MARKET INSIGHTS

Weekly market commentary

27-Jul-2026
  • BlackRock Investment Institute

Cheaper AI, new earnings questions

Market take

Weekly video_20260727

Natalie Gill

Senior Portfolio Strategist

BlackRock Investment Institute

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CAPITAL AT RISK. MARKETING MATERIAL.

Opening frame: What’s driving markets? Market take

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Title slide: Cheaper AI, new earnings questions

This earnings season comes with unusually high expectations. But we think the focus should not just be on earnings beats, but on whether today’s extraordinary profit levels can be sustained as cheaper AI models reshape the economics of AI - a key theme in our Midyear Outlook. And clues are likely to come from earnings call commentary rather than from headline results.

1: Exceptional AI earnings pace

Exceptional earnings growth – not re-rating - has driven US equity returns this year, meaning valuations on a forward P/E basis don’t look so stretched if you believe this earnings strength is durable. That leaves investors looking beyond quarterly beats to what could sustain or erode the underlying driver of earnings strength, which has been the unprecedented speed and scale of the AI buildout.

2: Who captures economic rent?

The rising cost of enterprise AI, combined with the emergence of powerful Chinese AI models and other open-weight alternatives, raises a broader question: as competition intensifies, who will capture the economic rent? This earnings season is a chance to assess how companies will respond. We think the availability of cheaper AI models could create price pressure on other models and change the winners, but not the overall investment case. It reinforces our preference for AI infrastructure over the increasingly competitive model layer.

3: The changing landscape

This quarter’s headline earnings are unlikely to capture the true implications of the recent shift toward lower-cost and open-weight AI models. So, instead, investors should focus on hyperscaler capital spending plans, what management teams say on the changing competitive landscape and how companies across the broader economy are responding to the rising cost of AI.

Outro: Here’s our Market take We remain overweight the AI theme, but it requires selective and active positioning. Rather than trying to identify long-term winners in the increasingly competitive model layer, we prefer investing around AI scarcity such as power and data center infrastructure.

Closing frame: Read details: blackrock.com/weekly-commentary

AI durability

US earnings remain exceptionally strong. But the focus should also be on AI profit durability, not just another round of earnings beats.

Market backdrop

Geopolitics drove markets last week. Renewed Middle East supply risks and US tariff tensions pushed oil briefly above $100 a barrel and Treasury yields higher.

Week ahead

The Federal Reserve takes center stage this week. Its rate decision, alongside US GDP and PCE inflation data, could reinforce our high-for-longer rate view.

This earnings season comes with unusually high expectations. Consensus expects a second consecutive quarter of more than 20% S&P 500 earnings growth, driven largely by the AI buildout. Early results have again exceeded forecasts. Yet the bigger question is whether today’s extraordinary profit levels can be sustained as cheaper models reshape the economics of AI, a key theme in our Midyear Outlook. The clues are more likely to come from earnings calls than from headline results.

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High expectations

S&P 500 12-month forward earnings, 2012-28

The chart showsS&P 500 12-month forward earnings, 2012-28

Forward-looking estimates may not come to pass. Source: BlackRock Investment Institute with data from LSEG Datastream, July 24, 2026. Notes: The dotted line shows the 20-year linear trend on a logarithmic scale, representing the long-run compound earnings growth path. The July 2028 projection is based on the latest 12-month forward earnings estimate and consensus expected earnings growth from months 12 to 24.

US equities do not look especially expensive on a forward price-to-earnings basis, but cyclically adjusted (Shiller CAPE) valuations remain historically rich. The difference reflects consensus expectations that today’s extraordinary earnings growth, supported by the unprecedented speed and scale of the AI buildout, will persist rather than revert to historical norms. See the chart. Whether that assumption holds is the question. The emergence of powerful Chinese AI models, including Moonshot's Kimi K3, could put it to the test. As competition intensifies, the debate is no longer just who will build the best model, but who will capture the economic rent. We think cheaper AI changes the winners, not the investment case. Instead, it reinforces our preference for AI infrastructure over the increasingly competitive model layer.

The cost of AI is emerging as a key concern for companies deploying it. Gartner expects worldwide spending on AI models and platforms to reach $64 billion in 2026, up 63% from 2025. As enterprise AI bills rise, companies have a stronger incentive to contain costs through model routing and lower-cost models. Reflecting that shift, OpenRouter data on the 10 most widely used AI models show Chinese models processing roughly 23 trillion tokens a week, compared with about 12 trillion tokens for US rivals. Together, these trends could erode the pricing power of frontier model developers even as AI adoption accelerates. Meanwhile, AI sovereignty is encouraging countries and companies to build their own AI capabilities, reinforcing demand for open-weight models and the infrastructure needed to train, host, and deploy AI at scale.

