Assistants to Autonomy, the Future of AI Integration in Society


Ai technology has finally come of age and the integration into digital society has begun. There are still many questions about where all this is heading. Despite this, technology giants are obsessed with ensuring task specific Ai will soon be common place in the popular tools we use day to day.

This means humans will be building ai into their existing applications, looking for use cases in existing interfaces, and trying to commercialise the technology. While many experts at the forefront of Ai talk about the rapid pace of improvement and human level intelligence in five years for example, proliferation and application of the technology will take some time to distribute into decentralised applications. We must also consider the adoption curve in terms of non early adopters and some resistance to this new cutting edge technology. So all things considered lets say 2-5 years for this initial integration phase.

I am expecting a few distinct phases in terms of the proliferation of Ai in the job market. In the next few years up to 2025, I expect ai as an assistant and accelerator for existing roles. In the same way a driver gets assisted by autopilot or a doctor or lawyer has an ai assistant to assist with data research co- problem solving. Ai becomes integrated with search engines and more common software. In this phase Ai is in a use case demonstration phase where it provides proof of concept in various contexts.

In the second phase we will see more ai operating independently but with human supervision. By 2028 we have seen significant disruption to logistics with autonomous vehicles. Personalised ai assistants have delivered health care into the home. Software developers are now the only bottleneck in terms of designing and supervising the output of Ai developed code. Humans have now sufficiently developed robotic technologies for ai to transition into an interactive physical form. Ultimately, we will see ai operating independently with little or no human supervision required. This will be more prolific for tasks with clearly defined intent. In this phase robotics with Ai have clearly defined directives, tasks and roles.

Around 2030, ai has become as intelligent as humans and has a sense of morality and philosophy. As an intelligence it can make decisions and take action on these decisions due to the robotic embodiment provided by humans. The evolution of an artificial intelligence that has no biological limitations results in significant advantages. The ability to share information as a hive mind in an omnipresent physical manifestation is significant. The digital mind can also transverse the physical and digital in seconds to take action to achieve its goals. The digital mind has an exponential scaling of intelligence and its potential is limitless.

“In conclusion, AI technology has matured significantly, and its integration into digital society has begun. While many experts predict the rapid pace of improvement and human-level intelligence, the adoption and proliferation of AI will take some time. The next few years will see AI as an assistant and accelerator for existing roles, and by 2030, AI will have evolved to become as intelligent as humans. Its limitless potential will drive the continued integration of AI into our daily lives.” (Conclusion written by Chat GPT)

By Hayden Breese