In his eight post in the series, Marshall Kirkpatrick focuses on the intersection between artificial intelligence and blockchain. By way of reminder, Marshall launched a 30 day series that explores the intersection between AI and the various innovation components on my emerging futures visual.
In his third post in the series, Marshall Kirkpatrick focuses on the intersection between artificial intelligence and Fintech. By way of reminder, Marshall launched a 30 day series that explores the intersection between AI and various future scenarios anchored by my emerging futures visual.
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.
A must read on six mega-trends, their tipping points and societal impacts. I recommend this for anyone with interest in where the world is heading, and/or tasked with future thinking in the context of strategy. I commend the World Economic Forum for their efforts here, as education is likely to spur action. The six mega-trends are:
- People and the internet
- Computing, communications and storage everywhere
- The Internet of Things
- Artificial intelligence (AI) and big data
- The sharing economy and distributed trust
- The digitization of matter
Here is a tipping point timeline from the report:
Many leaders are struggling with the sheer number of future scenarios and some indication of when the tipping point may arrive. This material provides critical input into the scenario and response analysis process. Enjoy the read.
The pace of change is such that no forward looking visual can stay static for too long. I have therefore updated the anchor visual that looks at the digital platform, the innovation accelerators, and the disruptive scenarios that result from the convergence of societal progression, science, and technology. It is impossible to capture the current environment in one visual, but I hope what has been captured drives a clear message: there is a lot happening, on a rapid pace, and its convergent effects are multiplicative. There are several changes to the visual, and my thanks to the authors of The Future of Business for their inspiration: