Goldman Sachs has warned that oil markets are entering a prolonged period of stress, with risks to prices tilted firmly to the upside as the U.S.-Israeli war with Iran disrupts supply flows and threatens to spill over into the global economy.

The latest escalation pushed Brent crude above $119 per barrel, underscoring the severity of the shock after Iranian strikes hit energy facilities across the Gulf. The attacks have forced production shut-ins and heightened uncertainty around the Strait of Hormuz, a critical artery that carries roughly one-fifth of global oil and gas supply.

Goldman’s analysis suggests the market may be underestimating how long the disruption could last. Drawing comparisons with past crises such as the 1973 oil embargo, the bank said supply shocks of this magnitude tend to persist, keeping prices elevated even after hostilities ease. While its base case assumes flows begin to recover from April and prices ease into the $70 range by late 2026, it warned that structural damage to infrastructure or prolonged geopolitical tension could keep oil above $100 per barrel into 2027.

That prospect is already reverberating across global financial markets, where the surge in oil prices is stoking fears of a broader economic downturn. Higher crude costs feed directly into fuel, transportation, and manufacturing expenses, raising input costs for businesses and eroding consumer purchasing power. For import-dependent economies, the shock is even more acute, often triggering currency pressures and widening trade deficits.

Economists say the current trajectory raises the risk of a stagflationary cycle—where growth slows while inflation accelerates. The longer oil remains elevated, the more likely it is to choke off demand, dampen industrial output, and weigh on global trade. Goldman noted that if disruptions persist, Brent could even surpass its 2008 peak, a scenario that would significantly tighten financial conditions worldwide.

Against this backdrop, central banks are being forced into a difficult position. The inflationary impulse from energy prices is complicating what had been a gradual shift toward monetary easing. Policymakers who were previously considering rate cuts are now reassessing their stance, with some weighing the need for tighter policy to prevent inflation from becoming entrenched.

The U.S. Federal Reserve, the European Central Bank, and other major monetary authorities are expected to hold a more hawkish tone in upcoming meetings, even as growth risks mount. Higher interest rates, while aimed at containing inflation, could further slow economic activity—deepening the risk of a synchronized global slowdown.

Goldman also highlighted the potential for additional market distortions. A widening spread between Brent and West Texas Intermediate could emerge if the United States considers export restrictions to shield domestic consumers, a move that would tighten global supply further. At the same time, while OPEC retains spare capacity, the bank cautioned that deploying it may not fully offset losses, particularly if infrastructure damage or security concerns limit production.

The crisis is exposing deeper structural vulnerabilities in the oil market. Years of underinvestment in upstream capacity, combined with rising geopolitical fragmentation, have reduced the system’s ability to absorb shocks. As a result, even partial disruptions are having outsized effects on prices and volatility.

Thus, the stakes are rising quickly for governments and policymakers. Elevated energy costs are not only a threat to growth but also a political risk, as households grapple with higher fuel and food prices. In emerging markets, where energy subsidies are often used to cushion consumers, fiscal pressures could intensify sharply.

In essence, the oil shock is no longer just a commodity story—it is becoming a macroeconomic one. With supply risks lingering, central banks on alert, and markets increasingly jittery, the trajectory of crude prices may now dictate the pace and stability of the global economic outlook in the months ahead.

Jeff Bezos is in early-stage talks to raise as much as $100 billion for an investment fund designed to buy manufacturing companies and overhaul them using artificial intelligence, according to the Wall Street Journal.

The proposed vehicle, described in investor materials as a “manufacturing transformation vehicle,” would focus on sectors such as semiconductors, defense, and aerospace. These are industries where production is complex, capital-intensive, and increasingly shaped by geopolitical priorities.

People familiar with the discussions told the Journal that Bezos has already engaged some of the world’s largest asset managers and held meetings with sovereign wealth funds in the Middle East in recent months. Those conversations highlight the scale of capital required and the type of long-term investors likely to back the effort.

