🔮 Introducing: AI Economy Research Fellowship｜Exponential View 招募 AI 经济研究员｜英文原文 + 中文翻译
Exponential View 于 2026 年 8 月 18 日发布首个 AI Economy Research Fellowship 招聘公告；本文完整呈现公开英文原文与中文翻译，涵盖研究方向、候选人要求、项目条款与申请方式。
原文信息
- 作者：Azeem Azhar。1
- 发布时间：2026 年 8 月 18 日 16:53（北京时间）。1
- 公开状态：官方详情页将全文公开呈现，本文按原文顺序保留英文正文、章节、问题清单、申请条件和对应中文翻译。1
English original
Exponential View is appointing its first Research Fellow. 1
We are looking for an economist who can connect frontier economic thinking to messy, real-world evidence and reach useful judgments with the foresight Exponential View is renowned for. 1
The Fellow will investigate how AI is changing economic value, work, firms and markets. The questions may include but are not limited to: 1
- How should AI companies, infrastructure and capabilities be valued from first principles? 1
- Where in the AI value chain is the economic surplus created, and who is capturing it? 1
- What is AI’s impact on wages, employment, productivity and worker bargaining power long-term? 1
- What are the microeconomic effects inside firms? 1
- What counts as transformative AI and which leading indicators would reveal the state of the transition? 1
We don’t expect the Fellow to arrive with settled answers. But we do expect the Fellow to know how to turn our questions into testable economic mechanisms, assumptions and back-of-the-envelope estimates that build towards further empirical work. 1
The position is based in London, UK. 1
About us
Exponential View is an independent research organisation founded by Azeem Azhar. We study how AI and other general-purpose technologies change economic value, institutions and the distribution of power. 1
Our AI Economy programme tracks the physical, financial and organisational build-out of AI. We research semiconductors, energy and data centres, model capabilities and economics; corporate investment and adoption; firm-level performance; labour markets; and the distribution of value across the stack. We combine original datasets, company and sector analysis, economic reasoning, and direct engagement with stakeholders to produce evidence-based analyses that stand the test of time. 1
Our work is written for people making consequential decisions in business, investment, technology and public policy. It is rigorous, empirical and explicit about uncertainty. We don’t wait for consensus, and we rarely care for it. 1
Explore our AI Economy work here: intelligence.exponentialview.co. 1
The Fellowship
This is a paid six- or twelve-month applied economics Fellowship with substantive responsibility across Exponential View’s research and publications. 1
Our proposition is as ambitious as it is simple. Inter alia, the Fellow will translate economic theory and frontier research into useful insights that might inform decision-making. They will maintain the standards of serious academic work while learning to operate at the speed of a live technological and economic transition. They will develop scenarios, measures, and leading indicators for transformative AI, connecting the work of leading economists to our own methods and models. 1
The Fellow will work closely with Azeem Azhar and EV’s research team, contribute to the core AI Economy programme, and develop one substantial research output of their own. Where the work warrants it, contributions will be publicly credited or bylined. 1
Academic projects can run for months or years. At Exponential View, we often need a good answer within hours or days. That requires tightly framed questions, intelligent use of imperfect data, visible assumptions, distinguishing between evidence and inference, and the willingness to revise or abandon a view quickly. 1
The Fellow will be augmented by as much AI as they need and is expected to actively build their AI research tools and skill set to become an even better researcher. 1
