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Samsung SDI to Take Full Control of GM Battery Venture as EV Demand Slows

By
Samuel Nwite
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0

South Korean battery maker Samsung SDI said on Tuesday it will end its joint venture with General Motors in Indiana and acquire the U.S. automaker’s 49.99% stake, as weaker-than-expected electric vehicle demand forces the partners to rethink a project that was originally designed to supply batteries for a rapidly expanding EV market.

Samsung SDI said it will take full ownership of SDI-GM Synergy Cells Holdings and use the unit to respond more flexibly to demand for batteries used in electric vehicles and energy storage systems.

The change gives Samsung SDI greater control over the Indiana operation at a time when the U.S. battery market is undergoing a significant shift. Automakers have scaled back or delayed some EV production plans as consumer demand has grown more slowly than manufacturers had expected, leaving battery companies facing the risk of excess capacity.

“The ownership change was made in consideration of market changes since the joint venture was announced – including the slower-than-expected growth of EV demand,” Samsung SDI said in a statement. The companies will now seek “other forms of cooperation” outside the joint venture, it said.

The venture was announced two years ago and was initially expected to have annual battery production capacity of 27 gigawatt-hours, with mass production scheduled to begin in 2027.

The decision to abandon the joint ownership structure comes before that target is reached, underscoring how sharply expectations for the U.S. EV market have changed since the project was announced. Construction at the Indiana plant had already slowed amid weaker EV demand. GM and other automakers have reduced factory output and reassessed EV investments as sales growth has failed to match earlier forecasts.

The withdrawal also highlights a broader challenge for battery manufacturers. Companies expanded production capacity aggressively on expectations that the transition from gasoline-powered vehicles to EVs would accelerate rapidly. As that transition has progressed more slowly, manufacturers have increasingly looked for alternative applications for battery plants and technologies.

Energy storage is emerging as one of those alternatives.

Samsung SDI said its newly wholly owned U.S. unit will be able to serve both the EV and energy storage markets. That flexibility could become valuable as electricity demand rises from data centers, artificial intelligence infrastructure and industrial activity, while utilities and renewable-energy developers seek more battery storage capacity to stabilize power supplies.

The shift mirrors moves by other manufacturers. In March, GM and LG Energy Solution agreed to convert another battery plant in Tennessee from EV battery production to energy storage systems. That decision showed how facilities originally built around expected EV growth can be repurposed when market conditions change.

For Samsung SDI, the Indiana plant therefore represents more than an EV battery project. Full ownership could allow the company to determine how much capacity should be directed toward electric vehicles and how much could eventually be allocated to energy storage, depending on market demand.

The company said its existing investment plan will change as a result of the ownership restructuring, although specific investment and production plans have not yet been finalized. Samsung SDI said it would provide further disclosures as required.

The two companies are also maintaining cooperation on battery technology. Separately, Samsung SDI said it has signed an agreement with GM to jointly develop next-generation prismatic batteries for potential future EV applications.

That arrangement allows the companies to preserve a technological relationship even as they abandon the original joint-venture structure. Prismatic batteries, which use a rigid rectangular casing, are one of several battery formats being developed for next-generation electric vehicles.

GM’s decision to exit the joint venture also reveals the broader pressure on U.S. automakers to align EV investment with actual consumer demand. The expiration of the $7,500 federal EV tax credit last September further weakened the economics of some electric vehicles and contributed to manufacturers scaling back production.

GM has continued to invest in EVs, but the company and other automakers have been emphasizing flexibility in production and capital allocation rather than maintaining earlier aggressive expansion schedules.

For Samsung SDI, the challenge is to avoid allowing a slower EV market to leave newly built battery capacity underutilized. Redirecting some production toward energy storage could provide another source of demand and reduce its dependence on automakers’ EV production schedules.

The development also points to a broader recalibration across the global battery industry. The long-term transition toward electrification remains intact, but battery suppliers are increasingly being forced to distinguish between long-term demand expectations and the pace at which that demand is materializing.

While Samsung SDI’s move to take full control of the Indiana venture could consequently give it greater strategic flexibility, some analysts believe it also places more of the project’s financial and operational risk on the Korean battery maker.

The companies did not disclose the value of Samsung SDI’s acquisition of GM’s stake. Samsung SDI said further details would be disclosed in accordance with regulatory requirements.

