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OpenAI’s Drama Should Teach Marketers These 2 Lessons

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OpenAI’s Drama Should Teach Marketers These 2 Lessons

A week or so ago, the extraordinary drama happening at OpenAI filled news feeds.

No need to get into all the saga’s details, as every publication seems to have covered it. We’re just waiting for someone to put together a video montage scored to the Game of Thrones music.

But as Sam Altman takes back the reigns of the company he helped to found, the existing board begins to disintegrate before your very eyes, and everyone agrees something spooked everybody, a question arises: Should you care?

Does OpenAI’s drama have any demonstrable implications for marketers integrating generative AI into their marketing strategies?

Watch CMI’s chief strategy advisor Robert Rose explain (and give a shoutout to Sutton’s pants rage on The Real Housewives of Beverly Hills), or keep reading his thoughts:

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For those who spent last week figuring out what to put on your holiday table and missed every AI headline, here’s a brief version of what happened. OpenAI – the huge startup and creator of ChatGPT – went through dramatic events. Its board fired the mercurial CEO Sam Altman. Then, the 38-year-old entrepreneur accepted a job at Microsoft but returned to OpenAI a day later.

We won’t give a hot take on what it means for the startup world, board governance, or the tension between AI safety and Silicon Valley capitalism. Rather, we see some interesting things for marketers to put into perspective about how AI should fit into your overall content and marketing plans in the new year.

Robert highlights two takeaways from the OpenAI debacle – a drama that has yet to reach its final chapter: 1. The right structure and governance matters, and 2. Big platforms don’t become antifragile just because they’re big.

Let’s have Robert explain.

The right structure and governance matters

OpenAI’s structure may be key to the drama. OpenAI has a bizarre corporate governance framework. The board of directors controls a nonprofit called OpenAI. That nonprofit created a capped for-profit subsidiary – OpenAI GP LLC. The majority owner of that for-profit is OpenAI Global LLC, another for-profit company. The nonprofit works for the benefit of the world with a for-profit arm.

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That seems like an earnest approach, given AI tech’s big and disruptive power. But it provides so many weird governance issues, including that the nonprofit board, which controls everything, has no duty to maximize profit. What could go wrong?

That’s why marketers should know more about the organizations behind the generative AI tools they use or are considering.

First, know your providers of generative AI software and services are all exploring the topics of governance and safety. Microsoft, Google, Anthropic, and others won’t have their internal debates erupt in public fireworks. Still, governance and management of safety over profits remains a big topic for them. You should be aware of how they approach those topics as you license solutions from them.

Second, recognize the productive use of generative AI is a content strategy and governance challenge, not a technology challenge. If you don’t solve the governance and cross-functional uses of the generative AI platforms you buy, you will run into big problems with its cross-functional, cross-siloed use. 

Big platforms do not become antifragile just because they’re big

Nicholas Taleb wrote a wonderful book, Antifragile: Things That Gain From Disorder. It explores how an antifragile structure doesn’t just withstand a shock; it actually improves because of a disruption or shock. It doesn’t just survive a big disruptive event; it gets stronger because of it.

It’s hard to imagine a company the size and scale of OpenAI could self-correct or even disappear tomorrow. But it can and does happen. And unfortunately, too many businesses build their strategies on that rented land.

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In OpenAI’s recent case, the for-profit software won the day. But make no bones about that victory; the event wasn’t good for the company. If it bounces back, it won’t be stronger because of the debacle.

With that win on the for-profit side, hundreds, if not thousands, of generative AI startups breathed an audible sigh of relief. But a few moments later, they screamed “pivot” (in their best imitation of Ross from Friends instructing Chandler and Rachel to move a couch.)

They now realize the fragility of their software because it relies on OpenAI’s existence or willingness to provide the software. Imagine what could have happened if the OpenAI board had won their fight and, in the name of safety, simply killed any paid access to the API or the ability to build business models on top of it.

The last two weeks have done nothing to clear the already muddy waters encountered by companies and their plans to integrate generative AI solutions. Going forward, though, think about the issues when acquiring new generative AI software. Ask about how the vendor’s infrastructure is housed and identify the risks involved. And, if OpenAI expands its enterprise capabilities, consider the implications. What extra features will the off-the-shelf solutions provide? Do you need them? Will OpenAI become the Microsoft Office of your AI infrastructure?

