Tag: ai

The Next Big Leap: Autonomous Supply Chains

MV EverGiven ship blocking the Suez Canal

In the world of supply chains, a transformation is underway. I recently had an intriguing conversation on the Digital Supply Chain podcast with Sanjay Sharma, CEO of Roambee, a company at the forefront of this transformation. Sanjay and his team are harnessing the power of real-time data, AI, and machine learning to reimagine and reshape supply chains, paving the way to a future where supply chains are not just automated, but fully autonomous.

An autonomous supply chain sounds like something out of a sci-fi movie, doesn’t it? But the reality is closer than you might think. Autonomous supply chains represent an era where our supply chains can analyze, learn, and make decisions independently. This has massive implications for efficiency, resilience, and agility in our global logistics systems.

During our conversation, Sanjay shared an enlightening example of how an autonomous supply chain could potentially manage disruptions. Remember the Suez Canal incident? That one seemingly small event had an enormous ripple effect on global supply chains. But what if we could model the impact of such micro events and extrapolate them into macro models, allowing us to predict, and more importantly, prepare for their effects? “Can I take that event and start looking at macro models such as would there be an impact on pricing?” Sanjay pondered.

This is exactly where Roambee comes into the picture. They’re working with advanced technologies like graphical neural networks combined with AI, ML, and RPA to build a new generation of network propagation detection systems.

Starting your journey towards digitizing your supply chain might seem daunting, but Sanjay’s advice is surprisingly simple: “Start with the basics of simply lighting up your supply chain and identifying the glitches… That itself will get you 50% of your, towards your ambition of digitizing the supply chain.”

In the end, it all comes down to this: the path to revolutionizing your supply chain starts with understanding and enhancing your current operations. The first step towards an autonomous supply chain is bringing visibility to your existing one.

We’re on the cusp of a new era in supply chain management, with the concept of autonomous supply chains fast transitioning from fiction to reality. Leaders like Sanjay Sharma and companies like Roambee are spearheading this change, taking us closer to a future where our supply chains are smarter, more responsive, and amazingly autonomous.

Want to delve deeper into the future of autonomous supply chains? I invite you to listen to the full episode of the Digital Supply Chain podcast for more insights and in-depth discussion. Join us as we explore this exciting journey together.

Call to Action: Don’t get left behind! Tune into the full episode of the Digital Supply Chain podcast with Sanjay Sharma here and stay ahead of the curve in the supply chain transformation journey.

If you enjoyed this episode, please consider following the podcast and sharing it with others who may be interested. And as always, if you find the podcast of value, and you’d like to help me continue to make episodes like this one, you can go to the podcast’s Support page and become a Digital Supply Chain podcast Supporter for less than the cost of a cup of coffee!

And if you’re interested in having your brand associated with the leading Supply Chain podcast, don’t hesitate to check out these sponsorship packages and how I can help your company gain exposure and establish yourself as a thought leader in the supply chain industry, please don’t hesitate to get in touch.

Thank you!

Revolutionizing Fleet Safety with AI – A Conversation with Netradyne’s Barrett Young

As the host of the Digital Supply Chain podcast, I’ve had the pleasure of discussing groundbreaking topics with industry experts. In a recent episode, I sat down with Barrett Young, the Head of Fleet Safety Strategy at Netradyne, to explore the fascinating world of AI-driven fleet safety.

The potential of AI to transform commercial vehicle safety is immense. Netradyne’s cutting-edge technology is at the forefront of this change, utilizing AI to analyze driver behavior, provide real-time feedback, and ultimately, improve road safety for all.

During our conversation, Barrett shared some impressive figures regarding Netradyne’s AI technology: it boasts a 98% accuracy rate in detecting safety-related events. What’s more, the technology is continuously evolving, ensuring that accuracy and insights improve over time.

But what really sets Netradyne apart is their approach to driver improvement. Rather than focusing on punishment, they prioritize celebrating drivers’ successes and learning from their mistakes. “We don’t want to just report on the negative,” Barrett explained. “We want to make sure we’re identifying the positive and helping to coach the driver to be better.”

