RiverPark Long/Short Fund Falls 9.77% in Q1 2026 as AI Disrupts Software Holdings

The Quick Take

• RiverPark Long/Short Opportunity Fund (RLSIX) declined 9.77% in Q1 2026 as software holdings faced AI-driven volatility.
• The fund's Q1 drawdown reflects a broader long/short software strategy being tested by AI disruption reshaping revenue models across legacy and cloud software companies.
• The fund's Q1 commentary provides a rare sell-side-quality analysis of which software business models face structural risk from AI versus which are positioned to benefit.

RiverPark Long/Short Opportunity Fund declined 9.77% in Q1 2026, a performance result that reflects the deep uncertainty AI is injecting into software equity valuations. Long/short strategies in software have historically generated alpha by identifying companies with durable competitive moats versus those facing competitive pressure — a task substantially complicated by generative AI, which is simultaneously disrupting legacy enterprise software revenue streams and creating outsized growth opportunities for AI-native platforms. The fund's Q1 loss suggests its long book underperformed the hedges, indicating net exposure to the software companies whose models are most AI-disrupted rather than the beneficiaries.

Q1 2026 marked a particularly difficult period for long/short software managers as AI disruption narratives created violent intraday rotations that punished both long and short positions depending on the day's prevailing macro narrative. Companies perceived as AI losers — traditional IT services, legacy middleware, and custom enterprise software — faced sharp sell-offs that benefited short books, then recovered on AI partnership announcements that squeezed shorts. The RLSIX drawdown of nearly 10% in a single quarter is material for a fund that typically targets single-digit annual volatility, suggesting risk management may have been overwhelmed by the speed of AI sentiment rotations.

Watch for RiverPark's full Q1 commentary publication, which typically details specific long and short positions or at minimum the thesis behind major performance detractors. For long/short software investors, the key analytical question is identifying which software sub-categories — IT services, cloud infrastructure, SaaS CRM, security — have AI disruption already priced in versus which still carry overvalued legacy multiples. The macro variable is the pace of enterprise AI adoption: faster adoption accelerates both the disruption of legacy software revenues and the growth of AI-native platform revenues, compressing the window available for long/short managers to identify mispriced securities before the market re-rates.

Synthesized from 1 source.