The restructuring means the original plan for a jointly owned 27-GWh EV battery plant is being replaced by a more flexible model in which Samsung SDI controls the asset while continuing to work with GM on future battery technologies.

ColeThereum’s 44K NFT Sellout and Strategy’s $100M Bitcoin Sale Signal a Shifting Crypto Market

By
Paul Ugbede Godwin
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0

The crypto market continues to demonstrate how quickly capital, attention and digital assets can move between emerging trends.

Two developments highlight this shift: ColeThereum has reportedly sold out a 44,000-piece NFT collection on Robinhood, generating more than $1 million, while Strategy has sold approximately $100 million worth of Bitcoin.

Although the transactions involve very different parts of the digital-asset ecosystem, together they illustrate the growing maturity and complexity of crypto markets.

ColeThereum’s NFT collection represents another example of digital collectibles finding distribution through mainstream financial platforms. The reported sellout of 44,000 NFTs demonstrates that there remains significant demand for digital assets when they are packaged around a recognizable creator, community or cultural narrative.

Generating more than $1 million from the collection also shows that NFTs can still attract substantial capital despite the dramatic decline in speculative enthusiasm that followed the sector’s boom in previous years.

Robinhood’s role is particularly important. The platform has increasingly expanded beyond traditional equities and into cryptocurrency, tokenized assets and other forms of blockchain-based financial infrastructure.

Bringing NFT activity to a platform with a large retail user base can potentially expose digital collectibles to investors who may not have previously interacted with specialized NFT marketplaces.

The success of the collection therefore goes beyond its headline sales figure. It suggests that accessibility and distribution remain critical factors in determining whether digital assets can reach a broader audience.

NFTs may no longer dominate crypto conversations as they did during the 2021–2022 boom, but projects with strong distribution and recognizable narratives can still generate meaningful demand.

At the same time, Strategy’s reported sale of roughly $100 million worth of Bitcoin presents a very different picture. Strategy, one of the largest corporate holders of Bitcoin, has built its investment strategy around accumulating the cryptocurrency as a treasury reserve asset.

A significant sale therefore attracts attention because it contrasts with the company’s historically aggressive accumulation approach.

The transaction does not necessarily mean that Strategy has abandoned its long-term Bitcoin thesis.

Large corporate treasury operations can involve portfolio adjustments, liquidity management, capital restructuring or other strategic considerations. Selling a substantial amount of Bitcoin can influence market sentiment because of the size and visibility of Strategy’s holdings.

The juxtaposition of the two developments is particularly interesting. Capital is flowing into a new NFT collection through an increasingly mainstream platform. A major institutional Bitcoin holder is reducing part of its exposure. These movements show that the crypto economy is not moving in a single direction.

Instead, investors are increasingly differentiating between asset classes, narratives and risk profiles. Bitcoin continues to occupy the position of a major digital monetary asset, while NFTs are evolving toward entertainment, culture, communities and digital ownership.

Platforms such as Robinhood could increasingly become bridges connecting these different markets with mainstream users. The ColeThereum sellout and Strategy’s Bitcoin sale highlight a crypto market that is becoming more diverse.

The industry is no longer defined solely by Bitcoin rallies or NFT speculation. Capital is moving across multiple digital-asset categories, while platforms compete to make blockchain-based products easier to access.

The next phase of crypto may therefore be less about one dominant narrative and more about the coexistence of Bitcoin, NFTs, tokenization and new financial applications within a broader digital economy.

Pump.fun and Robinhood Chain Signal a New Era of Crypto Revenue

Meanwhile, the crypto economy is entering another phase of intense competition, with activity increasingly shifting toward platforms capable of generating substantial on-chain revenue.

Two developments highlight this trend: Pump.fun’s weekly fees reportedly surpassing $10 million for the first time, and Robinhood Chain emerging as the highest-revenue Ethereum Layer-2 network during its first month of operation.

The developments demonstrate how speculative trading, memecoins and consumer-focused blockchain infrastructure are becoming powerful drivers of network economics.

Pump.fun’s latest performance is particularly notable because its weekly fees reportedly exceeded $10 million, placing the platform far ahead of major decentralized applications such as Hyperliquid in revenue generation during the period.

Generating roughly three times Hyperliquid’s revenue underscores the enormous economic activity surrounding memecoin creation and trading. Pump.fun has transformed token launches into an accessible, largely permissionless process, allowing users to create and trade tokens with relatively little technical knowledge.