Who we are looking for
At minimum, you will have an outstanding master’s-level qualification in Economics, including an MPhil. You may be a current doctoral student in economics seeking a period of intensive applied work. 1
Relevant specialisms may include applied microeconomics, labour economics, industrial organisation, productivity and growth, innovation economics, financial economics or the economics of technological change. 1
The Fellow must demonstrate: 1
- Serious prior engagement with AI, automation, technological change or a closely related economic question. A generic interest in AI is not enough. 1
- Strong applied economics and empirical judgement. We are less interested in theory for its own sake than in the ability to use theory to structure an answerable question. 1
- Experience working directly with difficult real-world data, including knowing when it is incomplete, endogenous, inconsistently defined or simply wrong. 1
- The ability to translate frontier models and academic arguments into observables, datasets, tests and an intelligible view of the world. 1
- Comfort with ambiguity, compressed deadlines and changing priorities. 1
- The ability to write clearly for an economically literate audience without hiding behind academic language. 1
- You work well independently, can make rapid progress on your own, and identify the few decisions that genuinely require senior input. 1
- You are intellectually honest and can distinguish what is observed, estimated, inferred, and unknown; you change your mind when the evidence changes. 1
This role will fit an economist who wants to become faster, more empirical, and more effective without surrendering rigour. 1
Right to work in the UK is required. 1
Who this is not for: 1
- This is not a role for a general quantitative researcher from an unrelated discipline or for someone who wants to learn economics on the job. 1
- It is also unlikely to suit someone seeking a conventional academic postdoctoral rhythm or whose overriding objective is the next journal publication. 1
What the Fellow will gain
The Fellow will leave with: 1
- A body of applied, publicly visible work on the AI economy. 1
- Experience moving from an open-ended question to a defensible empirical judgement on a compressed timescale. 1
- Feedback on research design, analytical judgement, visual explanation and writing. 1
- One substantial, independently owned research output. 1
- Exposure to EV’s network of economists, technologists, business leaders, investors and policymakers, including relevant academic collaborations. 1
Terms
- Duration: Six or twelve months. 1
- Commitment: Full-time preferred; a substantial part-time arrangement may be possible for an exceptional candidate. 1
- Location: London, UK / hybrid, with regular in-person work. 1
- Application deadline: 6 September 2026. 1
- This is a paid Fellowship. 1
How to apply
Please submit: 1
- Your CV. 1
- A note of no more than 200 words explaining why you want this Fellowship and what you want to improve during the appointment. 1
- One or two substantial examples of empirical economic work. 1
- For collaborative work, a precise description of your own contribution. 1
- Please answer the following questions in no more than 500 words each. 1
- Choose one important claim about AI’s effect on fundamental value, wages, productivity, or market structure. What is the economic mechanism? How would you test it with real-world data, and what result would cause you to revise or reject the claim? 1
- Take one proposition from the economics of transformative AI – for example, from the work of Anton Korinek, Daron Acemoglu or another serious economist – and translate it into observable indicators over the next two years. Which existing data would you use, what is missing, and what new measure could you create? 1
