2023 Tech Predictions according to Artificial Intelligence

As technology continues to advance at an exponential rate, it's natural to wonder what the future holds. Many people turn to artificial intelligence (AI) for predictions on what's to come, but are these forecasts reliable? In this article, we put AI predictions to the test by asking ChatGPT to make 23 technology predictions for 2023. The results may surprise you – while the predictions are intriguing, they are often too generic to be actionable. Read on to see for yourself the limitations of relying on AI for future technology predictions.

Predictions are a silly business : you either make completely obvious claims, or you end up being dead wrong before the year is over. I’ve always opted for the latter, as my 2022, 2021, 2020, 2019 and 2018 tech predictions prove.

But, every year, companies and influencers alike insist on going the easy way. They make the most blend “predictions”, based on already well-pronounced trends. So much so in fact, that all these predictions start to feel… robotic.

And I can prove it. Below are ChatGPT’s "23 Tech predictions for 2023". They’re not wrong, but they should feel very familiar; not because AIs are particularly scary, but because humans are a very… predictable bunch.

"ChatGPT, make 23 tech predictions for 2023"

Artificial intelligence (AI) and machine learning will continue to advance, leading to the development of more advanced and sophisticated algorithms.
The adoption of 5G networks will continue to increase, leading to faster and more reliable connectivity for a wide range of devices and applications.
Augmented reality (AR) and virtual reality (VR) technologies will continue to improve and become more widespread, with applications in areas such as entertainment, gaming, education, and training.
The use of blockchain technology will continue to expand, with applications in areas such as supply chain management, financial transactions, and data security.
The Internet of Things (IoT) will continue to grow, leading to the development of more connected devices and systems.
Cybersecurity measures will continue to evolve to keep up with the increasing sophistication of cyber threats.
Advances in robotics and automation will lead to the development of more advanced and capable robots and automation systems.
The use of biometric technologies, such as facial recognition and fingerprint scanning, will continue to expand.
3D printing technology will continue to advance, leading to the development of more complex and sophisticated printed products.
Wearable technology, such as smartwatches and fitness trackers, will continue to improve and become more prevalent.
The use of drones for commercial and personal purposes will continue to grow.
The development of new materials, such as graphene and advanced polymers, will lead to the creation of new and innovative products.
The use of renewable energy sources, such as solar and wind power, will continue to increase.
The development of new technologies for capturing and storing carbon emissions will continue to be a focus in the fight against climate change.
The use of gene editing technologies, such as CRISPR, will continue to advance and expand.
The use of quantum computing will continue to grow, leading to the development of more powerful and advanced computing systems.
The use of natural language processing (NLP) will continue to improve, leading to the development of more advanced and sophisticated language-based technologies.
The development of new technologies for space exploration and colonization will continue to progress.
The use of nanotechnology will continue to expand, leading to the development of new and innovative products and materials.
The use of virtual assistants, such as smart speakers and voice-activated devices, will continue to grow.
The use of sensors and monitoring technologies will continue to expand, leading to the development of more advanced and sophisticated systems for data collection and analysis.
The use of 3D sensing technologies, such as depth sensing and motion tracking, will continue to grow.
The use of digital twins, virtual models of physical systems and processes, will continue to expand and become more widespread.