> Markdown version of [/magazine/164-latest-technology-trends-2023-8-new-inventions-that-will-change-the-world](https://www.wearedevelopers.com/magazine/164-latest-technology-trends-2023-8-new-inventions-that-will-change-the-world). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Latest Technology Trends 2023: 8 New Inventions That Will Change The World **By:** Adrien Book **Published:** February 11, 2023 In 2020, I wrote an article titled “[_The Next Big Thing_](https://www.thepourquoipas.com/post/the-next-big-thing-in-technology-20-inventions)_” in Technology: 20 inventions that will change the world_”. It has since been read over 100,000 times and shared more than 5,000 times on social media. But anyone reading it today will notice that what was written _then_ is _now_ obsolete. An update is necessary, highlighting the key technologies emerging today that will be all the rage by 2030 (or 2028… or 2032…). These time-frames should be taken with a grain of salt: [predictions are wrong](https://www.wired.com/story/long-boom-predictions-wired/?) more often than not, especially when it comes to technology (_check my_ [_2023 tech predictions_](https://www.thepourquoipas.com/post/23-technology-predictions-for-2023) _if you don’t believe me_). That’s because we tend to use history, which is at its heart the study of surprises, as a guide to the future. This should however not stop us from aiming to better understand the future. Firstly, because the knowledge gained through planning is crucial to the selection of appropriate actions as future events unfold. Secondly… if you [don’t make predictions](https://en.wikipedia.org/wiki/Unexpected_hanging_paradox), you’ll never know what to be surprised by! With this in mind, here are eleven inventions that will change the world in the next few years. **RELATED:** [**17 Highest Paying jobs for the future [2040]**](/magazine/312-17-highest-paying-jobs-for-the-future-2040) ## 1. Commercial nuclear fusion power Nuclear fusion, in its most common form, is the process of energy being released when bits (“_atomic nuclei”, if you’re fancy_) of hydrogen are exposed to extreme heat and combined. This process releases massive amounts of energy, which humanity is increasingly hungry for. That’s how the sun works too, by the way. https://www.youtube.com/embed/EOntQu597-8 The importance of nuclear fusion lies in earth’s near-unlimited hydrogen supply, which can be extracted from water, and the fact that its only by-product is harmless helium. Fusion reactors are also safer than fission reactors, as they do not create any long-lived radioactive nuclear waste. If implemented, commercial nuclear fusion power would provide cheap utility-scale energy with very little environmental impact and improve energy availability and security. Several countries have heavily invested in fusion research, and private companies are also conducting their own trials. The [ITER reactor](https://www.iter.org/), which is under construction in France and due to begin operation in 2026, is the first reactor that should produce energy-positive fusion; [but dozens of others are being built](https://www.ief.org/news/how-close-are-we-to-unlocking-the-limitless-energy-of-nuclear-fusion#:~:text=Since%20the%20concept%20of%20nuclear,long%20enough%20make%20fusion%20happen.). However, fusion research is slow and capital-intensive. The technology’s biggest issue is that rectors currently need to create temperatures hotter than those found on the sun to start the fusion reaction. Doing so requires more energy than what the reaction produces. Despite [recent advances](https://www.energy.gov/articles/doe-national-laboratory-makes-history-achieving-fusion-ignition), commercial operation of fusion power is still uncertain and likely more than a decade away. _You can read more on commercial nuclear fusion power at the_ [_International Atomic Energy Agency_](https://www.iaea.org/newscenter/news/what-is-nuclear-fusion)_._ ## 2. Robot knowledge sharing Whether they are [in factories](https://www.google.com/search?q=robots+in+factories&rlz=1C1ONGR_frFR936FR936&sxsrf=ALiCzsYbmet6Z-9NfZrSTjAFn5m6HQ27EQ:1672409066551&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjvw9KiwaH8AhUnMewKHVl6DFMQ_AUoAXoECAEQAw&biw=1536&bih=746&dpr=1.25), [in