The real tipping point of a technology is developers, not consumers. While consumers can lead the way, they are also mercurial. Consumers have spoken. No more desktops. More wearable technology. Phones; yes those too!
Intel and others will continue to develop and launch PC solutions:
“For those who follow Intel chip rollouts closely, the chipmaker usually debuts quad-core mobile chips first and then follows up with more conventional laptop silicon, then, a bit later, the most power-efficient variants.
Haswell is a brand new microarchitecture that is expected to be announced formally in June.”
Pundits will rave about the promise of this technology, how it will change our laptop experience. Power savings and a host of powerful applications etc, etc, etc…. But we all know the train has left the station. Consumers have spoken loud and clear and the migration is on. Like the gold rush of days gone by coders flocked to the mobile revolution, then to the tablet evolution, now to the wearable, what ever we call it. Here is the rub. Where coders go, so goes the balance of power. These new marketplaces and open projects have turned the software industry inside out.
Coding for “the man” is the last thing people strive for today. Working with PC architectures, stand alone vertical applications, and non-wearable devices or interfaces is a thing of the past. It’s a history we are writing faster than I am publishing this post. Consumers adopted the mobile trend, investors changed strategy, companies responded, and now consumers are moving the cheese again to wearable technology based on new mash-ups of our existing platforms. They don’t even want to touch technology now. They want products to operate like light bulbs that shine from every surface and all we have to do is look at or point at at them to get our I/O.
British expert Professor Christopher James, from the University of Warwick, who has conducted similar research, said: ‘We are far from a scenario of well-networked rats around the world uniting to take us over, the stimulation is crude and specific. ‘As for the ethics, I struggle to think of any applications that would not have ethical issues.'”
This is pushing developers to migrate in droves to meet demand. It’s about solution based programming and re-imagined user experiences on these new mediums and platforms. It’s no longer about processing the business data on fixed platforms that are highly specialized. It’s about life hacking with these platforms and technologies. We are re-mapping faster and faster to passive interactive technology. In effect, we turning the computer inside out.
We are putting crowds to work on problems, creating visual surfaces out of walls, using big data to abstract sensory input and more importantly seeing the end of touch screens in favor of motions and tracking inputs. The act of processing this experience is becoming more and more a function of distributed processing vs centralized processing.
Now that the tipping point is here, it’s clear. We need to learn from this and re-calibrate.
- Technology is now a feedback loop for the masses
- As each evolution educates more people to the potential, more reactions cause faster change. Nothing new here, excepts how fast we iterate to this new reality as a culture and business community.
- There are not enough seasoned and experienced coders with every new wave of demand
- While platforms and abstractions gain market viability, each new shift creates new platforms and abstractions. Legacy coders remain embedded in the product runout while new coders don’t have all the problem solving skills needed in the new wave
- Investors, like sharks, smell blood in the water and move in for the kill.
- This draws the fast movers along with them. As they lead new markets, they put drain on old markets. The cycle is getting faster and faster with this improved feedback loop. iPad anyone?
The future is biological machines:
Just ask Bill Gates. If he were a teenager today, he says, he’d be hacking biology. “Creating artificial life with DNA synthesis. That’s sort of the equivalent of machine-language programming,”
The future is already upon us. As we refine nano-technological 3D printing, DNA memory, Chemical based coding, and the list goes on, we will give users ever more feedback generating ever more demand. This demand will leave entire generations of coders to shift more quickly while experienced problem solving experts are sidelined by legacy support. New inexperienced coders or fast early adopters will own the market.
The amazing thing is I am not predicting this. It’s already here and we are building the next tipping point today. Are you ready?