Earnings calls test AI’s winners

It is too early for this quarter’s reported earnings to reveal the impact of lower-cost and open-weight AI models. Instead, the first clues are likely to come from management commentary on earnings calls. We will be listening for two sets of signals. From hyperscalers, we want to know whether they remain committed to the AI buildout through their capital spending plans, how they balance capital discipline in a higher cost of capital environment, and whether those investments are generating returns. Alphabet’s earnings last week sharpened that focus after free cash flow turned negative for the first time. Decisions on whether and how to deploy lower-cost models on cloud platforms also matter because hyperscaler cash flows — and increasingly, debt financing — fund much of today’s AI ecosystem. From companies across the broader economy, we will look for comments on how they are responding to rising AI costs and the increasing importance of AI sovereignty, including how that is shaping model routing, model choice, and returns on AI adoption. Together, these discussions could offer clues about whether greater competition changes the winners rather than the investment case.

Our bottom line

Recent developments may shift where AI’s economic rent is captured. But cheaper models could also broaden AI adoption while AI sovereignty reinforces demand for AI infrastructure. We remain overweight on the AI theme, but it requires increasingly selective and active positioning. Rather than trying to identify long-term winners in the increasingly competitive model layer, we prefer investing around AI scarcity. More broadly, the US still stands out for resilient corporate earnings, even outside the AI ecosystem.

Market backdrop

Geopolitical risks returned to the fore last week. A sharp escalation in the Middle East conflict, alongside new global tariffs announced by US President Donald Trump, pushed Brent crude oil prices briefly back above $100 a barrel and lifted 10-year Treasury yields to their highest levels since early 2025 as markets priced in a greater inflation risk. Technology shares also came under pressure after Alphabet raised its capital spending plans, with the Nasdaq ending the week down more than 1%.

Markets face a packed week against a backdrop of escalating Middle East tensions and President Trump’s new global trade tariffs. Investors will watch policy decisions from the Federal Reserve, Bank of England, and Bank of Japan, alongside US GDP and PCE inflation data. Together, they will test whether resilient growth and sticky inflation still support our high-for-longer rate view.

Week ahead

S&P 500 12-month forward earnings, 2012-28

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 July 23, 2026. Notes: The two ends of the bars show the lowest and highest res at any point year to date, and the dots represent current year-to-date res. Emerging market (EM), high yield and global corporate investment grade (IG) res are denominated in US dollars, and the rest in local currencies. Indexes or prices used are: spot Brent crude, ICE US Dollar Index (DXY), spot gold, spot bitcoin, MSCI Emerging Markets Index, MSCI Europe Index, LSEG Datastream 10-year benchmark government bond index (US, Germany and Italy), Bloomberg Global High Yield Index, J.P. Morgan EMBI Index, Bloomberg Global Corporate Index and MSCI USA Index.

July 27

Japan services PPI

July 29

Fed rate decision

July 30

US GDP and PCE; EU GDP and unemployment; BoE rate decision

July 31

BoJ rate decision; EU HICP; UMich sentiment; China PMI

Read our past weekly commentaries here.

Intersecting mega forces

Since we launched our mega forces framework it has become clearer how their intersection shapes almost all our investment views and opens up alpha opportunities. They cut across asset class labels, spurring a rethink of portfolio construction. Investors need to be deliberate about the economic or thematic exposures they own, the vehicles they use to implement them and their investment horizons.

The chart shows BlackRock's five mega forces framework and how their intersection shapes investment views and opens up investment opportunities.

From drivers to portfolio expressions

Our highest conviction views, July 2026

Note: Views are from a US dollar perspective, July 2026. 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. 

Asset class implications

Six- to 12-month tactical positioning, July 2026

This shows the implementation of our key investment views from the previous page through an asset class lens.

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 US 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, July 2026

Legend Granular

We have lengthened our tactical investment horizon back to six to 12 months. The table below reflects this and, importantly, leaves aside the opportunity for alpha, or the potential to generate above-benchmark returns – especially at a time of heightened volatility.

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, July 2026. 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.

Meet the authors

Jean Boivin
Head – BlackRock Investment Institute
Wei Li
Global Chief Investment Strategist – BlackRock Investment Institute
Carrie King
Global Chief Investment Officer, Fundamental Equities – BlackRock
Natalie Gill
Senior Portfolio Strategist – BlackRock Investment Institute

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