Build wealth with an AI strategy
15 shares selected by the CULTAMU AI across US and European exchanges β a 3 year buy and hold strategy.
β LIVE PRICES β 30 Aug 2026, 16:58 UTC
β PLAN ENTRY 30 Aug 2026
| # | Share | Exchange | Sector | Weight | Price | Day | Shares | Position | 3Y Target | Risk |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | NVDA NVIDIA Corporation | πΊπΈ NASDAQ | Semiconductors | 10.0% | $217.55 | βΌ 4.58% | 45 | $9,790 |
$16,085
@ $357
|
High |
| AI thesis: Core AI infrastructure holding. Data-center compute demand is contracted years ahead and the CUDA software moat keeps pricing power intact over the full 3 year horizon. Expected return 18.0% p.a. over 3 years. | ||||||||||
| 2 | MSFT Microsoft Corporation | πΊπΈ NASDAQ | Software / Cloud | 9.0% | $513.53 | β² 1.68% | 17 | $8,730 |
$12,597
@ $741
|
Medium |
| AI thesis: Azure plus the enterprise licence base gives recurring cash flow with an AI upsell attached to almost every seat. The defensive anchor of the growth sleeve. Expected return 13.0% p.a. over 3 years. | ||||||||||
| 3 | AAPL Apple Inc. | πΊπΈ NASDAQ | Consumer Tech | 7.0% | $319.70 | β² 1.63% | 21 | $6,714 |
$8,694
@ $414
|
Low |
| AI thesis: Installed base of over two billion devices converts hardware cycles into high margin services revenue. Buybacks add a steady tailwind to earnings per share. Expected return 9.0% p.a. over 3 years. | ||||||||||
| 4 | ASML ASML Holding N.V. | π³π± Euronext AMS | Semicap | 7.0% | $1,696.16 | βΌ 2.24% | 4 | $6,785 |
$10,319
@ $2,580
|
High |
| AI thesis: Monopoly supplier of EUV lithography. Every leading edge fab built in the next three years has to buy here, which makes it a levered play on the same AI cycle as NVDA. Expected return 15.0% p.a. over 3 years. | ||||||||||
| 5 | GOOGL Alphabet Inc. | πΊπΈ NASDAQ | Communication | 7.0% | $346.59 | β² 1.74% | 20 | $6,932 |
$9,739
@ $487
|
Medium |
| AI thesis: Search cash flow funds Cloud and DeepMind. Trades at a discount to the other mega caps, so the AI option is close to free at the entry valuation. Expected return 12.0% p.a. over 3 years. | ||||||||||
| 6 | AMZN Amazon.com Inc. | πΊπΈ NASDAQ | Consumer / Cloud | 6.0% | $266.43 | β² 3.97% | 22 | $5,861 |
$8,457
@ $384
|
Medium |
| AI thesis: Retail margin recovery plus AWS reacceleration. Advertising is the quiet third engine and carries the highest incremental margin of the three. Expected return 13.0% p.a. over 3 years. | ||||||||||
| 7 | LVMUY LVMH MoΓ«t Hennessy | π«π· Euronext PAR | Luxury Goods | 6.0% | $106.56 | β² 2.29% | 56 | $5,967 |
$7,517
@ $134
|
Medium |
| AI thesis: Brand portfolio with genuine pricing power through inflation cycles. Bought into a soft Asian demand patch, which is exactly what a 3 year horizon is for. Expected return 8.0% p.a. over 3 years. | ||||||||||
| 8 | NVO Novo Nordisk A/S | π©π° Nasdaq CPH | Healthcare | 6.0% | $45.61 | βΌ 1.41% | 131 | $5,975 |
$8,171
@ $62
|
Medium |
| AI thesis: Metabolic disease franchise with capacity finally catching up to demand. Structural, non cyclical growth that balances the technology weighting. Expected return 11.0% p.a. over 3 years. | ||||||||||
| 9 | SAP SAP SE | π©πͺ XETRA | Enterprise Software | 6.0% | $221.54 | β² 0.17% | 27 | $5,982 |
$8,404
@ $311
|
Low |
| AI thesis: The cloud migration of the ERP base is a multi year revenue conversion with visible backlog. Europes most reliable large cap software compounder. Expected return 12.0% p.a. over 3 years. | ||||||||||
| 10 | UNH UnitedHealth Group | πΊπΈ NYSE | Health Insurance | 6.0% | $392.95 | βΌ 0.53% | 15 | $5,894 |
$7,633
@ $509
|
Medium |
| AI thesis: Optum diversifies away from pure underwriting risk. Demographics guarantee volume growth regardless of where the economic cycle sits in 3 years. Expected return 9.0% p.a. over 3 years. | ||||||||||
| 11 | JPM JPMorgan Chase & Co. | πΊπΈ NYSE | Financials | 6.0% | $357.62 | β² 0.96% | 16 | $5,722 |
$7,208
@ $450
|
Medium |
| AI thesis: Best capitalised money center bank. Benefits whichever way rates move: net interest income if they stay high, capital markets fees if they fall. Expected return 8.0% p.a. over 3 years. | ||||||||||
| 12 | SIEGY Siemens AG | π©πͺ XETRA | Industrials | 6.0% | $167.37 | β² 0.13% | 35 | $5,858 |
$7,379
@ $211
|
Low |
| AI thesis: Direct exposure to factory automation, grid build out and rail electrification, the three areas European infrastructure money is actually being spent on. Expected return 8.0% p.a. over 3 years. | ||||||||||
| 13 | NSRGY NestlΓ© S.A. | π¨π SIX Zurich | Consumer Staples | 6.0% | $97.28 | β² 0.09% | 61 | $5,934 |
$7,068
@ $116
|
Low |
| AI thesis: Defensive ballast with a dependable dividend. Its job in this portfolio is to lose less when the AI names correct, not to lead the returns. Expected return 6.0% p.a. over 3 years. | ||||||||||
| 14 | XOM Exxon Mobil Corp. | πΊπΈ NYSE | Energy | 6.0% | $156.71 | β² 0.17% | 38 | $5,955 |
