Meta, amortisation and capex concerns

Dan Ives joins The Master Investor Podcast with Wilfred Frost for a high‑energy deep dive into the AI revolution, Big Tech’s next decade, and how to navigate the most powerful tech bull market of our lifetimes.

From backing visionaries like Elon Musk, Satya Nadella and Jensen Huang early, to calling generational winners such as Apple, Tesla, Nvidia, Microsoft and Palantir, Ives explains why he believes we are still only in the “10:30pm” phase of a tech party that could run until 4am – and why fears of an AI bubble, overbuilt data centres, or cloud reversal are overdone.

In this episode, Dan breaks down why only a small fraction of companies have truly embraced AI so far, why US tech is now ahead of China, and how hyperscalers and second‑ and third‑derivative names – from chips to cybersecurity and infrastructure – could drive years of earnings growth (including CoreWeave, Pegasystems and Iren Ltd). He digs into Nvidia’s dominance, the competitive landscape around Google’s Gemini and OpenAI, the future of Apple’s AI strategy and ecosystem, the political and geopolitical risks around TSMC, and why he still sees at least two more years left in this tech bull market.

Wilfred also presses Dan on the bear cases: stretched valuations, AI capex amortisation, the risk of data moving off the cloud, and whether retail investors can maintain their edge in an AI‑driven research world. Dan responds with his framework for looking 3–5 years out, betting on innovators over spreadsheets, and the importance of “feet on the street” research – including three and a half million air miles across Asia and beyond.

Beyond his day job at Wedbush, Dan opens up about launching the IVES ETF, a concentrated basket of 30 high‑conviction AI names across chips, software, infrastructure, power and more, now managing over a billion dollars in assets. He also discusses his role as chairman of ORBS, a listed play on human‑proof authentication and Worldcoin’s iris‑scanning technology, and why he sees crypto and AI converging rather than competing.

The conversation finishes on a personal note, with Dan reflecting on building a distinctive personal brand – bold calls and bold clothes – and his single biggest piece of advice for aspiring master investors: know your risk profile, build a process, and don’t let macro noise or social media shake you out of well‑researched convictions.

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