BlackRock: AI Capex Has Not Peaked — "Speed Meets Scarcity"

BlackRock's 2026 Midyear Investment Forum frames the current phase as "Speed Meets Scarcity" — AI infrastructure buildout is accelerating even faster than expected .

Hyperscaler spending is soaring. Mega-cap hyperscaler investment estimates have jumped sharply in just two quarters, with projected annual spending now approaching $1 trillion by 2028 . The AI buildout's planned capital spending — already historic at the start of 2026 — has only accelerated, according to BlackRock .

Micro is macro. BlackRock's framing is that AI-related capital spending has become large enough to matter beyond the technology sector, with hyperscaler investment plans now approaching a scale that can affect broader markets and the economy . BlackRock estimates that AI-related capex could total between $5 trillion and $8 trillion by 2030, making it "the fastest capital build out ever" .

Infrastructure demand remains central. The cited BlackRock commentary emphasizes the AI buildout's capital-spending acceleration and the scarcity constraints around that buildout, supporting its view that infrastructure remains a key investment focus . The investment cycle is projected to exceed $2.2 trillion in global infrastructure spend by 2028, with hyperscaler capital expenditures expected to reach $610 billion in 2026, up from $360 billion in 2025 .

Portfolio implications. BlackRock's message is that investors should pay attention to the capital-spending cycle behind AI, not only to AI software or applications . The firm stays pro-risk and overweight U.S. stocks on the AI theme .

In short, BlackRock's message is: the cycle is still running, and investors should stay focused on continued AI-led capital investment .

HSBC's Sharp Pivot: Dropping "Overweight" on Emerging Markets

On July 8, 2026, HSBC made a notable tactical shift .

• Closed its "overweight" on EM equities, citing increased volatility in Asia and warning that renewed concerns over weaker AI spending could disproportionately weigh on EM Asian markets .
• Upgraded eurozone stocks to "overweight" instead, while maintaining its maximum overweight on global equities overall .
• HSBC's Chief Multi-Asset Strategist Max Kettner said the decision reflects "heightened volatility in EM Asia," warning that the narrative around AI overspending and any signs of AI capital expenditure being cut "can hurt semi stocks and therefore disproportionately affect EM Asia" .

This is a defensive rotation out of emerging markets and into eurozone stocks, while HSBC still kept its maximum overweight on global equities overall .

However, HSBC is not bearish on AI itself. It simultaneously:

• Signed a multiyear partnership with Google Cloud to roll out AI across its global operations, including projects that can each generate over $100 million in extra revenue or savings .
• Maintains in its house view that rapid AI adoption should remain a defining global theme in 2026, with opportunities widening across the AI ecosystem .
• Says AI applications are multiplying and that investment should continue, benefiting areas such as semiconductors, infrastructure, and electricity plays .

So HSBC's EM downgrade is a tactical risk-management call — not a repudiation of AI investment, but a recognition that EM Asian equities are vulnerable to any negative AI-spending surprise .

The Broader Institutional Divide

• The bull case (BlackRock-led): AI infrastructure is a structural investment theme, and BlackRock says the planned capital spending behind the AI buildout has accelerated, with mega-cap hyperscaler spending estimates approaching $1 trillion annually by 2028 . BlackRock expects another $5-8 trillion in AI-related capex through 2030 .
• The cautious pivot (HSBC-led): Even if AI remains a defining theme, HSBC judged that increased volatility in Asia and renewed concerns about weaker AI spending made EM Asian markets tactically vulnerable . HSBC's own house views have noted that "emerging markets could be well-placed to benefit" from the AI capex boom, but the bank's tactical move reflects shorter-term risk management .
• A wider institutional split is illustrated by these two positions: BlackRock highlights accelerating AI capex, while HSBC keeps a positive global-equity stance but reduces EM exposure because of AI-spending and Asia-volatility risks .

Bottom line: BlackRock sees the AI capex cycle as an ongoing structural mega-trend that still has room to run, based on its view that the AI buildout's planned capital spending has accelerated . HSBC agrees AI is transformative, but it just made a tactical retreat from emerging markets because renewed concerns about weaker AI spending could hit EM Asian markets disproportionately . That tension — structural conviction vs. tactical caution — defines the institutional divide today.

