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The ceiling on human attention is the oldest operational constraint in portfolio management. Traders work shifts; global markets do not pause.
Brokerages, startups, and retail investors are now building AI agents to oversee portfolios and automate investing tasks that humans previously handled, a buildout broad enough to span institutional and retail participants alike.
The constraint these systems target Portfolio monitoring has always been bounded by human availability.
A discretionary manager working standard hours misses market events and risk signals that arrive outside those hours. The solution, historically, was to staff additional shifts or accept the coverage gap.
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