MARKET INSIGHTS

Weekly market commentary

Patience needed in the AI buildout

­Market take

Weekly video_20240903

Carolina Martinez Arevalo

Opening frame: What’s driving markets? Market take

Camera frame

Markets are questioning whether top tech and cloud firms can deliver on their artificial intelligence investment.

Title slide: Patience needed in the AI buildout

1: Markets questioning AI

Capital spending by these firms has surged as they race to build out AI.

Some recent research from the investment community questions if revenues from AI alone will catch up with this capex.

We think it will take some time for big tech company revenues to reflect their AI capital spending. The AI buildout will take years – not quarters – to complete.

2: Broad-based AI demand

It’s important to distinguish between some of the companies spending big on AI – and the overall macro investment likely going into the AI theme. That has room to ramp up over time.

Nvidia’s Q2 revenues doubling from last year due to demand for its chips shows that AI capex is sizable and ongoing.

We will monitor revenue growth of top AI companies and adoption trends to gauge whether AI capex is paying off.

3: Our roadmap

Our three-phase roadmap helps us assess the potential economic and market impacts of AI.

We see the first phase unfolding now as large tech firms race to invest in data centers.

Outro: Here’s our Market take

Early AI winners include big spenders and chip producers. Beyond that, we see opportunities in firms supplying key inputs like energy, utilities, materials and real estate.

We stay overweight the AI theme but eye signposts to alter our view.

Closing frame: Read details:

AI big spenders

Investors have started to worry about tech companies spending big on artificial intelligence. We focus on the broader story and stay overweight the AI theme.

Market backdrop

U.S. stocks have climbed back near all-time highs. Resilient U.S. growth calls into question the scale of Federal Reserve rate cuts markets have priced.

Week ahead

This week’s U.S. payrolls report should show ongoing job gains even with the rise in unemployment. We don’t think such job gains support recession worries.

Investors are debating whether future revenues for top tech and cloud computing firms could justify billions of dollars of capital spending being poured into artificial intelligence (AI). We think it’s key to distinguish between the individual companies and broader economy when gauging the impact. We’re overweight the AI theme and see winners along the AI supply chain. Yet we eye signposts for changing our view, including stalling revenue growth or sluggish AI adoption.

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Big spending
Major tech and cloud company capital spending, 2007-2024

The chart shows that overall capital spending by major tech and cloud companies has risen exponentially in the past few years.

Past performance is not a reliable indicator of current or future results. Source: BlackRock Investment Institute, with data from LSEG Datastream, August 2024. Notes: The chart shows the combined 12-month trailing capital spending for Microsoft, Amazon, Meta and Alphabet.

In recent months, market buzz over the benefits of AI has flipped to worries that the companies investing big in it may not see the benefits so quickly. We assessed this sudden shift in sentiment with our portfolio managers. Overall capital spending by top tech and cloud players has surged in recent years, especially in energy-hungry data centers, as they race to build out AI. See the chart. Past investment ultimately led to a boost in revenue, helping deliver a return on investment, data from LSEG show. Yet some recent research has questioned if the revenues from AI alone will eventually justify this wave of capital spending on it. When assessing AI capex by individual companies, investors must consider if they are making the best use of their balance sheets and capital. But for the economy overall, we judge AI investment by the major revenue that AI could generate across sectors.

Investment in AI could compare to capital spending on past tech innovations, like cloud computing. Yet it’s possible that shareholders may not see further AI investment as the best use of corporate balance sheets. We see a disconnect between the short-term lens of some investors and the long-term visions of tech and cloud service providers. That divergence has spurred jitters among investors – but we think patience is needed. Some big spenders on AI have earmarked capex for building new data centers and exponentially multiplying processing power for AI. Such plans take years – not quarters – to complete. So it may take some time for revenues to fully realize AI capital spending. Some tech companies are already reporting increasing revenues from the roll out of AI-related products.

Broad-based AI demand

We see room for overall AI capex to spur some of the waves of transformation driven by mega forces, or structural forces shaping returns. Nvidia’s Q2 revenues doubled from a year ago, showing that AI capex is sizable and ongoing. Nvidia’s results highlight how the AI buildout is broadening: more than half its AI revenues came from non-tech sectors. We track a few signposts to assess our upbeat view on the AI theme. First, we look for signs of stalling revenue growth at top AI companies, adding to the importance of each earnings season. Second, we gauge changes in still-low AI adoption beyond the tech sector. Third, we eye any U.S. growth downturn that could spur big tech companies to curb spending.

We use our three-phase roadmap to track the economic and market impact of AI. The first phase – the buildout – is unfolding now as large tech companies race to invest in data centers. Early winners in this phase include those big spenders and chip producers. We also see opportunities in firms supplying key inputs like energy, utilities and real estate. In the second phase, we think AI adoption will expand to sectors beyond tech such as healthcare and financials. This could result in a third phase of broad productivity gains, but the size and impact is uncertain. Our coming research will explore this in more detail.

Our bottom line

Investors are debating the implications of the AI capex boom. Some investors have cut positions in tech in recent months, implying room to rebuild holdings. We stay overweight the AI theme but eye signposts to change our view.

