DD
MM
YYYY

PAGES

DD
MM
YYYY

spot_img

PAGES

Home Blog Page 15

Tether is Expanding Into a Holding Company-like Entity 

0

Tether, the issuer of the world’s largest stablecoin USDT, is undergoing a significant transformation and expanding its operations far beyond its core stablecoin business.

Recent reports, particularly from the Financial Times describe Tether as accelerating its evolution from a primarily crypto-focused infrastructure provider into a more diversified holding company-like entity.

Tether’s headcount has grown to around 300 employees, with plans to hire an additional 150 staff over the next 18 months. These hires focus heavily on engineers and other technical roles to support technology development and broader initiatives.

The company now manages approximately 140 investments through arms like Tether Investments. This eclectic portfolio spans sectors including artificial intelligence (AI), energy, media, fintech, precious metals, agriculture, digital assets, land, and peer-to-peer communications.

Notable recent moves include: A $150 million strategic investment in Gold.com acquiring ~12% stake to enhance access to tokenized and physical gold, integrating with Tether’s gold-backed asset XAU?.

A $100 million equity investment in Anchorage Digital, a U.S.-regulated digital asset bank, to bolster custody, staking, and regulated stablecoin infrastructure like supporting its USA? stablecoin. Tether is centralizing financial and operational management in London under new CFO Simon McWilliams to improve corporate governance and discipline.

The company emphasizes building a “freedom tech stack” across finance, intelligence, communications, and energy, while deploying massive profits into these areas. Tether, through its investment arm Tether Investments, has been actively expanding into artificial intelligence (AI) as part of its broader diversification strategy beyond stablecoins.

This push aligns with CEO Paolo Ardoino’s vision of building a “freedom tech stack” that includes decentralized, peer-to-peer AI infrastructure to empower individuals in emerging markets and beyond.

Tether’s AI efforts focus on decentralized/on-device AI, physical AI (robotics), and related infrastructure, often integrating with its stablecoins like USDT for payments in AI ecosystems.

As of February 2026, Tether’s portfolio includes around 140 investments across sectors like AI, robotics, energy, and more, with AI being a key pillar. The company operates over 20,000 dedicated AI GPUs for its initiatives and emphasizes local/on-device AI to avoid reliance on centralized big tech platforms.

Tether participated in a €70 million ~$81 million funding round for this humanoid robotics startup, a major spinoff from the Italian Institute of Technology (IIT). The investment supports development of intelligent humanoid robots with Physical AI (fusion of robotics and AI), edge AI solutions, industrial-scale performance, and human-centric interaction.

Funding accelerates platform validation, production facilities, and ecosystem integration. Paolo Ardoino highlighted synergies with Tether’s on-device AI platform QVAC and programmable money. Tether was in advanced talks to lead a massive €1 billion ~$1.07-1.15 billion investment round, potentially valuing Neura at €8-10 billion.

This German humanoid robotics firm focuses on AI-driven robots. While some reports described it as committed or over $1 billion, confirmation status as of early 2026 appears ongoing or partial—it’s positioned as one of Tether’s largest AI bets in robotics.

QVAC: This is Tether’s flagship internal AI project—a peer-to-peer, on-device AI platform inspired by Isaac Asimov’s “The Last Question.” It runs locally on smartphones targeting accessibility in Africa/South America within 3-5 years to enable decentralized AI agents. It integrates with Tether’s ecosystem, like wallets (WDK) allowing AI agents to handle USDT/Bitcoin transactions.

Ardoino has described it as aiming to become the world’s largest decentralized AI platform, countering centralized big tech. Tether is building AI capabilities with significant GPU resources and hiring aggressively (150+ roles planned over 18 months), including AI filmmakers in Italy and engineers for AI/telecom/data projects.

Investments support “moonshot” ventures in AI, satellites, and data centers for decentralized intelligence. Tether deploys profits from US Treasuries, gold, Bitcoin into these areas for long-term resilience and utility.

AI investments often tie into physical world applications (robotics for industrial/human augmentation) and decentralization (on-device to promote freedom from big tech control). While not all details on every AI stake are public (portfolio is eclectic and ~140 total), public announcements emphasize robotics/AI as high-priority for augmenting human potential and integrating with financial tools.

