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AI Gold Rush to Drive Global M&A Toward $4tn in 2026 – PwC

By
Samuel Nwite
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0

The global mergers and acquisitions market is on course for its strongest year in half a decade, with artificial intelligence emerging as the dominant force behind a wave of blockbuster transactions that is reshaping corporate America and the broader global economy.

According to a new report from PwC, worldwide M&A activity is on track to reach $4 trillion in 2026, marking the highest annual deal value since the post-pandemic boom of 2021, when transactions exceeded $5 trillion. The surge is being driven largely by a growing concentration of megadeals, particularly in sectors linked to artificial intelligence, cloud computing, semiconductors, and digital infrastructure.

“2026 is the year M&A supersized,” said Brian Levy, global deals industries leader at PwC US.

“AI is propelling megadeals, redirecting capital and shuffling sector winners and losers,” Levy said.

“AI is intensifying the K-shaped M&A market and it is forcing dealmakers to radically rethink how deals get done.”

The report highlights a widening divide in the dealmaking landscape. Large corporations with strong balance sheets and access to capital are pursuing increasingly ambitious acquisitions, while mid-sized companies continue to face significant obstacles, including elevated borrowing costs, valuation disagreements, and persistent economic uncertainty.

If current trends continue, transactions valued above $5 billion will account for nearly half of all global deal value this year. PwC estimates that megadeal values could rise 40% year-on-year in 2026.

That shift is striking as deals above $5 billion represented just 26% of global M&A value in 2024. The figure rose to 39% in 2025 and now stands at 48% in 2026, illustrating how the market has become increasingly dominated by a small number of massive transactions.

This indicates that corporations are in a race to secure strategic assets that can strengthen their positions in the AI economy. Rather than building every capability internally, many companies are choosing to acquire technologies, talent pools, and infrastructure that can accelerate their AI ambitions. The result is a growing concentration of capital around a relatively small number of highly valued AI firms.

Among the most significant transactions this year is the agreement by SpaceX to acquire AI startup Cursor in a deal valued at $60 billion. The acquisition is expected to strengthen SpaceX’s artificial intelligence capabilities as it seeks to compete more aggressively against leading AI firms such as OpenAI and Anthropic.

The transaction also highlights how AI is increasingly becoming central to corporate strategy across industries that were once considered unrelated to artificial intelligence. SpaceX’s evolution from a space and satellite company into a broader AI and infrastructure player reflects a trend occurring across the technology sector.

Another major deal involves Salesforce, which agreed to acquire AI customer service platform Fin for $3.6 billion. The deal goes beyond an expansion of Salesforce’s product portfolio, with many seeing it as an effort to protect its long-term relevance as agentic AI begins to challenge traditional software-as-a-service business models.

Meanwhile, Qualcomm is reportedly exploring a takeover of AI chip company Modular in a transaction that could value the target at around $4 billion. Such a move would further intensify competition in the semiconductor industry, where companies are racing to develop hardware capable of supporting increasingly sophisticated AI workloads.

The growing dominance of AI-related acquisitions is transforming how investors assess corporate value.

Historically, mergers and acquisitions were often driven by cost synergies, market expansion, or consolidation opportunities. Increasingly, however, companies are pursuing acquisitions primarily to secure technological capabilities and specialized talent.

This trend is particularly visible in the AI sector, where experienced researchers and engineers remain in short supply. Acquiring an AI company often provides access not only to technology but also to teams that might otherwise be difficult to recruit.

The boom is also helping revive global dealmaking after several years of subdued activity caused by higher interest rates, inflation concerns, and geopolitical tensions.

Yet PwC cautions that the benefits are not being distributed evenly.

“Many mid-market dealmakers remain constrained by geopolitical uncertainty, valuation gaps, slowing growth, higher inflation and interest rates, and a private equity exit backlog that remains stubbornly high,” the report noted.

Private equity firms remain under pressure to exit investments accumulated during previous years, but many continue to struggle to achieve acceptable valuations in a higher-rate environment.

As a result, the M&A recovery is increasingly concentrated among large strategic buyers capable of financing transformative acquisitions.

Looking ahead, PwC believes AI could eventually reshape the mechanics of dealmaking itself.

The firm argues that artificial intelligence may improve asset valuation, due diligence processes, and transaction analysis, potentially making private markets more efficient and liquid over time.

“Over time, AI could make private markets more liquid by making assets easier to evaluate and trade,” PwC said.

