Exploring the Future: How AI is Changing Marketing Jobs

Jorge Luis Alonso G.
3 min readAug 19, 2024

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Created by DALL·E 3

This note looks at how AI is changing jobs by studying the tasks AI can do now and guessing what it might do next. It shows how SmarterXAI’s JobsGPT helps workers, such as those in marketing, understand how AI is impacting their jobs and how they can improve their work to be more efficient.

by Jorge Luis Alonso with ChatGPT-4o

A job is a set of tasks. To understand how AI will affect your job and prepare your organization for the future, it’s important to look at what AI can do now and plan for how it will change as it becomes smarter and more versatile.

Paul Roetzer, Founder & CEO, Marketing AI Institute and SmarterX, has spent the last few months building JobsGPT by @SmarterXAI to help.

I have tried it and it is amazing!

This is the prompt I used to test it:

I’m preparing to apply for a marketing position where AI expertise is critical. Could you help me analyze how AI, specifically large language models like GPT-4, might impact the tasks and responsibilities of this role? I’d like to understand which tasks are most exposed to AI advancements and how I can prioritize them to maximize efficiency and productivity in my future job.

This is its answer:

| **Task**                                | **Exposure Level** | **Estimated Time Saved (%)** | **Rationale**                                                                                                                                       |
|-----------------------------------------|--------------------|-----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------|
| Content Creation (Blogs, Articles) | E1 | 30-50% | LLMs can generate drafts, suggest headlines, and optimize content for SEO, significantly reducing the time required to create high-quality content. |
| Social Media Management | E1/E2 | 20-40% | LLMs can draft posts, analyze engagement metrics, and suggest posting schedules. Advanced tools could further automate content planning and scheduling. |
| Market Research | E1/E6 | 25-45% | LLMs can analyze large datasets, summarize trends, and provide insights, although deeper market understanding requires human interpretation. |
| Email Marketing Campaigns | E1/E2 | 20-35% | LLMs can assist in drafting emails, personalizing content, and optimizing send times. Integration with CRM tools can enhance automation. |
| SEO Strategy Development | E2 | 15-30% | AI-powered tools can analyze keywords, competitor strategies, and suggest improvements. LLMs alone provide partial assistance. |
| Data Analysis & Reporting | E1 | 25-40% | LLMs can summarize data, generate reports, and identify key metrics, streamlining the reporting process. |
| Advertising Campaign Planning | E1/E2 | 20-35% | LLMs can help brainstorm campaign ideas and predict outcomes based on historical data. Tools can further automate performance tracking. |
| Customer Journey Mapping | E2/E6 | 15-30% | AI can assist in visualizing customer journeys, but human creativity and strategic thinking are still essential for effective mapping. |
| Public Relations & Brand Management | E6/E7 | 10-25% | LLMs can draft press releases and suggest brand messaging, but human expertise is crucial for maintaining brand integrity and managing crises. |
| Strategic Planning | E1/E6 | 20-40% | LLMs can help brainstorm marketing strategies, analyze SWOT (Strengths, Weaknesses, Opportunities, Threats), and predict potential outcomes. |
| Visual Content Creation (Graphics, Video)| E3/E4 | 15-25% | AI can assist in generating visuals or video content, but creative direction and refinement are still primarily human tasks. |
| Lead Generation & Nurturing | E2/E8 | 20-35% | AI can help identify potential leads and automate follow-up processes through integrated CRM systems. |
| Event Planning & Management | E2/E8 | 10-20% | AI can assist in logistics planning and attendee communication, but human oversight is needed for successful execution. |
| Customer Feedback Analysis | E1/E2 | 25-40% | LLMs can analyze customer feedback, identify trends, and suggest improvements. Advanced tools can automate response strategies. |
| Budgeting & Financial Planning | E1 | 20-35% | LLMs can analyze financial data, predict ROI, and suggest budget allocations, helping streamline financial planning. |

I believe the estimated time savings for the first task (content creation) could be slightly higher. This is based on my experience working on it.

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Jorge Luis Alonso G.
Jorge Luis Alonso G.

Written by Jorge Luis Alonso G.

Agricultural Data Specialist Pivoting into AI-Driven A/B Testing | Exploring AI Applications in Agricultural Marketing Research

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