ChatGPT will die.

Long live ChatGPT. (And all it's API:s)

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Happy Friday, folks,

Tomorrow, I’m heading west!

In less than one week, at 1:30 PM, I'll be standing on the Oceanside D stage at the HR Technology Conference & Exposition and talking about Elevating HR with Generative AI.

Not from a "this might happen in the future" or "buy my AI product" but from an HR perspective.

What can we do? What should we do?

My aim is that you'll walk away from the session energized and optimistic about the future and with concrete next steps you can take to start working with this in your organization. (Once you are back from the conference.)

I know I’m 100% biased here, but if you happen to be in Vegas next week - swing by the session; I’ll probably talk too fast, get too engaged, and use my best Swenglish.

Podcast

If you speak Swedish, listen to my new podcast with Sara Breman.
Listen on Spotify or Apple Podcast.

That said.
Let’s get to it!

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This week, we saw yet another release of generative AI tools, most interestingly from LinkedIn, when they launched new AI capabilities within Recruiter and LinkedIn Learning. It’s hard not to be intrigued by how LinkedIn is leveraging AI to augment human expertise in talent management and recruitment, and just like Workday, they have an enormous amount of data to build these products.

The new Recruiter 2024 uses a combination of generative AI and LinkedIn's unique insights to surface relevant job candidates beyond the usual target companies quickly. Recruiters can now describe ideal candidates in plain language, and AI helps infer the meaning to recommend qualified people. It’s not the first AI feature LinkedIn has launched; during the spring, they found AI-assisted messages, and 74% of recruiters in early tests said the new feature saves them time.

Similarly, LinkedIn Learning is introducing AI coaching to provide personalized and tailored skill-building advice. The AI chatbot can answer questions and recommend expert content to develop in-demand skills efficiently. From the demo and what I’ve read about it, it seems like having an on-demand and highly skilled mentor at your fingertips.

The new features have already been rolled out to a few customers and will roll out to throughout the year (which I’m guessing refers to this year, 2023, then?)

But why will ChatGPT die because of this?

It won’t.
Not by LinkedIn, but I think ChatGPT will die by a million cuts like launches like this.

When Generative AI sneaks its way into almost all the products we currently use, the need to copy-paste stuff to ChatGPT diminishes, and even though ChatGPT is insanely user-friendly, there are still thresholds to using it.

These embedded AI solutions are estimated to grow, grow, and grow. Estimates have it that the embedded AI market is expected to grow from $9.4 billion in 2023 to $18 billion by 2027.

While ChatGPT offers impressive AI capabilities, its usefulness relies entirely on users taking the initiative to copy and paste information into the chatbot. Integrating AI directly into tools like LinkedIn Recruiter or Wokdays GenAI eliminates this extra step, making assistance instantly available and more seamless.

The friction of switching to an external chatbot may no longer be worthwhile for many once their existing tools can provide intelligent support. We see this across software - convenience and integration often win out over having the most robust standalone functionality. So, while ChatGPT isn't likely to disappear entirely, its usage could decline significantly as AI merges into existing workflows.

Then we have the security concerns, as OpenAI is still building user trust.
There’s the “blank page” problem: you might have difficulty getting started when you can ask someone everything and nothing. All my “prompt guides” are proof of this. (Based on the stats, you all love them.)

And even if you use the prompts I’ve provided, there’s still an extra tool to remember to use, and most people are stuck in how they do things at work. (Another problem for another time). If we have GenAI embedded into our tools, the blank page problem diminishes; we hopefully already know how to use the tools we have.

ChatGPT has been the new cool kid for quite a while now, but as we’ve clearly seen over the last couple of weeks, the other kids are adopting and getting new jeans.

Some argue that ChatGPT will continue to thrive because it offers more advanced conversational abilities than AI integrated into existing tools. Its independence from any single product is also seen as an advantage, allowing it to synthesize information across many domains.

However, companies like LinkedIn and Google have massive datasets and deep resources to pour into conversational AI development.

Over time, they may match or exceed ChatGPT's capabilities within their own products. For many basic assistance needs, having AI directly accessible inside tools you regularly use provides ample convenience.

So, while ChatGPT won't fade into obscurity overnight, it may gradually lose its novelty for many purposes as AI becomes a seamless part of our everyday workflows through the tools we already know and love.

I built my course on the hypothesis that there’s little to no need for a course about ChatGPT and HR because, eventually, ChatGPT will not be a thing - hence, the course is called Generative AI and HR to focus more on the principles behind the tool, but not the tool itself.

All the releases that have happened over the last weeks further strengthen my belief - that ChatGPT will die; long live ChatGPT (whose API will fuel many of the other tools…)

What are your thoughts?