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Uber Commits Up to $1.25bn to Rivian for 10,000 Autonomous R2 Robotaxis Starting 2028
Uber Technologies Inc. and Rivian Automotive Inc. announced Thursday a landmark strategic partnership under which Uber will invest up to $1.25 billion in Rivian to accelerate the deployment of 10,000 fully autonomous Rivian R2 SUVs as robotaxis on the Uber platform beginning in 2028.
The deal includes an initial $300 million investment from Uber, with the remaining amount to be funded through 2031 contingent on Rivian achieving specific autonomous-driving milestones. The companies stated that, if all milestones are met, thousands of unsupervised Rivian R2 robotaxis could be operating across 25 cities in the United States, Canada, and Europe by the end of 2031.
The R2 robotaxis will be available exclusively on Uber’s platform, with initial deployments planned for San Francisco and Miami. Uber retains the option to purchase up to 40,000 additional autonomous R2 vehicles starting in 2030.
Rivian, best known for its R1S SUV and R1T pickup, has not yet launched a robotaxi service but unveiled its first custom autonomous-driving computer chip in December 2025. The company is preparing to begin deliveries of its smaller, more affordable R2 SUVs this quarter, with the autonomous variant forming the backbone of the Uber partnership.
Rivian Adjusts Profitability Timeline Amid Accelerated Autonomy Investment
Rivian disclosed that it no longer expects to achieve adjusted core profit (adjusted EBITDA breakeven) in 2027, citing increased research and development spending to fast-track its self-driving roadmap.
“We believe this was widely expected. We do still expect Rivian to achieve breakeven EBITDA in 2028, with positive free cash flow in 2030. We believe Uber’s initial investment will cover the additional R&D spend,” BNP Paribas analyst James Picariello said.
Rivian shares pared earlier gains of nearly 12% and were last up about 1% in afternoon trading, reflecting a mixed investor reaction to the delayed profitability target offset by the major commercial partnership.
Uber’s Multi-Operator Robotaxi Marketplace Strategy
The Rivian deal strengthens Uber’s positioning as a neutral marketplace for multiple robotaxi operators rather than a single-provider fleet owner. Uber has already partnered with Waymo (Alphabet), Baidu, and Lucid for autonomous ride-hailing, and is collaborating with Nvidia on AI and simulation platforms to support the development and scaling of robotaxi systems across partners.
Interest in driverless taxis has surged in recent months after years of delays and missed timelines. Waymo currently operates approximately 2,500 robotaxis across several U.S. cities and has accelerated rollouts, while Tesla launched a small robotaxi service in Austin, Texas, with CEO Elon Musk promising rapid expansion in 2026.
The Uber-Rivian partnership comes amid accelerating momentum in the autonomous vehicle sector, driven by breakthroughs in AI, sensor fusion, and simulation. Rivian’s focus on purpose-built autonomous R2 vehicles positions it as a challenger to established robotaxi players like Waymo and Cruise (GM), while leveraging Uber’s massive ride-hailing network for rapid scaling.
The deal also comes amid heightened investor focus on commercialization timelines and capital efficiency. Rivian’s earlier profitability guidance had been closely watched; the delay to 2028 EBITDA breakeven pinpoints the heavy R&D investment required to achieve Level 4/5 autonomy at scale.
The agreement diversifies Uber’s autonomous options beyond Waymo while securing a high-volume, long-term vehicle supply from Rivian — a critical hedge against potential supply constraints in the robotaxi race.
Market Reaction and Analyst Views
Rivian shares showed resilience despite the profitability delay, with the Uber investment seen as providing crucial capital and a credible path to high-volume commercial deployment. Uber shares traded modestly higher, denoting optimism about its multi-operator strategy in a market increasingly viewed as winner-take-most.
Analysts view the partnership as a validation of Rivian’s technology roadmap and Uber’s marketplace approach. The 10,000-vehicle commitment — with an option for 40,000 more — represents one of the largest robotaxi fleet commitments to date, underscoring confidence in Rivian’s ability to deliver purpose-built autonomous vehicles at scale.
The Uber-Rivian deal marks a pivotal moment in the commercialization of autonomous ride-hailing. If Rivian meets its autonomy milestones and successfully launches unsupervised R2 robotaxis in 2028, the partnership could significantly accelerate the transition to driverless mobility in major U.S., Canadian, and European cities.
However, analysts note that for the partnership to excel, Rivian must deliver reliable Level 4 autonomy at scale while managing capital burn, while Uber must integrate multiple robotaxi providers into a seamless marketplace experience. The outcome is expected to play a huge role in determining whether autonomous ride-hailing can move from pilot programs to widespread adoption — potentially transforming urban mobility, reducing costs for riders, and reshaping the economics of transportation in the process.
