Our exponential world puts increasing pressure on our capacity to innovate and the speed and quality of idea flow. This dynamic coupled with the speed at which automation is likely to occur brings our right brain characteristics front and center. Creativity, imagination, big picture vision, emotional and social intelligence, empathy, and other human characteristics are critical to navigating in this emerging future. As automation accelerates, these human traits become even more critical. In a recent report by Citi on Technology at Work, the authors point to our propensity for social interaction, communication, and empathy being something machines can never replace.
In the last three years, I have written about the emerging Mobility Ecosystem and its Disruptive Potential. In 2016, we witnessed the acceleration of this future scenario and the movement from science fiction to something that feels very real. Here is a great infographic that looks broadly at the autonomous car market, the many financial, practical and scientific challenges involved in the development of these vehicles, and these other topics:
- The history of autonomous cars
- The challenges involved in engineering the coveted autonomous car
- How DARPA have been involved in testing driverless cars
- The advent of Google X
- The science behind autonomous vehicles
- What the future holds for the autonomous car market
- Which car brands have driving patents for autonomous vehicles
- The projected launch date for driverless card (for test or commercial purpose)
- Projected market penetration of autonomous cars in the UK
- SAE levels explained
“I am blown away by how palpable the feeling of exponential change has become. I’m also certain that 99.999% of humanity doesn’t understand or appreciate the ramifications of what is coming”
On Wednesday January 4th, I participated in a Game Changers radio program focused on predictions for 2017. The program, hosted by Bonnie D. Graham, included 15 other guests in an hour long show made up of four segments. A rebroadcast can be found here.
The airwaves are filled with talk of exponential technologies like Blockchain, Artificial Intelligence, Robotics, Renewable Energy and more. In addition, societal factors that influence or are influenced by technology are getting more attention. So what’s the buzz?
An article on Blockchain uses eight visuals to describe The Future of Blockchain and provides a Financial Services adoption timeline. The adoption scenario predicts that Blockchain will move past the Innovators phase in 2016 and reach 13.5 percent of early adopters within financial services. The tipping point is then expected to happen in 2018, as the early majority begins to see benefits realized by early adopters, and new models emerge. The growth phase lasts until 2025 when Blockchain goes main stream within financial services. This visual from the article captures the adoption cycle.
A separate piece by Mckinsey focuses on Blockchain in Insurance. A key take away from this report is that Blockchain is yet another example of an ecosystem growing beyond traditional industry.
In a recent post, I focused on a series of emerging shifts and the transformation pillars that enable a re-imagined future. In this post, I will dive into one of those pillars: next generation productivity. According to Wikipedia, productivity is an average measure of the efficiency of production. It can be expressed as the ratio of output to inputs used in the production process. In a recent Citi Report, they describe the significant slowing of labor productivity growth, which drives a focus on next generation gains. But In spite of technological progress and innovation, measured productivity growth is low by historical comparison. They cite these growth statistics across advanced economies.
Here is the summary of a recent article I wrote for the Insurance Innovation Reporter. Please visit their site to see the full Article.
Accelerating advancements in science and technology have set the foundation for massive shifts in the decades ahead, yet we continue to operate on a platform meant for a different time. This platform has hit a productivity wall, and a new emerging platform has changed the expectations of those we engage with. As they advance, these shifts will challenge our long held beliefs and intuition, while changing long standing business models across industries. In the face of this, organizations must unlearn what they know and embrace new ways of thinking. This is especially important in our approach to the workforce and the evolution of our management paradigm. How we lead the modern workforce will require change, and it starts with four crucial shifts: embrace a new way of working, move towards a collaborative management paradigm, value human characteristics, and plug into the emerging platform.
If we are to Think about the Future in a way that helps us thrive in that future, we must excel at connecting dots. I developed the Future Scenarios visual in an attempt to help visualize the dots, as well as the various intersections that amplify the impact of those dots. In parallel with this scenario view, I have looked at various aspects of social change that both influence and impact these scenarios – and vice versa – but until now, those views were separate. Convergence is occurring not just across the technology and future scenario curves, but also the various aspects of social change. So in the interest of maximizing future thinking impact, I have combined the two views and will describe a connecting the dots scenario. First, the new future scenario visual: