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The firm's machine-learning risk indicator now treats U.S.-China competition over compute, access, and AI governance as a defining fault line for global markets.
The competition to lead in artificial intelligence has moved well beyond Silicon Valley pitch decks. According to BlackRock’s latest Geopolitical Risk Dashboard update, it is now a defining fault line in global geopolitics, sitting alongside active military conflicts as a top-tier systemic risk for investors.
BlackRock flagged the intensifying race for AI supremacy as a core driver of geopolitical fragmentation in its most recent dashboard refresh, with the firm’s proprietary BlackRock Geopolitical Risk Indicator placing U.S.-China technology competition among the highest-priority threats it currently tracks.
What the dashboard actually measures #
The BlackRock Geopolitical Risk Indicator, known internally as the BGRI, is not a gut-feel reading of the news cycle. It uses machine learning models, including neural-network language processing, to systematically analyze financial news and brokerage research and then quantify how specific geopolitical events are likely to move asset prices.
The framework pairs that indicator with what BlackRock calls Market-Driven Scenarios, a methodology for stress-testing portfolios against discrete geopolitical outcomes rather than broad macro assumptions.
The dashboard itself has been running since 2018, but the machine learning backbone and the expanded focus on technology competition represent a meaningful evolution from its original design.
Three pressure points driving the update #
BlackRock’s updated framework identifies three interlocking risks pulling global markets toward fragmentation.
First, the Iran conflict remains what the dashboard categorizes as a top global risk factor. The ongoing instability affects energy markets, realigns defense relationships, and complicates the alliance structures that underpin global trade.
Second, and more structurally significant for the long run, is the U.S.-China competition over advanced technology. The contest now extends to who sets the rules governing artificial intelligence, who controls the compute infrastructure that trains frontier models, and who has preferential access to the semiconductor supply chain. BlackRock’s framework treats this as a governance competition as much as an economic one.
Third, the dashboard captures how governments worldwide are responding to both of those pressures by aggressively prioritizing national security, economic resilience, and strategic sovereignty. That shift in government posture is reshaping where capital flows, as infrastructure, defense-adjacent technology, and domestic semiconductor capacity all benefit from state-directed investment.
Why AI governance is the new terrain #
BlackRock is not simply noting that AI companies are valuable assets. The dashboard is flagging that control over AI development pipelines, from training compute to model deployment to regulatory standards, is becoming a geopolitical instrument.
BlackRock’s decision to formalize this within a risk dashboard, rather than treating it as a speculative long-term theme, signals that the firm views the near-term market implications as material.
The firm has also launched a podcast series discussing how AI is reshaping global power dynamics, suggesting the dashboard update reflects a broader internal research push rather than a one-off commentary.
What this means for investment positioning #
Governments leaning into security and sovereignty are channeling capital toward infrastructure buildouts, domestic technology production, and defense. The fragmentation BlackRock is documenting is, in the firm’s framing, an accelerating structural shift. Supply chains that once ran on just-in-time efficiency are being replaced with just-in-case redundancy.
For technology investors specifically, the AI governance competition adds a layer of regulatory and geopolitical risk that has not historically been priced into growth multiples for software and semiconductor companies. Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our