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Episode 416 · 2026-10-19 · 56:17 · Original in Finnish

Megatrends for Equity Returns | Pasi Havia | Neuvottelija 416

Originally published as “Megatrendeillä osaketuottoa | Pasi Havia | Neuvottelija 416”

Pasi Havia, portfolio manager of United Bankers' UB Megatrendit fund, explains how he builds a portfolio around four megatrends: artificial intelligence and digitalisation, electrification and the energy transition, population ageing, and European defence. The fund returned more than 26 per cent in its first seven months, driven above all by AI-infrastructure names Micron, Broadcom, Lumentum and AMD. The conversation asks whether machines' insatiable demand for memory can break the semiconductor industry's old cycles, and why traditional valuation multiples lose their explanatory power under exponential growth. It also looks at circular financing in the AI value chain, companies competing with governments for capital, regulatory risk in China and Europe's position in the AI race. Sami prepares for his own AI investing challenge and tests his thesis that machines will replace human labour.

Guest: Pasi Havia · Host: Sami Miettinen

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Key moments

  1. 00:00 — Investing is not a mathematical equation you can solve
  2. 01:21 — Pasi Havia and UB Megatrendit introduce themselves
  3. 02:36 — Seven months and a return of more than 26 per cent
  4. 03:05 — Sami's AI investing challenge for next year
  5. 03:48 — The fund's four megatrends and their weights
  6. 04:59 — Megatrend weights can be changed flexibly
  7. 05:47 — AI replacing human labour as a new megatrend
  8. 06:35 — Physical AI and production moving closer to home
  9. 07:56 — From globalisation to localisation in the shadow of the Strait of Hormuz
  10. 08:40 — The United States, China and Europe in the AI race
  11. 09:40 — Why investing in China does not appeal
  12. 10:20 — The memory boom, and Micron instead of Korean chipmakers
  13. 11:40 — Micron's multiples stay low as earnings grow
  14. 13:03 — Machines' insatiable appetite for chips drives demand
  15. 14:03 — Nvidia, AI agents and edge computing
  16. 15:07 — European picks ASML and BE Semiconductor
  17. 15:55 — Custom chips: Broadcom, Google and Amazon
  18. 16:36 — Why SpaceX and Anthropic do not fit the fund
  19. 19:05 — Peer analysis and looking behind the multiples
  20. 20:40 — Musk's conglomerate and key-person risk
  21. 22:18 — Lumentum as precise exposure to data-centre optics
  22. 23:56 — Circular financing in the AI value chain
  23. 25:10 — Competition for capital and rising long-term rates
  24. 27:44 — Multiples break down under exponential growth
  25. 28:57 — The long underperformance of value investing, and momentum
  26. 30:30 — Defence, ESG and responsible investing
  27. 32:30 — NATO's five per cent target and European defence
  28. 33:13 — The Taiwan threat and China's timetable
  29. 34:48 — State ownership as a risk in defence companies
  30. 36:32 — Picks TKMS and Theon International
  31. 37:01 — The energy transition and America's ageing power grid
  32. 38:08 — The transformer shortage and the ban on Chinese imports
  33. 38:37 — Constellation, Quanta, GE Vernova and Vertiv
  34. 39:27 — AI agents picked Nexans over Vertiv in Sami's test
  35. 40:39 — Eli Lilly and Novo Nordisk in weight-loss drugs
  36. 43:01 — Geographic diversification and Chinese regulatory risk
  37. 44:57 — European regulation and Mistral's new model
  38. 46:28 — Finland's power grid and the data-centre opportunity
  39. 49:09 — Favourite stock Micron and long customer contracts
  40. 50:20 — Memory prices rise on data-centre buying power
  41. 51:23 — Physical AI as Micron's new business
  42. 52:38 — Local compute and open models at home
  43. 53:35 — Volatility and a long time horizon
  44. 55:02 — Sami's challenge and closing words

Summary

Who he is. Pasi Havia manages United Bankers’ UB Megatrendit equity fund, which started on 6 March 2026; he joined United Bankers in January 2026 after more than a decade at Helsinki Capital Partners. He has managed funds professionally for about twelve years and already used megatrends in his previous fund.