Why you should care

With the voluminous media coverage of Open AI’s drama, you likely will see pushback on generative AI. In my social feeds, many marketers say they’re tired of the corporate soap opera that is irrelevant to their work.

They are half right. What Sam said and how Ilya responded, heart emojis, and how much the Twitch guy got for three days of work are fodder for the Netflix series sure to emerge. (Robert’s money is on Michael Cera starring.)

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They’re wrong about its relevance to marketing. They must be experiencing attentional bias – paying more attention to some elements of the big event and ignoring others. OpenAI’s struggle is entertaining, no doubt. You’re glued to the drama. But understanding what happened with the events directly relates to your ability to manage similar ones successfully. That’s the part you need to get right.

Want more content marketing tips, insights, and examples? Subscribe to workday or weekly emails from CMI.

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Cover image by Joseph Kalinowski/Content Marketing Institute

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How To Develop a Great Creative Brief and Get On-Target Content

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How To Develop a Great Creative Brief and Get On-Target Content

Every editor knows what it feels like to sit exasperated in front of the computer, screaming internally, “It would have been easier if I’d done it myself.”

If your role involves commissioning and approving content, you know that sinking feeling: Ten seconds into reviewing a piece, it’s obvious the creator hasn’t understood (or never bothered to listen to) a damn thing you told them. As you go deeper, your fingertips switch gears from polite tapping to a digital Riverdance as your annoyance spews onto the keyboard. We’ve all been there. It’s why we drink. Or do yoga. Or practice voodoo.

In truth, even your best writer, designer, or audiovisual content creator can turn in a bad job. Maybe they had an off day. Perhaps they rushed to meet a deadline. Or maybe they just didn’t understand the brief.

The first two excuses go to the content creator’s professionalism. You’re allowed to get grumpy about that. But if your content creator didn’t understand the brief, then you, as the editor, are at least partly to blame. 

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Taking the time to create a thorough but concise brief is the single greatest investment you can make in your work efficiency and sanity. The contrast in emotions when a perfectly constructed piece of content lands in your inbox could not be starker. It’s like the sun has burst through the clouds, someone has released a dozen white doves, and that orchestra that follows you around has started playing the lovely bit from Madame Butterfly — all at once.

Here’s what a good brief does:

  • It clearly and concisely sets out your expectations (so be specific).
  • It focuses the content creator’s mind on the areas of most importance.
  • It encourages the content creator to do a thorough job rather than an “it’ll-do” job.
  • It results in more accurate and more effective content (content that hits the mark).
  • It saves hours of unnecessary labor and stress in the editing process.
  • It can make all the difference between profit and loss.

Arming content creators with a thorough brief gives them the best possible chance of at least creating something fit for purpose — even if it’s not quite how you would have done it. Give them too little information, and there’s almost no hope they’ll deliver what you need.

On the flip side, overloading your content creators with more information than they need can be counterproductive. I know a writer who was given a 65-page sales deck to read as background for a 500-word blog post. Do that, and you risk several things happening:

  • It’s not worth the content creator’s time reading it, so they don’t.
  • Even if they do read it, you risk them missing out on the key points.
  • They’ll charge you a fortune because they’re losing money doing that amount of preparation.
  • They’re never going to work with you again.

There’s a balance to strike.

There’s a balance to be struck.

Knowing how to give useful and concise briefs is something I’ve learned the hard way over 20 years as a journalist and editor. What follows is some of what I’ve found works well. Some of this might read like I’m teaching grandma to suck eggs, but I’m surprised how many of these points often get forgotten.

Who is the client?

Provide your content creator with a half- or one-page summary of the business:

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  • Who it is
  • What it does
  • Whom it services
  • What its story is
  • Details about any relevant products and services

Include the elevator pitch and other key messaging so your content creator understands how the company positions itself and what kind of language to weave into the piece.

Who is the audience?

Include a paragraph or two about the intended audience. If a company has more than one audience (for example, a recruitment company might have job candidates and recruiters), then be specific. Even a sentence will do, but don’t leave your content creator guessing. They need to know who the content is for.

What needs to be known?

This is the bit where you tell your content creator what you want them to create. Be sure to include three things:

  • The purpose of the piece
  • The angle to lead with
  • The message the audience should leave with

I find it helps to provide links to relevant background information if you have it available, particularly if the information inspired or contributed to the content idea, rather than rely on content creators to find their own. It can be frustrating when their research doesn’t match or is inferior to your own.