The platform’s success illustrates the powerful relationship between speculation and blockchain fees. Every wave of new token launches, purchases and sales creates transactions, and those transactions generate revenue for the infrastructure supporting them.

While memecoin markets are highly volatile and many tokens have limited long-term utility, their trading activity can nevertheless produce significant economic throughput. Robinhood Chain presents a different but equally important development.

Built as an Ethereum Layer-2, the network has rapidly become a major source of revenue within the Ethereum scaling ecosystem during its first month. Its early performance suggests that established financial platforms can use blockchain infrastructure to bring large retail audiences into on-chain markets.

The continued surge in Robinhood memecoins appears to be an important contributor to this activity. Similar to Pump.fun, the Robinhood ecosystem is benefiting from strong demand for speculative assets.

Its connection to a recognizable financial brand gives the activity a different distribution model. Instead of relying exclusively on crypto-native users, Robinhood can potentially introduce blockchain-based trading to customers already familiar with its traditional investment platform.

The contrast between Pump.fun and Robinhood Chain is therefore revealing. Pump.fun represents the bottom-up, permissionless side of crypto, where users create markets themselves and speculation drives activity.

Robinhood represents the institutionalized and consumer-oriented side, where an established financial company packages blockchain infrastructure into a familiar user experience. Both models demonstrate that revenue remains closely connected to transaction volume.

Ethereum Layer-2 networks have traditionally emphasized lower fees and greater scalability, but their economic success ultimately depends on attracting applications and users. Robinhood Chain’s early performance suggests that distribution and brand recognition can be just as important as technical infrastructure.

The numbers should not be interpreted as proof that memecoin-driven activity is sustainable indefinitely. Speculative markets can cool rapidly, causing transaction volumes and fees to decline. High revenue generated during a period of intense trading does not necessarily translate into durable adoption.

Pump.fun and Robinhood Chain are important indicators of where crypto adoption is heading. The next generation of blockchain growth may be driven less by abstract infrastructure narratives and more by platforms that can capture users, trading activity and financial attention.

Whether through permissionless memecoin launches or mainstream brokerage integration, the competition for on-chain economic activity is becoming increasingly intense.

TRON’s Q2 2026 Shows the Strength of Stablecoin Settlement

By
Paul Ugbede Godwin
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0

TRON’s second quarter of 2026 marked a significant milestone for the blockchain, as the network strengthened its position as one of the world’s most important settlement layers for stablecoins.

Across key indicators, TRON recorded another quarter of growth, with stablecoin supply, transaction activity, active addresses and network fees all reaching notable levels.

More importantly, the quarter provided evidence that TRON’s fee model can remain economically viable even after a major reduction in transaction costs.

Stablecoin supply on TRON reached $89.2 billion during Q2, reinforcing the network’s role in global digital-dollar settlement. USDT remained overwhelmingly dominant, accounting for approximately 98.5% of TRON’s stablecoin supply.

The concentration demonstrates how closely the network’s growth remains connected to Tether’s stablecoin ecosystem, while also highlighting TRON’s importance as infrastructure for moving dollar-denominated value across markets.

By the end of the quarter, TRON had become the largest host chain for USDT. This position reflects a broader shift in how blockchains are being evaluated. Rather than competing primarily on speculative activity or decentralized application growth.

Networks such as TRON are increasingly competing on settlement reliability, liquidity and transaction economics. For users transferring stablecoins, low fees and predictable execution can be more important than the number of applications available on a network.

Transaction activity provided further evidence of this demand. TRON recorded another quarterly record in daily transactions and active addresses, extending a streak that has now lasted three consecutive quarters.

Sustained growth across both measures suggests that the network’s increasing activity is not simply being generated by a small group of high-frequency users. Instead, the expanding address base indicates broader participation in the network’s settlement economy.

One of the most important developments was the recovery in network fees. TRON’s August 2025 fee reduction had raised questions about whether lower per-transaction costs could weaken the network’s overall fee revenue.

In Q2, however, fees increased in both TRX and U.S. dollar terms. The result suggests that growing transaction volumes can compensate for reduced pricing per unit. In other words, TRON appears to be demonstrating a volume-driven model in which greater usage offsets lower transaction costs.