warehouses](https://www.google.com/search?q=robots+in+warehouses&tbm=isch&ved=2ahUKEwif2PajwaH8AhWJgCcCHVJFBqIQ2-cCegQIABAA&oq=robots+in+warehouses&gs_lcp=CgNpbWcQAzIFCAAQgAQyBQgAEIAEMgYIABAFEB4yBggAEAUQHjIGCAAQCBAeMgYIABAIEB46BAgjECc6BggAEAcQHjoHCAAQgAQQGFCkBViEEGD2EGgAcAB4AIABeogBggeSAQM5LjGYAQCgAQGqAQtnd3Mtd2l6LWltZ8ABAQ&sclient=img&ei=7e-uY9-tDomBnsEP0oqZkAo&bih=746&biw=1536&rlz=1C1ONGR_frFR936FR936), [at home](https://www.goodhousekeeping.com/electronics/g39520256/best-home-robot/), or [on the street](https://www.twi-global.com/technical-knowledge/faqs/what-is-an-autonomous-vehicle), robots are impressive… yet profoundly stupid. They work well in highly controlled environments, but every new situation stumps and/or breaks them, which tends to be very expensive. “_Robot knowledge sharing_” technology changes that. Researchers pushing the concept forward aim to create a standardised way for robots to share information with each other. That information would be gathered through trial and error (aka reinforcement learning), which we know to be [an efficient way for AIs to learn](https://en.wikipedia.org/wiki/Reinforcement_learning). It could take many forms, from the simple knowledge that an obstacle has appeared on a road, to the ability to grab a complex shape. Efficiency will go up exponentially, and costs will decrease at breakneck speed. ![](https://wearedevelopers.imgix.net/public/magazine/articles/164/images/63e1b8b4a71b6b3047e71f30_robot.png?w=720&fit=max&dpr=2&auto=format) _I made this, pls clap_ ‍ Once the genie is out of the bottle, we will not be able to put it back. But let’s hold the Terminator talks for 2040: hardware, sensors, ML processes, data configuration… much needs to be standardised before the concept works. All the big players will want _their_ way to be the _right_ way, and nothing may get done. At the end of the day, it may be humanity’s inability to agree on anything that saves it. - _More on Robot Knowledge Sharing from the_ [_University of Southern California_](https://robotics.usc.edu/publications/media/uploads/pubs/683.pdf)_._ ## 3. DAOs Let me tell you about the future of work. You will work on something you love, without interviewing. You will work for numerous employers, all of which will pay you based on a contract you did not sign. You will compete for rewards with colleagues you don’t know, but you’ll see everything they do. You will get a say on your organization’s strategy, but so will all your customers. You’ll be remote, global, and always “on”. Sounds like a dream? You’re right. A nightmare? Right again. Welcome to the world of Decentralized Autonomous Organisations. According to the technology’s (or is it a concept?) many fans, DAOs are how humans will soon come together as a group to make decisions in the digital world. They will do so with the help of two key tools. Firstly, the rules governing organisations will be expressed as a series of “IF/THEN” statements coded directly into a blockchain, rendering them both auditable and permanent. Secondly, voting shares will be issued to stakeholders in the form of “digital governance tokens” — also recorded on a blockchain. Doing things this way replaces, in theory, both the legal mumbo-jumbo of today’s organisations (as rules are coded) and their hierarchical nature (as every stakeholder has a voice). Technically, all sorts of work structures can be created as Decentralised Autonomous Organisations. Investment companies, consulting companies, engineering companies, etc. But that’s just the theory; the reality is more complex. As of [may 2023](https://www.ey.com/en_gl/tax/how-to-navigate-tax-and-legal-complexity-associated-with-daos#:~:text=There%20are%20currently%20about%2013%2C000,b%2C%20as%20of%20May%202023.), there are only about 13,000 DAOs in existence, with a combined total treasury (invested funds and liquid assets) of nearly US$23b. That’s nothing… for now. - **RELATED:** [**How to Create a DAO: A Simple 6-Step Process**](/magazine/169-how-to-create-a-dao-a-simple-6-step-process)_‍_ - _More on Decentralised Autonomous Organisations from_ [_The Pourquoi Pas_](https://www.thepourquoipas.com/post/whats-a-dao-cryptos-latest-craze)_._ ## 4. Digital Twin of a customer Have you ever wanted, like, the most boring crystal ball ever? Want no more: companies are building