The firm added that future dealmaking will increasingly combine machine-driven analysis with human judgment.

“That is where trust will sit.”

The broader implication is that AI is no longer simply another technology sector attracting investment. It is becoming the central force influencing capital allocation across industries, determining which companies attract funding, which become acquisition targets, and which risk being left behind.

If the current pace continues, 2026 will not only be remembered as one of the strongest years for mergers and acquisitions since the pandemic-era boom. It may also mark the point at which artificial intelligence became the primary engine driving global corporate dealmaking.

Crypto Scams Under Fire as FBI Intensifies Enforcement Efforts

By
Paul Ugbede Godwin
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0

As cryptocurrency continues to gain mainstream adoption, it has also become a target for fraudsters, cybercriminals, and sophisticated scam networks.

In response to the growing threat, FBI Director Kash Patel has reaffirmed the agency’s commitment to combating cryptocurrency-related crimes, declaring that the FBI will actively pursue crypto scammers and ensure they are brought to justice.

His remarks reflect a broader effort by U.S. law enforcement agencies to strengthen oversight of digital assets and protect investors from increasingly complex financial crimes.

The rapid growth of cryptocurrencies such as Bitcoin, Ethereum, and various stablecoins has created new opportunities for innovation in finance.

The decentralized nature of blockchain technology has also attracted criminals who exploit unsuspecting users through investment fraud, phishing attacks, rug pulls, Ponzi schemes, and ransomware operations. According to law enforcement reports, losses linked to cryptocurrency scams have reached billions of dollars annually, affecting both individual investors and large institutions.

Patel’s statement signals a strong enforcement stance at a time when regulators and governments worldwide are struggling to balance innovation with consumer protection. While some critics have argued that cryptocurrencies provide anonymity for criminals, law enforcement agencies have become increasingly effective at tracking illicit transactions.

Blockchain technology creates permanent transaction records, allowing investigators to trace the movement of funds across wallets and exchanges. Modern forensic tools have significantly improved the ability of authorities to identify bad actors operating within the digital asset ecosystem.

The FBI has already demonstrated its capabilities in this area through numerous high-profile investigations.

In recent years, the agency has collaborated with international partners, cryptocurrency exchanges, and cybersecurity firms to dismantle fraud rings, recover stolen digital assets, and prosecute cybercriminals.

These efforts highlight the growing sophistication of law enforcement’s approach to digital crime and challenge the misconception that cryptocurrency transactions are impossible to trace. Patel emphasized that criminals should not assume digital assets provide immunity from prosecution.

As investigative technologies continue to advance, authorities are becoming better equipped to identify suspicious activity and connect blockchain transactions to real-world individuals and organizations. This capability is particularly important as scammers increasingly use social media platforms, messaging applications, and fake investment websites to target victims across borders.

The FBI’s commitment also serves as a warning to organized criminal groups that have expanded their operations into the cryptocurrency sector. Many scams are no longer conducted by isolated individuals but by well-funded networks operating internationally.

These organizations often exploit regulatory gaps and jurisdictional complexities to evade detection.

By strengthening partnerships with foreign governments and private-sector stakeholders, the FBI aims to disrupt these networks and reduce the financial harm they cause. For investors, Patel’s remarks underscore the importance of vigilance and due diligence.

While enforcement efforts are essential, individuals must also take responsibility for protecting themselves from fraud. Verifying investment opportunities, avoiding unrealistic promises of guaranteed returns, and using reputable exchanges can significantly reduce the risk of falling victim to scams.

Kash Patel’s pledge reflects a broader shift toward stronger enforcement in the digital asset industry. As cryptocurrency becomes more integrated into the global financial system, regulators and law enforcement agencies are likely to increase their efforts to combat fraud and illicit activity.

The message from the FBI is clear: crypto scammers may operate in a digital world, but they remain subject to real-world consequences, and authorities are determined to hold them accountable.

$15B Crypto Fraud Network Exposed as Tokyo Police Detain Key Suspect

Tokyo Police have announced the arrest of a high-profile figure alleged to be the central coordinator of a sprawling cryptocurrency scam network tied to roughly $15 billion in illicit exploits.

The operation, described by investigators as one of the most complex digital fraud ecosystems ever dismantled in Japan, allegedly spanned multiple jurisdictions, shell companies, decentralized finance protocols, and offshore laundering channels.

