Site language
Ru En
Социальные сети

forklog.media The end of the intellect monopoly: how algorithms are displacing the cognitive elite

In 1955 the Joint Economic Committee of the US Congress published a report on the economic consequences of automation. Analysts warned that new technologies threatened workers unable to adapt to a changing labour market. Seventy years on, the warning rings true again. The industrial era automated manual work and squeezed factory hands. Generative artificial intelligence is reshaping the post-industrial economy. Now highly skilled specialists and knowledge professionals—once thought shielded from automation—are in the firing line. Drawing on a Tufts University study and corporate trends, we assessed the scale of the shift. “Wired belts” Prestigious diplomas and jobs in innovation clusters no longer guarantee career or financial stability. Many specialists in STEM, applied mathematics, law and the humanities are at risk. Key risk factors are tight coupling to digital technologies, standardised workflows and information-heavy tasks. Researchers at MIT estimate that in the near future AI is capable of displacing 11.7% of workers in the US labour market. In pay terms, that equates to $1.2trn across finance, health care and professional services. This is a sizeable chunk of household income and of municipal tax receipts. Automation could trigger a large-scale reallocation of global capital. Cutting-edge intellectual hubs that once generated most added value are rapidly turning into so-called “wired belts” (Wired Belts). There is a risk that innovation regions will become the new depressed zones—marked by structural unemployment, weaker consumer demand and prolonged stagnation. Occupational vulnerability to AI Analysts at Tufts University’s Digital Planet distinguish two notions: “exposure” and “vulnerability”. Exposure is the technical ability of LLMs to perform tasks within a given occupation. An assessment of how far an occupation’s tasks overlap with the capabilities of today’s AI models. Maximum is 100 points. Source: Tufts University Digital Planet — AI Jobs Risk Index. Vulnerability is the real economic risk that a human will be replaced by an algorithm. It factors in the cost of deployment (ROI), available infrastructure, regulatory barriers and firms’ readiness to rewire processes. Indices such as the American AI Jobs Risk Index rest on three metrics: Task-Based score — the ability of large language models to cut task time by at least 50% without loss of quality; Suitability for Machine Learning — the applicability of machine-learning methods to business processes; Advances in AI — the pace of progress in adjacent fields. The data undercut the belief that complex, creative or intellectual work is protected from automation. For modern neural networks built on the Transformer architecture, there are no sacred barriers such as human intuition, abstract logic or creativity. Labour-market statistics record a persistent pattern: a 1% automation of tasks in a sector is followed by a 0.75% reduction in jobs. Pressure is greatest on specialists whose work involves generating and processing digital content. The most vulnerable: writers and copywriters (57.4%) — mass text generation leads to platform monopolisation and falling incomes for freelancers; software developers (55.2%) — demand for juniors is declining and the outsourcing market is narrowing as boilerplate code and refactoring are automated; web-interface designers (54.6%) — displaced by no-code tools used directly by managers. Risk of job displacement (%). Source: Tufts University Digital Planet — AI Jobs Risk Index. Applied mathematicians and sociologists are also in the danger zone, as statistical modelling and semantic analysis of big data absorb their tasks. The productivity trap: from augmentation to substitution In expert circles and in Silicon Valley’s PR, a soothing line prevails: AI is augmentation—tools that extend human abilities. Algorithms will complement people, freeing them from cognitive drudgery for strategic and creative work. Corporate practice suggests otherwise. In most cases the line is classic AI-washing—an attempt to mask structural headcount cuts as a concern for innovation and productivity. If generative AI halves the time needed for a task, staff are unlikely to gain leisure. In a market economy, freed capacity is either redeployed to new tasks or becomes a rationale for layoffs. The Block case: the market favours substitution A clear example of the era of “cognitive automation” is Block’s restructuring under Jack Dorsey. In February 2026 the company announced nearly 4,000 job cuts. Headcount fell almost by half—from more than 10,000 to under 6,000. The stated aim was a leaner, flatter structure with an emphasis on AI. Markets moved quickly: by the end of the same day’s trading Block’s shares rose by 20%. Investors reward firms for replacing human capital with algorithms—Block’s stock continues to climb, and the fintech’s market value has topped $40bn. Source: Google Finance. SaaSpocalypse and the return of Taylorism Macro research shows an approaching tipping point for 4.9m highly skilled US workers. In affected