15 Industries and Jobs Impacted By Artificial Intelligence In 2023

We go by department to show you how your job may be impacted by AI

Using departments in large companies or small businesses that have 50 employees, we imagine how these sectors may be disrupted and how you can prepare. You can easily extrapolate from our structure of 50 how this might play out in your company.

While we can't predict what will happen, there is a clear theme in the elimination of jobs that rely on analysis, review and/or administration of any type. Roles that tend to be safe or ripe for restructuring are more senior and managerial and often require higher level strategy and creative.

An interesting element is the addition of an IT person to each firm/department. The tech needs of these departments and small businesses will require more attention than one or two people that handle servers, software licenses, security et al for an entire org. These IT folks will be specialized and in charge of making sure the latest developments are integrated into the team's workflow. This role will be a key hire requiring a person that understands the strategic and tactical need of the department/business.

Industries and Jobs Impacted By Artificial Intelligence

Pick Your Department/Industry:

Legal or Law Firm

1. Legal Research (6 roles eliminated): AI can automate the process of legal research, searching through massive legal databases and case law much more efficiently than humans, reducing the need for paralegals and junior associates.

2. Contract Review (5 roles eliminated): AI can automate the process of contract review, identifying potential issues and standard clauses, reducing the need for junior roles.

3. Document Drafting (4 roles eliminated): AI can help automate the drafting of standard legal documents, reducing the need for some legal secretarial roles.

4. Case Management (2 roles restructured): While AI can assist in managing timelines and documentation for cases, human oversight is still necessary for strategic case management.

5. Senior Lawyers (No change): Senior roles that involve strategic decision making, court appearances, and client relationships would remain crucial and largely untouched by AI.

6. IT and Support (1 role added): While some IT support roles can be automated, the firm would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Copywriting

1. AI Content Generators (15 roles eliminated): Advanced AI content generators can now produce large volumes of content quickly and accurately. This means that entry-level copywriting roles, which often involve generating large amounts of simple content, might be the first to go. In our hypothetical department, this might result in a downsizing of approximately 15 roles.

2. AI Proofreaders and Editors (10 roles eliminated): AI can also perform proofreading and basic editing tasks. It can correct grammar, punctuation, and spelling errors, and even improve sentence structure and word choice. This could eliminate another 10 roles in our department.

3. AI Data Analysts (5 roles eliminated): AI can analyze the performance of written content, determining which pieces are most effective and why. This could eliminate the need for several data analysis roles within the department.

4. AI Strategists (5 roles restructured): While AI can assist with developing content strategy by analyzing trends and predicting what content will perform well, this area still requires a human touch. Instead of eliminating these roles, they would be restructured. The AI strategists would supervise and guide the AI systems, ensuring that they align with the company's overall marketing strategy.

5. Creative Copywriters (5 roles restructured): Creative copywriting, especially for high-level campaigns, still benefits from a human touch. These roles would likely evolve rather than disappear. Creative copywriters could work alongside AI, using it as a tool to generate ideas and draft content, which they would then refine and perfect.

6. Copywriting Managers (10 roles retained): Management roles would remain crucial in overseeing the department's operations, ensuring the quality of the AI-generated content, and making strategic decisions. These roles could also evolve to include more focus on training and guiding team members in using AI tools effectively.

Accounting

1. Data Entry (7 roles eliminated): AI can automate the process of data entry, reducing the need for manual entry roles.

2. Invoice Processing (5 roles eliminated): AI can automate the process of invoice processing, from matching purchase orders to payments, reducing the need for accounts payable/receivable roles.

3. Financial Reporting (3 roles eliminated): AI can help generate financial reports, reducing the need for roles dedicated to this task.

4. Tax Filing (2 roles eliminated): AI can automate certain aspects of tax preparation, reducing the need for certain roles, especially during tax season.

5. Auditing (2 roles restructured): AI can analyze large volumes of financial data for audit purposes, but human auditors are still necessary for interpretation and to provide a final assessment.

6. Financial Analysis (No significant change): While AI can provide data, human roles are crucial in drawing insights, providing strategic advice, and making financial decisions.

7. Accounting Management (No change): Roles that involve strategy, team management, and high-level decision making would likely remain crucial and largely untouched by AI.

8. IT and Support (1 role added): The department would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Private Equity

1. Deal Sourcing (3 roles eliminated): AI can automate the process of deal sourcing, identifying potential investment opportunities through data mining and predictive analytics, reducing the need for certain roles.

2. Initial Screening (2 roles eliminated): AI can help with initial due diligence processes, analyzing financials and market data to assess the viability of potential deals, reducing the need for some analyst roles.

3. Financial Modeling (2 roles eliminated): AI can automate the construction and updating of complex financial models, reducing the need for some roles focused on this task.

4. Post-acquisition Management (No significant change): While AI can provide data, human roles are crucial in overseeing portfolio companies, making strategic decisions, and driving value creation.

