How Will AI Agents Impact Marketing Communications Jobs & Education? See Google’s AI Reasoning Model’s “Thoughts” And My Own.

AI image generated using Google ImageFX from the prompt “Create a painting depicting the British army in red coats as AI robots coming into town to take people's jobs." https://labs.google/fx/tools/image-fx

In my last post, I warned of the AI agents coming to take our jobs like Paul Revere warning of the British coming. Large language model companies like OpenAI, Google, and SAAS companies integrating AI are promising increased autonomous action. Salesforce has even named their AI products Agentforce, which literally sounds like an army coming to take over our jobs!

Whether you’re in marketing, advertising, PR, or communications or a professor in these areas it’s important to remember AI agents and new reasoning models aren’t magical or human. They’re simply really good prediction machines. But they’re so good AI will increasingly take parts of our jobs now and potentially replace entire jobs in the not-too-distant future.

But they’re not good at everything and not always right. That’s why you need to be involved in determining how AI will be used in your job. Don’t let AI happen to you. Make AI work for you.

AI image generated using Google ImageFX from the prompt “Create a painting depicting the British army in red coats as AI robots coming into town to take people’s jobs.” https://labs.google/fx/tools/image-fx 

Productivity gains are already happening with AI.

Ethan Mollick, author of Co-Intelligence: Living and Working with AI recently shared a study that found 30% of U.S. workers are using AI every day and that it is tripling their productivity (reducing a 90-minute task to 30 minutes). If you are not in that 30% there is still time to catch up. Honestly, as much as I write about AI and implement it in my classes I don’t use it as much as I should for my everyday tasks.

That’s why I turned to Gemini for help with this post. I wanted to test a new reasoning model and see how it thinks but also use it as a research assistant. Writing an article like this takes a lot of time. In addition to testing the new Gemini “reasoning” model, I was looking for time savings in researching how AI agents may impact marcom jobs.

In this post, I look under the hood to see how AI crafts responses by seeing what Google’s new reasoning model “thinks” about the future of marketing related careers. Will AI agents take our jobs? If so, how soon? For my test, I gave Gemini 2.0 Flash Thinking a prompt that I know worries many in my field. Below is my prompt. I wanted a brutally honest assessment.

I asked Google’s reasoning model Gemini 2.0 Flash to give me a brutally honest look at the future of marketing jobs and how they will be impacted.” From https://aistudio.google.com/
I asked Google’s reasoning model Gemini 2 Flash Thinking to give me a brutally honest look at the future of marketing jobs and how they will be impacted. https://aistudio.google.com/

What does AI think about AI agents taking our jobs?

First, let’s get to know the reasoning model I used. Google explains it by saying, “the Gemini 2.0 Flash Thinking model is an experimental model that’s trained to generate the “thinking process” the model goes through as part of its response. As a result, the Flash Thinking model is capable of stronger reasoning capabilities in its responses than the Gemini 2.0 model.

How do you see its thinking? In the screen capture above you have an option to click on “Expand to view model thoughts” before you read the response. I did this to see its chain of thought and include the thought process in the screen capture below.

Gemini took a 10-step process to get to the final answer:

  1. Acknowledge the User’s Need
  2. Frame the Initial Message
  3. Structure the Timeline
  4. Brainstorm Areas of Impact (Current & Future)
  5. Assign Percentage of Impact – Now (Base Reality)
  6. Incrementally Increase Percentages Over Time
  7. Directly Address Jobs Replacement – Hard Truths
  8. Focus on Skill Sets Needed for Survival and Success
  9. Maintain a “Brutal but Constructive” Tone
  10. Refine and Sharpen Language.
I asked Google’s reasoning model Gemini 2.0 Flash to give me a brutally honest look at the future of marketing jobs and how they will be impacted.” From https://aistudio.google.com/
Google’s Gemini 2 reasoning model showed me the thinking process for responding to my prompt. https://aistudio.google.com/

Seeing AI’s thought process and its self-correction.

Before my brutally honest prompt, my prompt was to get an honest, yet reassuring answer to the question. In the screen capture below you can see how numbers 1 and 2 in the thinking process varied from above. I imagine that is how I think when writing for different audiences. That is why tools such as personas are great for marketing professionals crafting content.

In that first prompt, I also saw how it “self-corrected” in the process. An initial prediction of AI automating 50% of marketing content within a year was second guessed as Gemini talked to itself saying “That’s likely too high and broad. AI can automate some content creation tasks like basic … but not complex storytelling, brand voice development, or strategic content planning.” The self-correction resulted in dropping the number to 20-30%.

