A collective research project
AI in the Workplace
Artificial intelligence is reshaping work, and it is doing it unevenly. Some jobs are being automated outright. Many more are being quietly rebuilt while keeping the same title. A few are barely touched. The hard part is knowing which is happening to yours.
Artificial Intelligence (AI) is already having an enormous impact on science, academia, business, the law, and society. Our students, regardless of their field of study, will be impacted by these technological changes.
AI Curriculum Working Group (2025), Weaving AI Readiness into the Northeastern Curriculum, Northeastern University
So this resource goes job by job. Each entry covers a single role: what the work involves, how AI is used in it today, what is changing, and what a newcomer needs to know. Every figure traces to a source someone located and read. Where the evidence contradicts itself, we say so.
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It is a fundamental law of economics: when the artificial becomes free, the authentic becomes priceless.
From the AI-generated audio podcast
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AI in the Workplace
Two synthetic hosts work through what forty-eight students found — the contradictions, the entry-level problem, and the citations that did not survive checking.
Both pieces were produced with Google NotebookLM from the written
research on this site, then reviewed before publication. The voices are
synthetic; no one you hear is a person. Treat them as a summary and the
role pages as the record — every figure there carries its source.
Browse by sector
Pick a part of the economy
Eight sectors, 40 job roles. Each sector opens onto the full write-up for every role inside it.
15 roles
Finance & Investing
Equity Research Analyst · Long/Short Equity Analyst, Hedge Fund · Portfolio Manager · +12 more
5 roles
Law & Policy
Sports Lawyer, Large Firm · Patent Prosecution Attorney · Land Use Attorney · +2 more
4 roles
Marketing & Brand
Digital Marketing Specialist · Product Marketing Manager · AI Marketing Specialist, B2B SaaS · +1 more
4 roles
Health, Science & Research
Clinical Psychologist · Regulatory Affairs Specialist, Medical Devices · Medicinal Chemist · +1 more
4 roles
Engineering & Industry
Software Engineer · Commercial Airline Pilot · Robotics Deployment Manager · +1 more
3 roles
Media & Design
Local News Reporter · UX/UI Designer · Game Developer
2 roles
Business & Operations
Demand Planning Analyst, Supply Chain · Project Manager, Financial Services
3 roles
Entrepreneurship & Go-to-Market
Startup Founder · Sales Engineer, Enterprise Financial Software · Online Lifestyle Fitness Coach
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Find a job
No roles match that search.
- Equity Research AnalystAI took the data-gathering half of the job; the judgment half, and the relationships, stayed.Researched by Arhan Batur · Sofia Davy · Nadim-Marc El Achkar Finance & Investing
- Long/Short Equity Analyst, Hedge FundAlmost all the research is about sell-side analysts — and this is not that job.Researched by Tim Lin Finance & Investing
- Portfolio ManagerThe calculation is automatable. Deciding which bet to make is not.Researched by Michelle Ni Finance & Investing
- Investment Banking AnalystRicher pitch materials, produced faster, with measurably worse forecasts.Researched by Jacob Rosenzweig Finance & Investing
- Private Equity AssociateScreening a deal fell from a day to an hour — and screening is what juniors learned on.Researched by Emilio Dibildox Finance & Investing
- Corporate Finance Analyst, Private EquityEarly days, high stakes: a misread fee moves real money to the wrong place.Researched by Karina Advani Finance & Investing
- Seed-Stage Venture Capital AnalystAI can score a pitch deck, which is exactly why decks now say less about a founder.Researched by Charles Powers Finance & Investing
- Financial AdvisorAI handles the notes and the drafts. The client relationship is the job that remains.Researched by Alvaro Diaz · Fritz Moeller · Rodrigo Osio Finance & Investing
- Wealth Management AnalystThe work is document-heavy and repetitive — the profile AI absorbs fastest.Researched by Dominic Rusu Finance & Investing
- Investment Operations AnalystNinety-one percent adopting, seven percent actually scaled. Definitions matter.Researched by Julian Bianchi Finance & Investing
- Asset-Based Lending AnalystFaster underwriting, and nobody yet knows what the AI collateral is worth.Researched by Anton Schuster Finance & Investing
