Volatility creates openings for selective buyers
Sharp share price declines triggered by fears of artificial intelligence disruption are opening attractive entry points for investors, according to Morgan Stanley strategists.
The team argues that excessive market reactions across multiple sectors have created opportunities in companies positioned to benefit from AI adoption rather than be displaced by it. Strategists led by Andrew Pauker highlighted “AI incumbents,” resilient growth franchises and high-quality names with pricing power as areas of interest.
“Nearer-term AI adoption tailwinds help to offset longer-term disruption fears for impacted areas and for the overall market,” Pauker wrote.
Software incumbents seen as beneficiaries
Software stocks have faced some of the steepest selloffs amid concerns that generative AI will erode traditional business models. Morgan Stanley contends that markets may be underestimating the ability of established providers to integrate AI tools and expand their total addressable markets.
The strategists pointed to what they consider attractive valuations in companies such as Microsoft, Intuit and Atlassian, arguing that AI-enabled enhancements could drive incremental demand rather than displace core offerings.
Financials positioned to gain from productivity boost
Banks are also viewed as potential beneficiaries of AI adoption, with productivity improvements and cost efficiencies expected to support earnings over time. Among financial institutions, the team cited Citigroup, Bank of America, State Street and Truist Financial as comparatively defensible selections.
Within consumer finance, near-term uncertainty may be overshadowed by long-run efficiency gains as AI tools streamline underwriting, servicing and fraud detection.
Payments and insurance outlook
In payments and fintech, the strategists see Mastercard and Visa as positioned to benefit from developments such as agent-driven commerce and AI-enabled transaction flows.
In insurance, they expect gradual operational enhancements from AI adoption, though structural factors such as regulatory oversight and contract complexity may limit near-term disruption.
Investment cycle dynamics
Morgan Stanley characterized current volatility as typical of a large-scale technological investment cycle. Periods of uncertainty over capital spending levels and the scope of disruption are likely, but the strategists argue that such phases often create opportunities for disciplined stock selection.
They added that widening volatility bands and episodic market doubts should not obscure the longer-term structural growth trajectory tied to AI integration across industries.