just that by using AI to create [digital twins](https://www.youtube.com/watch?v=iVS-AuSjpOQ) of customers. They will be able to predict the future… but only the part where you decide which brand of toilet paper you’ll buy. If that feels like a Balzac [premise](https://en.wikipedia.org/wiki/La_Peau_de_chagrin), trust your instincts. With enough data (purchase history, browsing history, social media profiles, geo-localisation, social connections…) and dynamic algorithms, it is now easy to create capitalistic digital replicas of specific persons or personas. These replicas would not only be able to help companies understand and predict behaviors, but also cheaply test how changes in purchasing environments would affect customer decisions. As markets become tighter and the cost of borrowing [more expensive](https://www.statista.com/chart/21023/us-federal-funds-target-rate/), companies have little margin of error when it comes to products, services, promotions, marketing campaigns… Being able to play with categories of customers as we once played [The Sims](https://www.buzzfeed.com/shelbyheinrich/sims-cruel-reddit) will no doubt reduce the cost of failures and maximise stockholder profits. That’s the whole point, right? Digital Twins are already being tested and will no doubt be accurate at the personas / customer category level. Things are however likely to be different for individuals : we may finally be wary enough of having our data harvested for manipulative purposes that [granular tracking is becoming harder](https://support.apple.com/en-us/HT212025). Companies looking to create Digital Twins will need to establish trust in their process and use of the technology. And even then… how could they predict the unpredictable (_2020, anyone_)? - _Read more on Customer Digital Twins at_ [_Absolute Data_](https://www.absolutdata.com/blog/why-scaling-customer-driven-marketing-requires-digital-twins-absolutdata/) ## 5. 6G Just 3 years ago, I was writing [about 5G](https://medium.com/p/303e000456e9) and the numerous industries it would transform: IoT, self-driving, entertainment… and we’re far from being done experimenting with it. And yet, it’s already time to look to the future of internet service: 6G. The good news for me is that 6G’s features are not yet fully agreed on. I can describe what I hope it will be able to do and complain later when I’m inevitably disappointed. In this case, “later” may be a while away: though design and research has already begun, [6G commercialisation](https://indianexpress.com/article/technology/tech-news-technology/6g-will-be-here-by-2030-but-you-probably-wont-be-using-your-smartphone-then-nokia-ceo-7943432/) won’t be before 2030. This follows the telecom industry’s familiar pattern of adding a new generation every 10 years. In the meantime, here’s what we do know: the technology will go above and beyond 5G with regards to providing higher peak data rate, lower latency, much more connection density, and energy efficiency. Whether the jump will be as significant as 4G to 5G was is still to be seen, though. Most experts agree that AI will be a key component of the technology, as will secrecy, security, and privacy. What will be fully different from 5G is the government’s implication in its design: the [Korean](https://www.msit.go.kr/eng/bbs/view.do?sCode=eng&mId=4&mPid=2&pageIndex=18&bbsSeqNo=42&nttSeqNo=517&searchOpt=ALL&searchTxt=), [Japanese](https://b5g.jp/en/), and [American](https://www.nextgalliance.org/white_papers/roadmap-to-6g/) governments _already_ intend to have a say in the future infrastructure of their country. Whether that’s a net positive for privacy is yet to be seen… _Read more about 6G_ [_Wikipedia_](https://en.wikipedia.org/wiki/6G_%28network%29) ## 6. 