According to preliminary statements from law enforcement, the suspect is believed to have orchestrated a multi-layered scheme involving phishing operations, wallet drainers, fake investment platforms, and social engineering campaigns targeting both retail investors and institutional crypto holders.

Authorities claim the group evolved rapidly over the past several years, adapting its tactics to exploit weaknesses in decentralized exchanges, cross-chain bridges, and emerging yield-generating protocols.

The arrest followed a coordinated investigation involving Tokyo Metropolitan Police, cybercrime units, and international partners across Asia, Europe, and North America. Digital forensics teams reportedly traced blockchain transactions through mixers and privacy-enhancing tools, gradually reconstructing a network of interconnected wallets allegedly controlled by the organization’s leadership structure.

Officials stated that the group’s operations were not limited to Japan, but instead formed part of a global fraud infrastructure that leveraged anonymity technologies and regulatory fragmentation. Victims are believed to span dozens of countries, with losses ranging from small retail portfolios to large institutional treasury reserves exposed.

Prosecutors argue that the kingpin played a strategic role rather than directly executing all attacks, instead coordinating specialized sub-teams responsible for coding malicious contracts, distributing phishing links, and laundering proceeds through over-the-counter brokers and crypto casinos.

This division of labor, investigators say, made detection significantly more difficult and allowed the organization to scale rapidly without immediate attribution.

The estimated $15 billion figure, while still under review, is based on cumulative on-chain analysis of suspicious inflows, known exploit clusters, and associated theft reports submitted to global cybercrime databases. Experts caution that the final confirmed total may shift as further wallet attribution work continues.

The arrest has sent shockwaves through the crypto industry, reigniting debates about the security of decentralized finance and the adequacy of current regulatory frameworks. Industry analysts argue that while blockchain transparency aids investigations, the speed and sophistication of modern laundering techniques.

Tokyo authorities have indicated that further arrests are likely as the investigation expands. They also signaled increased cooperation with international agencies to dismantle remaining nodes of the network and recover stolen assets where possible.

If convicted, the suspect could face severe penalties under Japan’s cybercrime and financial fraud statutes, marking one of the most significant legal actions in the country’s ongoing crackdown on large-scale digital asset crime.

Authorities further emphasized that the case highlights an evolving threat landscape where organized cybercrime groups operate with corporate-like efficiency and global reach. They urged crypto users to adopt stronger security practices, including hardware wallet storage, multi-factor authentication, and heightened scrutiny of investment platforms.

Investigators also noted that additional blockchain intelligence firms are assisting in mapping residual funds and identifying potential accomplices still at large. Officials also warned that recovered assets may take years to trace fully, given the layered use of mixers, cross-chain swaps, and privacy protocols that obscure transactional provenance across multiple blockchains.

SOL/ETH Surges to Highs Last Seen in March as Solana Outperforms Ethereum

By
Paul Ugbede Godwin
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0

The cryptocurrency market has once again turned its attention to the rivalry between Solana (SOL) and Ethereum (ETH), as the SOL/ETH trading pair surged to levels not seen since March.

The move highlights a period of strong relative performance for Solana, which has been gaining momentum amid renewed investor interest, expanding ecosystem activity, and improving market sentiment toward alternative blockchain networks. The SOL/ETH pair measures the value of Solana relative to Ethereum.

When the ratio rises, it indicates that Solana is outperforming Ethereum, either because SOL is appreciating faster than ETH or because ETH is declining while SOL remains resilient. The recent climb to multi-month highs signals that traders and investors are increasingly favoring Solana over Ethereum in the current market environment.

Several factors have contributed to Solana’s strength. First, the network has continued to attract developers and users thanks to its high-speed transaction processing and comparatively low fees.

As decentralized finance (DeFi), gaming, and consumer-focused blockchain applications continue to grow, Solana has positioned itself as an attractive platform for projects seeking scalability without the congestion costs often associated with Ethereum during periods of heavy network usage.

Another major driver has been institutional and retail interest in the Solana ecosystem. Over the past year, investment products tied to SOL have seen increased attention, while discussions surrounding potential exchange-traded funds (ETFs) linked to Solana have fueled speculation about broader market adoption.

Investors frequently view such developments as indicators of growing legitimacy and future capital inflows. Meanwhile, Ethereum has faced a more mixed narrative. Despite remaining the dominant smart-contract platform by total value locked and developer activity, Ethereum’s growth has become more mature.