That dynamic could become increasingly important as competition among blockchain settlement networks intensifies. Lower fees can attract users and liquidity, but the network must generate sufficient economic activity to maintain sustainable revenue.

TRON’s Q2 performance offers an early indication that scale may provide that balance. The quarter produced an important institutional development through Securitize’s HLSCOPE issuance. The regulated tokenized private credit product brought traditional financial assets directly onto TRON’s infrastructure.

Representing a notable step beyond stablecoin settlement. It also signals growing interest in using public blockchains for regulated financial products.

The expansion of compliance-focused venues, including BinanceUS, Bitnomial and OKX Europe, adds another layer to TRON’s institutional narrative. Greater access through regulated platforms could help bridge the gap between crypto-native liquidity and traditional financial markets.

TRON’s Q2 2026 performance illustrates a network increasingly defined by utility rather than speculation. Record stablecoin supply, rising transaction activity and recovering fees point toward a resilient settlement economy, while tokenized private credit introduces a new institutional dimension.

If these trends continue, TRON could strengthen its position as a major infrastructure layer for both digital dollars and the emerging tokenized financial system.

Recession Fears Fade as Trump Faces Renewed Security Concerns

By
Paul Ugbede Godwin
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0

Concerns about a potential recession in the United States have fallen to their lowest levels in months, reflecting growing confidence that the world’s largest economy can avoid a major downturn.

At the same time, a separate story surrounding President Donald Trump has highlighted the increasingly complex security environment surrounding the U.S. president after reports that he secretly changed aircraft following intelligence about a potential assassination plot.

The decline in recession expectations represents a significant shift in economic sentiment.

Investors and economists have spent much of the past year worrying about high interest rates, inflation, trade uncertainty and the possibility that tighter financial conditions could eventually weaken consumer spending and business investment.

Resilient economic activity has helped challenge those fears. Lower recession odds suggest markets are becoming more comfortable with the possibility of a soft landing. Under such a scenario, inflation continues to moderate without the economy experiencing a severe contraction.

Businesses maintain investment, households continue spending and the labor market avoids a dramatic deterioration. Financial markets are particularly sensitive to changes in recession expectations because economic growth influences corporate earnings, interest rates and investor risk appetite.

When recession fears decline, investors may become more willing to hold equities and other risk assets. Conversely, renewed concerns about contraction can quickly push capital toward traditionally defensive assets such as government bonds and gold.

The improvement in sentiment, however, does not mean recession risks have disappeared. Economic conditions can change rapidly, particularly when inflation, monetary policy and geopolitical tensions remain uncertain.

A sudden deterioration in employment or consumer demand could revive concerns about an economic slowdown. Against this economic backdrop, reports that Trump secretly switched planes after receiving intelligence about an assassination plot have introduced another dimension of uncertainty.

The reported decision underscores the extraordinary security considerations surrounding a sitting U.S. president, particularly when intelligence agencies identify a potentially credible threat.

Presidential travel is normally subject to extensive security planning, but intelligence suggesting a specific assassination threat can require immediate changes to established arrangements.

Changing aircraft can make it more difficult for potential attackers to anticipate the president’s movements, while also allowing security officials to respond discreetly to emerging threats.

The episode also demonstrates how national security can intersect with financial and political stability. Markets generally react negatively to unexpected political crises, especially when they involve the president or raise questions about the continuity of government.

Even when an incident does not directly affect economic fundamentals, uncertainty can influence investor confidence. For now, the contrasting developments tell two very different stories.

On the economic front, recession fears are retreating as investors gain confidence in the resilience of the U.S. economy. On the security front, reports surrounding Trump’s travel arrangements illustrate that significant political risks remain capable of emerging with little warning.

The decline in recession expectations is encouraging for financial markets, but it should not be interpreted as a guarantee of uninterrupted economic expansion. Meanwhile, the reported security scare serves as a reminder that political stability remains an important factor in the broader outlook.

As investors assess the months ahead, economic data, Federal Reserve policy and geopolitical developments will remain critical. A stronger-than-expected economy could continue pushing recession probabilities lower, while an unexpected economic or political shock could quickly reverse that optimism.

Goldman Says Both AI Bulls and Bears Are Overestimating the Economic Impact of Big Tech’s Spending Boom

By
Samuel Nwite
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0

The economic impact of the artificial intelligence investment boom is being overstated by both its biggest supporters and its most skeptical critics, according to Goldman Sachs, which says that the surge in spending by Big Tech is neither contributing as much to U.S. economic growth nor crowding out as much investment elsewhere as market narratives suggest.

