Speaker · Updated
Ulrike Hoffmann-Burchardi: latest market views
UBS Global Wealth Management
Summary
Ulrike Hoffmann-Burchardi is Chief Investment Officer for the Americas and Global Head of Equities at UBS Global Wealth Management, a former Tudor Investment Corporation quant macro and tactical asset allocation investor of nearly 25 years who now leads UBS's equity views on AI, power and resources, and longevity themes.
Chorus has 14 views from Ulrike Hoffmann-Burchardi across 3 episodes on UBS On-Air since October 12, 2026.
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Newest first. Every quote is checked against the episode's transcript.
Big Tech platforms & digital ads
Digital economy stocks face AI disruption as agents take over commerce and question advertising efficacy.
Digital economy stocks remain at risk. AI agents will likely take over more and more digital commerce, which questions the efficacy of advertising. The recent lack of momentum in the core business of some digital incumbents in last week's earnings added to these concerns. The roughly $1 trillion advertising market is therefore susceptible to AI disruption.
“We continue to see risk to the digital economy stocks. They are prey to AI disruption from agents that will likely take over more and more digital commerce, questioning the efficacy of advertising.”at 0:54
AI coding tools make software easy to replace, leaving the roughly $500B SaaS market exposed to disruption.
AI coding tools make it easy to replace existing software with better and cheaper offerings. Because of this, the roughly $500 billion software-as-a-service market is susceptible to disruption by AI, which is why it sits alongside advertising among the exposed digital-economy segments.
“AI coding tools make it easy to replace software with better and cheaper offerings. ... the $500,000,000,000 software as a service markets are susceptible to disruption by AI.”at 1:09
AI-resilient quality stocks should complement AI beneficiaries, since quality has beaten broader indices.
Quality has outperformed the world and broader US indices by well over 1% annually over the last ten years. Indices tend to include digital incumbents whose moats are being tested by AI-native competitors. The speaker therefore suggests overlaying an AI-resiliency factor and focusing on basic-needs sectors such as healthcare and consumer staples, to complement AI beneficiaries in a diversified equity portfolio.
“Over the last ten years, quality has outperformed the world and broader US indices by well over 1% annually. ... we suggest overlaying an AI resiliency factor and focus on subsections of the economy that are based on basic human needs, such as healthcare and consumer staples.”at 1:42
Outpatient clinical operators are AI-resilient, protected by physical presence and certificate-of-need barriers.
Publicly traded operators of physical medical centers and rehabilitation facilities are protected by a physical footprint and regulatory barriers. Local zoning and certificate-of-need rules require a new competitor to prove unmet demand, which gives incumbents a localized geographic monopoly. With an ageing demographic tailwind, the subsector delivers non-cyclical revenue that is insulated from immediate AI replacement risk.
“The economic [moat] protecting these businesses is twofold: it is physical and it is wrapped in regulatory barriers. ... This grants existing operators a localized geographic monopoly.”at 2:34
Agriculture & food commodities
Crop processors controlling ports and mills are AI-resilient toll takers earning a spread on each ton.
Within consumer staples, agricultural [processors] control physical bottlenecks. They operate ports and mills that turn raw crops into essential ingredients, and they collect a spread on every metric ton processed. Because the business is physical and bottleneck-based, it is considered insulated from AI disruption.
“Within this space, agricultural [processors] act as an industrial tool both by operating ports and mills that turn raw crops into essential ingredients. They collect a spread on every metric ton processed.”at 3:24
Shipping, trucking & logistics
Food distributors' refrigerated truck networks and hubs act as toll bridges that are AI-resilient.
Food distributors use networks of refrigerated trucks and distribution hubs as centralized toll bridges. They charge a markup to move products to fragmented end markets such as restaurants and hospitals. This physical network position is presented as a toll-taking model insulated from AI replacement.
“food distributors utilize their networks of refrigerated trucks and distribution hubs as centralized toll bridges. They charge a markup to transfer products to fragmented end markets like restaurants and hospitals.”at 3:42
Membership warehouses are AI-resilient toll takers, with recurring annual fees cushioning retail volatility.
Membership warehouses leverage scale to sell goods near cost, which makes them a retail-interface toll taker. They cushion retail volatility with an annuity by charging consumers a recurring annual fee. This recurring fee income makes the model a defensive, AI-resilient consumer staples segment.
“Membership warehouses leverage scale to sell goods near cost. They cushion retail volatility with an annuity by charging consumers a recurring annual fee.”at 4:00
AI infrastructure & data centers
Higher rates raise financing risk for leveraged neocloud providers, possibly forcing restructuring or bankruptcy despite strong demand.
Neoclouds spend billions upfront on AI chips, data centers, power and networking, often before the associated revenue is realized. They then try to recover the investment through multi-year customer contracts. Much of this expansion is debt-financed, including floating-rate debt, so higher borrowing costs hit immediately. As an illustration, a provider with 10 billion of floating-rate debt would pay about 200 million more in annual interest if rates rose two percentage points, with no added GPU or customer. Higher rates also raise hurdle rates, so projects that worked at cheap financing may no longer earn adequate returns. The result can be a mismatch: a provider with strong demand, high utilization and valuable assets may still lack cash flow after interest and capex. That is a financing problem, not a demand problem. If a provider cannot meet its obligations, its assets can be sold to another operator. This creates short-term noise while a new owner absorbs the capacity, so ownership may change while demand for the capacity remains. The speaker still calls highly leveraged infrastructure investments riskier with higher rates.
