Move over Sophia you might have company. At Tesla’s AI Day, Elon Musk said the company plans to build a robot in human form, leveraging some of its vehicle technology. The path of humanoid robots much like everything else, will go in two possible directions. Constructively, care robots, companion robots, and those that handle difficult repetitive tasks, help address mounting challenges as well as long-standing ones. On the destructive side, these robots may someday encroach upon those traits that make us distinctly human. Our path forward continues to represent a balancing act. Elon Musk describes his vision in the video below.
Back in 2014, the thought of advancements in automation was picking up steam. I wrote about a Next Generation Automation and focused on five primary drivers of advanced automation: the automation of knowledge work, advanced robotics, autonomous vehicles, the Internet of Things, and the mobile Internet. A McKinsey report from that period sized five disruptive technologies that could have an economic impact between $14 and $30 trillion. How much have we accomplished exactly seven years since that Blog post was written?Continue reading
I’ve asked this question before: Is Creativity the Sole Domain of Humans? As each day passes, the answer becomes clearer. One of the most impactful videos I use captures a conversation between Sophia the robot and Jimmy Fallon. As you watch their interaction, you quickly lose sight of the fact that Sophia is a robot. It’s easy for humans to be threatened by a robot that seems to encroach upon the characteristics that make us distinctly human. However, the other side of this discussion represents the potential for a positive human outcome. One example is the introduction of Companion Robots that help deal with the challenges of loneliness and isolation. Another is the role of robots in healthcare and elderly care.Continue reading
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There are many examples of COVID-19 serving as an Accelerant. History and necessity tell us that automation is one of those examples. According to a Business Insider survey of 53 leaders featured in the Transforming Business series, AI and Cloud are at the top of the list of transformation that companies will invest in during 2021. It’s on the agenda of 47% of those surveyed. The connection to the pandemic can be seen in examples of where automation is applied. This recent Article describes a scenario where social distancing requirements are met through automation. Author Joe Mullich points to the kitchen of a burger joint, where a hard-working fry cook named “Flippy” is paving the way for greater use of artificial intelligence and cloud technology in the restaurant industry.Continue reading
Nanotechnology may be able to create many new materials and devices with a vast range of applications, such as in nanomedicine, nanoelectronics, biomaterials energy production, and consumer products. On the other hand, nanotechnology raises many of the same issues as any new technology, including concerns about the toxicity and environmental impact of nanomaterials, and their potential effects on global economics, as well as speculation about various doomsday scenarios. These concerns have led to a debate among advocacy groups and governments on whether special regulation of nanotechnology is warranted.
“According to experts, remote work is here to stay and even when the health crisis ends, a good portion of the workforce will remain working from home”
That’s the sentiment from a recent Article that looks at the workforce of 2025. Author Lori Ioannou explores the challenges of keeping employees connected, innovating and collaborating in a world of virtual organizations. Evidence that remote work is likely to continue keeps mounting. Microsoft told employees that they can Work From Home Permanently. Dropbox recently did the same, announcing on Tuesday that they will stop asking employees to come into its offices and instead make Remote Work The Standard Practice. For employees that need to meet or work together in person, the company is setting up “Dropbox Studios” when it’s safe to do so. In the meantime, the company extended its mandatory work from home policy through June 2021.Continue reading
The phrase “The robots are coming” is often repeated these days. What does their arrival mean for the future of work? That question has short term implications, and the potential for profound long-term impacts. Ask around and you get vastly different perspectives on the question. We seem as polarized on the topic as we are about anything these days. A very good perspective was provided recently in an Article authored by Daphne Leprince-Ringuet. The article explores the possible changes to work as robots become a common feature in the work environment.
In a post from the summer of 2019, I explored the notion of an Augmented Age: a future where our natural human capabilities are radically augmented in three ways: Computational systems will help us think. Robotic systems will help us make. And a digital nervous system will connect us to the world far beyond what our natural nervous system can offer. Fast-forward to a world altered by COVID-19: Are we on an accelerated path to augmentation and automation? This recent Forbes Article takes an interesting look at the question from the perspective of lights out factories.
It’s easy to view the current crisis as a catalyst for change. Lying beneath the surface are signals that major change is required, and when crisis emerges, hope for that change emerges with it. In most cases however, that change never materializes. The last two months have brought countless predictions of what is to come. While we need to consider the low percentage of successful post-crisis predictions in the past, two trends look likely to materialize: accelerated digital transformation, and a rapid path to automation.
What job skills do we need for the future? A popular question that comes up a lot. In a Recent Post, I listed several: emotional intelligence, creativity, flexibility, adaptability, data literacy, and technology savviness. This Tweet of a World Economic Forum video adds complex problem solving, critical thinking, people management, working with others, and decision making to the list.