BlackRock: AI Capex Has Not Peaked — "Speed Meets Scarcity"

BlackRock's 2026 Midyear Investment Forum frames the current phase as "Speed Meets Scarcity" — AI infrastructure buildout is accelerating even faster than expected .

Hyperscaler spending is soaring. Mega-cap hyperscaler investment estimates have jumped sharply in just two quarters, with projected annual spending now approaching $1 trillion by 2028 . The AI buildout's planned capital spending — already historic at the start of 2026 — has only accelerated, according to BlackRock .

Micro is macro. BlackRock's framing is that AI-related capital spending has become large enough to matter beyond the technology sector, with hyperscaler investment plans now approaching a scale that can affect broader markets and the economy . BlackRock estimates that AI-related capex could total between $5 trillion and $8 trillion by 2030, making it "the fastest capital build out ever" .

Infrastructure demand remains central. The cited BlackRock commentary emphasizes the AI buildout's capital-spending acceleration and the scarcity constraints around that buildout, supporting its view that infrastructure remains a key investment focus . The investment cycle is projected to exceed $2.2 trillion in global infrastructure spend by 2028, with hyperscaler capital expenditures expected to reach $610 billion in 2026, up from $360 billion in 2025 .

Portfolio implications. BlackRock's message is that investors should pay attention to the capital-spending cycle behind AI, not only to AI software or applications . The firm stays pro-risk and overweight U.S. stocks on the AI theme .

In short, BlackRock's message is: the cycle is still running, and investors should stay focused on continued AI-led capital investment .

HSBC's Sharp Pivot: Dropping "Overweight" on Emerging Markets

On July 8, 2026, HSBC made a notable tactical shift .

• Closed its "overweight" on EM equities, citing increased volatility in Asia and warning that renewed concerns over weaker AI spending could disproportionately weigh on EM Asian markets .
• Upgraded eurozone stocks to "overweight" instead, while maintaining its maximum overweight on global equities overall .
• HSBC's Chief Multi-Asset Strategist Max Kettner said the decision reflects "heightened volatility in EM Asia," warning that the narrative around AI overspending and any signs of AI capital expenditure being cut "can hurt semi stocks and therefore disproportionately affect EM Asia" .

This is a defensive rotation out of emerging markets and into eurozone stocks, while HSBC still kept its maximum overweight on global equities overall .

However, HSBC is not bearish on AI itself. It simultaneously:

• Signed a multiyear partnership with Google Cloud to roll out AI across its global operations, including projects that can each generate over $100 million in extra revenue or savings .
• Maintains in its house view that rapid AI adoption should remain a defining global theme in 2026, with opportunities widening across the AI ecosystem .
• Says AI applications are multiplying and that investment should continue, benefiting areas such as semiconductors, infrastructure, and electricity plays .

So HSBC's EM downgrade is a tactical risk-management call — not a repudiation of AI investment, but a recognition that EM Asian equities are vulnerable to any negative AI-spending surprise .

The Broader Institutional Divide

• The bull case (BlackRock-led): AI infrastructure is a structural investment theme, and BlackRock says the planned capital spending behind the AI buildout has accelerated, with mega-cap hyperscaler spending estimates approaching $1 trillion annually by 2028 . BlackRock expects another $5-8 trillion in AI-related capex through 2030 .
• The cautious pivot (HSBC-led): Even if AI remains a defining theme, HSBC judged that increased volatility in Asia and renewed concerns about weaker AI spending made EM Asian markets tactically vulnerable . HSBC's own house views have noted that "emerging markets could be well-placed to benefit" from the AI capex boom, but the bank's tactical move reflects shorter-term risk management .
• A wider institutional split is illustrated by these two positions: BlackRock highlights accelerating AI capex, while HSBC keeps a positive global-equity stance but reduces EM exposure because of AI-spending and Asia-volatility risks .

Bottom line: BlackRock sees the AI capex cycle as an ongoing structural mega-trend that still has room to run, based on its view that the AI buildout's planned capital spending has accelerated . HSBC agrees AI is transformative, but it just made a tactical retreat from emerging markets because renewed concerns about weaker AI spending could hit EM Asian markets disproportionately . That tension — structural conviction vs. tactical caution — defines the institutional divide today.