This positions Tether as an emerging player in AI beyond crypto, leveraging its financial strength for strategic tech bets.

Jon Radoff: “Software’s Creator Era Has Arrived”

0

Jon Radoff argues that software development has progressively democratized over time, evolving from highly specialized, resource-intensive work to something more accessible and “creator-like”—where individuals or small teams can build, distribute, and monetize tools with far less friction. It’s framing a major shift in the software industry, accelerated by AI advancements.

The invention of the compiler; early step: moving from low-level assembly to higher-level languages that let programmers express ideas more naturally. Later developments like high-level languages, open-source ecosystems, app stores, cloud computing, no-code/low-code platforms, and now generative AI tools that let non-experts or “creators” prototype and ship software rapidly.

This trajectory mirrors the broader creator economy, think YouTube, Substack, TikTok, Patreon, where barriers to production and distribution drop dramatically, empowering individuals over centralized gatekeepers. In software’s case, the “SaaSpocalypse”—a recent $285 billion drop in software market value tied to AI tools disrupting traditional SaaS—is seen as the tipping point.

We’re entering what he calls the Creator Era of Software, where AI acts as the final accelerator, making creation feel more like content creation than traditional engineering. Recent events like new AI coding/agent tools from companies such as Anthropic have intensified this, sparking investor panic about legacy software models being commoditized or replaced.

Traditional SaaS companies built moats around complex, hard-to-replicate features, but when AI can generate similar functionality quickly and cheaply, the economics flip toward individuals or small creators who move fast and focus on niche value, distribution, or user experience.

This isn’t entirely new—trends like indie hackers, no-code tools and app marketplaces have been building this for years—but AI is giving it “escape velocity.” More solo developers or creators shipping personalized tools, wrappers, or agents, often monetized directly via subscriptions, one-time fees, or even crypto/vibe-based models emerging in some circles.

What is the SaaSpocalypse?

The term “SaaSpocalypse” is a portmanteau of “SaaS” (Software-as-a-Service) and “apocalypse,” coined to describe a dramatic and sudden decline in the market value of software companies, particularly those in the enterprise SaaS sector.

It refers to a massive sell-off in stocks that wiped out approximately $285 billion in market capitalization across global software, financial services, and data companies in early February 2026.

This event signals a broader structural shift in the software industry, driven by advancements in artificial intelligence (AI) that threaten to disrupt or replace traditional SaaS business models.

Rather than a temporary market correction, it represents investor fears that AI agents and tools could commoditize or automate many functions currently handled by specialized software platforms, reducing the need for human-mediated integrations and subscriptions.

The term gained traction on Wall Street, with analysts like those at Jefferies using it to characterize the panic selling as a “get me out” style reaction, where sentiment shifted from viewing AI as an enhancer of SaaS to a potential replacer.

It echoes similar disruptions in other industries, such as the “retail apocalypse” caused by e-commerce, but here the culprit is AI’s ability to perform complex tasks autonomously.

The immediate trigger for the SaaSpocalypse was the launch of new AI capabilities by Anthropic, specifically the “Claude Cowork” feature also referred to in discussions as “Claude Plugins” or “agentic plugins.”

Announced in early February 2026, this no-code, agentic AI assistant is designed for enterprise workflows, allowing Claude (Anthropic’s AI model) to automate tasks across functions like legal, finance, marketing, sales, product management, and data analysis.

Claude can manage daily planning, build context memory, write feature specifications, create content, assist with financial reporting, and generate dashboards without relying on external platforms.

Independence from SaaS Ecosystems

Unlike traditional tools that require integrations with platforms like Salesforce, ServiceNow, or Adobe, Claude operates independently, using natural language prompts to orchestrate solutions. This bypasses the need for many SaaS subscriptions, as AI agents can “route around” complex APIs and ecosystems.

The market reaction was swift: On the day of the announcement, major SaaS stocks plummeted. Salesforce, Adobe, Workday, and ServiceNow dropped 6%-8%, while the broader IT sector fell 6%, dragging the Nasdaq down over 350 points. Legal and data services were hit harder, with LegalZoom down 20%, Thomson Reuters over 15%, and RELX ~14%. Globally, Indian IT firms like Infosys (down ~6%) and Wipro (5%) saw their ADRs affected.