Gold’s Safe-Haven Status Falters as Oil Shock Forces Markets to Reprice Inflation, Rates, and Global Growth
A sweeping sell-off across metals markets is exposing a deeper shift in investor thinking, as the fallout from the U.S.-Iran war begins to ripple through inflation expectations, monetary policy outlooks, and growth forecasts.
What initially appeared to be a standard geopolitical shock—one that would typically lift safe-haven assets—has instead triggered an unusual unwind. Gold fell nearly 6%, and silver dropped 8%, extending declines that began shortly after the conflict escalated. Industrial metals followed suit, with copper down 2% and palladium losing 5.5%.
This is not a liquidity-driven sell-off or a technical correction. It is a macro repricing event.
At the center of the shift is oil. Rising crude prices are forcing investors to reconsider a narrative that had dominated markets for months—that inflation was cooling enough to allow central banks to pivot toward rate cuts. That assumption is now under strain.
Higher energy costs feed directly into headline inflation and, more importantly, into inflation expectations. Once those expectations begin to drift upward, central banks face a credibility constraint. The Federal Reserve, in particular, is unlikely to ease policy into an environment where energy-driven price pressures risk becoming embedded.
The result is a rapid repricing in fixed-income markets. The U.S. 10-year Treasury yield pushing above 4.3% reflects not just higher nominal rates, but rising real yields—the most critical variable for gold.
Gold’s decline, therefore, is less a contradiction and more a reordering of priorities. In the current cycle, real yields and currency strength are exerting greater influence than geopolitical hedging demand. A firmer U.S. dollar has compounded the pressure, tightening financial conditions globally and reducing the appeal of dollar-priced commodities.
There is also a positioning element at play. Gold entered the conflict with significant speculative and institutional length, built on expectations of rate cuts and fiscal fragility. As those assumptions unwind, the metal is experiencing a sharper correction than fundamentals alone might suggest.
Peter Boockvar of One Point BFG Wealth Partners pointed to this dynamic, arguing that the erosion of rate-cut expectations and the rise in real yields have become the dominant headwinds. Yet the more consequential signal may be coming from industrial metals. Copper’s decline is often treated as a real-time proxy for global economic momentum. Its weakness suggests that markets are beginning to price in a slowdown, not merely a temporary shock.
The mechanism is straightforward but powerful. Elevated oil prices act as a tax on both consumers and businesses. Over time, they compress disposable income, reduce margins, and delay capital expenditure. This is the “demand destruction” phase—when sustained energy costs begin to curtail economic activity rather than simply raise prices.
What makes the current moment more complex is the simultaneous presence of inflation risk and growth deterioration. That combination has revived discussions around stagflation, though not without pushback.
Ed Yardeni has argued that structural changes in the global economy—lower energy intensity, more flexible supply chains, and more responsive monetary policy—make a repeat of the 1973 OPEC oil embargo less likely. He points to the limited long-term damage from the 2022 oil shock following Russia’s invasion of Ukraine as evidence.
That caution is echoed by Jerome Powell, who has resisted applying the stagflation label, signaling that current conditions have not yet reached the threshold associated with the 1970s.
Even so, markets are beginning to trade the risk, if not the certainty, of such an outcome.
The implications have been immediate for industrial metals. Unlike gold, which can benefit from financial stress and currency debasement, copper and palladium depend on real economic activity. Infrastructure spending, manufacturing output, and construction cycles drive demand. If growth expectations weaken, these metals face direct and sustained pressure.
For gold, the outlook is more nuanced. The same forces dragging prices lower in the short term—higher real yields and a stronger dollar—could reverse if growth slows enough to force central banks back toward easing. Moreover, rising fiscal deficits, particularly if governments ramp up military spending linked to the conflict, could reinforce gold’s role as a hedge against currency debasement.
Analysts at Goldman Sachs argue that in a prolonged stagflationary environment—especially one where real yields eventually decline—gold could reassert itself as a preferred store of value, driven by demand for real assets and diversification away from fiat currencies.
There is also a temporal dimension to the current dislocation. Markets are forward-looking, but policy responses lag. If oil prices remain elevated long enough to materially weaken demand, the narrative could shift again—from inflation risk to growth support—bringing rate cuts back into focus and potentially reversing some of the pressure on metals.
For now, the breakdown in traditional correlations is likely to persist. Safe-haven assets are not behaving as expected because the dominant risk is no longer immediate crisis, but its second-order effects on inflation and policy.
