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Robocap UCITS Fund Surges 18.28% in April as AI Hardware and Semiconductor Automation Lead Rally

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Predrag Shipov
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Hedge Fund Alpha table of Robocap UCITS Fund monthly net performance from 2016 through April 2026, with each calendar month plus the annual year to date figure; strongest years 49.78% (2017), 48.41% (2023) and 47.31% (2020), drawdowns of 36.63% (2022) and 16.15% (2018), and up 14.58% YTD in 2026. Source: Robocap UCITS Fund factsheet.
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Robocap UCITS Fund delivered an 18.28% return in April, extending its year-to-date gain to 14.58%. Accelerating adoption of artificial intelligence and automation technologies continued to drive equity markets. The $128 million fund, managed by Jonathan Cohen, benefited from broad-based strength across AI-related industries, including semiconductor automation and AI hardware. Robust corporate earnings and growing evidence of commercial AI deployment reinforced investor confidence in the long-term growth prospects of the sector.

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Hedge Fund Alpha Table Of Robocap Ucits Fund Monthly Net Performance From 2016 Through April 2026, With Each Calendar Month Plus The Annual Year To Date Figure; Strongest Years 49.78% (2017), 48.41% (2023) And 47.31% (2020), Drawdowns Of 36.63% (2022) And 16.15% (2018), And Up 14.58% Ytd In 2026. Source: Robocap Ucits Fund Factsheet.
Robocap Ucits Fund Monthly Net Performance, 2016 To April 2026. Three Years Above 47 Percent (2017, 2020, 2023) And Two Negative Years (2022, 2018); Up 14.58 Percent Year To Date In 2026. Source: Robocap Ucits Fund Factsheet. Chart By Hedge Fund Alpha, Hedgefundalpha.com.

AI Investment Cycle Continues to Gather Momentum

April proved strong for companies exposed to artificial intelligence, robotics, and automation. Earnings results across the technology ecosystem validated the bullish investment case for AI. AI hardware, cybersecurity, and semiconductor automation sectors drove the bulk of monthly gains. This momentum reflected growing demand for computing infrastructure to support sophisticated AI applications.

A key development during the month was the market’s recognition that future inference-focused AI data centers may require higher CPU-to-GPU ratios. This shift boosted sentiment toward companies such as AMD, Intel, and ARM. While the fund favors other pure-play options, the trend reinforces its 22% allocation to the broader semiconductor sector. The fund also noted that hyperscale cloud providers continue to invest in AI infrastructure despite mounting pressure on free cash flow, underscoring the intensity of demand for advanced computing capacity.

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