4D printing The name 4D printing can lead to confusion: I am not implying that humanity will be able to create and access another dimension. Put simply, a 4D-printed product is a 3D-printed object which can change properties when a specific stimulus is applied (submerged underwater, heated, shaken, not stirred…). The 4th Dimension is therefore Smart Materials. The key challenge of this technology is obviously finding the relevant “smart material” for all types of uses (namely a hydrogel or a shape memory polymer for the time being). Some work is being done in this space, but we’re not close to being customer-ready, having yet to master reversible changes of certain materials. The applications are still being discussed, but some very promising industries include healthcare (pills that activate only if the body reaches a certain temperature), fashion (clothes that become tighter in cold temperatures or shoes that improve grip under wet conditions), and homemaking (furniture that becomes rigid under a certain stimulus). Another cool use case is computational folding, wherein objects larger than printers can be printed as only one part. - _Read more about 4D printing on_ [_Sculpteo_](https://www.sculpteo.com/en/3d-learning-hub/best-articles-about-3d-printing/4d-printing-technology/) ## 7. Generative design AI Generative AI technology uses deep learning to generate _creative_ assets such as [videos](https://zapier.com/blog/best-ai-video-generator/), [images](https://zapier.com/blog/best-ai-image-generator/), [text](https://zapier.com/blog/ai-text-generator/) and [music](https://www.unite.ai/best-ai-music-generators/). This technology is no longer new since it entered the mainstream in late 2022. While you may have played with (and enjoyed!) the likes of [ChatGPT](https://chat.openai.com/chat) and [Midjourney](https://www.midjourney.com/app/), they’re barely more than surface-level distractions. ![](https://wearedevelopers.imgix.net/public/magazine/articles/164/images/652e47d742861fcf2456bd53_tom_cruise_on_a_t_rex.png?w=720&fit=max&dpr=2&auto=format) _Tom Cruise riding a t-rex in Hogwarts_ Corporate use for generative AI is far more sophisticated. If used to its full extent, it will [reduce product-development life cycle time](https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Operations/Our%20Insights/How%20generative%20design%20could%20reshape%20the%20future%20of%20product%20development/How-generative-design-could-reshape-the-future-of-product-development.pdf), design drugs in months instead of years, compose entirely new materials, generate synthetic data, optimise parts design, automate creativity… In fact, [experts predict that](https://www.gartner.com/en/articles/beyond-chatgpt-the-future-of-generative-ai-for-enterprises) by 2025, 30% of outbound marketing messages from large organisations will be synthetically generated, and by 2030, a major blockbuster film will be released with 90% of the film generated by AI. Going beyond the most headline-grabbing use cases, [studies have shown that Gen. AI increases productivity for a variety of tasks, with specific benefits for low-ability workers and less experienced employees](https://www.thepourquoipas.com/post/ai-could-reduce-economic-inequalities). Put simply, these tools will level the playing field. This is happening today, and will continue to happen, with increasing success, over the coming decade. That is, if we can navigate the many risks associated with generative AI. I’m particularly worried about deepfakes, copyright issues, and [malicious uses for fake news](https://www.thepourquoipas.com/post/30-fake-stories-created-with-chatgpt-what-i-learned). - _Read more about Generative AI on_ [_Nvidia’s corporate website_](https://www.nvidia.com/en-us/glossary/data-science/generative-ai/)_._ **‍** - **RELATED:** [**How to Protect Your Career From a ChatGPT Future**](/magazine/152-how-to-protect-your-career-from-a-chatgpt-future) ## 8. High-temperature superconductivity No, [not room-temperature](https://arstechnica.com/science/2023/09/the-room-temperature-superconductor-that-wasnt/). High-temperature. High-temperature superconductivity (HTS) is the ability of certain ceramics to have zero or low electrical resistance at temperatures higher than −196°C / −321°F (regular superconductors territory). This means HT superconductors can be cooled with simple liquid nitrogen rather than require expensive and hard-to-handle coolants like liquid helium. They can also withstand much higher magnetic fields than Low-Temperature superconductors. [There are a lot of applications for superconductive materials](https://en.wikipedia.org/wiki/Technological_applications_of_superconductivity), but only one is truly transformative (while remaining utterly boring): HTS will improve the electric power sector and reduce its environmental impact