Investors increasingly evaluate whether alternative networks can capture a larger share of blockchain activity. While Ethereum continues to benefit from its security, decentralization, and extensive ecosystem, some traders believe Solana offers greater upside potential during bullish market cycles.

The rise of the SOL/ETH ratio also reflects changing market dynamics within the broader digital asset sector.

Bitcoin tends to lead major rallies, followed by Ethereum and then alternative cryptocurrencies. As confidence returns to the market, investors often rotate capital into assets perceived to have higher growth potential. Solana has emerged as one of the primary beneficiaries of this trend, attracting both speculative capital and long-term ecosystem investment.

From a technical analysis perspective, the break above previous resistance levels has further strengthened bullish sentiment. Traders often interpret new multi-month highs as confirmation of an ongoing trend, which can attract additional buying interest. If momentum continues, analysts may begin targeting even higher ratio levels that have not been seen since earlier phases of the crypto market’s recovery.

Cryptocurrency markets are notoriously volatile, and rapid gains can be followed by equally sharp corrections. Ethereum still maintains significant advantages, including a vast developer community, institutional trust, and a robust infrastructure of decentralized applications. Any major upgrade, regulatory development, or shift in market sentiment could alter the balance between the two networks.

The return of the SOL/ETH ratio to its highest levels since March underscores Solana’s growing influence within the cryptocurrency landscape. While Ethereum remains the industry benchmark for smart-contract platforms, Solana’s recent outperformance demonstrates that competition among blockchain networks is intensifying.

As investors monitor adoption trends, technological progress, and market conditions, the evolving relationship between Solana and Ethereum will remain one of the most closely watched indicators in the digital asset market.

Why African Blockchain Startups Struggle to Get Listed on Major Exchanges

By
Paul Ugbede Godwin
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0

In recent years, Africa’s crypto ecosystem has expanded rapidly, driven by youth adoption, mobile-first finance, and demand for alternatives to fragile banking systems.

Yet a recurring sentiment among some African crypto founders is that global exchanges, particularly Binance, are slower to list African-origin tokens compared to projects emerging from Asia, Europe, and North America.

This perception has fueled debates about fairness, visibility, and whether innovation from emerging markets receives equal consideration in global liquidity hubs. Founders across Africa: Nigeria, Kenya, Ghana, and other innovation hubs often argue that their projects face stricter scrutiny or prolonged listing cycles, even when comparable metrics such as community engagement, utility, and on-chain activity appear strong.

Some interpret this as a structural bias, while others describe it more cautiously as a communication gap between African builders and centralized exchange listing teams. The frustration is amplified by the fact that many African projects are solving real-world problems such as remittances, inflation hedging, and informal finance digitization.

Yet struggle to achieve the same market exposure as speculative tokens from more established venture ecosystems.

From the perspective of exchanges like Binance, listing decisions are typically governed by a mix of factors: regulatory risk, liquidity depth, security audits, compliance readiness, and market demand.

Binance operates in multiple jurisdictions under varying legal frameworks, which can make token approval especially cautious for regions where regulatory clarity is still evolving. Projects originating from Africa may face additional onboarding friction not necessarily due to geography, but due to differences in documentation standards, venture backing, and market-making support, which are often prerequisites for sustainable exchange listings.

At the same time, the contrast in perceived treatment becomes more visible when high-volume listings from well-funded teams in Asia or the United States enter the market quickly, sometimes with extensive marketing support and immediate liquidity provisioning.

This creates an impression that innovation from the Global North receives preferential acceleration. However, this may also reflect ecosystem maturity rather than intentional exclusion: established venture networks, legal frameworks, and institutional liquidity channels tend to streamline the listing pipeline for those regions.

African founders, operating in a more fragmented funding and infrastructure environment, may therefore experience slower integration into global exchange ecosystems. The issue is less about deliberate exclusion and more about uneven infrastructure across global crypto markets.

If African projects continue to improve audit standards, compliance readiness, and liquidity partnerships, listing friction may reduce over time.

Likewise, exchanges could benefit from more transparent listing criteria and proactive engagement with emerging-market builders. Bridging this gap would not only improve fairness perceptions but also unlock a significant pool of innovation from a region where crypto adoption is among the fastest growing in the world.

Another dimension often raised in industry discussions is the role of alternative listing pathways. Decentralized exchanges and regional trading platforms sometimes provide earlier liquidity for African tokens, bypassing centralized gatekeeping processes.

