Portfolio Manager Ankur Crawford uses her diverse global upbringing to interpret leadership communication, recognizing that cultural norms, like humility versus boastfulness, can be misinterpreted by investors who lack that context, providing an analytical edge.
Ankur Crawford noted that Taiwan Semiconductor's customer-first philosophy delayed price hikes despite their market dominance. However, the business's fundamental strength eventually forced them to raise prices, rewarding patient investors who understood the underlying value.
As a former Intel engineer, Ankur Crawford argues that truly understanding technology "under the covers" is crucial for investors in complex sectors like AI. This deep knowledge builds the conviction needed to hold positions through volatility, unlike less-informed "loose holders."
Despite achieving her academic and research goals at Stanford, Ankur Crawford felt unfulfilled. This self-awareness prompted her to leave a "narrow, lonely" engineering path for finance, a move that ultimately brought greater professional satisfaction and success.
Alger's CEO hired Ankur Crawford on the spot after she engaged him in a spirited debate about technology. He valued her willingness to challenge him and offer different perspectives, seeing it as more important for the firm's culture than consensus.
Ankur Crawford found her most challenging career transition was moving from analyst to PM. It required shifting from doing the detailed work herself to guiding her team through questioning—a difficult but necessary change to scale her impact and perspective.
The Alger investment philosophy reframes growth investing. Instead of screening for fast-growing companies, their team looks for fundamental "change"—in management, regulation, or technology. They believe this change is the root cause that ultimately begets identifiable growth.
Alger's "lifecycle change" strategy targets mature companies often mistaken for value stocks. They look for catalysts—like new management or technological shifts (e.g., AI boosting hard drive demand)—that can reignite a growth trajectory where the market doesn't expect it.
Ankur Crawford's thesis posits that as AI automates software creation, the cost to create code approaches zero, eroding incumbents' moats. The economic value will migrate from software and IT services to the underlying hardware and networking layers that enable this exponential innovation.
The AI buildout is unlikely to suffer a massive oversupply crash because it is constrained by real-world factors beyond chips: a lack of power, data centers, and even skilled trades like electricians. This acts as a natural governor, creating a longer, more durable investment cycle.
When asked what she'd tell her younger self, Ankur Crawford replied, "nothing." She believes her most painful mistakes were her most valuable learning moments, branding her with experiences that shaped her investment process. She would not want to shortcut that journey.