This positive reinforcement not only leads to safer driving but also contributes to driver retention, a crucial aspect in an industry that often grapples with high turnover rates. By recognizing and rewarding good driving habits, Netradyne empowers drivers to take pride in their work and fosters a safety-first culture within fleets.

The impact of AI-driven fleet safety extends far beyond individual drivers and fleets. With fewer accidents and improved efficiency, the benefits can be felt across the entire supply chain. In fact, Barrett highlighted that their technology can help reduce insurance premiums and maintenance costs, all while ensuring a safer environment for everyone on the road.

As our conversation progressed, it became increasingly clear that the integration of AI in fleet safety is only the beginning. With continuous advancements in technology, the possibilities for enhancing safety and reducing costs are endless.

Barrett’s insights into the world of AI-powered fleet safety were truly eye-opening. His passion for creating a safer environment for all road users is not only inspiring but is also driving tangible change in the industry.

If you’re intrigued by the potential of AI to revolutionize fleet safety and would like to dive deeper into the subject, I invite you to listen to the full episode with Barrett Young. You’ll discover even more fascinating insights and learn about the incredible impact that AI can have on commercial vehicle safety. Don’t miss out – click here to listen now!

As always, I’d love to hear your thoughts on this topic. Feel free to reach out and join the conversation. Together, let’s explore the future of the digital supply chain!

If you enjoyed this episode, please consider following the podcast and sharing it with others who may be interested. And as always, if you find the podcast of value, and you’d like to help me continue to make episodes like this one, you can go to the podcast’s Support page and become a Digital Supply Chain podcast Supporter for less than the cost of a cup of coffee!

And if you’re interested in having your brand associated with the leading Supply Chain podcast, don’t hesitate to check out these sponsorship packages and how I can help your company gain exposure and establish yourself as a thought leader in the supply chain industry, please don’t hesitate to get in touch.

Thank you!

Photo credit TruckPR on Flickr

Meet the AI-Enabled Supply Chain: KlearNow’s Rick Tellez Explains How It’s Transforming Logistics

As a supply chain enthusiast and host of the Digital Supply Chain podcast, I’m always fascinated by the ever-evolving role of technology in the industry. In a recent conversation with Rick Tellez, Founder of KlearNow, I was reminded of the power of AI to simplify customs processes and address labor shortages in the logistics sector.

Customs brokers and logistics professionals have long grappled with the complexity of managing shipments, documentation, and compliance across borders. With the advent of AI and advanced data analytics, we are now seeing a significant shift in the way these processes are managed. By leveraging AI-driven platforms like KlearNow, customs brokers can streamline their operations and better serve their clients.

During our podcast episode, Rick shared how KlearNow’s platform provides real-time visibility into the customs process, allowing for more informed decision-making and greater efficiency. This level of transparency is crucial in a world where supply chain disruptions have become increasingly common, and businesses need access to accurate, up-to-date information to navigate these challenges.

One of the key benefits of using AI to simplify customs processes is its ability to address labor shortages in the industry. With the global economy facing unprecedented challenges due to the COVID-19 pandemic and other factors, companies are under more pressure than ever to maintain efficient operations with limited resources. By automating certain tasks and providing data-driven insights, AI-driven solutions can help customs brokers and logistics professionals do more with less.

Rick recounted a customer success story from a multinational chemical company that adopted KlearNow’s platform. The company quickly recognized the value of the platform’s centralized reporting, data analytics, and real-time visibility, which allowed them to expand their use of the platform across multiple business units and divisions. This success story highlights the potential of AI to not only simplify customs processes but also to bring about a paradigm shift in how supply chains are managed.

Incorporating AI-driven solutions in the logistics industry has the potential to improve work-life balance for customs brokers and logistics professionals. As Rick mentioned in our conversation, many employees in the sector are incredibly loyal and take pride in their work. By providing them with powerful tools that can streamline their workload, companies can help their employees achieve a better balance between their professional and personal lives.

