Major companies including Microsoft, Google, Lenovo, Magic Leap and others have high-end augmented reality glasses on the market, with those initially having considered consumer offerings now focusing on enterprise.
One of the biggest, broadest shifts in place across human society is from centralized to decentralized organizations and structures.
Yet there is massive uncertainty about how far it will go. It is possible we are moving towards a world defined by Decentralized Autonomous Organizations (DAOs), participatory democracy, decentralized finance, and self sovereignty. It is also possible that existing institutions and hierarchical societies and organizations will dominate indefinitely.
What will determine the path forward is the quality of leadership in enabling a decentralized world
I began work as a professional futurist in 1998, and it has been my full-time avocation (other than entrepreneurial endeavors) since 2006.
For many years my reputation and credibility as a futurist has been significantly supported by my 2002 book Living Networks, which anticipated many developments of the last two decades, including pointing to the rise of social networks and micro-messaging before any of today’s social platforms existed.
That was not the only thing it got right.
I recently had a fantastic conversation on the Industry Insights by SAP podcast, talking with Matt Emmert, Solution Director of Professional Services at SAP, and host Tom Raftery about the future of professional services. You can listen to the entire 22 minute session here.
A central theme to our discussion was the role of data in professional services and the broader implications.
A little while ago I was interviewed by Don McPherson for his 12 Geniuses podcast series on The Future of Social Media. It was a great conversation. We covered a lot of territory, starting with the history of social media through to today and beyond.
One of the ideas I discussed was the potential for a ‘data commons’ to give not just each of us individually the value of our own data, but to create collective value. I observed:
Over the last couple of years the enforced shift to remote work and then hybrid work has led many organizations to shift how they work.
One of the most fundamental changes in shifting from office-based to distributed teams is the need to move from synchronous to asynchronous work.
United Arab Emirates is the first country in the world to adopt a 4½ day workweek across the government. At the same time it switched from a Friday-Saturday weekend, as is common in Muslim countries, to a break extending from Friday afternoon through Sunday, aligning its calendar with Western countries. Private employers are expected to follow suit.
All change creates both challenges and opportunities.
All life is change: being born, growing, learning, maturing, dying, evolving.
Society is continually transforming: moving from the past to the future, building on our human history, creating new and unique manifestations of humanity.
Our world is morphing: the turning of the seasons, the movement of the continents, shifts in climate and flora and fauna, both natural and anthropogenic.
As we emerge from the pandemic, in most countries office work is resuming at scale, meaning doing hybrid work well is a priority for every organization. This topic currently makes up a considerable portion of my client work.
Many workers and executives have learned to appreciate the many positives of remote work, yet for many reasons very few companies will dispense with offices, since they can play a valuable role in highly productive organizations.
News that the investment firm of former Facebook VP Sam Lessin, Slow Ventures, has invested $1.7 million in YouTuber Marina Mogilko has reinvigorated the debate over whether investing in individuals is a good idea.
The deal gives Lessin 5% of Mogilko’s creator earnings for the next 30 years, but only if her earnings reach a certain threshold.
I first wrote about this idea in 2010 in a piece Will there be capital markets for people?, in which I looked at what had already happened in the space, and then again in 2012 writing about the startup Upstart, which tried to establish the same model. (Upstart subsdquently reverted to a more traditional personal lending model based on AI predictions, went to IPO last year and is now valued over 10x hgher at more than $20 billion).