I asked Google’s reasoning model Gemini 2.0 Flash to give me a brutally honest look at the future of marketing jobs and how they will be impacted.” From https://aistudio.google.com/
Gemini 2 Thinking showed how it self-corrected a prediction about AI taking on 50% of content marketing tasks next year. https://aistudio.google.com/

Let’s get to its final response. How worried should marketers or communications professionals that support marketing be? What should we be doing to prepare ourselves and our students for this AI revolution?

The response is broken into three “Brutal Truths.” From my research and study, most of this feels accurate. Honestly, much of the first category is already happening and has been done for years by other forms of AI. So it is not surprising to me.

Brutal Truth 1: Some parts of your job will be replaced and some jobs will be eliminated.

Below is a screen capture of Gemini’s response. It predicts 5-20% of tasks will be outsourced to AI in an “efficiency overhaul.” It includes mundane repetitive tasks, basic content creation, customer segmentation plus lower-tier performance reporting and analytics. This fits what I know.

In the last two years, we’ve seen more basic content creation being done by AI whether through LLMs like ChatGPT or AI integrations into SAAS platforms such as Owly Writer in Hootsuite. For customer segmentation, I can see AI helping with data collection, but overall segmenting audiences requires more human insight.

The final one isn’t surprising. Creating auto-generated reports off previously set-up dashboards has been around for years. The important part is knowing what KPIs are important – the realm of a seasoned human strategist. A new aspect may be auto-generating initial language around the reports and a prompt overlay. But I would not rely on AI to understand the full context.

I asked Google’s reasoning model Gemini 2.0 Flash to give me a brutally honest look at the future of marketing jobs and how they will be impacted.” From https://aistudio.google.com/
Google Gemini 2 Thinking’s brutally honest truth one about the future of marketing and communications jobs with AI. https://aistudio.google.com/

Brutal Truth 2: The demand shift is dramatic. Adapt or fade.

Below is the screen capture of Gemini’s second brutal truth. The demand shift will be dramatic. It tells us to “adapt or fade.” After the brutal message, it does try to reassure us saying that marketing isn’t going away. But don’t feel too reassured because Gemini follows up with an all-caps pronouncement that it will change RADICALLY.

You want to position yourself in a high demand area. This includes strategic marketing visionaries (AI-augmented), creative directors and brand storytellers (AI-guided), and data-driven insight interpreters and storytellers. It includes AI marketing technologists and integrators, ethical AI marketing guardians, and human-connection and empathy experts. I feel confident in these areas and confident teaching students these higher level skills.

They don’t surprise me. My revelation came when I stopped thinking of AI as all-or-nothing. The scary AI agent redcoats became more manageable when I broke my job into tasks and reclaimed my human agency to decide what to use AI for and not to use it for. That’s the purpose of my AI Use Framework.

I asked Google’s reasoning model Gemini 2.0 Flash to give me a brutally honest look at the future of marketing jobs and how they will be impacted.” From https://aistudio.google.com/
Google Gemini 2 Thinking’s brutally honest truth two about the future of marketing and communications jobs with AI. https://aistudio.google.com/

Whether you follow my framework or not, I encourage you to break down your job into tasks and find the things that can be automated by AI. You’ll be surprised at what you won’t mind giving to AI to spend more time on what you enjoy more. You’ll also discover things that could be automated but should be kept for humans because the goal is to build relationships and relationships can’t be automated.

The high-demand future list looks accurate. They’re uniquely human-based skills even if parts become AI-augmented or AI-guided. The key is to make this shift yourself now. If you don’t AI will become the thing that happens to you, not the thing that you help shape and influence. Find tasks that can and should be outsourced to AI and start using it. But don’t trust it for everything. No matter how confident it sounds, it doesn’t always get everything right. Use your discipline expertise to discern and verify results.

Brutal Truth 3: Upskilling is not optional. It is survival.

The third brutal truth reinforces what I said above. Upskilling is not an option. AI innovation is coming quicker than any other technology revolution. You can’t opt out (unless you’re retiring this year). Thus, you need to become AI literate, focus on strategy and creative thinking, embrace data, learn to work with AI, and specialize strategically.

I’m not a historian or war expert, but I’ll make a final connection to the theme of my last two posts. Some factors that contributed to the colonists winning the American Revolution include being familiar with their home territory (your discipline), strong motivation (defend your livelihood), and fighting for something they believed in (human ability and agency).

The Continental Army also moved away from traditional methods of battle. Your discipline, whether marketing, advertising, PR, communications, teaching, or something else, may have a long tradition of doing things a certain way. Now’s the time to find new ways to remain relevant to keep humans in the loop during the AI revolution.