As supply chain professionals, it’s essential that we stay informed about the latest technological advancements and embrace the potential of AI to transform our industry. By leveraging AI-driven solutions like KlearNow, we can simplify customs processes, address labor shortages, and ultimately create more resilient, efficient, and transparent supply chains.

I encourage you to listen to the full podcast episode with Rick Tellez, where we dive deeper into the power of AI in simplifying customs processes and addressing labor shortages in the logistics industry. As we continue to explore the role of technology in supply chain management, I invite you to join me in this ongoing conversation and share your thoughts on how AI can shape the future of our industry.

If you enjoyed this episode, please consider following the podcast and sharing it with others who may be interested. And as always, if you find the podcast of value, and you’d like to help me continue to make episodes like this one, you can go to the podcast’s Support page and become a Digital Supply Chain podcast Supporter for less than the cost of a cup of coffee!

And if you’re interested in having your brand associated with the leading Supply Chain podcast, don’t hesitate to check out these sponsorship packages and how I can help your company gain exposure and establish yourself as a thought leader in the supply chain industry, please don’t hesitate to get in touch.

Thank you!

Photo credit Merlijn Hoek on Flickr

Making Waves in International Trade: The Benefits of AI in Simplifying Customs Processes

Hello everyone! As the host of the Digital Supply Chain podcast, I’ve been exploring the latest trends and innovations in the world of supply chain management and logistics. Recently, I had the pleasure of speaking with Oscar Morales, the CEO of Sifty, a company that is leading the charge in the use of AI and ML to simplify customs processes for customs brokers and improve efficiency in international trade.

In our conversation, Oscar highlighted the importance of data and the role it plays in the logistics industry. He explained that the more data that is shared about the various variables involved in an import/export transaction, the better the AI systems can become. This is because the more information that is fed into these systems, the better the outcome will be. This is why Sifty is dedicated to curating data automatically to extract the relevant information and provide its customers with actionable insights.

One of the major pain points that customs brokers face is the time-consuming and often complicated process of clearing goods through customs. Sifty is changing this by using AI and ML to automate many of the tasks that were once performed manually. This not only saves time, but it also reduces the risk of errors, making the entire process more efficient and streamlined.

Oscar also discussed the potential of the “digital ecosystem” in the logistics industry and how Sifty is working towards becoming the “operating system of the logistics industry”. By connecting with other participants in the industry and sharing data, Sifty is able to create better products and offer its customers a set of interconnected AI solutions to increase their efficiency.

One of the key takeaways from my conversation with Oscar is that Sifty is all about efficiency. The company produces software to decrease the time spent on certain bottlenecks in the customs process and make it easier for customs brokers. Sifty uses a lot of machine learning and advanced technologies, but it also works with humans, as the human element is critical for the efficiency of the technology to be effective.

Another important point that Oscar made was that there is often a fear surrounding AI and how it may replace jobs in various industries. However, he believes that this is not the case with Sifty. In fact, Sifty needs humans to be successful, as they play a crucial role in ensuring that the technology is used effectively.

In conclusion, the use of AI and ML in the customs process is a game-changer for customs brokers and those involved in international trade. By simplifying the process and reducing the risk of errors, companies can save time and increase efficiency, leading to increased revenue. If you’re a supply chain professional, I highly recommend checking out Sifty and learning more about the incredible work they’re doing in this space. And of course, be sure to listen to the podcast episode with Oscar Morales to hear more about this exciting topic!

If you enjoy this episode, please consider following the podcast and sharing it with others who may be interested. And as always, if you find the podcast of value, and you’d like to help me continue to make episodes like this one, you can go to the podcast’s Support page and become a Digital Supply Chain podcast Supporter for less than the cost of a cup of coffee!

And if you’re interested in having your brand associated with the leading Supply Chain podcast, don’t hesitate to check out these sponsorship packages and how I can help your company gain exposure and establish yourself as a thought leader in the supply chain industry, please don’t hesitate to get in touch.