By this move, Bezos is tagging along with a broader shift in the deployment of artificial intelligence. Much of the early investment cycle has focused on software and digital services. Bezos’ plan points to a second phase, where AI is applied to physical production systems.

The objective is not simply efficiency. It is to redesign manufacturing processes. AI has been largely touted to simulate production environments, optimize factory layouts, reduce defects, and shorten product development cycles. In sectors such as chipmaking and aerospace, even marginal improvements can translate into significant cost savings and strategic advantages.

The fund appears to be linked to a parallel initiative, Project Prometheus, which is focused on applying AI to engineering and manufacturing across industries, including automobiles and spacecraft. The startup is in discussions to raise up to $6 billion, according to the Journal, adding to the more than $6 billion it has already secured, as reported by the Financial Times.

Project Prometheus recently added David Limp to its board. Limp’s background in hardware and logistics suggests a focus on operational execution, not just software development. The company’s co-founders, Sherjil Ozair and William Guss, have not publicly commented on the latest fundraising efforts.

Together, the fund and the startup point to a vertically integrated approach. One entity would deploy capital to acquire industrial assets. The other would provide the AI systems to transform those assets. The model resembles earlier technology shifts where control of both infrastructure and software created durable advantages.

The timing aligns with a period of structural change in global manufacturing. Governments in the United States, Europe, and Asia are investing heavily in domestic production capacity, particularly in semiconductors and defense. Supply chain disruptions during the pandemic and rising geopolitical tensions have accelerated that trend.

Bezos’ outreach to Middle Eastern investors also rings a bell. Sovereign wealth funds in the region are seeking long-term investments tied to industrial diversification and technology. A fund of this scale offers exposure to both.

There are clear economic incentives behind the strategy. Manufacturing remains less digitized than other sectors. Productivity gains have been slower, and labor costs remain a major factor. AI offers the potential to improve throughput, reduce downtime, and enhance quality control.

However, analysts note the substantial risks involved. Unlike software, manufacturing transformation requires physical changes to factories, equipment, and supply chains. Returns are slower and depend on execution at scale. Integrating AI into production systems also raises workforce challenges, including retraining and potential job displacement.

There is also competition. Large industrial companies are investing in automation internally. Governments are attaching conditions to subsidies, particularly in strategic sectors like semiconductors. Private equity firms are increasingly targeting industrial technology, raising valuations for potential acquisition targets.

In addition, the scale of the proposed fund has been noted as another challenge. Deploying $100 billion effectively would require a steady pipeline of large transactions and the ability to integrate multiple businesses across regions and industries.

Bezos has pursued large, long-term bets before. At Amazon, he prioritized infrastructure investment well ahead of demand. At Blue Origin, he has taken a similarly patient approach to building space capabilities. The manufacturing fund appears to follow that pattern, focusing on long-duration returns rather than quick exits.

However, this time seems to be different. What distinguishes this effort is its scope. It is not limited to a single sector or technology. The move attempts to apply AI across the industrial economy, targeting the systems that produce goods rather than the platforms that distribute or sell them.

As AI-driven efficiency gains have been touted to lift margins and change competitive dynamics, particularly in industries where scale and precision are critical, Bezos’ move, if successful, is expected to reshape how manufacturing companies are valued and operated.

For now, the discussions remain preliminary. Key details such as fund structure, investor commitments, and acquisition strategy have yet to be finalized.

Bezos has not publicly commented on the plan.

However, this move denotes that the next phase of the AI economy is moving beyond code and into factories. And as he did in other sectors, Bezos is positioning himself to play a central role in that shift.

Kalshi has raised more than $1 billion in a new funding round at a $22 billion valuation. This roughly doubles its previous valuation of around $11 billion from its December 2025 Series E round where it also raised $1 billion, led by Paradigm with participation from Sequoia, a16z, ARK Invest, and others.

