{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"fa2211c7-60b5-424b-a841-a97c7196aed1","title":"数据资本时代","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787508694313","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"fa2211c7-60b5-424b-a841-a97c7196aed1","id":"fa2211c7-60b5-424b-a841-a97c7196aed1","uuid":"fa2211c7-60b5-424b-a841-a97c7196aed1","title":"数据资本时代","normalized_title":"数据资本时代","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787508694313","isbns":["9787508694313","9783642038211"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":278,"navigation_url":"https://workshop.closeclaw.top/ai/book/fa2211c7-60b5-424b-a841-a97c7196aed1","title_url":"https://workshop.closeclaw.top/ai/title/%E6%95%B0%E6%8D%AE%E8%B5%84%E6%9C%AC%E6%97%B6%E4%BB%A3","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/fa2211c7-60b5-424b-a841-a97c7196aed1/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/fa2211c7-60b5-424b-a841-a97c7196aed1/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/fa2211c7-60b5-424b-a841-a97c7196aed1","page_url":"https://workshop.closeclaw.top/api/ai/books/fa2211c7-60b5-424b-a841-a97c7196aed1/page","search_url":"https://workshop.closeclaw.top/api/ai/books/fa2211c7-60b5-424b-a841-a97c7196aed1/search"},"page":{"printed_page":201,"pdf_page":221,"physical_index":221,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"a9de6b233c8912e72a61bf3df73c3b388531377b40d151c3f8225de06b3193b2"},"chapter":"第9章","content":"让数据时代的高利润公司为那些因此承受巨大损失的人买单；确保市场保持竞争活力，让整个社会从数据中获得利益；让人类劳动力成本比机器更便宜。这三个政策措施将可以确保所有人都可以从数据红利中获益。我们坚信，这些行动可以帮助我们的社会，应对数据驱动的自动化所带来的变革。\n\n超越薪酬\n\n以上的探究方式基于这样一种信念，即市场竞争是社会健康和繁荣的关键与基础。这与高科技领域的企业家和投资人彼得·蒂尔等的观点形成鲜明对比。蒂尔在发表于《华尔街日报》上的文章中写道：“竞争只属于失败者”，“你如果想创造和获取持久价值，就寻求建立垄断吧”。从一个充满激情的垄断主义者的角度来看，蒂尔的说法不无道理。但是，从评估海量数据市场的基本经济原理及其所带来的结果的角度来讲，蒂尔是完全错误的。蒂尔的成功秘籍可能会为少数公司带来天文数字般的利润，但是，创新放缓与效率低下，将会给消费者、工人和投资者带来惨重的损失。这种做法可能与特朗普政府的政治言论、保护主义、支持企业且削弱市场的愿望一致，但是它从根本上误判了大数据时代的意义：第一，大数据时代摆脱了金钱和资本的束缚；第二，大数据时代通过数据的丰富性来提升现实的丰富性；第三，大数据时代更加欢迎市场而不是公司；第四，大数据时代提供了提升人类合作能力的特殊机会。\n\n第9章工作权益与分配正义\n\n201","previous_page":200,"next_page":202}