In a recent Article posted on the Singularity Hub, the author describes the first report of the MIT Task Force on the Work of the Future. This group of MIT academics was set up by MIT President Rafael Reif in early 2018 to investigate how emerging technologies will impact employment and devise strategies to steer developments in a positive direction. The primary finding from this report is that it’s the quality of the jobs we should worry about – not the quantity.
A popular question these days is: Will a robot take my job? That question is as popular as: what should my child study in school? At the heart of both questions is the fear that we as a society will automate anything that can be automated. This website may help bring some clarity – at least in the context of automation risk level. It’s very quick, simply enter your job and an automation risk level expressed as a percentage will be returned.
Ultimately, these questions are difficult to answer, as we cannot predict the jobs of the future – and required skill levels could be a moving target. The progression of automation can be viewed on a spectrum from augmenting humans to fully conscious machines. There are arguments being made on both ends of this spectrum – time will tell.
In a recent book titled The Future of Work, author Darrell M. West describes the Work 2.0 scenario on this emerging future visual. In exploring possible implications of a shifting work paradigm, he gets prescriptive about possible responses. This implication-response exercise sits at the heart of Future Thinking.
No one can predict this complex and uncertain future – but exercises like this help us see possible futures. In seeing them, we position ourselves to proactively shape them. In the context of work, Mr. West explores several possible responses, including another future scenario which he calls Republic 2.0. How this scenario plays out has a direct impact on the path of other scenarios. The scenario speaks to a new kind of politics. Mr. West states:
I just added another very good book to the Book Library: The Future of Work: Robots, AI, and Automation. Author Darrell M. West looks at a world in which our current views of work change. He explores the implications to our social contract and the policy decisions so critical to revising that contract for a new era. Structural change – which Mr. West explores in the book – has long been a tenet of my work. The future of many of our institutions will either change by our proactive acknowledgement that they must change – or they will be undermined.
The conversation so nicely positioned by our author is one that must happen at all levels of leadership. This does not have to be a Utopian versus Dystopian discussion. Rather, like the major disruptive periods of our past, leaders need to lead.
As science and technology continue their rapid advance, traditional constructs are challenged; Supply chains are no exception. Here is a brief video that highlights many of the advances that transform how we think about supply chains in the future. As it wraps up, a curated set of videos that touch on several of these advances is provided. Special thanks to Bill Quinn, Rose Castellon-Rodriguez, and Kevin Mulcahy for producing the video.
Be sure to visit the Reimagining the Future YouTube Channel to explore additional topics.
Byron Reese recently authored a book titled The Fourth Age. I thoroughly enjoyed this fascinating look at history, and the focus on possible futures. In looking at the future, Mr. Reese explores the reasons that experts disagree on the path of these possible futures. He asks: why do Elon Musk, Stephen Hawking, and Bill Gates fear artificial intelligence (AI) and express concern that it may be a threat to humanity’s survival; and yet, why do an equally illustrious group, including Mark Zuckerberg, Andrew Ng, and Pedro Domingos, find this viewpoint so far-fetched as to be hardly even worth a rebuttal? The answer as described by the author lies not in what we know – but what we individually belief. This theme throughout the book is an interesting piece of self-reflection. See how you would answer the questions posed by the author.
In a Post from 2014, I explored the path of automation and a possible economic impact between $14 and $30 trillion. Almost four years later, my focus has shifted from economic to societal impact. How far will we take automation? Will automation augment us, freeing us from mundane and redundant tasks, or will it replace us? Is automation limited to those characteristics we typically associate with our left brain – or will it encroach upon our right brain characteristics?
These questions currently have no answer – just speculation. How far the slider in the visual below goes, drives a profound difference in the ultimate implications to society. The obvious area of impact is the future of work – if we do indeed realize decentralized autonomous organizations. Do our right brain characteristics become much more important in this future world, and do they represent a safe haven? I show three very impactful examples in presentations that would have us question whether or not machines can be creative, compassionate, and eventual companions.
In this last segment from the Health Summit in D.C., I responded to a question regarding loneliness, isolation and the policies that might help address this societal issue. Is it strictly a policy question? Like everything else in this exponential world, are building blocks emerging to address such issues in different ways? Like say, social robots?
In a recent article, Kevin Drum makes a compelling argument that You Will Lose Your Job to a Robot—and Sooner Than You Think. The piece is a little long, but this is a must read for everyone. At the heart of his argument lies the exponential progression of artificial intelligence (AI). Using the human brain as a barometer, AI will reach one tenth the power of the human brain by 2035. By 2045, we will have full human level AI.