According to @LexSokolin, AI-driven automation will erode moats for fintechs built on manual processes, increasing competitive pressure and likely attrition among such startups, which is a material risk factor for investors; source: Lex Sokolin on X, Jan 19, 2026. According to @LexSokolin, large language models can generate middleware in seconds, compressing software differentiation and shifting value away from labor-intensive fintech operations toward automation-native architectures, a dynamic traders should factor into positioning; source: Lex Sokolin on X, Jan 19, 2026. According to @LexSokolin, firms integrating AI at the protocol layer will be more defensible than those relying on manual workflows, implying a relative advantage for API-first, automation-centric platforms and related crypto protocols with embedded AI logic; source: Lex Sokolin on X, Jan 19, 2026. According to @LexSokolin, for trade setup, this view favors exposure to fintech and crypto infrastructure that embed AI at the protocol layer and underweights operations-heavy models that depend on manual processes as automation advances; source: Lex Sokolin on X, Jan 19, 2026.