5. Fundraising and Investor Relations (No change): Roles that involve fundraising, maintaining investor relationships, and strategic decision making would likely remain crucial and largely untouched by AI.

6. Senior Management (No change): The strategic leadership and decision-making roles, which require years of experience and industry understanding, would remain crucial and largely untouched by AI.

7. IT and Support (1 role added): The firm would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Marketing

1. Market Research (4 roles eliminated): AI can automate the process of collecting and analyzing market data, reducing the need for certain roles.

2. Customer Segmentation (2 roles eliminated): AI can automate the process of customer segmentation, identifying patterns and trends to create detailed customer profiles.

3. Content Creation (2 roles eliminated): AI can generate simple content like social media posts, blog articles, or product descriptions, reducing the need for some copywriters.

4. Email Marketing (1 role eliminated): AI can automate the process of email marketing, from segmentation to personalized content creation and analytics.

5. Advertising & Promotions (2 roles restructured): While AI can automate ad placement and optimize promotional campaigns, human oversight and creative input remain necessary.

6. Brand & Product Management (No significant change): While AI can provide data and insights, roles focused on defining brand strategy, launching products, and managing product portfolios would remain crucial.

7. Marketing Strategy & Management (No change): Roles that involve strategy, team management, and high-level decision making would likely remain crucial and largely untouched by AI.

8. IT and Support (1 role added): The team would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Mobile Phone Company

1. Customer Support (15 roles eliminated): AI chatbots and virtual assistants can handle many customer inquiries, reducing the need for human customer service representatives.

2. Network Monitoring (10 roles eliminated): AI can monitor network performance and identify issues, reducing the need for human network operators.

3. Sales (5 roles restructured): While AI can automate some sales tasks, human salespeople are still needed for more complex deals and customer relations.

4. Management and Strategy (20 roles retained): Senior management and strategic roles would remain crucial.

Post-Production

1. Video Editing (10 roles eliminated): AI can automate some aspects of video editing, such as syncing audio and video, color correction, and basic cuts.

2. Sound Editing (5 roles eliminated): AI can also perform tasks like noise reduction and audio enhancement.

3. Special Effects (5 roles restructured): While AI can assist with some special effects, human creativity and oversight are still essential.

4. Editors and Directors (10 roles retained): Senior roles that oversee the creative process and make strategic decisions would remain crucial.

5. Client Relations and Project Management (20 roles retained): Roles involving client communication, project management, and creative decision-making would remain largely unaffected.

Insurance

1. Actuarial Analysis (4 roles eliminated): AI can automate the process of collecting and analyzing actuarial data, reducing the need for actuaries.

2. Underwriting (6 roles eliminated): Automated underwriting systems can handle the bulk of risk assessment and policy pricing, but human oversight for complex cases is still needed.

3. Claims Processing (4 roles eliminated): AI can automate the process of initial claims assessment, reducing the need for human claims adjusters.

4. Customer Service (5 roles eliminated): AI can automate routine customer queries and issues through chatbots and AI-based customer service tools, reducing the need for human representatives.

5. Strategy and Management (No change): Roles involving strategic decision-making and overall management would remain crucial and largely unaffected by AI.

6. IT and Support (1 role added): While some IT support roles can be automated, the firm would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Investment Bank

• Financial Modeling (5 roles eliminated): AI can automate financial modeling tasks, reducing the need for financial analysts.

• Market Research (5 roles eliminated): AI can perform market research and analysis tasks, reducing the number of analysts required.

• Due Diligence (3 roles eliminated): AI can automate certain due diligence tasks, like data room analysis and initial risk assessment, reducing the need for junior roles.

• Deal Sourcing (2 roles eliminated): AI tools can help identify potential deal opportunities, but human judgement is still necessary to evaluate the strategic fit of potential deals.

• Client Relations (1 role restructured): While AI can handle routine queries and generate reports, building and maintaining relationships with clients requires a human touch.

• Strategy and Management (No change): Roles involving strategic decision-making and management would remain crucial and largely unaffected by AI.

• IT and Support (1 role added): While some IT support roles can be automated, the firm would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Human Resources

• Recruitment (5 roles eliminated): AI can automate the process of sourcing candidates and initial screening through keyword matching and predictive analytics, reducing the need for recruiters.

• Payroll and Benefits Administration (3 roles eliminated):Payroll and benefits administration can be automated, reducing the need for administrative roles.

• Employee Onboarding (2 roles eliminated): AI can help with the process of onboarding new employees, from providing initial information and resources to setting up administrative necessities.

• Training and Development (2 roles restructured): While AI can provide personalized training materials and track progress, human roles are crucial for understanding employee development needs and strategizing training approaches.

• Employee Relations and Strategic HRM (No change): Roles that require high levels of human interaction, such as handling employee concerns and strategic human resource planning, would remain crucial, and thus untouched by AI.