The metals sell-off, in that sense, is less about panic and more about recalibration.
Investors are no longer asking how the conflict will unfold—they are asking how long its economic consequences will last, and whether those consequences will force a fundamental shift in the global macro regime.
Meta Turns to AI for Content Policing as it scales Back Human Moderators
Meta Platforms is accelerating a major shift in how it polices its platforms, deploying more advanced artificial intelligence systems to handle content enforcement while reducing its reliance on third-party moderation vendors.
The move signals a structural change in how the company manages some of its most sensitive responsibilities—ranging from detecting terrorism-related material to tackling scams and child exploitation—at a time when scrutiny over social media harms is intensifying.
In a statement, Meta said the new systems will be rolled out across its apps once they consistently outperform existing moderation tools. While human reviewers will remain in place, the company is increasingly positioning AI as the first line of defense in identifying and acting on harmful content.
From Human Moderation To Machine-Led Enforcement
For years, content moderation at scale has depended heavily on large networks of contracted workers tasked with reviewing posts, images, and videos—often under difficult conditions. Meta’s pivot reflects both technological advances and operational pressures, including the cost and psychological toll of manual moderation.
The company said its AI systems are particularly suited to high-volume, repetitive tasks, such as reviewing graphic material or tracking evolving tactics used by scammers and illicit networks. These are areas where human moderators have struggled to keep pace with the speed and scale of abuse.
Early test results suggest a significant performance leap. Meta said its systems detected twice as much violating adult solicitation content compared to human review teams, while reducing error rates by more than 60%. It also reported improvements in identifying impersonation accounts and preventing account takeovers by analyzing behavioral signals such as unusual login locations or sudden profile changes.
A Real-Time Response To Evolving Threats
One of the key advantages Meta is highlighting is speed. AI systems can operate continuously and respond in near real time, a critical factor in dealing with scams and coordinated campaigns that spread rapidly across platforms. The company said its tools are already helping to intercept around 5,000 scam attempts daily, particularly those aimed at stealing user credentials. That scale of intervention would be difficult to sustain with human reviewers alone.
This capability becomes even more relevant as adversarial actors increasingly deploy automation and AI themselves, creating a technological arms race between platforms and bad actors.
Meta has long faced criticism not just for failing to remove harmful content but also for over-enforcement, where legitimate posts are mistakenly taken down. The company argues that its newer AI systems are better calibrated, capable of making more nuanced decisions and reducing false positives. If sustained, that could address one of the most persistent complaints from users and creators.
Still, Meta acknowledged that human oversight will remain essential, particularly for high-stakes decisions such as account suspensions, appeals, and cases involving law enforcement.
“Experts will design, train, oversee and evaluate our AI systems,” the company said, underscoring that humans will continue to handle complex judgment calls even as automation expands.
The technological shift is unfolding alongside broader changes in Meta’s content policies. Over the past year, the company has relaxed certain moderation rules, including ending its third-party fact-checking programme in favor of a community-driven model similar to that used by X (formerly Twitter). It has also eased restrictions on some forms of political speech, allowing more content tied to what it describes as “mainstream discourse,” while giving users greater control over what they see.
These changes have altered the baseline for enforcement, meaning AI systems are being deployed not just to remove content more efficiently, but to apply a recalibrated set of rules that may tolerate a broader range of expression.
Widening Legal & Reputational Pressure
Meta’s transition comes under mounting legal pressure. The company, along with other major technology firms, is facing lawsuits alleging harm to children and young users, particularly around exposure to harmful content and addictive platform design.
Automating moderation could help Meta demonstrate that it is investing in more effective safety systems, but it also raises questions about accountability. Critics have argued that relying heavily on algorithms risks creating opaque decision-making processes that are harder to audit.
Alongside enforcement changes, Meta is introducing a Meta AI support assistant, offering users round-the-clock help across Facebook and Instagram. The assistant is designed to handle user queries, complaints, and support requests, further embedding AI into the platform’s core operations.
Meta’s strategy is part of a wider trend across Big Tech, where companies are turning to AI not just for product features but for core governance functions.
Content moderation, once seen as a labor-intensive back-end process, is being reengineered into a technology-driven system capable of operating at a global scale. The promise is greater efficiency and consistency; the risk is that errors, biases, or blind spots could also scale just as quickly.
Meta is betting that advances in AI have reached a point where machines can handle a substantial share of content enforcement more effectively than humans. The early metrics it cites suggest meaningful gains in detection and accuracy.
