
PESTLE & MORTAR 30 October 2025
Mamdani’s Election Indicator for U.S. Politics
Milei’s Party Wins Election
Rare Earth Mineral Deal
Cybercrime Trends and Treaty
AI and the Global South
Bias in Technology
Japan Debuts First Yen-Pegged Stablecoin
DeepSeek and Drones
Lithuania Shuts Airport and Borders Over Balloon Breaches
#1
Mamdani’s Election Indicator for U.S. Politics
Zohran Mamdani’s pending victory in the New York mayoral race and Hakeem Jeffries’s reluctant endorsement are a turning point in the Democratic Party’s internal struggle between its establishment and its insurgent left. Mamdani, a 34-year-old democratic socialist from Queens, has become the symbol of an ascendant progressive movement whose organizational muscle, cultural fluency, and mobilization of younger, multiracial urban voters are reshaping the party’s power base in places like Brooklyn. His campaign, backed by grassroots enthusiasm and framed around housing justice and anti-establishment politics, forced figures such as Jeffries and Chuck Schumer, typically seen as pillars of the centrist Democratic establishment, to confront the erosion of their authority among their own constituents. The revolt reflects a generational and ideological shift in which older, donor-aligned leaders tied to Washington are being challenged by activists who view them as complacent managers of inequality and foreign entanglements. Specifically, Mamdani’s election signals that the Democratic Party’s internal balance of power is tilting toward its activist and socialist wing, much as George McGovern’s rise did in the early 1970s. This will likely push the party’s national agenda leftward on housing, labor rights, and foreign policy, while deepening its divide over Israel and the U.S. role abroad. For Jeffries, the success of a figure like Mamdani complicates efforts to project moderation to swing-district voters in 2026. The party now faces a widening tension between urban, progressive enclaves that are setting the cultural and ideological tone and the suburban and moderate districts needed to secure congressional majorities. In the broader context of U.S. politics, Mamdani’s rise accelerates the polarization of the political spectrum as Democrats are becoming more explicitly divided between institutional pragmatists and movement-driven idealists, while Republicans consolidate their populist right.
#2
Milei’s Party Wins Election
President Javier Milei’s decisive midterm victory has transformed Argentina’s political and economic landscape, consolidating his power and strengthening his libertarian experiment. His Freedom Advances party won roughly 41% of the national vote and secured one-third of seats in both congressional chambers—enough to preserve veto power and protect his sweeping decrees. The result, far stronger than predicted, gives Milei renewed legitimacy with investors, the IMF, and Washington, where President Trump has tied substantial financial support—including a $20 billion currency swap and commitments from private lenders—to Milei’s success. Financial markets rallied on expectations that his shock-therapy reforms—peso devaluation, subsidy cuts, and mass layoffs—can continue to stabilize the economy, which now boasts its first balanced budget in more than a decade and inflation down to 32 percent from 200 percent two years ago. Yet these gains have come at a steep social cost: real wages have fallen sharply, poverty afflicts a third of the population, and consumer spending remains weak. For now, the victory buys Milei political time and credibility, ensuring IMF disbursements and a steadier investment climate, but sustaining momentum will require shifting from austerity to growth. Regionally, Milei’s strengthened mandate positions Argentina as the leading free-market counterweight to the leftist governments of Brazil, Colombia, Chile, and Mexico, and his close alignment with Trump anchors a new trans-hemispheric axis of right-wing populism. Whether his experiment becomes a model of liberal revival or a warning against economic extremism will depend on his ability to maintain fiscal discipline while reviving opportunity for an exhausted and skeptical public.
#3
Rare Earth Mineral Deal
China’s decision to impose new export controls on rare-earth minerals has reignited global anxiety over strategic dependencies in high-tech supply chains, prompting a wave of government-led diversification efforts. In response, the United States has signed an $8.5 billion agreement with Australia to expand rare-earth mining and processing capacity, part of a broader strategy to loosen Beijing’s grip on critical materials that underpin defense systems, renewable energy, and advanced electronics. However, despite President Trump’s claim that the United States will soon enjoy a glut of cheap rare earths, the reality is that developing alternative supply chains will take years and entail steep costs. Building new mines and refineries requires significant capital investment, strict environmental compliance, and higher labor expenses, ensuring that prices will rise rather than fall. To make such projects viable, Western governments have begun guaranteeing prices and securing long-term offtake contracts, such as the U.S. Defense Department’s ten-year deal with MP Materials at nearly twice China’s market rate, while allies like Japan continue investing in firms such as Lynas Rare Earths to secure priority access. The result is a structural transformation of the global rare-earth market from one shaped by low-cost Chinese dominance to one driven by state intervention, subsidies, and strategic industrial policy. This shift will make critical materials, and therefore green and digital technologies, more expensive but more resilient. Over time, the rising cost of responsible production is likely to accelerate recycling, circular-economy innovation, and supply-chain transparency. In the near term, however, it deepens the divide between two competing systems—China’s cheaper but environmentally damaging production model and the Western bloc’s cleaner, costlier, and strategically managed alternative.
