for AI exposure, rate of change, materiality, and pricing power. The core argument is that the recent broad selloff in AI-adjacent equities has been indiscriminate, creating specific buying opportunities in software and services companies protected by data moats — including financial data providers, credit bureaus, and customer-record systems where switching costs are high.
The headline quantitative finding is that companies actively adopting AI are experiencing margin expansion at approximately double the rate of broader market indices, outpacing both the MSCI World Index and the S&P 500. The research also tracks a shifting pattern in which sector is showing the greatest rate of change in AI adoption: energy and utilities led in 2024, financials led in 2025, and the current leading category is non-tech sectors including consumer goods, apparel, durable goods, and automotive — a sign that AI productivity gains are broadening well beyond the technology industry itself.
The segment also covers Morgan Stanley’s expansion into private company coverage, particularly in thematic areas like humanoid robotics and AI infrastructure where analysts have been shifted from public stock coverage to track private innovation. Salesforce and ServiceNow are cited as examples of companies demonstrating real-world AI deployment that the market has been slow to credit. The overall framing is a potential regime shift from AI-enabler market leadership to AI-adopter leadership across all sectors.
📺 Source: Bloomberg Technology · Published February 18, 2026
🏷️ Format: News Analysis