segments, the share potentially replaceable could rise from today’s 10% to 40% within two years. In tech this is already dubbed SaaSpocalypse—a term for the rapid devaluation of traditional software-development models. The arrival of autonomous software agents has erased about $285bn in market capitalisation from legacy software firms. From Bain and Deloitte reports on AI agents’ future to the reaction of sector ETFs and JPMorgan. Source: Taskade. For decades these models rested on reselling routine intellectual labour by large developer teams. When code is generated by machines at near-zero marginal cost, such models lose their edge. Taylorism for white-collar workers Big corporations are reviving the principles of Taylorism for office staff. Tech giants are shifting from recommending to mandating AI use. Amazon Web Services introduced digital dashboards to track how often staff use AI. Google and Microsoft have folded this metric into performance reviews. An engineer’s or manager’s refusal to use AI tools is treated as professional inefficiency. Those who designed this technological shift have been hit hardest. Output of complex content and software is soaring, yet its market price is trending towards zero—steadily undermining middle-class incomes. The geography of risk and the “ghost GDP” paradox Adaptation to technology is already reshaping economic geography. The greatest risks sit in leading tech centres with historically high concentrations of well-paid cognitive jobs. Analysts have built the Iceberg Index—a digital twin of the US labour market modelling employment for 151m workers, each treated as an independent agent. It shows how neural networks reconfigure task structures long before changes appear in unemployment data. Spatial modelling yields an unexpected result. San Jose, the heart of Silicon Valley, tops the anti-ranking—with 9.9% of jobs at risk of displacement. Small university towns are especially vulnerable, their economies built around serving knowledge workers. The loss of even 7–8% of jobs there threatens reduced consumer demand and falling property markets. US regions most exposed to “cognitive automation”. Source: Tufts University Digital Planet — AI Jobs Risk Index. At the other end are regions historically dominated by manual labour, where AI substitution risk is statistically minimal. Ironically, areas long deprived of high-paying jobs may suffer least from their disappearance. This produces what analysts call “ghost GDP” (Ghost GDP). Headline GDP keeps rising on corporate productivity, but less of it reaches households: money pools in corporate profits rather than circulating in local communities. The militarisation of AI In the corporate sector, AI roll-outs often serve as a pretext for job cuts. In the military the logic differs: AI is a tool to boost capability, not merely to trim costs. Integrating AI into intelligence and defence is declared a strategic priority. In December the US military launched the GenAI.mil platform to apply Google’s Gemini for Government to national security. The initiative sits within the Trump administration’s plan, unveiled in July: federal agencies must accelerate the adoption of advanced AI systems. The US Army has initiated a retraining drive—introduced specialty 49B. AI officers will manage high-tech systems, speed decision cycles and work with autonomous platforms. Unlike private business, the army is not laying people off but investing in retraining. Strategies for the transition Classic trade unions, unemployment insurance and other social institutions were built for the industrial age. Can they cope with large-scale displacement of functions and rungs of employment? Researchers at Tufts University argue that fundamentally new mechanisms are needed: wage insurance — the state compensates the income gap for a specialist whom algorithms have pushed into a lower-skilled role; corporate transparency — public companies should regularly disclose how AI affects headcount; investors and regulators must see the balance between productivity gains and job cuts; an “augmentation-first” model — corporate deployment of neural technologies is tied to mandatory funding for staff retraining; in Germany and France there are already state subsidies for reskilling workers whose tasks are automated; “stack qualifications” — four-year degrees give way to short micro-modules refreshed every few months; emphasis shifts to meta-skills: systems thinking, ethical arbitration and empathy. What next The mass diffusion of generative AI has outgrown the frame of corporate efficiency. It is a structural shift of global scale that ends humanity’s centuries-long monopoly on complex mental labour. The formation of a new digital “rust belt” is becoming a painful socio-economic problem. The window for soft, preventive adaptation has almost shut. Digital transformation is spreading far faster than legislation and education can adjust. Future stability will not hinge on trying to slow adoption. But productivity gains and technological progress will lose their humanist purpose if the price is the destruction of the global middle class and the conversion of innovation hubs into zones of chronic decline.

