The speed at which artificial intelligence (AI) develops and integrates into our lives is set to increase in 2024.
As companies learn to unlock its potential, individuals use it to increase productivity, and legislators scratch their heads over over-regulating it, AI will become increasingly ubiquitous in everything we do.
Hopefully, in 2024 we will move towards solving some of the complex issues related to this technology. Although barriers to entry have decreased in recent years due to cost and ease of use, issues of trust, bias, access, and regulation still exist.
Focusing on solving these problems can put us on the path to unlocking AI’s full potential as we head into the second half of the decade.
beyond words and pictures
The next generation of generic AI tools will arrive in 2023, far beyond the chatbots and image generators that have amazed and sometimes frightened us. Generic video and music creators are already appearing, and they will become more powerful and user-friendly. We’ll start to see them embedded in creative platforms and productivity tools, as we’ve seen with ChatGPIT technology this year. New and exciting applications will emerge, such as generative design tools and voice synthesizers. Being able to tell the difference between real and computer-generated will become an increasingly valuable tool in the important skills toolbox!
AI has the potential to be so disruptive that it is essential that it is developed and used in a responsible manner so that its potential to cause harm is minimized. We already know some of the dangerous factors – bias, lack of transparency, the potential to displace human jobs and our inability to say with 100 percent certainty that this is ever going to get out of control. In 2024, we will see a continued focus on reducing these problems and being alert to new problems. The demand for AI ethicists will grow rapidly as businesses look to demonstrate that they are following ethical standards and deploying appropriate safeguards.
AI in customer service
Customer service can be an area of business operations where many routine, repetitive processes involve sometimes deeply complex and important tasks. This makes it an ideal testing ground for integrating AI into processes, automating mundane things to free up human time for issues that require the human touch. AI can be used to triage initial contact calls, generate personalized solutions to common problems, and generate reports and summaries of customer interactions. A Boston Consulting Group survey found that 95 percent of customer service leaders expect their customers to be served by AI bots at some point in the next three years.
Understanding how we can enhance our human intelligence and capabilities to perform our tasks faster, more efficiently, and more safely will be a critical workplace skill in 2024. If you are a legal eagle, this will help you quickly summarize relevant case law or speed up the drafting of contracts. Doctors will use it to help write patient notes or medical pictures. Coders will use it to speed up writing software and test and debug their output. If you’re a student, it can help you organize notes and research, and if you’re unemployed, it will help you write your CV and draft cover letters.
This year, everyone was rushing to build generative AI functions into their software and applications. From search engines like Bing and Google to productivity tools like Office, social apps like Snapchat, and industry-specific platforms like Expedia (travel) and Coursera (education), adding chatbot functionality is an effective strategy to inspire the next generation of customers. Is emerging as. Experience. Service providers may be delaying due to uncertainty over data security and customer privacy issues, but these should begin to be resolved as AI providers adapt their services to meet market requirements. An example of this is Adobe’s integration of generative AI into its Firefly design tool, trained entirely on proprietary data, to reduce fears that copyright and ownership could be an issue in the future.
Low-code and no-code software engineering
In 2019, Gartner predicted that 65 percent of application development would be done with low-code/no-code tools by 2024. This may very well prove to be true, as generic AI tools like ChatGPT allow anyone to build and test applications. In a few minutes. Although I don’t think coding and software engineering jobs will disappear in 2024 (after all, someone needs to build AI tools in the first place), there will be plenty of exciting opportunities for people who have good ideas and a passion for creating solutions. Problems, but not necessarily hard technical skills.
If you want to work in AI but don’t want to become a computer scientist, there’s good news – there are plenty of new job opportunities opening up in 2024 that may be a good fit for you. As well as the engineers and technicians needed to build systems, we’ll see opportunities for roles like accelerated engineers, who create instructions to tell AI applications what to do, and AI managers, who oversee teams of virtual workers. We do. There will also be a growing need for AI project managers, trainers, and ethicists. On the other hand, if you are a techie, there will be a lot of new jobs for you in areas like AI engineering and DevOps.
Perhaps this isn’t a trend that will hit everyone right away. But quantum computing – capable of massively accelerating some computation-heavy computation workloads – is increasingly finding applications in AI. Quantum algorithms process data using qubits that exist in more than one state at a time, unlike traditional computer bits that can only be 1 or 0. This is one of the characteristics that makes them far more efficient than classical algorithms for problems. Like optimization – determining the best combinations of many different variables – that’s what machine learning typically deals with. Through 2024, I expect to see even more progress in applying quantum computing to power larger and more complex neural networks and algorithms.
Upskilling for AI revolution
These days it is often said that AI will not take away jobs, but that people who use AI will take jobs from those who do not use it. If you want to get ahead, understanding how AI impacts your job or profession and developing the ability to match it to the right tool for the task is a super-smart idea. Forward-looking employers will want to assist their workforce in this transformation by integrating AI skills into education and training programs. If yours doesn’t, there are a large number of resources online, many of them free. So dig deeper and you’ll be able to find a better employer in no time!
Lawmakers have never been good at keeping up with technology, but the clearly game-changing nature of AI is making them start to sit up and take notice. Some laws already exist in China – including laws prohibiting the production of deepfakes without consent. And jurisdictions, including the EU, US and India, are developing their own sets of rules. The UK has proposed a bill that would potentially come into force in 2024, and an EU Act is predicted to come into force by early 2025. Each piece of legislation will try to strike a balance between protecting citizens from the negative impacts of AI. For example, on jobs and privacy, and on enabling innovation and commerce. The debate over where the lines are drawn is likely to be a major element of political discourse during 2024.
Read more about these topics in my book, The Internet of the Future: How the Metaverse, Web 3.0 and Blockchain Will Change Business and Society and ‘Business Trends in Practice’, which won the 2022 Business Book of the Year award. And don’t forget to subscribe to my newsletter and follow me x (Twitter), LinkedIn and YouTube for more information on future trends in business and technology.