I asked Google’s reasoning model Gemini 2.0 Flash to give me a brutally honest look at the future of marketing jobs and how they will be impacted.” From https://aistudio.google.com/
Google Gemini 2.0 Thinking’s brutally honest truth three about the future of marketing jobs with AI. https://aistudio.google.com/

I’m trusting AI for the predictions, but I’ve studied AI since 2022 and they seem accurate. They also match a similar prompt I tried in Anthropic’s Claude 3.7 and what SmarterX’s custom GPT JobsGPT 2.0. predicts. I shared JobsGPT with my AI use framework to help break down jobs into tasks to outsource to AI. A new feature forecasts AI jobs by industry, profession, or college major by job title, description, and skills required – helpful for professors’ curriculum and professionals’ upskilling.

I asked JOBGPT 2.0 by SmarterX to forecast new jobs that could emerge for marketing majors as AI reshapes the industry from https://chatgpt.com/g/g-wg93fVwAj-jobsgpt-by-smarterx-ai
I asked JobsGPT 2.0 to forecast new jobs for marketing majors as AI reshapes the professional field. https://chatgpt.com/g/g-wg93fVwAj-jobsgpt-by-smarterx-ai

In the end, I feel good about what I’m doing in my classes. I’ve always focused on higher-level strategic thinking and creativity focused on human insight and emotions through storytelling. Now I’m teaching students how to integrate AI into marketing, communications, and learning tasks. What can you do to help prepare for this future?

I asked Anthropic's Claude 3.7 to forecast how marketintg related jobs will change with AI agents and make recommendations for professors. https://claude.ai/
Anthropic Claude 3.7’s forecast on how marketing-related jobs will change with AI agents and recommendations for professors. https://claude.ai/

This Was 50% Human Created Content!

AI Task Framework: Examples of What I’d Outsource To AI And What I Wouldn’t.

Copilot created this image of a college age man sitting said in a basement looking lonely at an old dusty unused exercise bike.

This is the second post in a series of five on AI. In my last post, I introduced an AI task framework to be more intentional about why and how we use AI in our jobs, businesses, or organizations. In this post, I give examples based on my previous advertising career.

AI Framework Template for AI Use Click on the image to download a PDF template.

As an advertising copywriter, some everyday Tasks and Goals included:

  1. Fill out timesheets detailing what I worked on each day to bill time to clients and projects to get paid.
  2. Research a client’s business and industry to demonstrate knowledge of their unique challenges and opportunities.
  3. Create ideas for campaigns and individual ads to sell to a client and publish to meet marketing objectives.
  4. Write social media ad copy for social media marketing to generate engagement and conversions for a client.

(1.) I would outsource timesheets to AI.

I envision an AI assistant that Extracts (AI Function) file use logs from programs like Microsoft Word, Categorizes (AI Function) by job number, and Creates (Level of Thinking) a spreadsheet listing client, job, and time. I could review and adjust it before submitting.

After thinking of this example, I discovered that Microsoft is adding this capability. Copilot for time entry creates time entries for team members without navigating through forms or filling details with dropdowns, generating first drafts for users to modify and confirm for timesheet submission.

The Level of Thinking in this example is Applying a process to Create a suggestion for my time entry (AI Capabilities). It doesn’t require creativity or imagination and I maintain final human judgment on accuracy (Distinctive Human Skill). By tracking job numbers no Copyrighted or Proprietary data is used. Human impact is positive. Everyone I knew hated timesheets. We loved coming up with ideas (Legal & Ethical Use).

(2.) AI could help with some aspects of client research.

AI could Answer Questions (AI Function) like “What are the current challenges and opportunities in the ice cream industry?” An open system like GPT would give me general answers based on open sources from the internet that may or may not be the most current, accurate, or relevant.

AI is Understanding (Level of Thinking) on a cursory level (AI Capability). To contextualize this understanding to your client and judge for accuracy (Distinctive Human Skill) you need proprietary data from paid databases like Mintel, your client, or your own research. Your personal experience with the client or industry is an added Distinctive Human Skill.

You could outsource this to AI by uploading proprietary data into an AI model Summarize and Ask Questions. (AI Function). But you’re uploading Copyrighted/Proprietary material without permission (Legal & Ethical Use). Mintel forbids input into AI systems and clients are adding AI restrictions to contracts to protect their data from training LLM models a competitor could use.

Some are developing Closed AI versus Open AI systems that run locally storing data on their computers versus the cloud. The ad/PR agency network Publicis is investing in an internal AI built on proprietary data. When available this could be a great way to quickly get up to speed on a business and industry.

