1.2. Will your industry experience any impact? #

Every industry will experience generative AI’s impact. The only question is how much.

Obvious examples include industries like marketing, which could use generative AI for creating ad copy, social media posts, or even for strategy planning. In the legal industry, AI could help in drafting legal documents or contracts based on a set of user-defined parameters. This would speed up many administrative tasks, allowing lawyers to devote more time to complex legal issues. In HR, AI could assist in the initial stages of candidate screening by generating interview questions based on the specific needs and culture of the company, or even by assessing the suitability of applicants through automated analysis of resumes and cover letters.

What might this actually look like in a real-world scenario? Let’s walk through a brief case study to visualize some concrete effects.

The gaming industry stands to gain significantly from generative AI, too. We can think of an extreme example: a game that’s entirely customized for each player’s unique experience, generating assets on-the-spot. This could involve creating a personalized narrative, textures, and dialogue based on the player’s decisions, thereby offering a completely non-linear gaming experience. However, it’s probably safe to say that we’re still many, many years away from being able to pull something like this off on a AAA scale.

But what about indie games? Take Jussi Kemppainen from Dinosaurs Are Better as an example. He’s single-handedly developing an entire adventure game, using AI assistance in all aspects of game design, ranging from character creation to coding, dialogue crafting to graphic design.

Let’s consider another application.

Imagine a detective game where you play as a police investigator trying to solve a murder. Your task is to interview numerous witnesses and suspects to discover the true culprit. Each character you interact with would be powered by a sophisticated model, each embodying a specific persona. These personas would have two stories: the one they willingly share with investigators, and the hidden truth that they’d prefer to keep secret for various reasons. As the player, your goal would be to interrogate each persona, gradually unraveling the truth to identify the real offender. To add an extra layer of complexity, we could introduce a judge persona. Instead of merely choosing who they think is guilty, players would need to build and present a compelling case to the judge, effectively discouraging random guesswork.

The user interface for such a game could be as simple as a chat window, with the main gameplay focusing primarily on dialogue-based interaction. I believe it’s feasible to create a prototype of such a game with our current technology. This could serve as a powerful proof of concept for the kind of non-linear, immersive experiences generative AI could eventually enable in the gaming world.

I trust these examples will ignite your imagination, inspiring you to consider how these AI models could reshape your field—even right now, let alone what they might achieve in the next five to ten years.