forklog.media Justin Sun Sues World Liberty Financial

The founder of TRON, Justin Sun, has filed a lawsuit against the cryptocurrency project World Liberty Financial (WLF), which is linked to the family of former U.S. President Donald Trump. The lawsuit arises from the blocking of his WLFI tokens and the threat of their burning. Today, I filed a lawsuit in California federal court against World Liberty Financial to protect my legal rights as a holder of $WLFI tokens. I have always been—and remain—an ardent supporter of President Trump and his Administration’s efforts to make America crypto friendly.…— H.E. Justin Sun 👨‍🚀 🌞 (@justinsuntron) April 22, 2026 The lawsuit was filed in a California federal court. According to Sun, the project's team deprived him of his rights as an asset holder and his ability to participate in governance without valid reasons. "I tried to resolve the situation amicably, but the team refused to unfreeze my tokens. I had no choice but to go to court," the entrepreneur stated. Previously, Sun criticized WLF for its lack of transparency. He pointed out that 76% of the votes in the project are controlled by just 10 wallets. He was also outraged by a new governance proposal from April 15, which entails a two-year lock-up of assets for early investors and the burning of 10% of advisor tokens. Those who do not accept the new terms face an indefinite freeze of their funds. The World Liberty Financial team called the allegations unfounded. Does anyone still believe @justinsuntron ?Justin’s favorite move is playing the victim while making baseless allegations to cover up his own misconduct.Same playbook, different target. WLFI isn't the first.We have the contracts. We have the evidence. We have the truth.See…— WLFI (@worldlibertyfi) April 12, 2026 "We have the evidence and contracts. See you in court," project representatives responded on X. Despite the legal battle, Sun emphasized that he continues to support Trump's policies. In his view, the actions of certain WLF employees "contradict the values of the elected U.S. President." Sun is among the largest holders of the meme coin TRUMP. According to CoinCarp, the distribution of this asset is highly centralized, with over 91% of the supply concentrated in 10 addresses. Source: CoinCarp. Back in November 2024, Sun purchased 2 billion WLFI worth $30 million, becoming the project's largest investor. In May 2025, Jonathan Lopez filed a lawsuit against WLF's Head of Data and Strategy, Chase Herro, accusing him of fraud.

forklog.media Meta Gathers Employee Data for AI Training

Meta is installing new software on its employees' computers in the United States to track mouse movements, clicks, and keystrokes. The collected data will be used to train AI models, reports Reuters, citing internal documents. The project is part of a broader programme to develop AI agents capable of independently performing work tasks. The tool, named the Model Capability Initiative (MCI), operates in work-related applications and websites. It is also configured to periodically take screenshots. The initiative aims to improve models in areas where they perform poorly, such as selecting from dropdown menus and using keyboard shortcuts. "This is where all Meta employees can help our models improve simply by doing their everyday work," the documents state. Meta's Chief Technology Officer Andrew Bosworth mentioned in a separate memo that the company will enhance the collection of internal data as part of the AI for Work initiative. "We aim for agents to do the work while you guide and check them, and help them improve," added the top executive. Meta spokesperson Andy Stone assured that data collected via MCI will not be used for performance evaluation or any purposes other than model training. Security measures are also in place to protect confidential content. Automation and Unemployment AI tools enable the automation of some tasks and reduce personnel costs, a strategy some companies are adopting. Meta plans to lay off 10% of its workforce starting May 20. Additional significant cuts are being considered by the end of the year. Amazon has terminated contracts with 30,000 employees over the past few months. In February, Block reduced nearly half its staff. Meta encourages the use of AI agents for programming and other tasks, even if it slows down work in the short term. Last month, the company formed the Applied AI engineering team. Its task is to enhance the programming capabilities of neural networks and use them to create agents. These will eventually be used for the development, testing, and release of future products and infrastructure. In early April, Meta began transferring "strong" programmers to Applied AI. Legality of the Initiative Yale University law professor Ifeoma Ajunwa noted that recording computer actions and screenshots has historically been used by companies to detect employee violations. The shift to recording keystrokes takes data collection to a new level. Workers are subjected to a degree of real-time surveillance previously experienced only by couriers and those in the gig economy. "There are no federal restrictions on employee surveillance in the United States," said Ajunwa. York University law professor in Toronto Valerio De Stefano emphasized that European legislation would likely prohibit such monitoring. In April, Meta introduced the AI model Muse Spark, developed by the new Meta Superintelligence Labs research team.

