NextFin News - BlackRock has moved emerging-market equities back to overweight, betting that the artificial-intelligence investment cycle is finally paying off in earnings rather than promises. The upgrade, issued Sept. 15, 2026, marks a decisive shift for the world's largest asset manager: after years of treating EM as a value trap, strategists now argue that the profit growth they have been waiting for has arrived, and that it is concentrated in the countries and companies that sit inside the AI supply chain.
The move is not a blanket endorsement of the asset class. BlackRock's own research this year has been pointedly selective — favoring EM countries that manufacture critical AI components and commodity exporters, while calling the China AI trade stock-specific rather than regional. What has changed is the evidence. Earnings in the AI-linked parts of emerging Asia are no longer a narrative about capital expenditure; they are a print that is beating expectations by a wide margin.
The Upgrade: What Changed Between Neutral and Overweight
For most of the past decade, the case for emerging markets rested on cheapness. It was the classic value argument: EM equities trade at a persistent discount to U.S. stocks, so eventually the gap must close. That argument kept failing because the discount kept having a reason to exist — weaker governance, dollar strength, commodity dependence, and a chronic absence of earnings momentum.
BlackRock's September upgrade flips the script. The driver is not valuation alone; it is earnings arriving on schedule. The asset manager's strategists framed the call around two forces working together: the AI investment cycle, which is now generating real revenue for hardware suppliers, and a broader earnings recovery that has lifted EM profit expectations into territory that can support a re-rating.
The timing matters. In April, BlackRock said it would "re-up risk in the U.S. and EM due to strong corporate earnings expectations and limited accrued damage to global growth." Five months later, the EM call has graduated from a risk-on expression to a formal overweight. The intervening period delivered the proof: second-quarter earnings in Asia ex-Japan grew at a triple-digit pace, with a beat rate that left misses far behind.
There is a second, quieter shift embedded in the upgrade. BlackRock has been arguing all year that traditional, country-by-country portfolio construction is losing its usefulness in a world shaped by what it calls "mega forces" — AI, demographic change, geopolitical fragmentation, and the energy transition. "What matters more is what a company actually does and the drivers of its revenue, not the country where its stock happens to be listed," the firm said in June. The overweight is the practical application of that principle: it is a bet on business models, not on geography.
That distinction separates this upgrade from the reflexive "buy the dip" calls that have burned EM investors repeatedly. BlackRock is not arguing that the entire asset class has become cheap. It is arguing that a specific slice of it — the exporters of semiconductors, components, and the infrastructure that powers data centers — has crossed from story stocks into earnings stocks. The overweight is the recognition that the market has been pricing EM as a single bloc while the underlying reality has split in two.
Why the AI Cycle Now Runs Through Emerging Markets
The first-order story is simple: AI spending is moving downstream. The first wave of the boom rewarded the U.S. designers of chips and models. The second wave is rewarding the manufacturers, the component suppliers, and the utilities that make the buildout physically possible. That second wave lands disproportionately in emerging Asia.
The numbers show the transmission. Taiwan's weighted stock index has risen more than 56% year-to-date, and the government has lifted its 2026 GDP growth forecast to 11.05% — a figure driven almost entirely by semiconductor and AI-related exports. South Korea's benchmark Kospi has been carried to record territory by memory-chip demand, with one major bank setting a 12-month target of 12,000 that implies roughly 79% upside from earlier levels. The iShares MSCI Taiwan ETF gained nearly 67% this year through early June, while the iShares MSCI South Korea ETF more than doubled, up 109%.
These are not speculative reratings. They are earnings-led. Goldman Sachs reported that second-quarter earnings for the MSCI AC Asia Pacific ex-Japan Index grew 102% year over year, with 44% of companies beating estimates against just 27% missing. Earnings growth was led by Singapore, Taiwan, and Indonesia — precisely the export-oriented, hardware-heavy end of the market that BlackRock has been highlighting. The beat rate is the mechanism: when nearly half the index surprises to the upside, analyst estimates begin to rise, and rising estimates are what pull a cheap market toward fair value.