The debate has intensified as the second-quarter earnings season shows little sign that major technology companies are preparing to slow their AI spending. Companies including Microsoft, Alphabet, Amazon and Meta Platforms continue to commit enormous sums to data centers, advanced chips, networking equipment and other infrastructure needed to develop and deploy AI systems.

For AI optimists, the spending is a powerful new source of economic growth. The construction of data centers, purchases of semiconductors and expansion of electricity infrastructure are now being cited as evidence that AI has become a major contributor to U.S. GDP.

Bearish investors, meanwhile, believe that the AI investment boom is absorbing capital and resources that could otherwise support other parts of the economy. They worry that technology companies are concentrating an unusually large share of corporate investment in a sector whose eventual financial returns remain uncertain.

Goldman Sachs economists say both interpretations go too far.

“While media reports and market commentary often claim that AI is making a very large contribution to US GDP growth but also crowding out a great deal of other activity, our analysis in prior work and above suggests that both claims are exaggerated,” Goldman U.S. economist Jessica Rindels wrote in a note on Tuesday.

The distinction matters because the amount companies spend on AI infrastructure does not translate directly into an equivalent contribution to domestic economic output.

A significant portion of the equipment being purchased by U.S. technology companies is manufactured overseas. Imports therefore reduce the amount of domestic value added captured in GDP calculations, even when U.S. companies are spending heavily on the equipment.

That means the headline figures for AI capital expenditure can give the impression of a larger direct economic contribution than the national accounts ultimately record.

Goldman’s analysis also takes into account the indirect effects of the investment boom, including the resources required to support rapidly expanding data-center capacity.

“We estimate that accounting for the indirect effects of AI—roughly $50bn of incremental crowding-out in 2026 from the three channels above, positive stock market wealth effects on consumer spending, and the hit to real income and consumer spending from higher electricity and other prices—would shave about 0.1pp off of the impact on 2026 GDP growth,” Rindels said.

The estimate points to a more complicated economic transmission mechanism than simply treating AI investment as an additional source of growth.

Data centers require enormous amounts of electricity, while the expansion of AI infrastructure is increasing demand for power generation, transmission equipment, and other resources. Higher demand can put upward pressure on electricity and other prices, affecting households and businesses outside the technology sector.

At the same time, the concentration of capital in AI does not necessarily mean that investment elsewhere is being displaced on a one-for-one basis. Technology companies are drawing on substantial cash flows and capital-market resources to finance their AI programs, while the broader U.S. economy remains capable of supporting investment in other sectors.

There is also a wealth effect working in the opposite direction. A sustained rise in technology stocks and other assets linked to the AI boom can increase household wealth and support consumer spending, partially offsetting some of the negative effects of higher infrastructure and energy costs.

This helps explain why Goldman does not see AI investment as either an enormous standalone boost to GDP or an investment vacuum that is starving the rest of the economy of capital.

The distinction could become increasingly essential for investors. Big Tech’s capital expenditure plans are now large enough to influence demand across semiconductor manufacturing, construction, power generation, utilities, networking equipment and data-center infrastructure. But the ultimate economic payoff will depend on how efficiently those investments translate into revenue and productivity gains.

For companies such as Microsoft, Amazon, Alphabet and Meta, the central question is therefore shifting from how much they are willing to spend to how much economic and financial output that spending ultimately produces.

The enormous cost of training and running AI models has also made infrastructure efficiency increasingly important. Companies are investing in increasingly powerful processors and specialized systems while seeking to improve utilization rates and reduce the amount of electricity required for each unit of computing.

Goldman’s assessment suggests that the AI boom should not be judged simply by the size of corporate capital-expenditure budgets. A large investment number can coexist with a relatively modest direct contribution to GDP when much of the underlying equipment is imported, while the broader economic effects can spread through electricity prices, construction, labor demand, financial markets and consumer spending.

The same analysis also challenges the bearish argument that AI spending is necessarily crowding out a comparable amount of investment elsewhere.

In other words, the AI boom is economically significant, but its impact is more nuanced than the more polarized market debate suggests. The investment surge is generating activity across multiple industries, while its direct contribution to measured U.S. output is constrained by the structure of the supply chain and the imported content of much of the infrastructure.

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