forklog.media Kalshi and Polymarket to Launch Perpetual Futures

Prediction platforms Kalshi and Polymarket have announced the launch of perpetual futures on cryptocurrencies. These new instruments will allow users to trade with leverage. According to The Information, Kalshi will introduce the product in the coming weeks. Initially, users will be offered contracts on Bitcoin and other digital assets, with plans to later expand the range to include commodities. The platform will accept US dollars as collateral and plans to implement stablecoins in the second quarter. Last month, Kalshi obtained a license for margin trading in the US, reports The Information. Polymarket confirmed the launch of a similar service on its social media. The company released a video showcasing the interface for futures on crypto assets, stocks, and commodities. We price the future.Now you can lever it.Perps are coming to Polymarket.Sign up for early access 👇 pic.twitter.com/j3PRHhxv8N— Polymarket (@Polymarket) April 21, 2026 The platform has opened a waiting list—the tool will be available on the international version of the exchange, which operates outside US jurisdiction. Perpetual futures do not have an expiration date and are popular in the crypto industry. CFTC Chairman Michael Selig previously urged officials to quickly establish clear rules for prediction markets.  In April, Bernstein analysts suggested that by 2030, the total turnover of prediction markets could reach $1 trillion. 

news.bitcoin.com Tether Mints 2 Billion USDT on Ethereum in Three Days, Adding Fresh Supply to the Stablecoin Market

Tether minted 2 billion USDT on the Ethereum network over three days, executing the issuance across multiple onchain batches from its treasury address. The minting adds to a supply base now near $190 billion. Key Takeaways: Tether minted 2 billion USDT on Ethereum in three days, with total USDT supply now near $190 billion. Large […]

blockonomi.com Cardano, BNB and Pepeto: Comparing Market Value Shows Presales Still Crush Top 10 Coins

Comparing market value Cardano BNB Pepeto after Hoskinson’s April 20 critique of Ripple’s tokenomics and BNB Chain’s $1.02 billion quarterly burn tells a brutal story for large caps. ADA sits at $0.247 and BNB holds $630 but neither can match the returns a presale at six decimal zeros still offers. BNB holders know the pattern. [...] The post Cardano, BNB and Pepeto: Comparing Market Value Shows Presales Still Crush Top 10 Coins appeared first on Blockonomi.

bitcoinist.com Forget Bitcoin, DeFi Is Bleeding And The Numbers Are Staggering

The Bitcoin price continues to struggle despite the recent recovery, but the real losses are being recorded elsewhere. The decentralized finance (DeFi) sector was the main focus of the 2021-2022 bull market, with the emergence of new coins. However, the bullishness surrounding the entire sector has been eroded over the years, and the effects are […]

news.bitcoin.com Greek Firm Warns of Bitcoin Fraud as Vessels Face Military Fire in the Strait of Hormuz

The Greek maritime risk management firm MARISKS has issued an urgent warning regarding a cryptocurrency scam targeting shipping companies stranded in the Strait of Hormuz. Key Takeaways: MARISKS reports unknown actors are extorting shipping firms for bitcoin and USDT to bypass the blockade. At least one tanker was hit by Iranian gunfire on April 18 […]

cryptobriefing.com Daniel Jeremiah: Philadelphia 76ers’ young stars promise a bright future, concerns about Jalen Brunson’s leadership, and the impact of Knicks’ coaching decisions | Pardon My Take

