We live in an interstitial period. In the early 1980s, we entered an era of desktop computing that culminated in dot-com crash – an economic bubble that we strengthened with Y2K consulting and hardware expenses along with irrational cheating on Pets.com . The latest interstitial time, an era in which computers became smaller, weirder, thinner and more powerful, led us after a long period of boredom into the mobile era where we now exist. If you want to help innovate in the next decade, it's time to admit that phones, like desktop PCs before them, are a dead end.
We make and brush up the edges of our establishment every decade. The speed we improve ̵
We are limited by cases of use offered by our current technology. In 1903 a bike was a bike and could not fly. Until the Wright Brothers and others turned up mechanical movement to the elevator, we could lift off. In 2019, a phone is a phone and cannot really interact with us as long as it remains a separate part of our bodies. Until someone looks beyond these limitations, we can fly.
Although I do not want to think about the future of mobile technology, I will notice before we put our phones away and look at the world again, we will not do anything about the Note. We can take better pictures and FaceTime each other, but until we see the limitations of these technologies, we will not be able to see a world outside them.
We are entering a new year (and a new CES), and we can expect more of the same. It is safe and comfortable to remain in the display handle and create VR devices that are mainly phones that turn on our faces and large computers that now mask as TVs. What, however, is the next step? Where are these devices going? How do they change? How does user interface compress and morph? Until we actively think about this, we remain firm.
Maybe you are. You'd rather hurry. If this period ends as quickly and decisively as the others before, the opportunity is available at best, limited. Why hasn't VR taken off? Because it is still on the edges, it is explored by people who are stuck in mobile thinking. Why is machine learning and AI so slow? Because usage cases are aimed at chatbots and better customer interaction. Until we begin to look beyond the black mirror (see what I did?) From our phones, innovation will fail.
Each app launched, every image rolled, every press, every barely moment davening to any stupid Facebook improvement, is a brick in the bulwark against an unexpected and better future. So put your phone down this year and build something. Soon it may be too late.