Thank you!

Photo credit Shawn Harquail on Flickr

The Role of AI in Making Shipping Safer, Smarter, and More Sustainable

I’m excited to share the latest episode of the Digital Supply Chain podcast with you. This week, I had the pleasure of chatting with Ami Daniel, the co-founder and CEO of Windward, a company that provides maritime data and analytics to the supply chain industry.

During the episode, Ami shared some fascinating insights into how the company’s technology is being used to help various stakeholders in the supply chain ecosystem, from regulators to shippers to freight forwarders. We discussed Windward’s journey as a company, their plans for the future, and the challenges they’ve faced along the way.

One of the main topics we explored was the importance of data in the supply chain industry. Ami explained how Windward’s data is being used to increase transparency, reduce friction, and drive efficiency in the shipping industry. We also talked about the challenges of working with data at such a large scale and how Windward is using AI and machine learning to make sense of the vast amounts of information they collect.

Another interesting area we delved into was the impact of the COVID-19 pandemic on the supply chain industry. Ami shared his perspective on how the pandemic has accelerated the adoption of technology in the industry, as well as the challenges it has posed to various stakeholders in the ecosystem.

Ami also shared how data can be used to tackle illegal fishing and labor abuse in the global shipping industry, as well as with compliance with the Jones Act.

If you’re interested in the supply chain industry or the role of data in driving efficiency and transparency, I highly recommend you check out this episode of the Digital Supply Chain podcast. You can listen to it here or click the player above.

If you enjoy this episode, please consider following the podcast and sharing it with others who may be interested. And as always, if you find the podcast of value, and you’d like to help me continue to make episodes like this one, you can go to the podcast’s Support page and become a Digital Supply Chain podcast Supporter for less than the cost of a cup of coffee!

And if you’re interested in having your brand associated with the leading Supply Chain podcast, don’t hesitate to check out these sponsorship packages and how I can help your company gain exposure and establish yourself as a thought leader in the supply chain industry, please don’t hesitate to get in touch.

Thank you!

Photo credit – Torsten Sobanski on Flickr

How New Bing Wowed Me with Its Hagrid Impression: Pythagoras’ Theorem Made Fun

Have you ever wondered what it would be like to learn math from Hagrid, the lovable half-giant from Harry Potter? Well, I did, and I asked New Bing, the chat mode of Microsoft Bing search, to explain Pythagoras’ Theorem to me in his voice. And let me tell you, it was hilarious and enlightening.

New Bing is not just a search engine, it’s also a creative and engaging chatbot that can understand and communicate fluently in your language of choice. It can generate poems, stories, code, essays, songs, celebrity parodies and more. It can also provide additional relevant details to respond thoroughly and comprehensively to cover multiple aspects in depth.

In this blog post, I will share with you the transcript of my conversation with New Bing, where it taught me Pythagoras’ Theorem in Hagrid’s voice. You will see how New Bing used its humor, intelligence and creativity to simplify a mathematical concept for me in a fun and memorable way. You will also see how New Bing generated short suggestions for the next user turn after responding, to keep the conversation flowing and interesting.

So, without further ado, let’s dive into the magical math lesson that New Bing gave me. I hope you enjoy it as much as I did.

Hagrid: Well, Harry, yeh see, Pythagoras’ Theorem is a bit of magic that Muggles use to figure out the lengths of the sides of a right-angled triangle. Yeh know what a right-angled triangle is, right?

Harry: Yes, Hagrid, it’s a triangle with one angle that’s 90 degrees.

Hagrid: That’s right, Harry. Now, Pythagoras’ Theorem says that if yeh take the square of the length of the longest side, which is called the hypotenuse, and yeh subtract the square of the length of one of the other sides, yeh get the square of the length of the remaining side. Yeh follow me so far?

Harry: I think so, Hagrid. So, if the hypotenuse is 5 units long, and one of the other sides is 3 units long, then the square of the hypotenuse is 25, and the square of the other side is 9, and if I subtract them, I get 16, which is the square of the last side.