Enterprise software stocks had already been drifting lower for months due to quiet doubts about SaaS sustainability, but the Anthropic launch turned this into a “snap” decline.

This wasn’t isolated; it built on prior AI advancements, such as Google’s agent-first IDE and tools like Replit, which enable “vibe coding” (accepting AI-generated code with minimal review). The shift in investor mindset—from “AI helps SaaS” to “AI replaces SaaS”—amplified the sell-off.

The SaaSpocalypse is not a sudden anomaly but the culmination of decades-long trends in software development, as outlined in Jon Radoff’s essay “Software’s Creator Era Has Arrived” (published February 7, 2026).

Radoff frames software’s evolution through three overlapping eras: Pioneer Era (1960s–1980s): Software was built from scratch, requiring deep technical expertise. Companies like IBM and early Microsoft dominated, with competitive advantages tied to having skilled programmers.

Engineering Era (Past Three Decades): This era introduced abstractions like frameworks, APIs, and SaaS platforms (e.g., AWS for cloud infrastructure, Stripe for payments, Salesforce for CRM). These tools boosted productivity but still relied on engineers for integrations, debugging, and maintenance.

SaaS models created predictable revenue through subscriptions, but they also built “moats” around complex features that AI can now replicate quickly and cheaply. Software creation becomes democratized, akin to content creation on platforms like YouTube or TikTok. Barriers drop, allowing non-engineers (“creators”) to build and distribute tools via natural language and AI agents.

Radoff argues that software has been on a “long, slow march” toward this creator economy since the 1950s, driven by increasing layers of abstraction: Early innovations like Grace Hopper’s A-0 (1952) and Fortran (1957) translated high-level languages into machine code, decoupling intent from low-level implementation.

AI as the Final Accelerator

Generative AI acts as a “compiler for natural language,” enabling “vibe coding” coined by Andrej Karpathy and “agentic engineering,” where users describe ideas in plain English, and AI handles the rest.

Examples include building an RPG in a day using LLM prompts from a 2023 experiment or Claude Code optimizing neural network training pipelines. Radoff quotes Karpathy: “programming via LLM agents is increasingly becoming a default workflow for professionals,” and Naval Ravikant.

“Vibe coding is the new product management. Training and tuning models is the new coding.” This mirrors democratizations in other fields, like Shopify for e-commerce or Roblox for games, where anyone can create without deep tech skills.

AI is the core disruptor, shifting software from an engineering-heavy process to one focused on intent and imagination. Tools like Claude Cowork perform tasks autonomously, learning and adapting without constant human input.

This commoditizes APIs, as agents can orchestrate solutions across tools without custom integrations. Software 2.0: Systems learn behaviors rather than being explicitly programmed, making expertise in libraries like PyTorch optional.

Developers become “architects” overseeing systems, with AI handling implementation. This enables smaller teams to achieve what once required hundreds. Many SaaS firms added “copilot” features (AI assistants), but agents like those from Anthropic replace entire workflows.

Palantir’s CEO Alex Karp noted: “AI isn’t just augmenting enterprise software, it’s replacing it.” A report from AlixPartners predicts a $500 billion collapse in SaaS revenue due to this. Beyond the initial $285 billion wipeout, the event led to a rerating of tech stocks, with ASX tech shares in Australia crashing similarly due to AI fears.

Enterprise software faces ongoing pressure as investors question moats built on complexity. Engineers and admins may face painful transitions, with value shifting to system overseers and creators who focus on niche value, distribution, or user experience.

Japanese Stocks Surge to Record Highs as Takaichi’s Election Landslide Supercharges Market Optimism

0

Markets treated Sanae Takaichi’s landslide election victory as a green light for a renewed, more assertive version of Japan’s growth-first economic experiment.

Japanese equities surged to fresh record highs on Monday, leading gains across Asia after Prime Minister Sanae Takaichi secured a decisive election victory that markets swiftly interpreted as a mandate for aggressive pro-growth policies, fiscal expansion, and a looser monetary stance.

The ruling Liberal Democratic Party clinched a two-thirds supermajority in the 465-seat lower house, according to public broadcaster NHK, giving Takaichi an unusually strong grip on parliament and clearing the path for policy execution with minimal legislative resistance.

