# Пов'язані статті щодо Spending

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Spending", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

After Burning Tens of Billions of Dollars in Tokens, Silicon Valley Giants Start Limiting Employee Token Usage

After burning tens of billions of dollars on AI tokens, major Silicon Valley firms are now restricting employee usage. Companies like Microsoft, Uber, and Salesforce, which heavily promoted AI for "efficiency," are facing a cost crisis. The practice of "tokenmaxxing"—pushing employees to maximize AI tool usage—led to wasteful spending on trivial tasks like checking the weather or writing birthday messages, with studies showing significant hidden costs for bug fixes and code rewrites. The core issue is a misalignment between individual productivity gains and actual business value. While employees use AI to automate tasks they dislike, such as writing reports, this often doesn't translate to increased company revenue or improved core business outcomes. For instance, AI-generated code speeds up development but also sees an 800% increase in "code churn" (code being discarded or rewritten). As a result, only 14% of CFOs report seeing a clear, measurable return on AI investments. Firms are now shifting strategies. Microsoft has revoked most internal licenses for Claude Code, while others are implementing monitoring and cost controls. New tools from companies like Harness and CloudZero aim to track AI spending and tie costs to business results. Some AI vendors, like HubSpot, are moving from token-based pricing to charging based on outcomes, such as "resolved conversations" or "leads generated." This represents a necessary correction in the AI adoption cycle. The challenge now is for companies to move beyond using AI merely to speed up old tasks and instead rethink their workflows and business models fundamentally. The future of enterprise AI depends on proving its value, not just its usage.

marsbit06/01 04:06

After Burning Tens of Billions of Dollars in Tokens, Silicon Valley Giants Start Limiting Employee Token Usage

marsbit06/01 04:06

When Tokens Cost More Than People, 'AI Narrative' Runs Into Trouble

Title: When Tokens Cost More Than People, the "AI Narrative" Hits Trouble The economic sustainability of corporate AI adoption is under scrutiny as token consumption soars while measurable business value remains elusive. Major companies like Uber and Microsoft report struggling to justify rising AI costs, with executives coining terms like "tokenmaxxing" to describe wasteful usage. Data reveals a stark picture: for every dollar spent on AI tokens, only 18 cents translates to user-facing value, with the rest consumed by bug fixes, rework, and friction. The debate splits into bullish and bearish camps. Bulls, like Goldman Sachs analysts, see current inefficiencies as growing pains, predicting a 24-fold increase in token demand by 2030 and a shift towards healthier metrics like "cost per effective action." They point to indicators of real productivity gains and argue current tech valuations are not in bubble territory. Bears, however, highlight an unsustainable model where value is heavily concentrated in semiconductor companies like Nvidia, funded by cloud giants taking on massive debt. Studies show 95% of firms investing in generative AI see zero return. A deeper concern is the circular financial structure between cloud providers (hyperscalers) and AI labs like OpenAI and Anthropic. Billions in cloud service commitments are tied to these labs, which are partly funded by the hyperscalers' own investment. This creates a loop where cloud revenue depends on labs securing continuous external funding to pay their compute bills, which in turn relies on end-corporates willing to pay ever-higher token costs. The sustainability of this cycle is now in question. While not a classic bubble—AI technology is real and delivers productivity for power users—the central issue has shifted. The focus is no longer just on technological capability but on economics: whether the savings AI generates for businesses can outpace the soaring costs and justify the valuations of labs and cloud providers. The era of equating rising token usage with successful AI transformation is over. The bill for AI has arrived, but who ultimately pays remains uncertain.

marsbit05/29 01:44

When Tokens Cost More Than People, 'AI Narrative' Runs Into Trouble

marsbit05/29 01:44

KuCoin has Announced Integration with Zypto App to Power Crypto

KuCoin has announced a strategic integration between its payment service, KuCoin Pay, and the Zypto App, a wallet and payment application. The partnership aims to enhance the real-world utility of cryptocurrencies by allowing KuCoin Pay users to access Zypto’s services, including gift cards, VISA top-ups, and bill payments. Both companies emphasized a commitment to bridging the gap between daily spending needs and crypto holdings, prioritizing collaboration over competition. Executives from Zypto and KuCoin highlighted the goal of putting "currency back into cryptocurrency" and creating a seamless connection between digital assets and everyday use. The move aligns with broader market recovery trends in the crypto space.