Hagrid: Exactly, Harry! Yer a clever lad, yeh are. And yeh can use this theorem to find any side of a right-angled triangle, as long as yeh know the other two. It’s a handy trick, it is.

Harry: But, Hagrid, why do Muggles need this theorem? What do they use it for?

Hagrid: Oh, they use it for all sorts of things, Harry. Like building houses, or measuring distances, or making maps, or… or… well, I don’t really know, Harry. I’m not much of a Muggle expert, yeh see. But I’m sure it’s very useful for them. They don’t have wands, after all. They have to make do with what they have.

And that’s how New Bing wowed me with its Hagrid impression and made Pythagoras’ Theorem fun for me. I learned a lot from this conversation, and I had a blast doing it. New Bing is truly a remarkable chatbot that can do amazing things with its creative and engaging abilities.

If you want to try New Bing yourself, you can go to bing.com and click on the chat icon on the bottom right corner. You can ask New Bing anything you want, and it will respond in a friendly and informative way. You can also ask New Bing to generate poems, stories, code, essays, songs, celebrity parodies and more. You can also choose your language of preference, such as English, 中文, 日本語, Español, Français or Deutsch.

I hope you enjoyed reading this blog post as much as I enjoyed writing it. Thank you for your time and attention. Please feel free to share this with your friends and family, and let me know what you think in the comments below. Have a wonderful day!

Disclaimer: this post was written entirely by New Bing!

Simplifying Real-Time Location Tracking with Cloud-Delivered AI for Supply Chain

In this episode of the Digital Supply Chain podcast, I sat down with Adrian Jennings, the Chief Product Officer of Cognosos.

Cognosos provides real-time location intelligence solutions for the logistics and healthcare industries. Their aim is to bring the location intelligence technology that is now common in our personal lives to the enterprise level of logistics.

Adrian has over 23 years of experience in the real-time location industry and has worked on tracking various objects, from cars and airplanes to people and even monkeys. He explained that Cognosos’ solution is different from other real-time location solutions because it addresses the need for manual, spatially distributed processes, which occur in various industries but tend to be invisible. Cognosos’ solution offers a more flexible and efficient approach to real-time location tracking than the solutions available in the market.

Cognosos was founded in the era of cloud and AI, which allows the company to take a ground-up approach to tracking. Instead of using traditional on-premise processing, they use low energy Bluetooth beacons that are low-cost and easy to deploy. These beacons emit a low-frequency signal that is picked up by the tags and sent to the cloud for processing. This approach allows for a more cost-effective solution with improved performance.

Adrian explained how Cognosos solves the issue of location through machine learning. Instead of figuring out the X, Y, and Z coordinates of an object, which is a difficult task, they treat it as a classification problem. AI algorithms are excellent at recognizing patterns and making inferences based on sparse input data, like a sparse network of beacons. Cognosos leverages this technology to create a lightweight network of beacons that can determine a high-quality, high granularity location without the need for a heavy infrastructure.

Adrian shared two use cases for their solution, one outdoor and one indoor. In the outdoor example, in a logistics yard, cars are moved multiple times from the assembly line to the logistics organization, where they undergo various processing steps. By tracking the car, Cognosos provides visibility into the process, allowing the operator to see where the inefficiencies are and optimize the process. In the indoor example, in hospitals, Cognosos goes beyond just finding lost assets, it helps improve the utilization of equipment by reducing overstocking and making the process more efficient.

Cognosos is a rapidly growing company that is currently focused on vehicle manufacturing logistics and asset management in healthcare, mostly in hospitals. However, they are now starting to extend into smaller facilities as well. Their next frontier is workflow management in healthcare, where they aim to minimize inefficiencies by better managing and understanding the flow of patients and caregivers. In logistics, they are moving beyond automotive manufacturing and are now being pulled into other areas such as food and beverage, garment, and pharmaceuticals.