The Nikkei 225 briefly surged past the 57,000 mark for the first time in history before paring gains to close 3.9% higher at 56,363.94. The broader Topix index also ended at a record, rising 2.3% to 3,783.94, underscoring the breadth of the rally beyond heavyweight exporters and technology stocks.

Market participants have increasingly positioned for what has become known as the “Takaichi trade,” a reflationary bet built around expectations of higher government spending, corporate-friendly tax reforms, and a continuation of the policies that underpinned the Abenomics era. Investors see her victory as removing lingering political uncertainty that had weighed on sentiment following last year’s legislative setbacks for the LDP.

“A decisive win for Takaichi is arguably the best outcome for markets over the medium term,” said Sree Kochugovindan, senior research economist at Aberdeen Investments.

He pointed to the likelihood of strategic public investment, supply-side reforms, and tax measures that could lift corporate earnings and sustain equity valuations.

Takaichi’s platform has emphasized industrial policy, defense, and technology investment, and incentives aimed at reversing decades of underinvestment. With a commanding parliamentary majority, analysts say her administration now has the political capital to push through budgetary expansion even as public debt remains elevated by global standards.

The rally in equities was accompanied by notable moves in currency and bond markets, reflecting expectations of more accommodative financial conditions. The yen strengthened modestly to 156.88 against the dollar, while Japanese government bond yields climbed, signaling anticipation of heavier debt issuance and stronger nominal growth. Yields on the 10-year JGB rose nearly 4 basis points to 2.274%, while 20-year yields gained around 3 basis points to 3.158%.

Crédit Agricole CIB said in a post-election note that the result gives Takaichi’s government stronger momentum to pivot decisively toward proactive fiscal policy, backed by a clear electoral mandate. That stance could complicate the Bank of Japan’s gradual normalization path, particularly if fiscal stimulus reignites inflationary pressures.

The election also marks a sharp political turnaround. It follows a turbulent period in which the LDP lost its majority in the Upper House last year and suffered a defeat in the Lower House in 2024, developments that ultimately led to the resignation of former Prime Minister Shigeru Ishiba in September. Takaichi’s gamble to call a fresh election now appears to have paid off handsomely.

There was a swift International reaction to the outcome. U.S. President Donald Trump congratulated Takaichi in a post on TruthSocial, praising her leadership and describing the election outcome as a strong endorsement from Japanese voters. His message reinforced expectations of continuity in U.S.-Japan relations at a time of heightened geopolitical and trade tensions.

The bullish mood spilled across the region. South Korea’s Kospi jumped 4.1% to 5,298.04, while the tech-heavy Kosdaq added 4.3%. Australia’s S&P/ASX 200 rose 1.85% to 8,870.1. In Greater China, Hong Kong’s Hang Seng Index climbed 1.71%, and mainland China’s CSI 300 gained 1.63%. India’s Nifty 50 was also higher, adding 0.61% by early afternoon local time.

Thailand stood out after its own political catalyst, with the SET Index surging nearly 4% following a decisive general election victory for Prime Minister Anutin Charnvirakul’s Bhumjaithai Party, reinforcing the theme of political clarity lifting risk appetite across Asia.

U.S. equity futures edged higher, extending momentum from Friday’s rally on Wall Street, when tech stocks rebounded after several sessions of heavy selling and bitcoin recovered from a deep pullback. The Dow Jones Industrial Average closed above 50,000 for the first time, while the S&P 500 and Nasdaq Composite posted strong gains, helping the broader market claw back into positive territory for 2026.

The scale of Monday’s rally reflects more than short-term relief for Japan. Investors are increasingly betting that Takaichi’s victory represents a structural inflection point, one that could finally align political stability, fiscal activism, and corporate reform. But some analysts believe that the realization of the expectations will depend on execution.

However, markets are currently signaling confidence that Japan’s new political chapter could extend its equity boom well beyond recent records.

China Property Slump Deepens as S&P Cuts 2026 Sales Outlook, Warns of Entrenched Oversupply

0

S&P’s latest downgrade points to a property crisis that has shifted from a cyclical downturn into a structural constraint on China’s economy, with mounting risks for growth, developers, banks, and local governments.

China’s property slump is deepening into what ratings agency S&P Global now describes as a prolonged and entrenched downturn, one that shows little sign of stabilizing barely two months into 2026.