Please confirm you have the right to work in the UK. Evidence will be required at a later stage. 1
Send your application to careers@exponentialview.co by 23:59 BST on 6 September 2026. 1
We will invite shortlisted candidates to a first interview. Owing to the volume of applications, we may be unable to respond to every applicant individually. 1
Following the interviews, selected candidates will complete a paid, tightly time-boxed research exercise using public or synthetic data. It will test the ability to frame an economic question, work quickly with imperfect evidence, produce a defensible analysis and communicate it clearly. It will not be used as unpaid production work. 1
Reasonable adjustments will be available throughout the application process. 1
中文翻译
Exponential View 正在招募首位研究员。1
Exponential View 正在寻找一位经济学家，把前沿经济学思考与混乱、真实世界的证据连接起来，并以 Exponential View 所擅长的前瞻性，形成有用的判断。1
研究员将研究 AI 如何改变经济价值、工作、企业和市场。问题可能包括但不限于：1
- AI 公司、基础设施和能力应该如何从基本原理出发估值？1
- AI 价值链的哪个环节创造了经济剩余，又由谁获得了这些剩余？1
- 从长期看，AI 会怎样影响工资、就业、生产率和劳动者的议价能力？1
- AI 在企业内部会产生哪些微观经济影响？1
- 什么才算变革性 AI？哪些领先指标能够揭示这场转型所处的阶段？1
我们不要求研究员带着已经确定的答案加入团队。但我们希望研究员知道，如何把这些问题转化为可检验的经济机制、假设和粗略估算，为进一步的实证研究打下基础。1
职位地点在英国伦敦。1
关于我们
Exponential View 是由 Azeem Azhar 创办的独立研究机构。我们研究 AI 和其他通用技术如何改变经济价值、制度以及权力分配。1
我们的 AI Economy 项目追踪 AI 在实体、金融和组织层面的建设进程。我们的研究覆盖半导体、能源和数据中心，模型能力与经济学，企业投资与采用，企业层面的表现，劳动力市场，以及整个技术栈中的价值分配。我们结合原创数据集、公司与行业分析、经济学推理，以及与利益相关方的直接交流，产出能够经受时间检验、以证据为基础的分析。1
我们的工作面向那些在商业、投资、技术和公共政策领域做出重要决策的人。我们的研究严谨、基于实证，并明确说明不确定性。我们不会等待共识，也很少在意共识。1
你可以在 intelligence.exponentialview.co 探索我们的 AI Economy 研究。1
研究员项目
这是一个为期六个月或十二个月的带薪应用经济学研究员项目。研究员将在 Exponential View 的研究与出版工作中承担实质性职责。1
我们的设想雄心不小，但很简单。其中包括：研究员要把经济学理论和前沿研究转化为可能帮助决策的有用洞见。研究员要在学习适应技术与经济实时转型速度的同时，维持严肃学术工作的标准。研究员还要为变革性 AI 制定情景、测量方法和领先指标，把顶尖经济学家的工作与我们自己的方法和模型连接起来。1
研究员将与 Azeem Azhar 和 EV 研究团队密切合作，为核心 AI Economy 项目做出贡献，并独立完成一项重要研究成果。在工作值得公开署名的情况下，贡献者将获得公开致谢或署名。1
学术项目可能持续数月甚至数年。在 Exponential View，我们经常需要在数小时或数天内得到一个可靠答案。这要求研究员把问题界定得足够清楚，聪明地使用不完美的数据，明确写出假设，区分证据与推断，并愿意迅速修正或放弃一个观点。1
研究员可以充分使用自己需要的 AI，并应主动搭建 AI 研究工具、提升相关技能，成为更好的研究者。1
我们正在寻找什么样的人
至少，你需要拥有出色的经济学硕士级别学历，包括 MPhil 学位。你也可以是在读经济学博士，希望经历一段高强度的应用研究。1
相关专长可以包括应用微观经济学、劳动经济学、产业组织、生产率与增长、创新经济学、金融经济学，或技术变迁经济学。1
研究员必须具备：1
- 曾认真研究过 AI、自动化、技术变迁，或密切相关的经济学问题。泛泛地对 AI 感兴趣还不够。1
- 扎实的应用经济学能力和实证判断力。我们对为了理论而理论的兴趣较低，更看重你能否用理论搭建一个可以回答的问题。1
- 直接处理困难现实数据的经验，并知道数据什么时候不完整、存在内生性、定义不一致，或者干脆就是错误的。1
- 把前沿模型和学术论证转化为可观察变量、数据集、检验方法，以及对世界清晰可懂的看法。1
- 能适应模糊性、压缩的截止期限和不断变化的优先级。1
- 能够面向具备经济学素养的读者清楚写作，不躲在学术语言后面。1
- 能够独立工作，快速推进自己的任务，并找出真正需要高级人员介入的少数决策。1
- 诚实面对知识边界，能够区分观察到的、估计的、推断的和未知的内容；证据变化时，也会改变自己的看法。1
这个职位适合希望在不放弃严谨性的前提下，变得更快、更重视实证、更有效率的经济学家。1
申请人必须拥有在英国工作的合法资格。1
以下人选不适合这个职位：1
研究员将获得什么
研究结束时，研究员将获得：1
- 一批关于 AI 经济、并且公开可见的应用研究成果。1
- 在压缩的时间尺度内，把开放式问题推进到可辩护的实证判断的经验。1
- 在研究设计、分析判断、视觉解释和写作方面得到反馈。1
- 一项由自己独立负责的重要研究成果。1
- 接触 EV 的经济学家、技术专家、商业领袖、投资人和政策制定者网络，其中包括相关的学术合作。1
条款
- 期限：六个月或十二个月。1
- 投入方式：优先考虑全职；对于特别合适的候选人，也可能提供实质性的兼职安排。1
- 地点：英国伦敦／混合办公，但需要定期到场工作。1
- 申请截止日期：2026 年 9 月 6 日。1
- 这是一个带薪研究员项目。1
如何申请
请提交：1
- 个人简历。1
- 一份不超过 200 词的说明，解释你为什么想申请这个项目，以及你希望在任期内提升什么。1
- 一到两份重要的实证经济学研究成果。1
- 如果成果由多人合作完成，请准确说明你自己的贡献。1
- 请分别用不超过 500 词回答以下问题。1
- 选择一个关于 AI 如何影响基本价值、工资、生产率或市场结构的重要主张。这个主张背后的经济机制是什么？你会如何用现实世界的数据检验它？什么结果会让你修正或放弃这个主张？1
- 从变革性 AI 的经济学中选择一个命题，例如 Anton Korinek、Daron Acemoglu 或其他严肃经济学家的研究命题，并把它转化为未来两年内可观察的指标。你会使用哪些现有数据？哪些数据缺失？你可以创造什么新指标？1
请确认你拥有在英国工作的合法资格。后续阶段需要提供证明。1
请在 2026 年 9 月 6 日英国夏令时间 23:59 前，将申请发送至 careers@exponentialview.co。1
入围候选人将受邀参加第一轮面试。由于申请数量可能较多，我们可能无法逐一回复每位申请人。1
面试之后，入选候选人将完成一次带薪、严格限定时间的研究练习，使用公开数据或合成数据。练习将测试候选人界定经济学问题、快速处理不完美证据、产出可辩护分析并清晰沟通的能力。这项练习不会被用作无偿生产性工作。1
整个申请过程中都会提供合理便利。1
References
- 1Exponential View 官方详情页
exponentialview.co
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