【crypto risk management trading platform with no code strategy builder】
In Jack Dorsey's view of the world,crypto risk management trading platform with no code strategy builder the job most at risk from the AI revolution is the middle manager.\n\nDorsey argues in a new essay , "From Hierarchy to Intelligence," published with Roelof Botha, Sequoia Capital's managing partner, an investor in Block, that his company's decision to cut approximately 4,000 of its more than 10,000 employees was not a cost reduction but a permanent restructuring to replace middle managers with AI.\n\nCorporate hierarchy, the essay argues, has always existed to solve one problem: routing information through organizations too large for any single person to oversee.\n\nManagers aggregate context from below, act as messengers from above, and maintain alignment across teams. AI can now perform those functions continuously and at scale, the authors argue, making the messenger redundant.\n\nIn place of management layers, Dorsey and Botha proposes two AI-driven "world models."\n\nOne aggregates internal data from code, decisions, workflows, and performance metrics to create a continuously updated picture of company operations, replacing the context that managers traditionally carried.\n\nThe other maps customer and merchant behavior using transaction data from Cash App and Square.\n\nThose models feed what Block calls an “intelligence layer” that composes financial products dynamically to fit market demand.\n\nIf done properly, the models absorb the coordination work that previously justified the existence of middle management.\n\nRather than building from fixed roadmaps, the essay proposes breaking Block’s business into modular capabilities, including payments, lending, card issuance and payroll.\n\nWhen the system identifies a need, the essay’s example is a merchant facing a seasonal cash flow gap, it assembles a solution from existing capabilities. When it cannot, the missing capability defines what gets built next, replacing the product roadmap with a system-generated backlog.\n\nThe organizational structure is reduced accordingly. Block plans to operate with three roles: individual contributors who build the system, directly responsible individuals who own specific outcomes on 90-day cycles, and player-coaches who remain hands-on while developing people.\n\nDorsey told Wired in early Marchthe restructuring was triggered by a capability shift he observed in December in tools including Anthropic’s Opus 4.6 and OpenAI’s Codex 5.3, which he said was now capable of operating effectively in large codebases.\n\nBut current and former Block employees told the Guardian that roughly 95% of AI-generated code changes still require human modification, and that AI tools cannot yet lead in regulated areas like banking and money transfers.
相关推荐
-
CoinDesk 20 performance update: Avalanche (AVAX) gains 4% as index moves higher
-
Why Bot Performance matters in volatile markets 976
-
How Quantitative Trading supports smarter execution 183
-
Why Bot Performance matters in volatile markets 256
-
Grayscale’s research head says tokenization will happen in waves and explains how to play it
-
How Market Analysis supports long term strategy development 753
- 最近发表
-
- Citadel-backed EDX Markets applies for U.S. trust charter to expand institutional crypto services
- Beginner guide to Strategy Backtesting 382
- Common mistakes to avoid with Mobile Trading App 499
- Key benefits of Trade Automation for modern traders 415
- Beyond T-bills: OpenEden introduces tokenized high-yield corporate bond
- Beginner guide to Trading Dashboard 428
- How Futures Trading supports long term strategy development 650
- What makes a strong solution for Multi Exchange Trading 466
- The Protocol: Quantum computing could break Bitcoin sooner, says Google
- Key benefits of Quantitative Trading for modern traders 243
- 随机阅读
-
- Citadel-backed EDX Markets applies for U.S. trust charter to expand institutional crypto services
- How Algorithmic Trading supports smarter execution 412
- How Market Analysis supports long term strategy development 513
- How Automated Crypto Trading supports long term strategy development 821
- Citadel-backed EDX Markets applies for U.S. trust charter to expand institutional crypto services
- What makes a strong solution for Algorithmic Trading 992
- Why more users are adopting Spot Trading 651
- How Multi Exchange Trading supports smarter execution 206
- Galaxy Digital's testnet suffers hack but no client funds or information were compromised
- How to evaluate a platform for Trading Dashboard 168
- Beginner guide to Strategy Optimization 794
- Advanced insights into Execution Speed 898
- Bitcoin’s crashes are shrinking, and Wall Street is starting to notice
- How Mobile Trading App improves daily trading workflows 779
- Why more users are adopting Trading Dashboard 468
- How Signal Execution supports long term strategy development 867
- OpenAI raises a record $122 billion as revenue crosses $2 billion per month
- What traders should know about Portfolio Automation 505
- Key benefits of Quantitative Trading for modern traders 643
- Why Risk Management matters in volatile markets 884
- 搜索
-