ARK Brings OpenAI To ETFs | A Conversation With Cathie Wood & Sarah Friar

ARK Invest is adding OpenAI to three of its ETFs — ARKK, ARKW, and ARKF — following the company's $120+ billion fundraising round. The move reflects OpenAI's mission to ensure «AGI for the benefit of humanity» extends to economic participation, not just technological impact. Sarah Friar emphasizes that every generation builds and benefits from its defining infrastructure, whether railways, electricity, or the internet.

The investment case centers on unprecedented scale: 900 million weekly active users and over 1 million businesses, the fastest deployment the world has seen. Strategic investors including Microsoft, Amazon, Nvidia, A16Z, and Thrive joined the round, signaling deep conviction across the ecosystem. Friar notes that AI is no longer theoretical — most people have tried ChatGPT and experience its benefits daily.

By opening access to everyday investors, OpenAI aims to close the gap between technological advancement and economic opportunity. The company has evolved from a pure research lab in late 2022 into a global-scale, multi-surface platform operating across consumer and enterprise markets, with particularly strong growth in India, Vietnam, and Indonesia mirroring global population distribution.

Sarah Friar is unequivocal: «If you do not have compute, you do not have revenue.» Compute is both OpenAI's competitive advantage and its scarcest resource. The company is making multi-year commitments extending through fiscal years 2031–32, while simultaneously scrambling to secure any last-minute capacity available in 2026. Some opportunities are being foregone today simply because compute isn't available.

This long-term infrastructure imperative explains the scale of OpenAI's fundraising despite its massive user base. The $120+ billion round isn't about surviving — it's about securing the computational foundation required to serve customers, maintain frontier research leadership, and avoid being supply-constrained as demand accelerates. Compute cannot be conjured on demand; it requires years of advance planning and capital commitment.

Friar's dual focus — hunting for immediate 2026 capacity while planning half a decade ahead — illustrates the fundamental tension in scaling AI: customer demand is vertical, but infrastructure timelines are horizontal. The company willing to commit capital today for 2030s compute will control tomorrow's AI economy.

Sarah Friar admits her predictions keep arriving in one year instead of three. She expects new consumer hardware designed for multimodal AI — voice, vision, and touch — to make personal AI assistants universally accessible. The flat smartphone screen and thumb-typing paradigm will give way to devices that hear, see, and respond naturally, putting artificial intelligence at every person's fingertips faster than most imagine.

Scientific breakthroughs are already underway: AI is proving theorems never before solved and publishing advances in physics. OpenAI is focused on chemistry, biology, and material science, with direct applications to renewable energy and sustainable data center power. In healthcare, the convergence of AI, sequencing, and CRISPR gene editing could unlock trillions in value through disease prevention and cures.

Work will transform as mundane, repetitive tasks disappear. Friar is a tech optimist: removing robotic elements from jobs will return people to the work they trained for and actually love — the human aspects machines can't replicate. But she acknowledges tough problems remain around safety, alignment, and responsible deployment. The world is tilting on its axis, and the shift is accelerating.