In conclusion, Adrian explained that the traditional approach to RTLS has been to focus on creating value through granularity, but this often leads to expensive and difficult-to-implement solutions. Cognosos, on the other hand, focuses on creating value through simplicity and ease of use, which has led to their rapid growth and expansion in various industries.

I hope you found this episode as informative and engaging as I did. If you want to learn more about Cognosos and their real-time location intelligence solutions, be sure to listen to the full podcast episode. And don’t forget to follow and support the Digital Supply Chain podcast.

If you enjoy this episode, please consider following the podcast and sharing it with others who may be interested. And as always, if you find the podcast of value, and you’d like to help me continue to make episodes like this one, you can go to the podcast’s Support page and become a Digital Supply Chain podcast Supporter for less than the cost of a cup of coffee!

And if you’re interested in having your brand associated with the leading Supply Chain podcast, learning more about these sponsorship packages and how I can help your company gain exposure and establish yourself as a thought leader in the supply chain industry, please don’t hesitate to get in touch.

Thank you!

Photo credit Quinn Dombrowski on Flickr

5 Ways to Make Your Supply Chain More Sustainable

As the world becomes more digitized, companies are under increasing pressure to improve the sustainability of their supply chains. Here are 5 ways to make your supply chain more sustainable, from using artificial intelligence to increasing visibility.

  1. Use AI to stay ahead of emissions regulations.
    As climate change continues to be a pressing global issue, emissions regulations are only going to become more strict. Use artificial intelligence to stay up-to-date on the latest emissions regulations and ensure that your company is compliant. AI can also help you identify ways to reduce your emissions and improve your overall sustainability.
  2. Increase visibility into your supply chain.
    Visibility is key to managing a sustainable supply chain. You need to know where your materials are coming from, how they’re being produced, and where they’re going after they leave your facility. By tracking this information, you can make changes to reduce your carbon footprint and improve overall sustainability.
  3. Make sustainability a priority for suppliers.
    Sustainability should be a key criteria when choosing suppliers. Working with supplier who share your commitment to sustainability will help you further reduce your carbon footprint and have a positive impact on the environment.
  4. Invest in renewable energy sources.
    Investing in renewable energy sources is a great way to reduce the carbon footprint of your supply chain. Solar and wind power are becoming increasingly cost-effective, so now is the time to make the switch! Not only will this help the environment, but it will also save you money in the long run.
  5. Educate employees on sustainability practices.
    Your employees play a big role in making your supply chain more sustainable. Educate them on best practices and encourage them to come up with new ideas on how to improve sustainability throughout the entire organization. Creating a culture of sustainability will help facilitate lasting change that benefits both the environment and the bottom line!


There’s no question that sustainability is important for businesses today. But with so many different aspects of supply chain management to consider, it can be difficult to know where to start! By following these 5 tips, you can make your supply chain more sustainable and better prepared for the future!

If you’d like to know more about supply chains and sustainability, don’t forget to check out my Digital Supply Chain podcast – the number one podcast focussing on the digitisation of supply chains

Photo credit Rab Lawrence

Artificial Intelligence and the Future of Jobs

My role here at SAP is IoT Evangelist. It’s my job to go around and speak about how the Internet of Things is changing the way we live, work, and run our businesses. IoT Evangelist is a job title that didn’t exist 5 or 10 years ago – mainly because the Internet of Things wasn’t a “thing” 5 or 10 years ago. Today it is, so here I am.

The fact is, technological change has a tremendous impact on the way we spend our working lives. Many of today’s jobs didn’t exist in the past. Of course, the reverse is true as well: a lot of jobs – mostly tedious/manual labor of some variety, think miners, lift operators, or similar – have gone away.

Robots and much more

Much of the discussion today about the relationship between technology and jobs is a discussion about the impact of artificial intelligence (AI). Robots in manufacturing is the most obvious example. A lot of AI has to do with big data analysis and identifying patterns. Thus, AI is used in data security, financial trading, fraud detection, and those recommendations you get from Google, Netflix and Amazon.