Market backdrop

U.S. stocks have climbed back near all-time highs. The AI trade regained its footing after the volatility in July and early August, even as Nvidia’s shares stumbled on profit taking after its Q2 earnings beat expectations. Broadening Q2 corporate earnings growth, coupled with last week’s upbeat jobless claims and GDP data, show U.S. economic growth is holding up – a positive for risk assets. We think the Federal Reserve is unlikely to cut rates as sharply as markets are pricing in.

U.S. payrolls for August are in focus this week. At the Jackson Hole symposium, Federal Reserve Chair Jerome Powell noted the central bank is now focused more on any softening in the labor market. A further rise in the unemployment rate helped stoke recession fears last month. Yet this was caused by an immigration surge increasing labor supply, not layoffs. We expect this week’s data to show signs of job growth holding up, alleviating lingering growth concerns.

Week ahead

The chart shows that gold is the best performing asset year-to-date among a selected group of assets, while the German 10-year bund is the worst.

Past performance is not a reliable indicator of current or future results. Indexes are unmanaged and do not account for fees. It is not possible to invest directly in an index. Sources: BlackRock Investment Institute, with data from LSEG Datastream as of Aug. 29, 2024. Notes: The two ends of the bars show the lowest and highest returns at any point year to date, and the dots represent current year-to-date returns. Emerging market (EM), high yield and global corporate investment grade (IG) returns are denominated in U.S. dollars, and the rest in local currencies. Indexes or prices used are: spot Brent crude, ICE U.S. Dollar Index (DXY), spot gold, MSCI Emerging Markets Index, MSCI Europe Index, LSEG Datastream 10-year benchmark government bond index (U.S., Germany and Italy), Bank of America Merrill Lynch Global High Yield Index, J.P. Morgan EMBI Index, Bank of America Merrill Lynch Global Broad Corporate Index and MSCI USA Index.

Sept. 4

China Caixin services PMI; U.S. job openings; U.S. trade data

Sept. 5

U.S. ISM services PMI

Sept. 6

U.S. payrolls; euro area employment

Read our past weekly market commentaries here.

Big calls

Our highest conviction views on tactical (6-12 month) and strategic (long-term) horizons, September 2024

  Reasons
Tactical  
AI and U.S. equities We have high conviction that AI can keep driving returns in most scenarios. We see its buildout and adoption creating opportunities across sectors. The AI theme has driven U.S. stock gains and solid corporate earnings, making us overweight U.S. stocks overall.
Japanese equities A brighter outlook for Japan’s economy and corporate reform are driving improved earnings and shareholder returns. We think the Bank of Japan will now be cautious in normalizing policy after its misstep in July.
Income in fixed income The income cushion bonds provide has increased across the board in a higher rate environment. We like quality income in short-term bonds and credit. We’re neutral long-term U.S. Treasuries.
Strategic  
Private credit We think private credit is going to earn lending share as banks retreat – and at attractive returns relative to public credit risk.
Fixed income granularity We prefer intermediate credit, which offers similar yields with less interest rate risk than long-dated credit. We also like short-term government bonds, and UK long-term bonds.
Equity granularity We favor emerging over developed markets yet get selective in both. EMs at the cross current of mega forces – like India and Saudi Arabia – offer opportunities. In DM, we like Japan as the return of inflation and corporate reforms brighten our outlook.

Note: Views are from a U.S. dollar perspective, September 2024. This material represents an assessment of the market environment at a specific time and is not intended to be a forecast of future events or a guarantee of future results. This information should not be relied upon by the reader as research or investment advice regarding any particular funds, strategy or security.

Tactical granular views

Six to 12-month tactical views on selected assets vs. broad global asset classes by level of conviction, September 2024

Legend Granular

Our approach is to first determine asset allocations based on our macro outlook – and what’s in the price. The table below reflects this. It leaves aside the opportunity for alpha, or the potential to generate above-benchmark returns. The new regime is not conducive to static exposures to broad asset classes, in our view, but it is creating more space for alpha. For example, the alpha opportunity in highly efficient DM equities markets historically has been low. That’s no longer the case, we think, thanks to greater volatility, macro uncertainty and dispersion of returns. The new regime puts a premium on insights and skill, in our view.

Past performance is not a reliable indicator of current or future results. It is not possible to invest directly in an index. The statements on alpha do not consider fees. Note: Views are from a U.S. dollar perspective. This material represents an assessment of the market environment at a specific time and is not intended to be a forecast or guarantee of future results. This information should not be relied upon as investment advice regarding any particular fund, strategy or security. 

Euro-denominated tactical granular views

Six to 12-month tactical views on selected assets vs. broad global asset classes by level of conviction, September 2024

Legend Granular

Past performance is not a reliable indicator of current or future results. It is not possible to invest directly in an index. Note: Views are from a euro perspective, September 2024. This material represents an assessment of the market environment at a specific time and is not intended to be a forecast or guarantee of future results. This information should not be relied upon as investment advice regarding any particular fund, strategy or security.

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Authors
Jean Boivin
Head – BlackRock Investment Institute
Beata Harasim
Senior Investment Strategist — BlackRock Investment Institute
Carolina Martinez Arevalo
Portfolio Strategist – BlackRock Investment Institute

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