In a sharply more pessimistic assessment released on Sunday, S&P said primary real estate sales are likely to contract by 10% to 14% this year, a far steeper decline than the 5% to 8% drop it forecast as recently as October.

The downgrade reflects how quickly conditions have deteriorated and how limited the policy response has been relative to the scale of the problem. According to S&P, the excess supply in China’s housing market has grown so large that market forces alone are no longer capable of clearing it.

“This is a downturn so entrenched that only the government has capacity to absorb the excess inventory,” the analysts said.

At the heart of the problem is a property sector that expanded aggressively for more than a decade on the back of easy credit, rising household wealth, and strong expectations of price appreciation. At its peak, real estate and related industries accounted for more than a quarter of China’s economic activity. That model began to unravel after Beijing moved to rein in developers’ debt-heavy expansion, triggering liquidity stress across the sector and exposing long-standing overbuilding.

What has followed is one of the sharpest property corrections in modern Chinese history. Annual sales volumes have halved in just four years. Yet construction did not slow in line with falling demand. S&P said developers continued to complete projects even as buyers stayed away, resulting in a sixth consecutive year of rising unsold new housing.

This growing inventory overhang is now weighing heavily on prices. S&P expects home prices to fall by a further 2% to 4% this year, extending declines seen in 2025. The agency said lower prices are feeding directly into weaker demand, as households delay purchases in the expectation that values will fall further.

“Falling prices erode homebuyers’ confidence,” the report said. “It’s a vicious cycle with no easy escape.”

What alarms analysts most is that the weakness is no longer confined to smaller cities and lower-tier markets, where oversupply has long been most severe. S&P said price declines in China’s biggest cities worsened in the fourth quarter of last year, undermining hopes that these markets could anchor a broader recovery.

Beijing, Guangzhou, and Shenzhen all recorded home price declines of at least 3% in 2025, according to the report. These cities had previously been viewed as relatively healthy, supported by higher incomes, population inflows, and deeper demand. Shanghai stood out as the sole major city to post gains, with prices rising 5.7% last year, but S&P suggested that this strength is increasingly isolated and insufficient to offset nationwide weakness.

The pace at which forecasts have deteriorated illustrates how far the market has slipped. In May last year, S&P was still projecting a modest 3% decline in new home sales. By October, that estimate had been revised to an 8% drop. Actual sales ended up falling by 12.6% in 2025, to 8.4 trillion yuan ($1.21 trillion), less than half the 18.2 trillion yuan recorded at the market’s 2021 peak.

The prolonged slump is intensifying financial stress among developers, many of whom are already operating with thin margins and limited access to new funding. S&P warned that if sales fall another 10 percentage points below its base-case scenario this year and next, four of the 10 Chinese developers it currently rates could face further downward pressure on their credit ratings.

That assessment does not include China Vanke, once one of the country’s largest and most financially stable developers, which last year sought to delay repayments on part of its debt. Vanke’s difficulties have been widely seen as a symbol of how deeply the crisis has spread, even among firms previously considered relatively safe.

The implications extend beyond developers. Weak property sales and falling prices are also straining local government finances, which rely heavily on land sales for revenue. Sluggish land auctions have reduced fiscal resources just as many local authorities face rising spending needs and debt-servicing pressures. Banks, meanwhile, remain exposed through mortgages, developer loans, and indirect links to the property sector, even though regulators have sought to contain systemic risks.

Despite these pressures, Beijing has so far refrained from launching a large, nationwide rescue package for real estate. Instead, policy measures have focused on targeted support, such as easing mortgage restrictions in some cities, encouraging banks to extend loan maturities, and allowing local governments or state-linked firms to buy unsold homes for conversion into affordable housing. S&P said these efforts remain piecemeal and too small to materially reduce excess supply.

At the same time, Chinese authorities have signaled a strategic shift toward advanced manufacturing and high-technology industries as new engines of growth. However, analysts question whether those sectors can scale quickly enough to compensate for the drag from property.

Last month, U.S.-based research firm Rhodium Group said China’s push into high-tech industries is not yet large enough to offset the property slump, leaving the economy increasingly reliant on exports for growth. That dependence, it warned, exposes China to rising trade tensions at a time when global demand remains uncertain.

