· AI · 4 min read
Autonomous AI Agents on the Horizon!
Autonomous AI agents are poised to revolutionize industries, enabling systems to take decisive actions without constant supervision. This shift empowers businesses of all sizes to leverage AI for highly personalized, productivity-boosting solutions.
Autonomous AI agents are just around the corner, which will be a game changer! 🤯
Let us place this into context of the evolution of AI. OpenAI’s, the company behind ChatGPT, AI progress is categorized into five levels; ranging from conversational AI to organization-level AI. The current achievement of Level 2 represents human-level problem-solving abilities, also known as “reasoners”. According to OpenAI we are now on the brink of Level 3. Level 3 means, systems will not only analyze information but also take decisive actions on our behalf.
OpenAI’s Five Levels of Artificial Intelligence:
- Chatbots - Engaging conversationalists that can handle basic interactions.
- Reasoners - AI that can tackle complex problems with human-like reasoning.
- Agents - Autonomous systems capable of executing tasks without constant supervision.
- Innovators - AI designed to assist in creative processes and invention.
- Organizations - AI that can perform the roles of entire organizations, streamlining operations like never before.
The significant improvements of chatbot intelligence and performance is now evident to anyone who has had to chat with a (Level 1) bank’s or travel company’s website chatbot for example. Historically these rigid chatbots had very limited responses or simply did not help. Remember thinking, “Can I please just speak to a human!’? From a customer point of view, that world is finally over! Today’s chatbots (Level 2), have shown incredible progress over the last year with several major leaps in between.
This exciting news of Level 3 AI capability means chatbots will become autonomous agents that can handle autonomous actions. This development has the markings to revolutionize various industries and our daily lives. As we progress through these levels, we will see AI evolve from innovation-assisting (Level 4) to potentially handling organization-wide tasks (Level 5).
At this moment in time, the large players, Microsoft, Google, Meta, Oracle, Amazon, etc are all integrating AI enhancements to their software and infrastructure to harness productivity gains and retain their customers who are benefiting from these improvements with already existing software, i.e. Microsoft 365 or Google AI on Android such as Google lens/translate. Legacy companies certainly have the advantage of scale, resources to innovate and distribution. What they lack is the granular view of a small or medium sized business (SME); seeing what is going on on the ground. AI enhancements for existing software is not the same as AI solutions from the ground up.
There has been a flurry of innovation and new startups specialising in harnessing AI leaps for better chatbots, data management such as filtering and analytics and muchmore. “Over the last 15 years the pace of task automation has been gradual until the exponential acceleration of Generative AI in late 2022. This monumental shift in the speed of innovation has made many businesses rethink the way business is done and the future of work”, shares Jarco, Hospitality expert and AI consultant, from his experience. He adds, “The cost of AI has also exponentially decreased over the same period and small businesses can now compete with large companies when it comes productivity gains through tech solutions”.
This means that companies are not limited anymore by scale and size to implement cost effective custom tech solutions that have to date been at the reach of larger firms due to their high ticket costs. Sure, smaller SAAS (Software as a Service) companies have filled the niche of SME’s looking for more specialised IT products at low cost. Often, SAAS products and companies offering them have also to consider their IT development cost and can only personalise to a certain degree, and still cater the same SAAS solution to a larger number of companies.
AI has changed this narrative. It is now possible through expertise in AI frameworks and models to create highly personalised tools without needing to please the many. ‘One customer, one tailored solution’ is the motto of one startup filling that niche “At PeoplefAI we help leaders, teams and ultimately enterprises tailor AI advancements to the best use cases in their very specific business operation”, highlights Rolf, Tech Lead and cofounder by PeoplefAI. He continues, “Our startup has been at the core of AI development, fueled by our passion for innovating and simplifying work. The opportunity for AI use cases is plenty as we have experienced in our corporate and later entrepreneurial life, driving digital transformation and productivity gains”.
No longer do painfully monotonous administrative tasks need to be part of white collar job’s description. Do we still need a human to get the job done? Yes! But do we need someone to do it as it has always been, done? Thankfully, no more. Work can be more productive and more fun!