Artificial intelligence is growing very fast, and experts believe the industry could record a CAGR of 35.9% each year from 2025 to 2030. This indicates that AI is becoming a significant part of our lives, particularly after OpenAI launched ChatGPT in November 2022, making the technology widely popular around the world.
Now that the early versions are behind us, many people are asking what the future of AI will look like. In this article, we will look at five important trends that could change the way we use AI over the next five years.
AI to Create New Jobs
AI technology has had its fair share of critics and supporters in equal measure. Most critics argue that this technology is a threat to human labour as businesses move to harness AI’s automation capabilities and cut costs. In fact, research by Statista reveals that AI could take away 83 million jobs in the next five years.
However, the World Economic Forum opines that AI could create 63 million new jobs. While that’s around 20 million jobs lost, it’s great to see that AI could create new jobs. AI can handle repetitive tasks like data entry and research, while giving rise to new professions. Expect to see more opportunities for professionals like AI trainers and compliance managers. It’s a win-win situation.
Agentic AI to Go Mainstream
Agentic AI is a system that operates autonomously, making independent decisions and actions. Put simply, they don’t need human intervention, unlike traditional systems such as Generative AI. It’s basically the most straightforward way of getting things done automatically. For example, an agentic AI sales tool can manage workflows and routine tasks, such as data scheduling and analysis.
Today, businesses are already rushing to embrace this technology and reduce the need for human intervention. Customer service could be one of the most affected areas, with a report by Gartner revealing that AI agents could resolve 80% of support issues by 2029. However, agentic AI is still a relatively new invention. Therefore, human oversight remains critical.
AI Hyper-Personalisation Everywhere
Personalisation is the art of tailoring products, services, or experiences to meet an individual’s specific needs. This technology has been here for some time, with platforms like YouTube and Netflix providing recommendations based on your viewing experience. In online gaming, casino sites can recommend slot games or even offer a no deposit casino bonus based on your playing style.
However, you haven’t seen anything yet with AI-powered personalisation coming to take that to the next level. This technology goes beyond traditional personalisation by analysing vast amounts of data. This may include customer preferences, behaviour, and history. In return, this could lead to highly tailored experiences for individual users.
According to statistics by BusinessDasher, 90% of marketers say personalisation has increased sales. The same report adds that seven out of 10 customers are likely to become repeat clients after receiving a tailored experience. With these statistics in mind, we don’t expect the hyper-personalisation trend to slow down any time soon.
Here’s a quick rundown of AI personalisation benefits:
- Tailored content leads to increased user satisfaction
- Personalisation can significantly save time for end-users
- Businesses and organisations can gain smarter insights through behaviour
- Loyalty grows when consumers feel the brand knows who they are
- Personalised content leads to increased brand trust and engagement
Acceleration of Quantum AI
Quantum computing has been on the lips of many tech enthusiasts for some time. This computational technology uses quantum mechanics to solve complex problems that a traditional computer wouldn’t solve. Unlike classical computers that use bits, quantum systems use qubits. This allows them to process multiple bits of data at the same time.
Quantum AI is a hybrid system of AI and quantum computers. These AI systems use quantum computing to accelerate Machine Learning processes and handle more complex tasks. Quantum AI could soon become indispensable in fields like medicine, research and finance. A study by Precedence Research expects this field to grow by a CAGR of 34.80% between 2025 and 2034.
Focus on Sustainable AI to Grow
Sustainability is a hot topic that often accompanies groundbreaking technologies. The rapid adoption of AI, especially Generative AI, is already negatively impacting the environment. A study on 88 AI models reveals that a single AI-generated photo consumes enough energy to charge 50% of your smartphone battery. Generating images is the most carbon-intensive AI-based activity.
In light of these damning revelations, environmentalists are already calling for a cautious approach. One of the recommended solutions is to reduce the energy and resources needed during AI training and development. Using renewable energy via green computing is another wise approach. Expect calls for green AI to get even louder in the coming years.
We could be staring at the next industrial revolution with AI at the centre of this change. AI systems are getting smarter, and the introduction of Quantum AI could see this technology hit new levels. However, it’s vital to get the right balance between the benefits and potential drawbacks, like sustainability and job losses. Still, we should look ahead with excitement and enthusiasm.