$6,894
@ $181
|
Medium |
| AI thesis: Inflation and geopolitical hedge. Low cost Guyana and Permian barrels keep free cash flow positive well below the current oil price. Expected return 5.0% p.a. over 3 years. | ||||||||||
| 15 | BRK-B Berkshire Hathaway B | πΊπΈ NYSE | Diversified | 6.0% | $505.00 | β² 0.26% | 11 | $5,555 |
$7,194
@ $654
|
Low |
| AI thesis: A cash rich conglomerate that becomes a buyer of quality assets in any drawdown. Effectively the portfolios built in dry powder position. Expected return 9.0% p.a. over 3 years. | ||||||||||
The full $100,000 is not deployed on a single day. The AI splits every position into three monthly tranches to average the entry price and take the timing risk out of the start.
No selling on headlines. Dividends are reinvested into the position that has drifted furthest below its target weight, which enforces buying the laggards.
Any holding that grows past 1.5Γ its target weight is trimmed back. Proceeds move to the underweight names so no single winner can dominate the risk.
Positions that reached their 3 year target price are reduced to lock in the gain. Cash builds towards the next cycle, keeping the reserve for the following entry.
Register once, then run your own portfolio with $100,000 of starting capital.
Newest company and market news from the stock exchanges in the US and Europe.
Newest developments in the technology shares β and what each company is investing in.
Ranked by remaining upside to the AI 3 year target price. Spending figures are AI estimates of the annual run rate, not audited accounts.
Shipments of the latest accelerator generation have moved from allocation to volume, and the mix keeps shifting toward full rack-scale systems rather than single cards. That lifts revenue per deployment even in quarters when unit growth flattens.
Capital goes into supply-chain pre-payments and advanced packaging rather than fabs β the company stays fabless. Multi-year commitments lock in packaging and high-bandwidth memory capacity, with buybacks funded straight from operating cash flow.
High-NA systems are moving from pilot placements into ordered volume for the next logic node. The order book, not shipped revenue, is the leading indicator here β and it turns on customer fab decisions taken years in advance.
Expanding home capacity and building out the supplier ecosystem for High-NA. R&D is the moat itself. Cash generation exceeds the reinvestment the business needs, so a steady buyback runs alongside.
Azure growth is limited by capacity rather than demand. The AI services line is now big enough to be called out as its own growth driver, and the assistant attach rate across the enterprise seat base is the number the market re-prices on each quarter.
The heaviest capital programme in the company history: new data-center regions plus custom in-house silicon to cut dependence on merchant accelerators. Roughly half the spend is long-lived shell and land, which management can slow down if demand cools.
Cloud reacceleration is the headline, driven by AI workloads moving out of experimentation into production. Retail margins keep improving as the regionalised fulfilment network matures, and advertising remains the highest-margin engine of the three.
The largest capital programme of any listed company, split between cloud capacity β including in-house training and inference chips β and logistics automation. Expect spending to stay elevated across the full three year horizon.
Migrating the on-premise ERP base to cloud contracts is converting one-off licences into recurring revenue. Current cloud backlog gives unusually good visibility into the next several years compared with the rest of the sector.
Spending goes into AI features embedded in the ERP suite and into restructuring toward cloud delivery. Capital intensity is low next to the hyperscalers, so the story here is margin expansion rather than capacity build-out.
Model integration across Search and the productivity suite is the swing factor, while the cloud division has crossed into sustained profitability. Designing its own accelerators gives it a cost base that rivals renting merchant GPUs cannot match.
Very heavy data-center and accelerator investment, funded entirely out of Search cash flow. Management has signalled it would rather over-build than under-build. The risk to watch is depreciation growing faster than cloud revenue.
The upgrade cycle is being pulled forward by on-device AI features that only run on newer silicon β an installed-base refresh lever the company has not had for several years. Services margin keeps outgrowing hardware margin.
Investment concentrates on custom silicon, an in-house modem programme, and a private AI cloud running on its own chips. Capex stays modest for its size because manufacturing is outsourced; most free cash flow returns to shareholders.