TheNewsCrypto02/26 12:14

KuCoin has Announced Integration with Zypto App to Power Crypto

TheNewsCrypto02/26 12:14

Crypto Payment Cards in 2025: 40k Monthly Active Users, Less Than $100 Average Spend Per User

In 2025, crypto payment cards transitioned from niche experimentation to practical adoption, showing exponential growth in deposits and spending. Monthly active users reached 40,000 by October 2025, with average spending under $100 per user, indicating use for small daily transactions rather than speculative purchases. Stablecoins, primarily USDT and USDC, dominated deposits (nearly 100%), reinforcing a debit-like, low-volatility spending model. The @Rain card series led in usage, supported by its role as infrastructure for multiple card projects. Ethereum and Polygon remained top chains for deposits, though multi-chain usage grew due to lower costs and improved routing. Key challenges include privacy risks from on-chain traceability, reliance on centralized service partners, and limited product differentiation. Looking to 2026, growth is expected to focus on economic sustainability, potential credit-based models, and profitability beyond user acquisition.

marsbit01/07 07:41

Crypto Payment Cards in 2025: 40k Monthly Active Users, Less Than $100 Average Spend Per User

marsbit01/07 07:41

Crypto Payments Hit A Turning Point With Visa Card Use Up Over 500%

Visa-backed cryptocurrency cards experienced a dramatic surge in consumer spending in 2025, with a 525% increase in net spend—growing from $14.6 million in January to $91.3 million by December. Leading this growth were cards from EtherFi and Cypher, which dominated the majority of transactions. The steady, month-over-month rise indicates growing user adoption, with cardholders increasingly using crypto balances directly for everyday purchases instead of converting to fiat. Visa has expanded its support for stablecoins and tokenized payments, aligning with this trend. While still not mainstream due to regulatory and acceptance barriers, crypto payments are transitioning from niche experiments to real-world use.

bitcoinist01/05 15:03

Crypto Payments Hit A Turning Point With Visa Card Use Up Over 500%

bitcoinist01/05 15:03

DOGE Year-End Review: Did Musk's Hundred-Day Reform Work?

DOGE Year-End Review: Did Musk's 100-Day Reform Work? The DOGE (Department of Government Efficiency) initiative, led by Elon Musk and Vivek Ramaswamy, aimed to cut bureaucratic waste, reduce regulations, and save $2 trillion to balance the federal budget. Despite ambitious goals, Musk resigned after just 130 days, and DOGE was dissolved by November—10 months into an 18-month plan. DOGE achieved a 9% reduction in federal employees (271,000 jobs cut) and claimed $21.4–25 billion in savings through contract terminations and program closures. However, total federal spending increased from $6.75–7.135 trillion in 2024 to $7.01–7.6 trillion in 2025, a 4–6% rise. Mandatory spending (e.g., Social Security, Medicare) and interest on debt—unaffected by administrative cuts—drove this growth. Independent analyses suggested actual savings were as low as $3 billion, with potential future tax losses from weakened IRS enforcement offsetting gains. Post-Musk, DOGE’s influence waned, and service disruptions emerged. The reform highlighted the fundamental mismatch between corporate efficiency models and government operations, where statutory spending and systemic inertia limit top-down restructuring. The experiment underscored that government cannot be run like a business, as efficiency must balance fairness, stability, and public trust.

marsbit12/31 00:30

DOGE Year-End Review: Did Musk's Hundred-Day Reform Work?

marsbit12/31 00:30

Dirty-minded Long Island residents outspend entire European nations on OnlyFans: new study

A new study reveals that residents of Long Island (Nassau and Suffolk counties), Brooklyn, and Queens have collectively spent nearly $52 million on OnlyFans in 2025, outspending entire European nations like Switzerland, France, Italy, and Greece on a per capita basis. With a combined population of about 7 million, the metro area is a top global spender on the adult content platform. Long Island alone, with under 3 million residents, spent over $21.5 million, ranking among the highest per capita consumers worldwide. New York City as a whole leads global cities in total spending, exceeding $87 million.

nypost12/08 03:35

Dirty-minded Long Island residents outspend entire European nations on OnlyFans: new study

nypost12/08 03:35

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