Artificial intelligence. Deep tech innovation is now something that is populating the mainstream. Over the last 12 months, we have heard more about AI in the news than ever before. No longer confined to movies and books, we are seeing how AI works in the real world and can be applied to the everyday. And with applications such as ChatGPT causing such a stir it has found itself with a $10 billion investment from Microsoft, it is time to see how AI is affecting the tech world.
AI is more than the gimmick of asking it to produce an image of a dog dressed up as a Victorian painted in the style of Picasso. It takes on short and long-form tasks based on continuous data analysis to produce an acceptable outcome. AI has been quietly infiltrating our everyday lives.
Here are some examples of AI that you may not have realised:
AI powers Netflix's suggestions to recommend new shows and movies.
Google Maps uses AI to create suggested routes to your chosen destination.
Amazon's Alexa uses AI to convert conversational data into recommendations when you are visiting its website.
AI in the tech industry
The AI applications now available have improved significantly over the last few years, and this is affecting the tech industry itself.
New software and AI-powered tools are snowballing. This means that some specific tasks are more accessible than ever with an application's help. Things like text and image generators continually producing better results could significantly impact tech creatives as graphics, reports, and an AI could produce written content.
Significant funding is being poured into AI companies. AI pulled some of the highest levels of investment in Europe in 2022. However, it is no longer just VC funding looking at deep tech innovation. When we consider Microsofts $ 10 billion investment in ChatGPT came at the same period as they announced 10,000 job cuts, the tech industry is now looking to see what else AI may be used for.
Technologies like IBM are working on customer-facing AI. Working to make robot voices sound more human for better interaction. With this and other investments, it is understandable that some would be concerned an AI alternative could replace them.
The future for AI
While AI continues to transform every industry it is implemented into, further developments are still needed. Bias issues continue to dominate AI-generated text and other applications AI can be used for.
As with all things that begin to dominate, the need for governance around plagiarism, the rights of art and content, and how much of a human replacement AI can be within a workplace.
There will continue to be investments in AI. As a Deep Tech innovation, it has broken into the mainstream. While its applications seem endless, it is still too early to understand the full benefits and impact that adopting AI will have on society at large.
One thing for sure is the need for AI technical staff could grow far beyond the AI applications and into the businesses of those implementing it. A new wave of technology specialists could be needed sooner rather than later.