Navigating the New Frontier of AI In Public Relations
Gini Dietrich
CEO at Arment Dietrich | Founder of Spin Sucks | Creator of the PESO Model?
Probably a decade or so ago, back when we did Fireside Chats with marketing and comms experts on Spin Sucks, I had Chris Penn as a guest (I just looked; it was seven years ago!). We talked about artificial intelligence.
He said something that day that has stuck with me all of this time. I’m paraphrasing, but he essentially said that someday, our jobs will be not unlike an orchestra conductor. We will have a team of robots that do the work we need done, and we will conduct how they all come together.
At the time, it seemed unlikely that that world would ever happen, but here we are. With all of the generative AI tools at our fingertips and semantic search changing the way we think about content creation, we are now conducting robots to do our bidding (but again, they’re still not doing our dishes or laundry!).?
Not a single day goes by that I’m not using ChatGPT , Perplexity , Gemini , and Opus to help with our work—and we become more dependent on each of those tools as they continue to improve. It’s like having a team of really smart interns working with us 24/7.
Penn was right: we are conducting an orchestra of robots.
You’re Not Immune to AI
Greg Brooks recently snipped from a Hacker News comment related to OpenAI’s new release and posted it on Reddit (which says a lot that I saw because Reddit scares me, but I go there to see what smart advice he’s doling out).?
The comment was, “We’re moving toward a world where every job will be modeled, and you’ll either be an AI owner, a model architect, an agent/hardware engineer, a technician, or just..training data.”
Let me repeat: you’ll be an AI owner, a model architect, an agent/hardware engineer, a technician, or training data.
Just as Chris predicted seven years ago, you are conducting an orchestra of robots in each of those scenarios.
I know many of you don’t want to use AI for whatever reason: it’s scary, will take your job, or can’t replace the human touch of what you do. A client told me the other day that he told his team, “Not using AI is like being an accountant who wants to do all of their calculations with paper and pen instead of Excel.”?
A-freaking-men!
You’re not immune to AI, and it’s not scary. Is it going to replace you? Of course not! Is your job going to change? For sure, it is!?
Some people think we’ll be replaced by robots and all sit around on our couches, watching Netflix. That’s not going to happen. But the way you do your job will absolutely be replaced.?
So why not be ready versus putting your fingers in your ears and singing, “La la la la la” as loudly as you can?
Let’s explore each scenario Greg snipped to get your juices flowing.
The AI Owner
The AI owner. Imagine, if you will, you have an expertise or a certain skill set. Crisis communications or strategic planning, for instance. Or you have a framework only your organization or agency uses—the PESO Model? .
This expertise will eventually require custom-trained models that you can use to work with customers or clients.?
A smart domain-focused PR firm, like one focused on manufacturing, law, or beauty products, could train those models and build a business by renting them to clients.?
It would make a lot of sense for my team and me to create one for the PESO Model, right (it’s like you’re looking into our strategic plan!). You then could achieve your PESO Model Certification? because it’s imperative for you to know enough to be able to conduct your orchestra of robots and then use our trained AI to help you execute it, tweak it, measure it, and improve.
But you don’t have to have a framework that an entire industry uses to be an AI owner. Let’s say your expertise is in crisis communications, and you work for an agency. Rather than have clients call you when something happens, you can train an AI to predict what might happen—and when—for clients you already have, prospects you’d like to work with, and an industry overall.?
To do that, there are four steps:
The Model Architect
Perhaps owning the AI isn’t the right fit for you right now—either for your business, the organization you work for, or yourself personally. That’s OK! There are other ways AI will help you become more efficient as you evolve your career versus being replaced.
Another is the model architect. This person, team, organization, or agency focuses on improving existing AI models to support their processes.?
We’re already at the point where becoming a model architect will benefit you—and some of you may already be doing it without even realizing it. Your daily life has many practical applications: sentiment analysis, media monitoring, crisis prediction and management, content generation (ideas or first draft only!), and influence identification.
You’re probably using AI for most of those things already, maybe without even realizing it, especially if you use software for some of it. This is great because you’re already on the path to becoming an AI model architect.
