Exponential View 招募首位 AI 经济研究学者
🔮 Introducing: AI Economy Research Fellowship
Created by SHIHO
由SHIHO创建
Exponential View is appointing its first Research Fellow.
Exponential View正在任命其首位研究学者。
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.
我们正在寻找一位经济学家，能够将前沿经济思想与纷繁复杂的现实证据相连接，并以Exponential View著称的远见卓识做出有用的判断。
The Fellow will investigate how AI is changing economic value, work, firms and markets. The questions may include but are not limited to:
该学者将研究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：
- How should AI companies, infrastructure and capabilities be valued from first principles?
- Where in the AI value chain is the economic surplus created, and who is capturing it?
- What is AI’s impact on wages, employment, productivity and worker bargaining power long-term?
- What are the microeconomic effects inside firms?
- What counts as transformative AI and which leading indicators would reveal the state of the transition?
- 如何从第一性原理出发评估AI公司、基础设施和能力？
- AI价值链中经济盈余在哪里产生，谁在获取这些盈余？
- 长期来看，AI对工资、就业、生产力和工人议价能力有何影响？
- 企业内部会产生哪些微观经济效应？
- 什么构成变革性AI，哪些领先指标能揭示转型的状态？
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.
我们不期望学者带着现成的答案到来。但我们确实期望学者知道如何将我们的问题转化为可检验的经济机制、假设和粗略估算，为进一步的实证工作奠定基础。
The position is based in London, UK.
该职位位于英国伦敦。
About us
关于我们
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.
Exponential View是一家由Azeem Azhar创立的独立研究组织。我们研究AI和其他通用技术如何改变经济价值、制度和权力分配。
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.
我们的AI经济项目追踪AI在物理、金融和组织层面的建设。我们研究半导体、能源和数据中心、模型能力和经济学；企业投资和采用；企业层面的绩效；劳动力市场；以及整个技术栈中价值的分配。我们结合原始数据集、公司和行业分析、经济推理以及与利益相关者的直接接触，产出经得起时间考验的基于证据的分析。
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.
我们的工作面向在商业、投资、技术和公共政策领域做出重大决策的人士。我们的分析严谨、基于实证，并对不确定性明确说明。我们不等待共识，也很少在意共识。
Explore our AI Economy work here: intelligence.exponentialview.co.
在此探索我们的AI经济工作：intelligence.exponentialview.co。
The Fellowship
研究学者项目
This is a paid six- or twelve-month applied economics Fellowship with substantive responsibility across Exponential View’s research and publications.
这是一个为期六个月或十二个月的有偿应用经济学研究学者项目，在Exponential View的研究和出版物中承担实质性责任。
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.
我们的提议既雄心勃勃又简单明了。特别地，该研究员将把经济理论和前沿研究转化为可能为决策提供参考的有用见解。他们将在保持严肃学术工作标准的同时，学会在快速变化的技术和经济转型中运作。他们将为变革性AI开发情景、衡量标准和领先指标，将顶尖经济学家的研究成果与我们自己的方法和模型相连接。
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.
该研究员将与Azeem Azhar及EV研究团队紧密合作，为核心AI经济项目做出贡献，并自行开发一项重要的研究成果。在适当的情况下，贡献将公开署名或标注。
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.
学术项目可能持续数月或数年。在Exponential View，我们常常需要在几小时或几天内得到好的答案。这要求问题框架严密，智能使用不完美的数据，明确假设，区分证据与推断，并愿意迅速修正或放弃观点。
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.
该研究员将根据需要获得尽可能多的AI辅助，并期望积极构建自己的AI研究工具和技能，以成为更优秀的研究者。
Who we are looking for
我们寻找的人选
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.
至少，您需拥有经济学领域的杰出硕士水平资格，包括MPhil。您可能是经济学在读博士生，寻求一段密集应用工作的时期。
Relevant specialisms may include applied microeconomics, labour economics, industrial organisation, productivity and growth, innovation economics, financial economics or the economics of technological change.
相关专业领域可能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革经济学。
The Fellow must demonstrate:
该研究员必须展示：
- Serious prior engagement with AI, automation, technological change or a closely related economic question. A generic interest in AI is not enough.
- 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.
- Experience working directly with difficult real-world data, including knowing when it is incomplete, endogenous, inconsistently defined or simply wrong.
- The ability to translate frontier models and academic arguments into observables, datasets, tests and an intelligible view of the world.
- Comfort with ambiguity, compressed deadlines and changing priorities.
- The ability to write clearly for an economically literate audience without hiding behind academic language.