The broader emerging-market complex has participated, though less dramatically. The iShares MSCI Emerging Markets ETF was up 26% as of early June, a strong year but one that still trails the AI hardware leaders. That dispersion is exactly what BlackRock's stock-specific framework predicts: the AI boom is not lifting all boats equally. It is rewarding the scarce inputs — advanced packaging, memory, power equipment, grid infrastructure — and leaving the rest behind.
"What matters more is what a company actually does and the drivers of its revenue, not the country where its stock happens to be listed."
The implication for the overweight is direct. An investor who buys "emerging markets" as a country basket is not making BlackRock's trade. The overweight works only if the capital is pointed at the companies whose revenue actually comes from the AI buildout, or from the commodity and infrastructure complex that supports it.
The Valuation Gap: Why the Trade Still Has Room
The second pillar of the upgrade is that the starting point remains cheap. In February, JPMorgan equity strategists noted that emerging-market equities were trading at 13 times their 12-month forward price-to-earnings ratio — a 33% discount to U.S. stocks — and were still "significantly underowned in the average portfolio." By March, other investors were putting the discount to developed markets at roughly 28%, with higher earnings-growth expectations on the EM side.
That combination — low starting valuation plus accelerating earnings — is the classic setup for outperformance. It does not require EM to become expensive. It only requires the discount to narrow partway. If forward P/E expands from 13x toward 15x while earnings grow in the mid-teens, the arithmetic produces a double-digit return without any multiple reaching U.S. levels.
The math is worth laying out because it is what makes the call credible. U.S. equities, by contrast, need earnings to keep growing into already-elevated multiples. A 15% earnings gain in the U.S. can be fully absorbed by a multiple that compresses from 22x to 20x, leaving the investor with nothing. The same earnings gain in EM, starting from a 33% discount, compounds with multiple expansion instead of fighting it. That asymmetry is the core of the overweight thesis.
There is also a positioning tailwind. JPMorgan recorded $55.5 billion of inflows into emerging markets in the first part of 2026, nearly double the full-year 2025 figure. That sounds large, but after years of underweighting, institutional allocations to EM remain below their long-run averages. A market that is underowned does not need a large amount of new buying to move; it needs a change in conviction. BlackRock's upgrade is an attempt to supply exactly that.
The valuation argument also explains why the call is not a mirror image of the U.S. overweight. BlackRock remains bullish on U.S. equities, where AI leadership in chips, frontier models, and deep capital markets is unmatched. The EM overweight is not a rotation out of the U.S.; it is a complement to it — a way to own the manufacturing layer of the same cycle at a lower price.
The Transmission Mechanism: From Capex to Earnings to Re-rating
Understanding why this upgrade is different requires tracing the full chain, because most EM bull calls die somewhere in the middle of it. The sequence runs: hyperscaler capital expenditure rises; order books at foundries and memory makers fill; utilization rates climb; pricing power returns in tight segments like advanced packaging and high-bandwidth memory; revenue converts to earnings because the capacity was already built; analysts raise estimates; and only then does the multiple expand.
The critical link is the third one — pricing power. In previous cycles, EM exporters gained volume without price, so revenue rose faster than profit. This cycle is different because the bottlenecks are real. Advanced packaging capacity cannot be replicated quickly; high-bandwidth memory requires process leadership that only a handful of producers hold; and the power equipment needed for data centers has multi-year backlogs. When supply is inelastic, the marginal dollar of AI demand flows to the supplier, not the buyer. That is why earnings are growing faster than revenue in the hardware chain, and why the re-rating has substance behind it.
The second-order effect is what the market has not fully priced. As EM hardware earnings compound, the region's current-account balances improve, which strengthens local currencies against a dollar that is no longer in a unilateral hiking cycle. A stronger real, won, or baht then feeds back into those same companies' local-currency earnings and lowers the risk premium foreign investors demand. The virtuous circle is the opposite of the 2022 dynamic, when a strong dollar drained liquidity from EM and forced central banks to choose between defending their currencies and supporting growth.
The Counter-Thesis: A Cyclical Capex Wave, Not a Structural Re-rating
The strongest case against the upgrade is that it mistakes a cyclical upswing for a regime change. Emerging markets have been here before: a commodity or technology upcycle produces a burst of outperformance, capital floods in, and the following downturn wipes out the gains. The 2022 drawdown, when EM equities fell alongside the dollar's surge and the rate-hiking cycle, is still fresh.
