83,000,000,000+ GEN AI CREATIONS AS OF Q3 2023

INTRODUCTION

Since our last installment we’ve seen Generative AI continue its progression to mainstream, increased funding to AI companies and a clearer path to monetization emerge. Based on your requests and with new developments affecting AI almost daily we’ve decided to change the format of The “i” so we can address the developments not just quarterly, but on a week to week basis. You will see updates on our favorite social platforms regularly and then receive a quarterly wrap up as a newsletter. We hope you like this new format and frequency.

As generative AI becomes more prevalent, we continue to see significant shifts in how each of the use cases will be potentially impacted by regulation and how our workplace may change. Let’s start by analyzing the movement in the Generative AI Quadrant and provide some context to what we have seen in the past few months.

In the back half of 2023 thus far, we’ve seen a major step forward in chatbots and LLMs progressing to mainstream usage. ChapGPT is quickly becoming commonplace in the lexicon. As investment in the technology becomes more prevalent and consumer adoption continues to grow, the mainstream nature of the technology is becoming more and more clear.

Animation pipelines has appeared as a separate opportunity in our quadrant this installment having demonstrated a newfound focus on a generative path of its own when it comes to producing and monetizing IP.

Technical, business and story writing is becoming a fairly well understood use case but continues to have challenges. Job replacement, identification of AI usage and general accuracy in professional and education settings still leave some weary of going all-in on the technology. President Biden’s executive order that was announced in October highlights how uneasy AI makes people feel in the workplace and how our leaders are struggling to wrap their arms around it.

With all of these creative use cases blossoming protection remains one of the most important concepts in generative AI but few have enacted ways to ensure it.

Identifying and implementing authenticated approaches to generative AI will be an important way for many to become more engaged in the space.

Metaverse related generative technologies have continued to take a step backwards. Things like AR/VR, avatar creation and NFTs are struggling to keep up with the faster growth of other areas. They are still feeling the sting of a crypto downturn that drove a large part of their original popularity. 

Deepfakes, a beneficiary of the crypto lull, has continued to become more commonplace as the compute that was being used on crypto is being deferred to deepfake use cases. We are seeing this become top of mind as politicians and celebrities alike fear being taken advantage of by bad actors in the space.

As we continue to see a varied timetable on each use case’s progression to mainstream implementation, we are witnessing the emergence of a standardized approach on how enterprises and IP owners are implementing Generative AI. Next time on The “i” we will discuss the phases in which this standardization is happening.