- You work well independently, can make rapid progress on your own, and identify the few decisions that genuinely require senior input.
- You are intellectually honest and can distinguish what is observed, estimated, inferred, and unknown; you change your mind when the evidence changes.
- 对AI、自动化、技术变革或密切相关经济问题的严肃先前参与。对AI的一般兴趣是不够的。
- 扎实的应用经济学和实证判断能力。我们对理论本身兴趣不大，更看重使用理论来构建可回答问题的能力。
- 直接处理困难现实数据的经验，包括知道何时数据不完整、内生性、定义不一致或完全错误。
- 将前沿模型和学术论点转化为可观察量、数据集、测试和对世界的清晰理解的能力。
- 适应模糊性、紧迫截止日期和变化优先事项的能力。
- 能够为经济素养高的读者清晰写作，而不隐藏于学术语言之后。
- 你能独立工作，自主快速推进，并能识别出少数真正需要高级意见的决策。
- 你具备学术诚实，能区分观察、估计、推断和未知，并在证据变化时改变观点。
This role will fit an economist who wants to become faster, more empirical, and more effective without surrendering rigour.
这个职位适合希望在不牺牲严谨性的前提下变得更快速、更实证、更高效的经济学家。
Right to work in the UK is required.
需具备在英国工作的权利。
Who this is not for:
此职位不适合以下人群：
- 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.
- It is also unlikely to suit someone seeking a conventional academic postdoctoral rhythm or whose overriding objective is the next journal publication.
- 这不适合来自不相关学科的普通定量研究员，或希望在工作中学习经济学的人。
- 也不太适合寻求传统学术博士后节奏，或将下一篇期刊发表作为首要目标的人。
What the Fellow will gain
研究员将获得
The Fellow will leave with:
研究员离开时将拥有：
- A body of applied, publicly visible work on the AI economy.
- Experience moving from an open-ended question to a defensible empirical judgement on a compressed timescale.
- Feedback on research design, analytical judgement, visual explanation and writing.
- One substantial, independently owned research output.
- Exposure to EV’s network of economists, technologists, business leaders, investors and policymakers, including relevant academic collaborations.
- 关于AI经济的一系列应用性、公开可见的工作成果。
- 在压缩的时间尺度上，从开放式问题到可辩护的实证判断的经验。
- 关于研究设计、分析判断、视觉解释和写作的反馈。
- 一项实质性、独立拥有的研究成果。
- 接触EV的经济学家、技术专家、商业领袖、投资者和政策制定者网络，包括相关的学术合作。
Terms
条款
- Duration: Six or twelve months
- Commitment: Full-time preferred; a substantial part-time arrangement may be possible for an exceptional candidate
- Location: London, UK / hybrid, with regular in-person work
- Application deadline: 6 September 2026
- This is a paid Fellowship.
- 时长：六个月或十二个月
- 投入：全职优先；对于特别优秀的候选人，可能考虑大量兼职安排
- 地点：英国伦敦 / 混合办公，需定期现场工作
- 申请截止日期：2026年9月6日
- 这是一项带薪研究员职位。
How to apply
如何申请
Please submit:
请提交：
- Your CV.
- A note of no more than 200 words explaining why you want this Fellowship and what you want to improve during the appointment.
- One or two substantial examples of empirical economic work.
- For collaborative work, a precise description of your own contribution.
- Please answer the following questions in no more than 500 words each:
- 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?
- 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?
- 您的简历。
- 一份不超过200字的说明，解释您为何想要此研究员职位，以及您希望在任职期间提升哪些方面。
- 一至两个实证经济工作的实质性例子。
- 对于合作工作，请精确描述您自己的贡献。
- 请回答以下问题，每个问题不超过500字：
- 选择一个关于AI对基础价值、工资、生产率或市场结构影响的重要论断。其经济机制是什么？您将如何用真实世界数据来检验它，以及什么结果会导致您修正或否定该论断？
- 从变革性AI经济学中选取一个命题——例如，来自Anton Korinek、Daron Acemoglu或其他严肃经济学家的研究——并将其转化为未来两年内可观测的指标。您会使用哪些现有数据，缺少什么，以及您能创造什么新度量？
Please confirm you have the right to work in the UK. Evidence will be required at a later stage.
请确认您有权在英国工作。后续阶段将要求提供证据。
Send your application to [email protected] by 23:59 BST on 6 September 2026.
请在2026年9月6日23:59（英国夏令时）前将您的申请发送至 [email protected]。
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.
我们将邀请入围候选人进行首轮面试。由于申请量较大，我们可能无法逐一回复每位申请人。
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