Artificial Intelligence (AI) was initially confused with RPA (Robotic Process Automation), which focused on automating repetitive tasks. RPA was essentially rule-based, handling processes like data entry, invoice processing, or customer service inquiries. It wasn’t “smart” in the way AI is today—it followed strict, predefined commands.

Back in 2000s, RPA was the closest thing to AI that many companies were implementing. It made work faster but didn’t involve any decision-making or learning. Think about early chatbots or even Microsoft Clippy Assistant. These tools could execute commands but couldn’t “learn” from their interactions.

The global AI market was already worth more than US$150 billion by the end of 2023. According to one of the reports, the global AI market will reach US$1350 billion by 2030, and this upward journey surely begins from 2024. The idea of this icon 👽 might have set the tone of my predictions for this year. Trust me, we are going to witness unimaginable AI implementations in 2024. The breakthroughs of Generative AI in 2023 has setup a dramatic momentum for 2024, and our expectations have risen to a next level. Everyone is waiting for the “Aliens” to appear this year, I mean not literally, but I guess you understand the sentiments.

Before I start, there are pretty obvious things which are going to happen in 2024, like OpenAI‘s GPT-5 will be launched, Generative AI will become a technology risking most jobs by any tech-disruption, and on contrary setting up stage for people with plethora of opportunity in new job-roles — like prompting efficiently. And the start of the year will face a dramatic AI startup-stress because of the business models that are too much affected by OpenAI’s release of add-ons.

“It has become appallingly obvious that our technology has exceeded our humanity” — Albert Einstein

I am very optimistic about this year, but at the same time I am cognizant of the fact that this year is also going to daunt us a lot. And its because we haven’t yet lifted ourselves to the maturity which this technology demands, and I am specifically concerned with the pace of Generative AI’s access to common people in its raw form. So to start with, the table of contents below should clear how I am picturing this for the year 2024.

Its amazing to see how AI adoption happened in the year 2023. With all the Generative AI use cases and new products, last year felt like evolving at an unprecedented speed. Reading through all the stories and posts by AI Influencers, Entrepreneurs, Domain Experts, and literally “Common People“, was so overwhelming. I would call the year 2023, an year of defining the new AI tech-disruption of this decade…