Scottish Mortgage is Baillie Gifford's flagship investment trust (founded 1909, LSE ticker SMT), known for its maximalist growth style — long-term stakes in Tesla, Amazon and ASML plus bold allocations to private companies like SpaceX and ByteDance. It is the UK retail investor's flagship vehicle for global disruptive growth.
Scottish Mortgage fund believes big returns come from a few winners, so it bets heavily on space and AI. It's optimistic that AI demand will far outstrip supply, benefiting key players. Top holdings: SpaceX (over 15% of the fund, Starlink's revenue is booming as launch costs fall); NVIDIA (the AI chip leader, earning a 'royalty' from any AI model); Moderna (using mRNA for a cancer vaccine, with positive trial results for melanoma).
One-sentence summary: Scottish Mortgage firmly believes in asymmetric returns driven by a few "big winners", with a key focus on AI infrastructure and space commercialization, while maintaining selective optimism on healthcare and luxury goods【Optimistic】.
SpaceX already accounts for over 15% of the portfolio, and the author believes it exemplifies asymmetric returns. Slater's original quote is: "Returns are driven by a small number of big winners. Our job is to try to maximise the return from those big winners for our shareholders." The position is not immediately sellable; lock-up periods are lifted in tranches, allowing the fund to gradually reduce the stake to balance risk and return. Burns notes that SpaceX's core value lies in drastically reducing the cost to reach orbit: Falcon 9 has already cut launch costs per kilogram from $18,000–19,000 to around $2,700, while Starship aims to bring it down to $100–200. This low cost has enabled Starlink, which now generates annualized revenue of $17 billion, up nearly 70% year-over-year, with an operating margin close to 40%. Burns describes SpaceX as "in effect, a near monopoly on access to the rest of the universe." Although the valuation is high, the author argues that the multiple businesses within Starlink's scale are sufficient to support long-term returns.
Burns favors chip-layer companies — NVIDIA, TSMC, ASML, and SK hynix — arguing they sit at bottlenecks in the supply chain and can collect a royalty on AI development. He calls this "a royalty on the development of AI." The author judges that regardless of which model or application wins, these companies will benefit. For mature enterprises, technology alone is not enough; founder leadership, corporate culture, talent, and proprietary data are key. Burns cites Shopify for its early AI focus and Mercado Libre for leveraging transaction and financial data to expand into advertising and credit. Slater also emphasizes that the scale of AI investment must coexist with risk, but he challenges the traditional definition of risk: "Risk is not volatility. Volatility is inevitable. Risk is much more about permanent loss of capital."
Slater believes AI computing demand will outstrip current infrastructure supply, and while the path is volatile, the direction is clear. High-frequency users are consuming more tokens, and the gap with median users is widening. Programming has already clearly generated economic value, and agentic models will further consume compute power. Google, Amazon, and Meta can fund their investments from their own cash flows, while other companies rely on debt, equity, or supplier credit. Slater argues that as long as technology continues to improve, compute demand will "outstrip what can be built today." Burns observes that over the past 18–24 months, corporate attitudes toward AI have shifted from experimentation to clear expectations — improving products, accelerating revenue, or reducing costs — with some already considering restructuring their organizations around AI models. He emphasizes that this is not just about headcount but "having different people in different roles." Slater adds that today's models are "the worst form of AI we'll ever have" and will continue to improve.
In healthcare, the report favors Moderna and Enveda, but remains cautious; Ferrari and Hermès provide scarcity-value hedges; PsiQuantum is a long-term bet on quantum advantage.
The article clearly outlines Scottish Mortgage's investment philosophy: betting on a few "big winners," accepting high valuations and volatility in exchange for long-term asymmetric returns. A bias in the institutional perspective is that the author holds positions in SpaceX (15% weighting), Starlink, and other private assets, so the discussion of their valuations and market prospects naturally carries a bullish tilt. Readers should be aware that the report does not fully address regulatory risks, technological bottlenecks, or the possibility of competitors (e.g., Chinese commercial space companies).
| Position | Direction | Author's Stance in One Sentence | Key Data |
|---|---|---|---|
| SpaceX | Hold / Watch | Seen as a typical big winner, accounting for >15% of the portfolio; can gradually reduce to balance risk-reward | Portfolio weight >15%; Falcon 9 cost down to ~$2,700/kg, Starship target $100-200; Starlink annual revenue $17B, YoY+70%, margin ~40% |
| NVIDIA | Not specified | Positioned at the AI chip supply chain bottleneck, can collect AI development royalties | None |
| TSMC | Not specified | Same as above, monopoly position in chip manufacturing | None |
| ASML | Not specified | Same as above, key supplier of lithography equipment | None |
| SK hynix | Not specified | Same as above, key supplier of HBM memory | None |
| Moderna | Hold / Watch | mRNA platform potential remains but COVID demand declining; positive Phase 3 signal for melanoma is encouraging | Positive signal from Phase 3 melanoma trial |
| Enveda | Not specified | Uses AI to search for useful compounds in nature; selectively bullish, adoption in healthcare is slow but potential returns high | None |
| Ferrari | Not specified | Scarcity + low volume growth + pricing power, can diversify tech portfolio | None |
| Hermès | Not specified | Same as above, mature brand with enduring value | None |
| PsiQuantum | Not specified | Quantum computing early stage, small position, bullish on long-term simulation advantages | None |