To get yourself over the finish line and start offering it either as part of your skillset as you move up the ladder or to clients if you work for an agency, there are four steps for you to take:
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The Agent or Hardware Engineer
The agent or hardware engineer is where many of us are right now. We’re experimenting and figuring out how to make AI work in our daily lives and for our organizations and/or clients.?
This is a start, but it’s not a way to build a career or business with a moat around it (aka get paid more or charge more).?
Suppose you want to use AI to increase your efficiency and effectiveness. In that case, building an army (or orchestra if we’re going with the conductor analogy) of engineers is where you should begin to focus your time.?
In this case, as an AI agent, you develop AI that automates and optimizes the various tasks you do every day. Think admin tasks, such as media list development or editorial calendars, media monitoring, sentiment analysis, and results reporting. All of the things you probably don’t enjoy doing very much, but are critical to the success of your job.?
Here is how you might do that:
When you do this kind of work, you create an orchestra of robots to do your bidding for you so you can focus on the more strategic—and more valuable—parts of your job.
The Technician
The AI technician bridges the gap between developers, engineers, and comms pros. This person is learning how this works but doesn’t have enough experience to conduct an entire symphony alone. They likely have zero to seven years of experience and are learning the trade and how to use AI in their jobs. Eventually, this person wants to be an engineer, architect, or agent and is learning as much as possible along the way.?
An example of how a technician might work in today’s comms world is that you have the software set up to monitor media, social media, and trends, and, for the most part, the AI does its job. However, some oversight still needs to be done to ensure the AI is correctly trained on sentiment and share of voice.
The technician might log in every day and scroll through all of the mentions to confirm the sentiment and other metrics are reported correctly. If they are not, the AI technician corrects them, which trains the AI to tweak what it delivers the next time.
Eventually, the software does its job without the technician. That person can move on to tasks such as crisis management, trends reporting, search and AI optimization, and/or content creation.?
While not a glorious job, it’s necessary as someone moves up through the PR ranks. Once you know how to conduct one robot, you can eventually conduct an entire symphony.
The Data Trainer
The data trainer ensures the AI systems deliver accurate, unbiased, and ethical outputs. Just the other day, we had a conversation in the Spin Sucks Community about the dangers of AI, and some wondered if it’s too late to put the genie back into the bottle.
I do think it’s too late—and I think the pros far outweigh the cons, but there are many considerations PR pros should take into account. We talked earlier this year about how we can responsibly navigate weaponized information , and the same goes for AI.?
Unfortunately, PR pros will figure out that they can affect AI’s output by flooding it with biased training data. The same will be true using AI, just like we have whisper and smear campaigns.?
It’s highly unethical, but human nature and its sheer amplification make it tempting to think someone (or someones) won’t do it.
If you aim to be someone who trains the data, there are some pros and some cons to consider.?
The pros include:
The cons include:?
Your Own Orchestra of Robots
As with anything, time will tell where this all goes. It’s an exciting time to work in our industry, full of innovation and technological advancements that we have yet to experience.
If you open your mind to the possibilities versus sticking your head in the sand because of the dangers, you’ll soon be on your way to conducting an AI orchestra of robots of your own.
Resources
This section is dedicated to resources that should help make your professional life easier.?
It's amazing how accurately Christopher Penn predicted the future of AI in our industry. Your insights on conducting this orchestra of robots are truly enlightening and essential for navigating this new landscape. Your article is a valuable resource for those looking to excel in this AI-driven era.
Academic at University of Wollongong
3 个月What a great read! Maybe another part of the "chat" is explaining to clients how the use of Gen AI can optimise results.
Chris Penn's foresight into the future of AI as orchestra conductors for a team of robots seemed far-fetched a decade ago, but it's our reality today. Your insights into evolving roles in AI and transitioning into new roles are invaluable. Thank you for shedding light on the crucial need for responsible AI use in PR.
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4 个月Whether we like it or not, AI is here to stay, so it's crucial to keep developing the necessary skills to direct AI to benefit our careers.
PR for founders & startups
4 个月It's fascinating how Chris Penn's vision is unfolding before our eyes. This article offers a great roadmap for navigating the AI revolution in PR. Gini Dietrich