How does the brand communicate?

Include any information the content creators need to ensure that they’re communicating in an authentic voice of the brand.

  • Tone of voice: The easiest way to provide guidance on tone of voice is to provide one or two examples that demonstrate it well. It’s much easier for your content creators to mimic a specific example they’ve seen, read, or heard than it is to interpret vague terms like “formal,” “casual,” or “informative but friendly.”
  • Style guide: Giving your content creator a style guide can save you a lot of tinkering. This is essential for visuals but also important for written content if you don’t want to spend a lot of time changing “%” to “percent” or uncapitalizing job titles. Summarize the key points or most common errors.
  • Examples: Examples aren’t just good for tone of voice; they’re also handy for layout and design to demonstrate how you expect a piece of content to be submitted. This is especially handy if your template includes social media posts, meta descriptions, and so on.

All the elements in a documented brief

Here are nine basic things every single brief requires:

  • Title: What are we calling this thing? (A working title is fine so that everyone knows how to refer to this project.)
  • Client: Who is it for, and what do they do?
  • Deadline: When is the final content due?
  • The brief itself: What is the angle, the message, and the editorial purpose of the content? Include here who the audience is.
  • Specifications: What is the word count, format, aspect ratio, or run time?
  • Submission: How and where should the content be filed? To whom?
  • Contact information: Who is the commissioning editor, the client (if appropriate), and the talent?
  • Resources: What blogging template, style guide, key messaging, access to image libraries, and other elements are required to create and deliver the content?
  • Fee: What is the agreed price/rate? Not everyone includes this in the brief, but it should be included if appropriate.

Depending on your business or the kind of content involved, you might have other important information to include here, too. Put it all in a template and make it the front page of your brief.

Prepare your briefs early

It’s entirely possible you’re reading this, screaming internally, “By the time I’ve done all that, I could have written the damn thing myself.”

But much of this information doesn’t change. Well in advance, you can document the background about a company, its audience, and how it speaks doesn’t change. You can pull all those resources into a one- or two-page document, add some high-quality previous examples, throw in the templates they’ll need, and bam! You’ve created a short, useful briefing package you can provide to any new content creator whenever it is needed. You can do this well ahead of time.

I expect these tips will save you a lot of internal screaming in the future. Not to mention drink, yoga, and voodoo.

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This is an update of a January 2019 CCO article.

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Quiet Quitting vs. Setting Healthy Boundaries: Where’s The Line?

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Quiet Quitting vs. Setting Healthy Boundaries: Where's The Line?

In the summer of 2022, we first started hearing buzz around a new term: “Quiet quitting“.

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Microsoft unveils a new small language model

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Microsoft unveils a new small language model

Phi-3-Mini is the first in a family of small language models Microsoft plans to release over the coming weeks. Phi-3-Small and Phi-3-Medium are in the works. In contrast to large language models like OpenAI’s ChatGPT and Google’s Gemini, small language models are trained on much smaller datasets and are said to be much more affordable for users.

We are excited to introduce Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding and math benchmarks.

Misha Bilenko Corporate Vice President, Microsoft GenAI

What are they for? For one thing, the reduced size of this language model may make it suitable to run locally, for example as an app on a smartphone. Something the size of ChatGPT lives in the cloud and requires an internet connection for access.

While ChatGPT is said to have over a trillion parameters, Phi-3-Mini has only 3.8 billion. Sanjeev Bora, who works with genAI in the healthcare space, writes: “The number of parameters in a model usually dictates its size and complexity. Larger models with more parameters are generally more capable but come at the cost of increased computational requirements. The choice of size often depends on the specific problem being addressed.”

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Phi-3-Mini was trained on a relatively small dataset of 3.3 trillion tokens — instances of human language expressed numerically. But that’s still a lot of tokens.

Why we care. While it is generally reported, and confirmed by Microsoft, that these SLMs will be much more affordable than the big LLMs, it’s hard to find exact details on the pricing. Nevertheless, taking the promise at face-value, one can imagine a democratization of genAI, making it available to very small businesses and sole proprietors.

We need to see what these models can do in practice, but it’s plausible that use cases like writing a marketing newsletter, coming up with email subject lines or drafting social media posts just don’t require the gigantic power of a LLM.



Dig deeper: How a non-profit farmers market is leveraging AI

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