• IT and Support (1 role added): While some IT support roles can be automated, the department would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Science: Lab Research

• Data Analysis (7 roles eliminated): AI can automate the process of analyzing large data sets, reducing the need for data analysts.

• Predictive Modeling (5 roles eliminated): AI can automate the creation and refinement of predictive models based on research data, reducing the need for modeling specialists.

• Experimental Design (2 roles restructured): While AI can assist in designing experiments based on prior data, human input is still necessary for creative and innovative experimental designs.

• Research Coordination (No change): Roles that coordinate research efforts, manage timelines, and ensure regulatory compliance would likely remain crucial and largely untouched by AI.

• Senior Researcher/Scientist (No change): Senior roles that guide the direction of research, interpret results, and make strategic decisions would remain vital.

• Laboratory Technicians (4 roles eliminated): Some routine laboratory tasks may be automated with AI and robotics, reducing the need for certain technician roles.

• IT and Support (1 role added): While some IT support roles can be automated, the team would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Sales Team

1. Lead Generation (4 roles eliminated): AI can automate the process of lead generation through data mining and predictive analytics, reducing the need for certain sales roles.

2. Prospecting (3 roles eliminated): AI can help identify potential customers and evaluate their interest or fit, reducing the need for manual prospecting.

3. Routine Customer Queries (2 roles eliminated): AI chatbots or automated messaging systems can handle routine customer queries, reducing the need for human intervention.

4. Sales Data Analysis (2 roles eliminated): AI can analyze sales data to identify trends, forecast sales, and optimize pricing, reducing the need for sales analysts.

5. Sales Representatives (No significant change): While AI can provide tools to assist sales representatives, the human touch is vital for building relationships, understanding customer needs, and closing deals.

6. Sales Management (No change): Roles that involve strategy, team management, and high-level client relationships would likely remain crucial and largely untouched by AI.

7. IT and Support (1 role added): While some IT support roles can be automated, the team would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Web Development

1. Web Design (3 roles eliminated): AI can automate certain aspects of web design, such as layout creation and color scheme selection, which could reduce the need for some design roles.

2. Coding (5 roles eliminated): AI can automate some coding processes, especially for common features and functionality, reducing the need for certain developer roles.

3. Testing (3 roles eliminated): AI can automate the process of testing, identifying bugs and issues more efficiently, reducing the need for manual tester roles.

4. Maintenance (2 roles eliminated): AI can automate certain maintenance tasks, like identifying and patching vulnerabilities, reducing the need for some roles.

5. UX/UI Design (No significant change): While AI can assist with some design tasks, human creativity and understanding of user behavior are essential for designing effective user interfaces.

6. Project Management (No change): Roles that involve strategy, team management, and client relationships would likely remain crucial and largely untouched by AI.

7. IT and Support (1 role added): The company would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Consulting Firm

1. Data Analysis (3 roles eliminated): AI can automate the process of data collection and preliminary analysis, reducing the need for certain analyst roles.

2. Market Research (2 roles eliminated): AI can automate the process of gathering and analyzing market data, reducing the need for some research roles.

3. Report Generation (2 roles eliminated): AI can help generate reports based on provided data and insights, reducing the need for some roles focused on this task.

4. Strategy Formulation (No significant change): While AI can provide data and insights, roles focused on formulating business strategy, based on a deep understanding of the client's industry and specific issues, would remain crucial.

5. Client Relationship Management (No change): Roles that involve maintaining client relationships, understanding client needs, and developing customized strategies would likely remain crucial and largely untouched by AI.

6. Senior Consulting Roles (No change): The strategic leadership and decision-making roles, which require years of experience and deep industry knowledge, would remain crucial and largely untouched by AI.

7. IT and Support (1 role added): The company would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Creative Agency

1. Graphic Design (2 roles eliminated): AI can automate some aspects of graphic design for simple tasks like creating social media graphics, reducing the need for certain design roles.

2. Content Creation (2 roles eliminated): AI can generate simple content such as blog posts or social media updates, reducing the need for some copywriters.

3. Market Research (3 roles eliminated): AI can automate the collection and analysis of market data, reducing the need for certain roles.

4. Media Planning (2 roles restructured): While AI can optimize media buying and ad placement, human oversight and strategy are still necessary.

5. Client Services (No significant change): Roles focused on managing client relationships, understanding client needs, and developing customized strategies would remain crucial.

6. Creative Direction (No change): The roles that involve creative leadership, strategy, and high-level decision making would likely remain crucial and largely untouched by AI.

7. IT and Support (1 role added): The agency would need more AI specialists to maintain and upgrade the new systems, slightly increasing the need in this area.

Thank you for taking the time to review. We'd love to hear your thoughts on the industries and jobs impacted by artificial intelligence. Where do you think this is all going? Do you think more jobs will be created?