The new round is led by Coatue Management.
It’s described as an ongoing or recently closed financing, with the $22B valuation reflecting strong investor enthusiasm for prediction markets. Kalshi’s annualized revenue run rate has reportedly surged to about $1.5 billion up significantly from earlier figures around $600-700M, which helps justify the aggressive valuation multiple roughly 14-15x revenue.

This comes amid booming interest in prediction platforms, though the sector faces ongoing regulatory scrutiny from the CFTC on certain contracts. At $22B, Kalshi’s valuation now exceeds the market caps of some established players in related spaces like sports betting.

This rapid growth trajectory—multiple massive rounds in quick succession—highlights how prediction markets have exploded in popularity, especially post-2024 election cycles and with broader event-based trading adoption.

Polymarket, the decentralized prediction market platform built on blockchain, has experienced explosive growth since its breakout during the 2024 U.S. election cycle. As of March 20, 2026, it remains a leader in the global prediction markets sector, though it faces intense competition from regulated U.S. rival Kalshi.

Trading Volume Surge: 2023: ~$73 million total. 2024: ~$9 billion (driven heavily by election-related bets, e.g., over $3.3 billion on Trump vs. Harris). 2025: Continued momentum with monthly highs like ~$3 billion in October and cumulative YTD figures exceeding $7-10 billion in later months. The platform pivoted strongly into sports, crypto, and other events. 2026 (early): Record-setting performance, including February’s all-time high monthly volume >$7 billion (7.5x YoY increase) and a single-day peak of $425 million on Feb 28 (surpassing 2024 election day highs).

Recent weekly volumes hit new ATHs around $2.1 billion+. Cumulative notional volume has reached tens of billions, with Polymarket often commanding 50%+ market share in the sector; combined with Kalshi ~79-85% of total prediction market activity. Recent U.S. operations via its 2025 acquisition of CFTC-regulated QCEX have seen >$761 million cumulative notional volume and over 5 million transactions.

Daily active wallets/users surged dramatically.
Over 1.3 million traders reported in late 2025, with ongoing expansion into mainstream via partnerships; MLB as official predictions partner, Dow Jones, DraftKings, NHL, and integrations like Golden Globes coverage.

Shift from crypto/politics focus to broader categories like sports, finance, culture, and AI/tech events. Total raised: ~$2.2-2.3 billion across multiple rounds; investors include Founders Fund, Polychain, General Catalyst, Vitalik Buterin, and a major $2 billion strategic investment from Intercontinental Exchange and NYSE owner in October 2025.

Valuation progression: Early 2025: ~$1.2 billion (unicorn status). October 2025: $9 billion post-ICE deal (Series D/strategic).
Late 2025/early 2026: Secondary/implied valuations climbed to ~$11-11.6 billion.
Mid-March 2026 reports: In early talks for new funding at ~$20 billion potentially doubling from late 2025 levels, amid sector-wide boom where Kalshi and Polymarket both eye similar marks.

This reflects massive investor enthusiasm for prediction markets as an information and forecasting layer, despite regulatory hurdles and competition. Fees have scaled with volume; estimates suggest potential annual revenue in hundreds of millions. Recent fee implementation and growth trends show weekly revenue climbing steadily.

Polymarket’s growth has been fueled by: Mainstream adoption beyond crypto natives.
Event-driven spikes. Regulatory progress (U.S. relaunch and phased rollout post-QCEX acquisition). Prediction markets overall quadrupled volume from 2024 to 2025 ~$64 billion in 2025, with continued momentum into 2026.

However, it’s now neck-and-neck with Kalshi which recently raised $1B+ at $22B valuation. Polymarket leads in global/decentralized volume and crypto integration, while Kalshi dominates regulated U.S. fiat access and certain liquidity metrics. Polymarket has transformed from a niche crypto tool into a major player pricing real-world probabilities, with valuations and volumes suggesting it could become even more central to information markets.