Four megatrends. More than 60 per cent of the fund sits in AI and digitalisation, deliberately overweighted because that is where Havia sees the biggest return potential right now. Electrification and the energy transition is the second-largest theme, and population ageing and European defence take about 10 per cent each. The weights are a view, not a fixed allocation: Havia can shrink AI and grow less correlated themes if the cycle turns. In its first seven months the fund returned more than 26 per cent after fees.

Machines as the customer. Havia’s central idea is that demand for compute and memory no longer comes from people but from machines, “and they are insatiable”. Tokens were first consumed by people, now mostly by AI agents, and next by physical AI and edge devices that must process locally because the latency to a data centre is too long. He calls this Sami’s “nasty megatrend number one”: if machines replace human labour, they also replace human consumption.

The Micron paradox. Micron, Havia’s favourite holding, has risen about 500 per cent in a year while its multiples have stayed where they were, because the market keeps pricing it at the peak of the cycle. Havia points out that the company itself expects memory to be tighter in 2027 than in 2026, has no visibility on when supply and demand balance, and is signing long agreements with customers out to 2031. He chose an American memory maker over Samsung and SK Hynix to limit political risk.

Laser-precise exposure. Within AI he buys the narrowest points of the value chain: Broadcom as the designer of Google’s and Amazon’s custom chips, ASML and BE Semiconductor from Europe, and Lumentum rather than Nokia or Coherent for data-centre optics. Only profitable companies qualify, so SpaceX and Anthropic stay out. Multiples, he argues, break down under exponential growth: Nvidia’s P/E fell from about 100 to about 30 and Palantir’s from 600–700 to about 150 as earnings grew. Sami counters that a 5 per cent earnings yield now competes with a returned risk-free rate, and that governments compete with trillion-dollar companies for capital. Both accept that circular financing in the AI chain cannot be avoided, and Havia expects value investing, after almost 20 years of underperformance, to come back brutally one day.

Defence, energy and ageing. In defence Havia avoids state-owned companies and holds TKMS and Theon International, citing NATO’s 5 per cent target, Europe’s underinvestment and a possible Taiwan crisis around 2027–2028. In energy he covers America’s ageing grid layer by layer with Constellation Energy, Quanta Services, GE Vernova and Vertiv; Sami’s AI agents had picked Nexans instead. In ageing he prefers Eli Lilly to Novo Nordisk, partly for political risk. He does not invest in China, because Western owners do not get to benefit from the returns, as his earlier holding Huya showed overnight. The episode closes with Europe’s regulatory handicap, Finland’s case as a data-centre country and Sami’s plan to run local AI models for next year’s challenge. Nothing in the episode is investment advice.

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The recording lives on the Neuvottelija channel: Megatrendeillä osaketuottoa | Pasi Havia | Neuvottelija 416. A Finnish edition of this episode is published at www.neuvottelija.fi.

In depth

The Neuvottelija AI editions carry a long-form, fact-checked write-up of this episode: English · suomeksi.

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Guests: Pasi Havia

Topics: Investing & Markets AI & Enterprise Tech

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Source and content status

Provenance: Finnish source: Owner page assembled from YouTube metadata, the neuvottelija.fi episode record and the publisher's own chapter marks, translated one for one; every chapter mark falls on a transcript cue. The summary was written from the episode's Finnish subtitle track as uploaded to YouTube, which carries no speaker labels, so speakers were inferred from the conversation; quotations are translated for sense, not verbatim. No English caption track exists, so no transcript is published here. Figures quoted by the participants are their own estimates; the AI articles check them against public sources and flag the divergences. Nothing in the episode is investment advice.. English subtitles: not available on this page; this is an episode summary, not a curated transcript. QA coverage 100% (transcript timecoded). Original episode: neuvottelija.fi. Imported 2026-10-19 · last reviewed 2026-10-19. Passages the source audio left genuinely ambiguous are marked [unclear] rather than guessed.