“If the increased financing costs cannot be offset with higher compute prices, it could force highly leveraged providers into restructuring or even bankruptcy.”at 0:55
UBS On-Air: Signal Over Noise: Amid neocloud noise, AI demand remains the signal ·
AI infrastructure & data centers
Rising AI GPU rental prices show compute demand outstrips supply, so compute providers keep pricing power.
Rising rental prices are the best sign that demand exceeds supply. SemiAnalysis composite indices track the USD price per GPU hour to rent AI compute. One-year rental contracts for several generations of AI chips all show strong year-over-year pricing trends. H100 and A100 contracts are sharply higher year over year, and the most performant B200 instances are still at recent highs, up about 60% since last October. Cloud providers should therefore be able to raise prices when contracts come up for renewal. This pricing power means financing stress at individual neoclouds should not be treated as evidence that compute demand is weakening. Firm GPU pricing also suggests higher financing costs can be offset through higher prices on contract renewals. Even in a rate-driven distress, valuable GPU assets can be transferred to stronger balance sheets, leaving the structural semiconductor demand story intact.
“One year rental contracts for different generations of AI chips all show strong pricing trends year over year.”at 4:03
UBS On-Air: Signal Over Noise: Amid neocloud noise, AI demand remains the signal ·
AI infrastructure & data centers
Hyperscaler earnings next week should show continued cloud compute strength, given firm rental pricing.
The speaker expects continued cloud compute strength to appear in upcoming hyperscaler earnings next week. The expectation follows from the firm rental pricing for AI compute, where GPU rental contracts show strong year-over-year gains and cloud providers should be able to raise prices at renewal. The call is that the strength in compute pricing will be visible in the reported results of the large cloud providers in the coming week.
“We therefore expect continued cloud compute strength to show in upcoming hyperscaler earnings next week.”at 4:32
UBS On-Air: Signal Over Noise: Amid neocloud noise, AI demand remains the signal ·
S&P 500 stock prices are justified only if the roughly 30% profit growth Wall Street expects is delivered.
Wall Street expects S&P 500 profits to surge by over 30% this year, roughly five times the long-term historical average. The speaker argues the signal that matters most is company profit growth. If companies deliver those results, stock prices make sense; if profits fall short, stock valuations could pull back quickly.
“If companies deliver those results, stock prices make sense. But if profits fall short, stock valuations could pull back quickly.”at 0:51
UBS On-Air: Signal over Noise: S&P 500 earnings are tethered to private fund flows ·
Chipmakers drive 42% of S&P 500 earnings growth, with semiconductor revenue heading toward $1 trillion this year.
Semiconductor makers account for 42% of total S&P 500 earnings growth this year, the largest single driver of the profit engine. Private AI investment is a large part of the demand behind this: a huge portion of the private AI funding goes directly toward buying chips and cloud infrastructure. That spending is helping propel S&P 500 semiconductor industry revenues toward $1 trillion by the end of the year, and the continuing flow of private funding is expected to remain a tailwind for public semiconductor earnings.
“Semiconductor makers drive an impressive 42% of total S and P earnings growth and major cloud providers and other hardware vendors at least another 10%.”at 1:40
UBS On-Air: Signal over Noise: S&P 500 earnings are tethered to private fund flows ·
Private AI funding is fueling compute demand, a continuing tailwind for public chip and cloud earnings.
Private investment in AI reached over $500 billion in just the first nine months of this year, surpassing total private AI funding from 2023 through 2025 combined. A large share of that money goes directly to buying chips and cloud infrastructure, which drives demand for compute. Although competition is fierce and not every startup will win, the speaker sees the continuous influx of private funding as a tailwind for public semiconductor and cloud earnings for the foreseeable future.
“In just the first nine months of this year, private investment in AI reached over 500,000,000,000, surpassing total private funding from 2023 through 2025 combined.”at 2:24
UBS On-Air: Signal over Noise: S&P 500 earnings are tethered to private fund flows ·
AI infrastructure & data centers
AI infrastructure earnings growth should stay resilient despite higher interest rates hurting other parts of the economy.
Over half of this year's S&P 500 profit growth is linked directly to AI compute demand. Semiconductor makers drive 42% of total S&P earnings growth, and major cloud providers and other hardware vendors add at least another 10%. Private AI labs and big tech are spending heavily on compute hardware, and private AI funding is a continuing tailwind for public chip and cloud earnings. Higher interest rates are a headwind for parts of the economy, but the speaker expects structural earnings growth in AI infrastructure to remain resilient, and recommends maintaining exposure to AI as one of three structural investment pillars.
“While higher interest rates create headwinds for parts of the economy, structural earnings growth in AI infrastructure is likely to remain resilient.”at 3:24
UBS On-Air: Signal over Noise: S&P 500 earnings are tethered to private fund flows ·
Shows
- UBS On-Air · 3 episodes
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