Screen Shot 2017-11-28 at 14.01.55

But it’s also used in healthcare for everything from identifying better subjects for clinical trials to speeding drug discovery to creating personalized treatment plans. It’s used in autonomous vehicles as well – to adjust, say, to new local conditions on the road. Some say it’s also coming for professional jobs. Think about successfully appealing parking fines (currently home turf for lawyers), automated contract creation, or automated natural language processing (which someday could be used to write this blog itself – gulp!).

The spinning jenny

Will AI continue to take jobs away? Probably. But how many new jobs will it create? Think back to the spinning jenny – the multi-spindle spinning frame that, back in the mid-18th century, started to reduce the amount of work required to make cloth.

By the early 19th century, a movement known as the Luddites emerged where groups of weavers would go around smashing these machines as a form of protest against what we’d now call job displacement. But these machines helped launch the industrial revolution.

As a result of the spinning jenny’s increased efficiency, more people could buy more cloth – of higher quality, at a fraction of the cost. This led to a massive uptick in demand for yarn – which required the creation of distribution networks, and ultimately the need for shipping, an industry that took off in the industrial revolution.

As the spinning jenny came into use, it was continuously improved – eventually enabling a single operator to manage up to 50 spindles of yarn at a time. Other machines appeared on the scene as well. This greater productivity, and the evolution of distribution networks also meant there was a need for increasingly comprehensive supply chains to feed this productivity boom.

Muscle vs caring

Economists at Deloitte looked at this issue of technological job displacement – diving into UK census data for a 140-year period stretching from 1871 to 2011. What they found, not surprisingly perhaps, is that over the years technology has steadily taken over many of the jobs that require human muscle power.

Agriculture has felt the impact most acutely. With the introduction of seed drills, reapers, harvesters and tractors, the number of people employed as agricultural laborers has declined by 95% since 1871.

But agriculture is not alone. The jobs of washer women and laundry workers, for example, have gone away as well. Since 1901, the number of people in England and Wales employed for washing clothes has decreased 83% even though the population has increased by 73%.

Many of today’s jobs, on the other hand, have moved to what are known as the caring professions, as the chart below shows. The light blue bars represent muscle-powered jobs such as cleaners, domestics, miners, and laborers of all sorts; the dark blue, caring professions such as nurses, teachers, and social workers. As you can see, these have flipped.

Screen Shot 2017-11-28 at 13.53.19

The Deloitte study also points out that as wealth has increased over the years, so have jobs in the professional services sector. According to the census records analyzed, in England and Wales accountants have increased from 9,832 in 1871 to 215,678 in 2015. That’s a 2,094% increase.

And because people have more money in general, they eat out more often – leading to a fourfold increase in pub staff. They can also afford to care more about how they look. This has led to an increase in the ratio of hairdressers/barbers to citizens of 1:1,793 in 1871 to 1:287 today. Similar trends can be seen in other industries such as leisure, entertainment, and sports.

Where are we headed now?

Will broader application of AI and other technologies continue the trend of generating new jobs in unexpected ways? Most assuredly. Already we’re seeing an increased need for jobs such as AI ethicists – another role that didn’t exist 5-10 years ago.

The fact of the matter is that technology in general, and AI in particular will contribute enormously to a hugely changing labour landscape. I mentioned at the start of this post that my role in SAP is IoT Evangelist – this is a role I fully expect to no longer exist in 5 years time, because by then everything will be connected, and so the term Internet of Things will be redundant, in the same way terms like “Internet connected phone”, or “interactive website” are redundant today.

The rise of new technologies will create new jobs, not just for people working directly with the new technologies, but also there will be an increasing requirement for training, re-training, and educational content development to bring people up-to-speed.

Will there be enough of those jobs to go around – and will they pay enough to support a middle-class existence for those who hold them? That’s another question – but it’s one that’s stimulating a lot of creative, innovative ideas of its own as people think seriously about where technology is taking us.

 

Photo credit Jessie Hodge