However, these venues typically lack the depth, security assurances, and institutional visibility of major global exchanges, which limits price discovery and long-term sustainability. As a result, African founders remain incentivized to prioritize listings on large centralized platforms despite perceived barriers.

At the same time, exchanges face growing pressure to balance inclusivity with risk management, particularly as regulatory scrutiny intensifies worldwide. Improving transparency around listing criteria, application timelines, and rejection feedback could significantly reduce friction between builders and exchanges.

AI startup Baseten Announces $1.5bn Round, hits $13bn valuation

By
Samuel Nwite
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0

The artificial intelligence investment frenzy is increasingly shifting away from the companies building large language models and toward the firms supplying the infrastructure that allows those models to operate at scale.

That trend was underscored this week when California-based AI startup Baseten announced a $1.5 billion funding round that values the company at $13 billion, one of the largest private funding deals in the AI infrastructure sector this year.

The round was led by Sands Capital and Wellington Management, while Australian venture capital giant Blackbird VC participated with what it described as the largest investment in its history. Although Blackbird did not disclose the amount invested, the firm said the deal represents its biggest financial commitment to date.

The financing highlights the enormous investor appetite for companies positioned in the less glamorous but increasingly critical layer of the AI ecosystem: inference infrastructure. While firms such as OpenAI, Anthropic, and Google have attracted attention for developing advanced AI models, a growing number of investors are focusing on the infrastructure providers that help enterprises deploy, customize, and run those models efficiently.

Baseten sells software and computing infrastructure that enables companies to build and deploy customized AI applications. Rather than creating foundational models itself, the company provides the tools that allow businesses to operationalize AI systems, often at lower costs than relying directly on major model providers.

That positioning appears to be resonating strongly with customers.

Baseten said revenue has increased 20-fold over the past year, driven largely by surging demand for inference services. Inference refers to the stage where trained AI models are put into real-world use, generating responses, recommendations, images, code, or other outputs for customers.

The distinction is becoming increasingly important across the AI industry. Training frontier AI models requires enormous computing resources and billions of dollars in investment. However, many analysts believe inference could ultimately become the larger market because every AI interaction, query, and application depends on inference infrastructure after a model has been trained.

As enterprises increasingly embed AI into products, workflows, and customer services, demand for efficient inference platforms is expected to rise sharply.

Baseten’s latest fundraising is its fourth capital raise in just 18 months, reflecting how rapidly investors are pouring money into infrastructure providers that support the commercialization of generative AI.

“It’s a signal of conviction,” Blackbird partner Michael Tolo said, explaining the firm’s decision to deepen its investment.

Tolo argued that the economics of AI deployment are beginning to change in ways that favor infrastructure specialists.

“For companies building AI into their tech systems, Baseten competes with companies like OpenAI and Anthropic at a lower price, and this is the biggest shift that we’ve seen in both unit economics and competitive leverage within the AI market so far,” he said.

However, enterprises are becoming increasingly sensitive to costs associated with running AI workloads as competition intensifies. While foundation model providers have spent heavily building cutting-edge systems, a parallel race has emerged among infrastructure companies seeking to reduce deployment costs and improve performance.

Investors now see that layer of the market as potentially more durable and profitable than model development itself.

The funding round also bolsters a wider investment narrative that has dominated technology markets over the past two years. Much of the capital flowing into AI has focused on the infrastructure stack rather than end-user applications. Chipmakers, cloud providers, data center operators, networking companies, and inference platforms have attracted massive valuations as investors bet they will benefit regardless of which AI models ultimately dominate the market.

The strategy mirrors previous technology cycles where infrastructure providers often emerged as some of the biggest winners. During the internet boom, for example, companies supplying networking equipment, cloud infrastructure, and software platforms frequently generated more sustainable returns than many consumer-facing startups.

Baseten now joins a growing list of AI infrastructure firms attracting multibillion-dollar valuations as investors take positions for what many believe will be years of rising enterprise AI adoption. The company said it plans to use the new capital to expand computing capacity, enhance its software platform, and hire additional staff.

The fundraising also highlights Australia’s growing footprint in the global AI ecosystem. Baseten was co-founded by Australians, while Blackbird’s participation demonstrates how local venture capital firms are increasingly gaining exposure to some of Silicon Valley’s most valuable private technology companies.

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