Young talent in the Philadelphia 76ers could be the key to their future playoff success. The post Daniel Jeremiah: Philadelphia 76ers’ young stars promise a bright future, concerns about Jalen Brunson’s leadership, and the impact of Knicks’ coaching decisions | Pardon My Take appeared first on Crypto Briefing.

cryptobriefing.com Daniel Yergin: Geopolitical tensions are reshaping global energy markets, the closure of the Strait of Hormuz marks a pivotal moment, and energy security is shifting from oil to electricity | Odd Lots

Geopolitical tensions and the Strait of Hormuz closure are reshaping global energy security and market dynamics. The post Daniel Yergin: Geopolitical tensions are reshaping global energy markets, the closure of the Strait of Hormuz marks a pivotal moment, and energy security is shifting from oil to electricity | Odd Lots appeared first on Crypto Briefing.

cryptobriefing.com Michael Howell: Market turbulence is approaching but not here yet, media narratives on recession are misleading, and understanding liquidity cycles is key for investors | Forward Guidance

Market turbulence looms as liquidity cycles, not recession fears, shape the future of risk assets. The post Michael Howell: Market turbulence is approaching but not here yet, media narratives on recession are misleading, and understanding liquidity cycles is key for investors | Forward Guidance appeared first on Crypto Briefing.

blockonomi.com Bitcoin Price Target Set at $143,000 as Tiger Research Q2 Report Projects 2x Upside

TLDR: Tiger Research sets Bitcoin’s 12-month target at $143,000 using a neutral TVM base of $132,500. Upside from current BTC levels widened to 103% in Q2 2026, up from 93% recorded in Q1. Global M2 hit $134.4T, but 60% came from China, limiting liquidity access to Bitcoin markets. Bitcoin L2 TVL dropped 74% year-to-date, prompting [...] The post Bitcoin Price Target Set at $143,000 as Tiger Research Q2 Report Projects 2x Upside appeared first on Blockonomi.

blockonomi.com Can Dogecoin Break $0.1018? On-Chain Signals and Whale Buying Build the Case

TLDR: Dogecoin recorded nearly $800M in transaction volume on April 16, one of its highest single-day spikes this year. Whale wallets accumulated over $330M in DOGE over the past week, pointing to a firm price floor forming during consolidation. The $0.1018 resistance level on the 4-hour chart has rejected five consecutive breakout attempts, keeping DOGE [...] The post Can Dogecoin Break $0.1018? On-Chain Signals and Whale Buying Build the Case appeared first on Blockonomi.

news.bitcoin.com Tron Founder Justin Sun Files Federal Lawsuit Against World Liberty Financial Over Frozen Tokens

Tron founder Justin Sun filed a lawsuit in a California federal court against World Liberty Financial, the Trump-backed decentralized finance ( DeFi) project, alleging his $75 million WLFI token position was frozen without disclosure. Key Takeaways: Justin Sun filed a California federal lawsuit against WLFI on April 22 over $75 million in frozen tokens. Sun […]

blockonomi.com Justin Sun Files Federal Lawsuit Against World Liberty Financial Over Frozen Tokens and Stripped Voting Rights

TLDR: Justin Sun filed a federal lawsuit in California against World Liberty Financial over frozen tokens. Sun claims the WLFI team stripped his voting rights and threatened to permanently burn his holdings. A new WLFI governance proposal could lock tokens indefinitely for holders who reject its terms. Sun’s frozen tokens bar him from voting on [...] The post Justin Sun Files Federal Lawsuit Against World Liberty Financial Over Frozen Tokens and Stripped Voting Rights appeared first on Blockonomi.