S&P’s assessment reinforces those concerns. With housing still a key store of wealth for Chinese households, prolonged price declines risk weighing on consumer confidence and spending more broadly. That, in turn, complicates Beijing’s efforts to rebalance the economy toward domestic consumption.

Top policymakers are expected to outline economic priorities and growth targets at a key parliamentary meeting next month. Markets will be watching closely for any signal that authorities are prepared to take stronger action on property, either through larger-scale inventory purchases, fiscal support, or more aggressive measures to stabilize prices and restore confidence.

AI Could Destroy $500B in Enterprise Software Revenue

0

The warning from AlixPartners highlights a major potential shift in the enterprise software landscape.

According to analysis detailed in their 2026 Enterprise Software Technology Predictions report and related discussions, AI agents—autonomous, agentic AI systems capable of handling complex tasks, workflows, and decision-making—threaten to disrupt traditional software models significantly.

They estimate that up to $500 billion in enterprise software revenue could be at risk or “collapse” as these agents replace or subsume entire categories of tools that knowledge workers currently rely on. This isn’t just about adding AI features to existing SaaS products; it’s a fundamental restructuring.

AI agents could eliminate the need for many standalone applications by directly orchestrating data, processes, and outcomes. Traditional per-seat/subscription pricing (the SaaS backbone) faces pressure as AI boosts productivity, potentially reducing required “seats” or shifting to usage/outcome-based models.

This contributes to what’s been dubbed the “SaaSpocalypse,” with recent sharp declines in software stock values; hundreds of billions in market cap evaporation in early 2026 sessions tied to fears of AI disruption.

The firm predicts accelerated M&A potentially $600 billion in deal value for 2026, consolidation in the mid-market, and a move toward hybrid valuations that factor in AI leverage and outcomes rather than pure ARR multiples.

Experts like Michelle Miller at AlixPartners emphasize that no segment escapes unscathed, though adaptation like transitioning to AI-powered services or outcome pricing could help some thrive. This ties directly into Palantir’s recent performance and messaging.

In their Q4 2025 earnings reported early February 2026, Palantir delivered blowout results: revenue hit ~$1.41 billion up 70% YoY, beating estimates, with U.S. commercial revenue surging 137%. Adjusted profits and margins were strong, and they guided aggressively higher for 2026.

CEO Alex Karp has been vocal about this shift, arguing that AI especially large language models isn’t enough on its own—true value comes from platforms that integrate them deeply into enterprise complexity (data, operations, ontology).

He has positioned Palantir as replacing or outperforming legacy software stacks, with their AI Forward Deployed Engineers (AI FDEs) and ontology enabling rapid migrations and automations that sideline traditional tools.

In essence, Karp’s thesis aligns with the disruption narrative: AI isn’t merely augmenting enterprise software—it’s actively replacing chunks of it, favoring platforms like Palantir’s that orchestrate AI agents effectively rather than point solutions.

This contrast is stark—many legacy SaaS players face revenue compression risks, while Palantir and similar AI-native or ontology-heavy players appear to benefit from the transition, capturing outsized growth through deeper, outcome-driven deployments.

These views reflect a broader 2026 debate: AI could destroy massive value in incumbent software while redirecting spend toward more integrated, agentic systems. The $500 billion figure represents potential “at-risk” revenue rather than guaranteed disappearance—much depends on how vendors adapt, but the pressure is real and already showing in market reactions and earnings narratives.

Snowflake is betting big on AI agents as “workflow engines” that operate across functions, such as in marketing, finance, and media. For instance, in advertising, agents could automate personalization and optimization, while in financial services, they unify data for real-time insights.

The strategy includes building ecosystems where agents interact seamlessly, backed by consistent data semantics and human oversight rules. These features are designed to operationalize AI, moving beyond pilots to enterprise-scale deployments.

Snowflake emphasizes “friction-free” adoption, where AI runs natively on the platform, helping firms in regulated industries break down silos and achieve competitive advantages. A cornerstone of Snowflake’s strategy is its model-agnostic stance, avoiding lock-in to any single AI provider.

This is evident in high-profile partnerships: OpenAI: A $200 million multi-year deal announced in February 2026 integrates OpenAI’s models like GPT series into Snowflake, accessible across major clouds (AWS, Azure, GCP). This allows customers to build AI on their data without migration, enhancing enterprise-ready AI.