by reducing technical losses and increasing energy efficiency. Down the line, there are discussions around its use within fusion reactors, but those conversations are too early to be definite. In any case, HTS is still a relatively immature technology. Ceramic superconductors are becoming suitable for some practical use but are today more complex and costly than comparative conventional technology. As with everything else on this list… more research is needed! - _Read more about HTS on_ [_IBM_](https://www.ibm.com/ibm/history/ibm100/us/en/icons/hightempsuperconductors/)_’s website._ ## 9. Smart Street Poles As cities around the world look to [embrace new technologies and become more efficient, sustainable, and livable](https://medium.com/predict/emerging-smart-city-careers-the-jobs-of-tomorrow-e65636789def), street poles will emerge as a crucial infrastructure element. By imbedding a wide range of IoT devices (cameras, sensors, monitors, displays..) into the existing light poles we know and love, we will soon be able to centrally monitor and control them, making them the hub for various smart city services. These decades-old staples of city living will soon be used for electric vehicle charging, interactive lighting, parking management and crowd control. Moreover, they will form the foundation for citywide Wi-Fi or 5G networks, facilitating advanced computing and communication for intelligent urban services (like autonomous vehicles). They’re here, they’re useful… and tomorrow they will be even more so, while remaining cost-efficient ([you can even find them on Alibaba](https://www.alibaba.com/countrysearch/CN/smart-pole.html)). There’s however still a long way to go before Smart Street Poles become a widespread reality. Ownership complexities, evolving ROI expectations, asset management, data orchestration, cybersecurity, and privacy concerns are some of the challenges that need to be overcome to ensure scalability and widespread adoption. I however remain confident : the Public/private debate has raged for centuries, and the poles are still standing. - _Read more about Smart Street Poles_ [_on Nordic Semiconductor_](https://blog.nordicsemi.com/getconnected/how-smart-poles-can-save-energy-and-enhance-smart-cities-of-the-future) ## 10. Ion-Propelled UAVs Smart Poles aren’t the only upgrades the City of the Future will offer. SciFi has long made us dream of having flying cars, but what few had really thought about is just how loud propellers or turbine blades can be, making them unusable in urban areas. So we had to come up with a solution which has no moving part : [Ion-Propelled UAVs](https://arxiv.org/pdf/1711.10085.pdf?utm_con) (unmanned aerial vehicle). Ion propulsion is _easy_. Instead of regular fuel, a _Special Gas_ (xenon) is used. Electricity is used in the engine to give _Tiny Kicks_ to the xenon atoms. They lose an electron and become _Positively Charged_, becoming “ions.” These ions are then _Pushed_ out of the back vehicle at very high speeds, thanks to an electric field. This works particularly great in space, where a lack of resistance ensures an object can go far with very little xenon on-board. Things become a lot harder [on earth](https://www.nasa.gov/general/silent-solid-state-propulsion-for-advanced-air-mobility-vehicles-2/) (due to air resistance and gravity). Such a vehicle would need to be lightweight to work. As such, it would not be able to go very high, and may not be safe at first. However, as shown below, there is a world in which ion-propelled UAVs become a reality. A silent, carbon-conscious reality. Wouldn’t that be nice. - _Read more about Ion-Propelled UAVs_ [_on Nasa’s website_](https://www.nasa.gov/general/silent-solid-state-propulsion-for-advanced-air-mobility-vehicles-2/) ## Predicting the next big technology trends Technology tends to hold a dark mirror to society, reflecting both what’s great and evil about its makers. Today, more than ever, it’s important to remember that technology is often value-neutral; it’s often what we decide to do with it day in and day out that defines if a technology is the “Next Big Thing” or the “Next Big Flop”. Let’s make sure everything described above is used to advance society in a fairer and more human direction. 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