forklog.media OpenAI Unveils ‘Thinking’ Image Generator

OpenAI has launched the 'thinking' image generator ChatGPT Images 2.0 — a "cutting-edge model capable of tackling complex visual tasks and creating precise, ready-to-use works." Introducing ChatGPT Images 2.0A state-of-the-art image model that can take on complex visual tasks and produce precise, immediately usable visuals, with sharper editing, richer layouts, and thinking-level intelligence.Video made with ChatGPT Images pic.twitter.com/3aWfXakrcR— OpenAI (@OpenAI) April 21, 2026 The company highlighted a "qualitative leap" in following instructions, precise placement and proportion of objects, as well as in visualizing dense text. The model confidently operates in multiple languages and autonomously fills in gaps in requests, relying on visual and general context. As a result, users achieve the desired outcome with fewer clarifications. Precision and Control ChatGPT Images 2.0 handles complex concepts and accurately brings them to life visually. The model follows instructions, retains specified details, and displays fine elements with a resolution of up to 2K. Greater Precision and ControlChatGPT Images 2.0 can conceptualize more sophisticated images, and then actually bring that vision to life effectively. It’s able to follow instructions, preserve requested details, and render the fine-grained elements that often break image… pic.twitter.com/n29165pV9Q— OpenAI (@OpenAI) April 21, 2026 Working with Styles ChatGPT Images 2.0 more accurately conveys the distinctive features of photographs, cinematic frames, pixel art, manga, and other visual styles. LLM ensures a high degree of consistency in textures, lighting, composition, and fine details.  This level of precision can be beneficial in creating game prototypes, developing storyboards, preparing marketing materials, and creating works in a specific media format or genre. Capable of Thinking ChatGPT Images 2.0 is OpenAI's first image model capable of reasoning before generation. In conjunction with ChatGPT, the model can search for information online in real-time, create multiple variations from a single prompt, verify results, and generate functional QR codes. "This allows the model to take on much of the heavy lifting between idea and image, especially when accuracy, information relevance, consistency, and visual integrity are paramount," OpenAI claims. The model supports aspect ratios from 3:1 in width to 1:3 in height. It is available to ChatGPT and Codex users. The Images with thinking feature is included in the ChatGPT Plus, Pro, and Business plans. In April, OpenAI granted limited access to its new AI model GPT-5.4-Cyber to select users.

news.bitcoin.com Bitcoin Surges Past $78,000 as Trump Extends US-Iran Ceasefire

Bitcoin surged past $78,000 (peaking at $78,446), effectively erasing all losses since April 20 and reclaiming a $1.56 trillion market cap. The rally followed President Trump’s indefinite extension of the Iran ceasefire. Key Takeaways: Bitcoin surged past $78,000 on April 22, 2026, after Trump extended the U.S.-Iran ceasefire indefinitely. The rally triggered $320 million in […]

bitcoinist.com No Stablecoin Mention: Bank Of Korea’s New Governor Signals CBDC Push

The newly appointed Governor of the Bank of Korea (BOK) has delivered his first policy address in office, highlighting central bank digital currencies (CBDCs) and bank-issued deposit tokens while skipping any mention of stablecoins, despite South Korea’s efforts to develop a related framework and establish a local market. Related Reading: Coinbase Launches Crypto-Backed USDC Loans […]

blockmanity.com How Blockchain is Transforming Smart City Management in the APAC Region

Introduction to in Urban Futures As cities grow bigger and faster, leaders face big challenges. Traffic jams, pollution, high energy use, and too much data create problems. Smart cities use tech like IoT sensors, AI, and big data to fix […] The post How Blockchain is Transforming Smart City Management in the APAC Region appeared first on Blockmanity.

news.bitcoin.com FTX Sold Cursor Stake for $200K. SpaceX Now Has a $60 Billion Option to Buy It

FTX’s bankruptcy estate sold Alameda Research’s early stake in Anysphere, the startup behind AI code editor Cursor, for $200,000 in 2023. SpaceX announced a $60 billion option to acquire the same company on April 21. Key Takeaways: FTX’s estate sold Alameda’s Anysphere stake for $200K in 2023; it is now worth an estimated $500 million. […]