Tech

Cisco Executive Bets Big on Gen Z to Rewrite Legacy Code

Cisco’s top product executive is challenging conventional corporate wisdom regarding experience, appointing a 27-year-old former startup founder buried deep within the company’s organizational chart to spearhead a massive code-rewriting initiative. Jeetu Patel, Cisco’s president and chief product officer, discovered Padmanabhan Krishnamurthy—affectionately known as Paddy—five levels below his own office. Krishnamurthy joined the $429 billion tech giant in 2025 following Cisco’s acquisition of EzDubs, the real-time translation startup he co-founded in 2023. Despite holding prior CEO experience, Krishnamurthy was initially assigned to unstrategic tasks until an impromptu conversation in Cisco’s San Francisco office changed his trajectory.

Recognizing an opportunity to modernize legacy software, Krishnamurthy proposed rewriting Cisco’s existing codebase with a two-person team. Patel granted him four weeks to demonstrate feasibility, with the ultimate objective of refactoring 98% of Cisco’s legacy code within a 24-month window, complete with an allocation of unlimited AI tokens. Patel argues that institutional reliance on decades of tenure stifles innovation. In his view, seasoned professionals possess valuable operational knowledge but lack the naive curiosity necessary to challenge established practices.

Integrating younger talent alongside veteran staff inevitably sparks friction, an outcome Patel actively encourages. He maintains that ideological tension improves decision-making, provided leaders foster sufficient organizational trust to pursue unreasonable goals. This philosophy extends beyond internal promotions to recruitment efforts at academic institutions. Patel recounted meeting Baya, a 17-year-old Stanford scholarship student who quietly observed a university talk before following up via monthly email updates regarding her AI insights. That persistent communication earned her a Cisco internship, during which she successfully redesigned a feature that had eluded veteran staff.

Other prominent investors and executives are similarly prioritizing early-career talent over seasoned resumes. Josh Kushner, founder of Thrive Capital, deliberately recruits individuals with fewer than four years of industry experience. When Kushner launched his venture capital firm at age 26, he faced pressure to hire older veterans, but realized that experienced professionals seldom wish to report to a young founder. That strategy yielded early investments in high-value startups, including OpenAI. Despite his firm’s growth and ability to attract industry veterans, Kushner continues to seek out young, driven candidates.

A similar mindset is driving Alon Chen, founder and CEO of generative AI platform Tastewise, which serves clients such as PepsiCo, Nestlé, and Mars. Chen actively recruits entry-level workers because they approach problem-solving without conventional boundaries. Having grown up immersed in digital ecosystems, these digital natives exhibit what Chen describes as an innate alignment with artificial intelligence. Musician and technology investor Will.i.am shares this perspective, focusing his investments on young innovators at institutions like MIT and Stanford whom he views as uniquely native to emerging technological paradigms.

Patel attributes this shifting recruitment philosophy directly to the maturation of artificial intelligence, arguing that modern enterprises require a balanced organizational ecosystem. According to Patel, an optimal team structure consists of three distinct cohorts: one-third experienced operators who understand corporate mechanics, one-third market-driven systems thinkers, and one-third AI-native entrepreneurial founders operating in developer mode. By merging these varied viewpoints, Patel believes companies can achieve unprecedented operational acceleration.

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