Artificial intelligence is arguably the most disruptive technology to emerge since the invention of the first smartphone. Already, it’s revolutionized multiple industries, automating repetitive manual work and providing invaluable insights to decision-makers. That’s not even the most exciting thing about the technology, either.
What’s most exhilarating about AI is the fact that as many have pointed out, this is the worst AI will ever be — it will continue growing exponentially more helpful and effective for the foreseeable future.
But what does this mean for learning and development? After all, it’s no secret that education in 2023 is completely different from what it was even as far back as 2021. While the global shift to hybrid learning certainly played a part in that change, artificial intelligence has proved equally influential.
Let’s see if we can answer that question, starting with an examination of the current AI-driven learning, development and training landscape.
We’ve already talked a great deal about how SaaS organizations can use artificial intelligence to improve their training processes, advance customer education, and enhance both customer success and sales enablement. Even with all that, we’ve barely scratched the surface. The simple truth is that artificial intelligence has completely changed the business landscape, and even now continues to do so in ways that few can predict.
Unfortunately, as is the case with any new technology, there’s no shortage of decision-makers that don’t know how artificial intelligence actually works. Rather than develop a realistic idea of the technology’s strengths and weaknesses, they treat it as a silver bullet. As a result, they end up misusing artificial intelligence in a multitude of ways, attempting to replace human workers or expecting AI to make sound decisions with no human oversight.
These use cases are built on empty hype. In the long term, they’ll ultimately amount to little more than wasted time and revenue. They won’t realize the true benefits of artificial intelligence, which in learning and development include:
As you can see, there are many ways AI can improve your training, regardless of whether your focus is onboarding new customers, certifying partners or helping employees acquire new skills. Based on the above, you might find it curious that many learning and development leaders are still hesitant to adopt the technology. As it turns out, they have very good reason to be.
Artificial intelligence inarguably has the potential to completely revolutionize how we learn and train. However, the technology is far from perfect, and it’s not without its roadblocks. These include:
Many of the challenges described above stem from a combination of inexperience and carelessness. Teaching yourself about the technology and its shortcomings represents an excellent first step in successfully implementing AI into your training processes. Always stay realistic about the strengths and shortcomings of any AI tool you evaluate.
Beyond that, prompt engineering represents one of the most effective skills to develop. By teaching yourself how to write more effective prompts, you’ll be able to exert a great deal more control over the output of tools like ChatGPT. Finally, you’d do well to familiarize yourself with some of the more common AI tools used in education:
Artificial intelligence is by no means a silver bullet. It won’t solve all your training challenges. But if you approach the technology with an understanding of what it can and cannot do and integrate it properly, it can and will improve the way you deliver your training — no matter that training’s purpose.
If you’re interested in learning more about how to incorporate artificial intelligence into your business processes, we’d recommend checking out our webinar The Six Disciplines for Using Artificial Intelligence in Customer Education.