- Audit Associate, Public Company AuditFirms say AI will augment auditors; the only measured job losses were junior ones.Researched by Blake Rappaport Finance & Investing
- Financial Planning and Analysis Analyst, BiotechForecasting under regulation, where most published AI numbers do not transfer.Researched by Madeleine Attar Finance & Investing
- Streaming and Digital Financial AnalystThe checkable parts shrink; the seats that remain expect judgment on day one.Researched by Rodrigo Navarro Finance & Investing
- ActuarySomeone has to be accountable for a mispriced claim, and an AI cannot be.Researched by Jayden Tom Finance & Investing
- Sports Lawyer, Large FirmContract review compresses while a new docket of AI disputes grows.Researched by Kate Lustig Law & Policy
- Patent Prosecution AttorneyPut an unfiled invention into the wrong tool and you can destroy the patent.Researched by Ava Desanti Law & Policy
- Land Use AttorneyCode-parsing automates. The hearing where a board exercises discretion does not.Researched by Duncan Keefe Law & Policy
- General Counsel, Consumer GoodsBoards are using AI far faster than they are governing it — and that gap is the job.Researched by Dylan Aufman Law & Policy
- Human Rights Lawyer, NGOAI is automating the research and generating a new category of case at once.Researched by Nandini Shah Law & Policy
- Digital Marketing SpecialistPersonalisation at scale, with bias that is easy to miss without deliberate auditing.Researched by Patrick Wilson · Sebastian Samadi Marketing & Brand
- Product Marketing ManagerAI drafts the messaging. Judging whether it reflects real buyers is the job.Researched by Aditi Gupta Marketing & Brand
- AI Marketing Specialist, B2B SaaSWorkers report big productivity gains; their firms report almost no profit impact.Researched by Matthew Suh Marketing & Brand
- Brand Strategy Manager, LuxuryIn luxury, the audience punishes visible AI — even when it is disclosed.Researched by Fiorella Cordero Marketing & Brand
- Clinical PsychologistChatbots are being used in place of clinicians, and the law has started to object.Researched by Noor Mhiuldin · Chloe Flanagan Health, Science & Research
- Regulatory Affairs Specialist, Medical DevicesDrafting automates; deciding what evidence is sufficient does not.Researched by Matthew Ortiz Health, Science & Research
- Medicinal ChemistAI proposes molecules and routes. Roughly a third of the routes do not work.Researched by Zixuan Xiao Health, Science & Research
- Neuroscience PhD StudentAn AI collaborator that runs the analysis but does not know what is already published.Researched by Madalynn Vaine Health, Science & Research
- Software EngineerOne study found AI made developers 56% faster. Another found it made them slower.Researched by Yunzhen Li · Shashank Sharma Engineering & Industry
- Commercial Airline PilotThe pace here is set by regulators, not firms — and they have said no for now.Researched by David Lukowiecki Engineering & Industry
- Robotics Deployment ManagerThe job is orchestrating fleets and judging whether to trust what the system decided.Researched by Emanuele Giuliani Engineering & Industry
- Jet Engine EngineerAI reads the inspection footage; the engineer still decides what the damage means.Researched by Ryan Zeng Engineering & Industry
- Local News ReporterNewsrooms are adopting AI. Their audiences are not asking for it.Researched by Daeshaun Cole Media & Design
- UX/UI DesignerProduction work is commoditised, so judgment and taste become the differentiator.Researched by Sara Nartayeva Media & Design
- Game DeveloperAI writes the prototype. It does not survive contact with debugging and integration.Researched by Katrina Golubchik Media & Design
- Demand Planning Analyst, Supply ChainForecasting models are standard — and the best one tested still missed by 56%.Researched by Dominique Genovesse Business & Operations
- Project Manager, Financial ServicesScheduling automates; stakeholders, conflict, and AI governance do not.Researched by Natalie Hsu Business & Operations
- Startup FounderAI made building cheap, so building stopped being what distinguishes a founder.Researched by Diego Suarez · Zaosh Kotwal Entrepreneurship & Go-to-Market
- Sales Engineer, Enterprise Financial SoftwareDomain depth is the moat, because every competitor has the same tool.Researched by Connor Velte Entrepreneurship & Go-to-Market
- Online Lifestyle Fitness CoachThe risk is not bad AI coaching. It is the client never hiring a coach.Researched by Khanh Nguyen Entrepreneurship & Go-to-Market