#4
Cybercrime Trends and Treaty
Cyber-enabled transnational crime is scaling up and industrializing, with Southeast Asia emerging as a global hub due to loosely regulated casinos and special economic zones in Myanmar, Cambodia, and Laos. These zones have been repurposed into fortified “scam compounds” that blend online fraud (“pig-butchering”), money-laundering, and forced labor, generating tens of billions in illicit revenues and leveraging corrupt local elites and militia protection to evade crackdowns, an ecosystem now threatening regional stability and global security. Against that backdrop, around 72 countries have just signed the new UN Convention against Cybercrime in Hanoi, a first-of-its-kind global pact that seeks to harmonize offenses, standardize evidence handling, and accelerate cross-border cooperation and extradition, though it will only enter into force after 40 ratifications and its real impact hinges on national implementation capacity. Supporters argue the treaty will raise costs for syndicates by shrinking jurisdictional gaps and improving data-sharing; critics warn its broad language could enable surveillance abuse and criminalize security research, particularly in states with weak safeguards. Netting these strands together, the trend line is continued growth and sophistication of cybercrime in the near term, but with greater disruption pressure over the medium term as signatories align laws, build forensics capacity, and coordinate takedowns. Observers should expect displacement effects (criminals shifting to non-party or weakly implementing jurisdictions), uneven early results, and a compliance burden uptick for companies as authorities test new cooperation tools.
#5
AI and the Global South
Concerningly, the artificial intelligence industry is barreling toward a speculative bubble, driven by an unsustainable obsession with building ever-larger and more expensive “big AI” systems that lack sufficient real-world applications to justify their cost. Global investment in AI infrastructure is projected to reach $2.8 trillion by 2029, and yet the financial and societal returns remain deeply uncertain. Most consumers use AI for mundane personal tasks, while a 2025 MIT study found that 95% of businesses failed to realize any financial return on their AI projects. Despite this, companies such as OpenAI continue to pursue artificial general intelligence, a superintelligent system requiring enormous computational power, vast energy consumption, and trillions of dollars in long-term investment. This fixation is crowding out other forms of innovation and masking structural weaknesses in the global economy. In contrast, there is underexplored potential of “small AI,” that is lightweight, specialized applications designed to solve practical problems in the developing world. These systems could tackle persistent global challenges such as crop disease detection, predictive maintenance of water infrastructure, healthcare access, financial inclusion, literacy, and flood forecasting. Examples like Nuru, an app that diagnoses cassava disease more accurately than trained agronomists, and Google’s Flood Hub, which warns millions of people in flood-prone regions, illustrate how modest AI tools can deliver outsized social and economic value. Such solutions require smaller datasets, lower processing power, and can operate offline or on inexpensive devices, making them viable even in infrastructure-poor environments. Realizing this potential would demand new forms of collaboration among local entrepreneurs, governments, NGOs, and international institutions such as the IMF and World Bank, coupled with innovative financing models similar to Africa’s pay-as-you-go systems.
#6
Bias in Technology
Bias in large language models (LLMs) and new AI technologies reflects both technical vulnerabilities and deeper ideological struggles over information control. Research by the Institute for Strategic Dialogue (ISD) found that tools such as ChatGPT, Gemini, DeepSeek, and Grok frequently cite Russian state-linked or sanctioned media when asked about the war in Ukraine, with nearly one-fifth of responses containing Kremlin-attributed narratives. This occurs because disinformation networks exploit “data voids,” topics with little verified reporting, by flooding the web with false or manipulative content that LLMs later reproduce, effectively poisoning their knowledge base. The models also show confirmation bias, echoing propaganda more often when users pose biased or emotionally charged questions. At the same time, projects like Elon Musk’s Grokipediareveal how bias can be deliberately engineered rather than accidental. Its AI-generated encyclopedia presents overtly conservative narratives and lacks the same crowdsourced knowledge that other similar platforms have. Together, these trends demonstrate that AI systems are no longer neutral tools but contested spaces where governments, corporations, and individuals compete to shape reality itself. As LLMs become the default interface for information, the struggle over what counts as truth and authority increasingly unfolds inside the algorithms that mediate human knowledge.