How much I’d outsource depends on my previous experience. If it was a new client or market I was unfamiliar with I may worry how much I’d Understand (Level of Thinking) or Remember (Level of Thinking) if AI did it all. In an in-person meeting could I recall or contextualize the information on the fly?

(3.) AI could help with some parts of idea generation.

I would outsource some brainstorming to AI, not idea formation, but AI could give me more material for ideas by Answering Questions (AI Function). Let’s say my client wants to sell water bottles to 25-34-year-olds. I could ask “What do 25-34-year-olds who work out look for in a water bottle?” and “What are current trends with 25-34-year-olds who work out?”

With these prompts, GPT via Copilot Created (Level of Thinking) a list of alternatives (AI capability). From the list, I put together a feature “one-hand operation” with a trend of “functional fitness.” Then I Asked for functional fitness examples. From that list, I put together a humorous image or video scene of a young woman easily sipping out of her Owala water bottle with one hand while swinging a heavy Kettlebell with the other. This formulated an original solution (Distinctive Human Skill).

Evaluating AI responses and knowing what to Ask (Level of Thinking) comes from knowledge of the client, problem, market, target, and trends to discern the best and identify AI hallucinations. I’d also use my domain expertise of what concepts are good Remembering (Level of Thinking) from my long-term memory of 17 years of creating ideas for clients (Distinctive Human Skill).

I wouldn’t have AI write ad copy or scripts directly. If it isn’t mostly Created by a human, it can’t be copyrighted to sell to your client or to protect them from use by competitors (Legal & Ethical Use). I’d also check my agency and client for specific restrictions on AI. Your Knowledge (Level of Thinking) of the client and humans (Distinctive Human Skill) is better at Creating (Level of Thinking) less generic more human copy and scripts.

(4.) AI could help in parts of social media campaign creation.

AI could help brainstorm content Answering (AI Function) “What kind of content do 25-34-year-olds who work out like to see on social media?” I’d Evaluate (Level of Thinking) AI’s best suggestions (Distinctive Human Skill). One was “personal anecdotes.” It reminded me of an insight I read in a Mintel report about unused home workout equipment.

I combine this with the text “Peloton brings the motivation of a community to your home.” This gave me a visual idea of unused home workout equipment. I could mockup the social idea using AI to Generate (AI Function) the image. I’d ask “Create an image of an unused, dusty, stationary bike in a basement with a lonely looking guy” (Level of Thinking). This image would help me sell the idea to the client.

Generated with AI (DALL-E 3 via Copilot Designer ∙ June 25, 2024 at 1:33 PM

After approval, my art director and I would consider Copyright issues. Using AI-created artwork for commercial use is unsettled due to sources for training data. Adobe Firefly claimed to be copyright-compliant, but revelations about training data may put Firefly users at legal risk. A trusted photographer may be best to ensure compliance (Legal & Ethical Use).

We’d also consider that the medium sends a message. Does an artificial human and image support Petoton’s message of genuine human connection? I’d weigh the risk of uncanny valley. When tech gets too close to human people get an unsettled feeling. That creepy feeling can be transferred into negative feelings about the brand. Toys R Us and Under Armour have faced backlash for using AI generated video in this way. Google sparked backlash over an ad where a dad had AI write a letter for his daughter because it had to be perfect (Legal & Ethical Use).

I can’t help thinking about the human impact. I’ve worked with many talented creators who add to my ideas with their expertise. If we all decide to use AI instead, photographers, models, illustrators, designers, and writers lose their livelihoods. Levi’s faced a backlash after announcing they’d use AI generated models (Legal & Ethical Use).

Creating content variations (AI Capabilities) is a tedious part of social media. AI could help Generate (AI Function) variations to fit different platforms. I could ask “Write this copy ‘Peloton brings the motivation and community of a gym to the convenience of your home’ in 10 different ways.” I could also tell it to write a specific length for each platform’s character limits. This type of AI outsourcing is happening. Meta Ad Manager is adding Text Variations and social media management software Hootsuite has OwlyWriter AI.

Going through this AI task exercise makes me hopeful.

Breaking down my job into tasks making intentional decisions on what to outsource to AI gives me hope. It reminds me of our human agency. It helps me visualize what Mollick describes in his book Co-Intelligence. Instead of replacing all human tasks, we can use AI as Centaur (division of tasks) and Cyborg (intertwined alternating subtasks).

Once you decide what tasks to outsource you need to know how to ask AI to get the best results. In my next post, I’ll dive deeper into prompt writing.

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