But the transition also shifts the burden of trust. As algorithms take on a larger role in deciding what stays online and what is removed, the challenge for Meta will be proving that these systems are not only faster and cheaper but also fair, transparent, and accountable.
US Gas Prices Surge to Level Not Seen in Several Years
US gas prices have surged dramatically in March 2026, reaching levels not seen in several years, with the national average for regular unleaded gasoline hitting around $3.884 per gallon per AAA data.
This marks a sharp climb from earlier in the year and pre-conflict levels. The national average has jumped significantly in recent weeks, with reports showing increases of 27–35 cents in single weeks during early-to-mid March. By mid-March, prices had crossed $3.50–$3.70+ in many updates, and continued rising to the current ~$3.88.
This puts prices at their highest since around 2023, though still well below the all-time peak of over $5 in June 2022 during the Russia-Ukraine invasion fallout. Diesel prices have risen even faster, approaching $5.10 nationally—also the highest since 2022.
The main catalyst is the ongoing US-Israel war with Iran, which began with attacks around late February 2026. This has: Disrupted oil supplies, including attacks on facilities and threats/blockades in the Strait of Hormuz, a critical chokepoint for global oil.
Pushed crude oil prices sharply higher like Brent and WTI benchmarks surging to $90–$108+ per barrel in March, up 30–50% since the conflict escalated. Led to rapid pump price gains of 20–27% in short periods, comparable to the 2022 Ukraine invasion spike.
Seasonal factors like spring break demand, the switch to costlier summer-blend gasoline, and refinery transitions are amplifying the rise. Kansas ($3.15), North Dakota ($3.20), Oklahoma ($3.22), Arkansas ($3.24), Missouri (~$3.25). Most expensive: California often tops $5–$6 in some areas (e.g., parts exceeding $6), with other high-cost states like those on the West Coast seeing bigger jumps.
Prices are now above $3 in all 50 states. Analysts suggest prices may stay elevated “until later this year” due to ongoing conflict, seasonal demand, and supply risks. Some forecasts warn of potential $4+ averages if disruptions persist, though resolutions or supply releases could ease them.
Earlier 2026 projections (pre-conflict) expected lower annual averages, but the war has overridden those. This spike is contributing to broader inflation concerns and consumer strain, with calls from some Democrats for temporary federal gas tax suspensions to provide relief.
The surge in US gas prices due to the US-Israel conflict with Iran is exerting significant upward pressure on inflation, primarily through higher energy costs that ripple through the economy. As of the latest data, headline CPI inflation stood at 2.4% year-over-year, unchanged from January and the lowest since mid-2025.
Core inflation excluding food and energy was 2.5% year-over-year. Monthly CPI rose 0.3% in February, with energy prices rebounding modestly but not yet reflecting the post-February 28 conflict surge. This February reading predates the major oil/gas price spike, which began in early March as disruptions drove crude prices higher often $90–$100+ per barrel range in recent trading.
The March CPI data won’t be released until early April 2026, but analysts widely expect a sharp uptick. Gasoline weighs about 3–4% in the CPI basket, so rapid increases have outsized effects on headline inflation. The ~27–35% four-week jump in gas prices; one of the largest since 1990 is already passing through quickly.
Estimates suggest a $10/barrel oil increase adds roughly 0.2–0.35 percentage points to headline inflation over months. Sustained high oil ~$85–$100+/barrel could push annual inflation 0.5–1.0+ points higher for 2026 overall. Higher diesel/fuel costs raise trucking/shipping expenses ? higher prices for groceries, goods, and services.
Airlines and utilities pass on jet fuel/natural gas/electricity hikes. Broader energy inflation adds to household burdens. Economists forecast March monthly inflation could jump 0.8–0.9% (the highest in ~4 years), potentially pushing year-over-year headline CPI above 3% possibly nearing 4% in coming months if disruptions persist.
Higher energy acts like a “tax” on consumers, reducing disposable income and potentially curbing spending which drives ~2/3 of US GDP. This complicates the Federal Reserve’s balancing act: it could delay rate cuts or force tighter policy if inflation reaccelerates, risking slower growth or even recession if prolonged.
Some views note the spike may prove temporary if the conflict resolves quickly but prolonged Strait of Hormuz issues could sustain elevated prices and inflation. Pre-conflict trends were already nudging energy costs up, but the war has dramatically accelerated this.
While inflation appeared “tamed” entering 2026 hovering ~2.4%, the Iran conflict-driven energy shock is reversing that progress in the short term, hitting consumers hardest at the pump and through everyday costs. The full extent will clarify with April’s CPI release, but the trajectory points to renewed inflationary pressures unless the situation de-escalates soon.