Inside Schroder Investment Management Group’s 2026-Q1 Rotation Into AI Infrastructure

The biggest adds by dollars are not random; they map cleanly to three deliberate bets: AI hardware leadership, low-drama beta, and a handful of high-volatility growth names where Schroders believes the market is mispricing durability.

On the AI hardware side, the pattern is unmistakable:

• Nvidia: modest +4.5% share add but still the single largest line at 6.25%, signalling ongoing belief that GPU scarcity and pricing power persist.
• Apple: a +21.6% add, lifting it to 4.15%, looks like a vote that the device ecosystem will still be a primary on-ramp and distribution layer for AI services.
• Broadcom and Arm: adds of 4.0% and +102.2% in shares, respectively, extend the bet from GPUs into networking, custom silicon and IP licensing – the less glamorous but essential components of the AI stack.

They also leaned into a more defensive core with:

• Vanguard VOO and iShares IVV: +16.1% and +15.2% share growth, respectively, a classic move to thicken S&P 500 beta exposure when single-stock dispersion is brutal.

And they’re selectively punching into volatile growth:

• MercadoLibre and Spotify: +39.6% and +38.7% share adds, respectively, suggest conviction that Latin American e-commerce/fintech and global audio streaming have reached scale and margin inflection points that the market isn’t fully paying for yet.
• Johnson & Johnson: a hefty +57.1% increase, unusual after the GLP-1 hype wave, pointing to a desire to re-anchor healthcare exposure in diversified, litigation-cleared cash machines.

If the buys tell you where conviction is building, the trims show where Schroders thinks the risk/reward has flipped from asymmetric upside to funding source.

The most aggressive cuts are in consumer internet and the GLP-1 complex:

• Netflix: a -55.5% reduction and the largest dollar trim reads like a straight profit harvest after a sharp re-rating in streaming economics.
• Tapestry and Tencent Music: -24.4% and -4.5% in shares show waning enthusiasm for discretionary and China-exposed consumer stories where volume and pricing power look less robust.
• Eli Lilly: a -40.0% cut despite a gain vs cost north of +300% is the textbook “take chips off the table” in a GLP-1 name that has become a sentiment barometer.

They are also subtly rebalancing within big tech and semis:

• Alphabet (GOOGL), Microsoft, and Taiwan Semi see trims of -7.1%, -2.8%, and -17.8% in shares, respectively. These are not thesis reversals; they look like position-size discipline and a desire to recycle gains from front-page AI stories into the less-crowded infrastructure layer and into energy.

Beyond that, cuts to Salesforce, Emerson, Howmet Aerospace and HDFC Bank point to a willingness to admit that some pre-AI software, industrial and EM financial exposures now offer poorer marginal returns on risk capital compared with chips, power and index beta.

The sector bar chart makes something clear: this is not a wholesale de-grossing; it is a rotation inside risk, with tech still firmly on top but taking a different shape.

Key moves across the book:

• Technology ticks up from 55.48% to 56.51%, but the incremental dollars tilt toward semiconductors and infrastructure (Nvidia, Broadcom, Arm, Arista, Vertiv, KLA, Cadence) rather than pure ad/search or pre-AI SaaS.
• Consumer discretionary steps down from 14.07% to 12.44%, as they cut Netflix, Tapestry, TJX and Booking while still backing idiosyncratic winners like Spotify and Sea. That’s a rotation away from broad consumption beta toward specific, scaled platforms.
• Healthcare slips from 5.52% to 5.02% as they offload Lilly but counterbalance with a large add to Johnson & Johnson and a modest increase in Medtronic, shifting from high-expectation obesity plays toward more diversified pharma/medtech cash flows.

Elsewhere, the direction is more straightforward:

• Energy rises from 1.24% to 1.68% with sizable increases in ConocoPhillips and Exxon — essentially buying more upstream free cash flow as a hedge against both inflation and any hiccups in AI growth expectations.
• Consumer staples edges up via Coca-Cola and Monster, classic ballast to offset the higher-volatility growth names.
• The “unclassified” bucket (VOO, IVV, GEV) nudges higher, with more S&P 500 ETF exposure explicitly cushioning single-name risk.

Put together, this quarter reads like Schroders leaning into a barbell between AI infrastructure and resilient cash engines, financed by trimming the most consensus, multiple-rich winners.

On one side of that barbell sit Nvidia, Apple, Broadcom, Arm, Arista, Cadence, Vertiv and TSM (even after trims) — a lattice of compute, connectivity and design tools that benefit from AI demand even if specific consumer apps disappoint. Spotify, MercadoLibre and Sea layer on top as scaled, data-rich platforms where AI can deepen moats rather than just juice short-term headlines.

On the other side are ConocoPhillips, Exxon, Coca-Cola, Monster, Johnson & Johnson, Chubb and the S&P 500 ETFs. Those provide the cash-flow ballast and liquidity that let them stay aggressive in AI and select EM/consumer names through volatility.

The big message is not that Schroders is “de-risking” — tech concentration above 56% says otherwise. It’s that they are trying to own the toll roads and cash spigots behind the AI and consumption narrative, while liberating capital from the tradeable, story-driven edges of GLP-1, streaming, and fashion retail.

If the AI cycle proves more durable than the faddish front-end apps, this portfolio tilt should increasingly look like a measured, infrastructure-first way to stay long innovation without being hostage to the latest hype wedge.