The specific vulnerability now is the AI capital-expenditure cycle itself. Causeway Capital warned in July that an AI capex slowdown is the single biggest risk facing emerging markets. The logic is unforgiving: EM's current earnings strength is concentrated in the hardware suppliers to hyperscalers. If Microsoft, Alphabet, Meta, or Amazon trim their data-center spending plans, the order books of Taiwanese foundries and Korean memory makers are the first to empty. A modest appreciation in the U.S. dollar would compound the damage, since much of that revenue is dollar-denominated while costs are local.
There are also domestic limits to the boom. Taiwan's own economists have cautioned that 11% GDP growth is not sustainable, pointing to stagnant real wages and an economy overly exposed to a single global cycle. China, the largest weight in most EM benchmarks, remains a problem rather than a catalyst. BlackRock's own July assessment of Chinese AI was blunt: "Cheap, open-source AI could drive adoption, but that doesn't necessarily translate into AI-provider profitability." With the MSCI China index down more than 10% for the year while U.S. indexes climbed, the drag from China is the clearest argument that this is a narrow, stock-specific rally rather than a broad EM renaissance.
BlackRock's answer to this counter-thesis is embedded in the design of the call. The firm is not arguing that emerging markets have structurally re-rated. It is making a tactical overweight grounded in a specific, time-bound earnings cycle. That makes the call more defensible than a structural bull case — a cyclical thesis does not need EM to escape its history, only to ride the current wave. But it also makes the position more fragile. A tactical overweight must be exited when the cycle turns, and the signal that the cycle is turning is the same one that would prove the thesis wrong.
What to Watch: The Signal That Breaks the Trade
The overweight thesis rests on two conditions holding: that AI-related earnings in emerging Asia keep surprising to the upside, and that the hyperscaler capex cycle does not stall. The falsifying signal is therefore concrete. If second-quarter-style earnings momentum fades — if MXAPJ earnings growth falls back toward single digits for two consecutive quarters — the re-rating engine stops. More directly, if the major U.S. technology companies guide AI capital expenditure lower for 2027, the revenue pipeline for EM hardware suppliers shortens, and the overweight loses its foundation.
Secondary signals matter as well. A sustained dollar rally would pressure EM currencies and compress local-currency returns for foreign investors. A sharp rise in oil prices would hurt the large group of EM economies that are net energy importers, even as it helps the commodity exporters BlackRock favors. And the China question remains the wildcard: any meaningful policy-driven recovery in Chinese earnings would lift the whole index, while further deterioration would cap it.
Outlook: Three Horizons, Three Scenarios
Short term, sentiment and positioning support the trade. The upgrade itself is likely to draw follow-on buying from institutions that benchmark against BlackRock, and the earnings beat rate is still running hot. Momentum favors the overweight.
Medium term, the test is delivery. Earnings expectations have risen with the index; the next two quarters must confirm that the AI revenue is recurring rather than a one-time inventory restocking. If estimates keep rising, the valuation gap closes further. If they stall, the 13x forward P/E was fair value, not a bargain.
Long term, the structural case remains unproven. For EM to escape its cyclical history, its companies would need to move up the value chain — from contract manufacturing and commodity extraction into proprietary technology and branded platforms. Nothing in the current data confirms that shift. The overweight should be read as a call on this cycle, not on a permanent change in EM's place in the global market.
The base case is that emerging markets outperform developed peers over the next 12 months, led by Taiwan, Korea, and the AI hardware supply chain, with commodity exporters as a secondary beneficiary. The upside case is a capex supercycle that extends into 2027, closing the valuation discount more aggressively. The downside case is a 2022-style reversal: an AI spending pause, a stronger dollar, and a rapid unwinding of the positioning that has just begun to flow in.
BlackRock's upgrade is not a bet on emerging markets as a whole. It is a bet on the factories inside them — the companies that build the chips, the servers, and the power systems that the AI economy cannot run without. That distinction is what makes the overweight credible, and what will determine whether it ages well.
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