#7
Japan Debuts First Yen-Pegged Stablecoin
Japan’s launch of the world’s first yen-pegged stablecoin, issued by JPYC Inc. and backed by bank deposits and government bonds, marks a pivotal shift in the evolution of digital money. It signals that the stablecoin market, long dominated by U.S.-dollar-backed tokens, is entering a new phase of currency diversification and institutional legitimacy. By anchoring the coin to the yen and designing it under Japan’s strict regulatory framework, policymakers are effectively testing whether stablecoins can operate as trusted components of the financial system rather than speculative instruments. For the global market, this development represents an inflection point as it suggests that stablecoins are transitioning from the periphery of crypto trading into the infrastructure of payments, settlement, and cross-border finance. If successful, the yen-stablecoin could spur other advanced economies to issue their own regulated, asset-backed versions, accelerating a move toward multi-currency digital liquidity networks that coexist with central bank systems. For businesses and financial institutions, the signal is that stablecoins are evolving into mainstream financial rails that could eventually influence treasury operations, trade settlement, and global liquidity flows, while prompting governments to formalize oversight and risk frameworks that integrate digital assets into the traditional monetary order.
#8
DeepSeek and Drones
China’s integration of AI-driven robotics and autonomous warfare systems anchored by its DeepSeek artificial intelligence platform signals a strong shift in the future character of war. Recent developments, including AI-coordinated drone swarms, robotic quadrupeds capable of reconnaissance and combat support, and autonomous vehicles backed by domestic chip architectures, indicate Beijing’s intent to operationalize machine intelligence across the entire battlefield ecosystem. This evolution suggests that future conflicts will be defined less by manpower and more by decision-speed, data dominance, and algorithmic coordination, where the side that can process information and act faster gains decisive advantage. DeepSeek especially represents a step toward military self-sufficiency in AI hardware and software, reducing dependence on Western technology and enabling scalable deployment of autonomous systems. Strategically, these systems could lower the human and political costs of escalation, making conflict more likely and faster-moving, while creating asymmetric pressure on adversaries reliant on slower, human-in-the-loop decision chains. Over the longer term, this indicates a transformation in warfare from industrial to autonomous-networked conflict, in which robotic platforms, AI-enabled targeting, and real-time battlefield analytics replace traditional formations. The future of war will therefore hinge not on the number of soldiers or tanks a state can field, but on the speed, adaptability, and autonomy of its algorithms, and China appears determined to lead that race.
#9
Lithuania Shuts Airport and Borders Over Balloon Breaches
Lithuania has closed Vilnius Airport and its border crossings with Belarus for the fourth time in a single week after multiple helium balloons were detected in its airspace. Authorities believe the balloons are being used by smugglers to move contraband cigarettes from Belarus into Lithuania. These repeated incidents have raised serious concerns about Lithuania’s national security and led to criticism of Belarusian President Alexander Lukashenko for failing to stop cross-border airspace violations. The Lithuanian government has called an urgent meeting of the Nation al Security Commission to discuss stronger monitoring and new security measures. Beyond the immediate security risks, the situation is putting pressure on regional relationships and has wider geopolitical effects. Lithuania, as a member of both the European Union and NATO, sees these airspace violations as a challenge to international norms and a test of collective security promises. The growing tension between Belarus and its Western neighbors may push the European Union to work more closely on border control and airspace surveillance. Economically, Lithuania plays an important role in regional trade and energy security. The country is a key transit and refining point in the Baltics, with the Orlen Lietuva refinery exporting oil products across Europe. Its position on the Baltic Sea makes it a valuable link in Europe’s effort to reduce reliance on Russian energy. Lithuania’s strong furniture and technology sectors also tie it closely to European markets, showing its importance not just in security but in the continent’s economic stability.
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- Hannah Arendt
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