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It’s Ecosystems, Not Inventions That Truly Change the World

2019 March 24
by Greg Satell

Imagine yourself as the CEO of a Dow component company in 1919. You are fully aware of the technological forces that would shape much of the 20th century, electricity and internal combustion. You may have even be an early adopter of these technologies. Still, everything seems like business as usual.

What you don’t see, however, is that these inventions are merely the start. Secondary technologies, such as home appliances, radio, highways and shopping malls, would reshape the economy in ways that no one could have predicted. Your company has a roughly 50% chance of remaining on the Dow a decade later.

We are at a similar point today. New inventions, such as quantum computing, neuromorphic chips, synthetic biology and advancements in materials science already exist. It is not those inventions, however, but the ecosystems they spawn that will shape the decades to come. We’re all going to have to learn how to compete in a new era of innovation.

A 50-Year Boom In Productivity

By 1919, electricity was already a 40-year old technology. In 1882, just three years after he had almost literally shocked the world with his revolutionary electric light bulb, Thomas Edison opened his Pearl Street Station, the first commercial electrical distribution plant in the United States. By 1884 it was already servicing over 500 homes.

Yet although electricity and electric lighting were already widespread in 1919, they didn’t have a measurable effect on productivity and a paper by the economist Paul David helps explain why. It took time for manufacturers to adapt their factories to electricity and learn to design workflow to leverage the flexibility that the new technology offered. It was the improved workflow, more than the technology itself, that drove productivity forward.

Automobiles saw a similar evolution. It took time for infrastructure, such as roads and gas stations, to be built. Improved logistics reshaped supply chains and factories moved from cities in the north — close to customers — to small towns in the south, where labor and land were cheaper. That improved the economics of manufacturing further.

Yet all of that was just prelude to the massive changes that would come. Electricity spawned secondary innovations, such as household appliances and radios. Improved logistics reshaped the retail industry, shifting it from corner stores to supermarkets and shopping malls. As Robert Gordon explains in The Rise and Fall of American Growth, these changes resulted in a 50-year boom in productivity between 1920 and 1970.

The Digital Revolution

In 1984, Steve Jobs and Apple launched the Macintosh, which heralded a new era of computing. Based on technology developed for the Xerox Alto in the early 1970s, with a bitmapped screen, a graphical user interface and a mouse, it made computing far more accessible to regular consumers.

Before long, personal computers were everywhere. Kids would use them to write term papers and play video games. Lotus 1-2-3 spreadsheet software became a staple for small businesses and entrepreneurs. Desktop publishing helped democratize the flow of information. The computer age had begun in earnest.

Yet much like electricity and internal combustion earlier in the century, the effect on productivity was negligible, causing the Nobel Prize winning economist Robert Solow to quip, “You can see the computer age everywhere but in the productivity statistics.” In fact, it wouldn’t be till the late 90s that we saw a measurable impact from computers.

Once again, it wasn’t any particular invention that made the difference, but an ecosystem that built up over years. The Internet paved the way for open-source software. Hordes of application developers created industry specific tools to automate almost every imaginable business process. Computers converged with phones to create the mobile era.

The 30 Years Rule

Look back at the two major eras of technology in the 20th century and a consistent theme begins to emerge. An initial discovery of a new phenomenon, such as electricity and internal combustion, is eventually used to create a new invention, like the light bulb or the automobile. This creates some excitement, and builds the fortunes of a few entrepreneurs, but has little impact on society as a whole.

Yet slowly, an ecosystem begins to emerge. Roads and gas stations are built. Household appliances and personal computers are invented. Secondary inventions, such as shopping malls, home appliances, the Internet and application software help create new business models. Those business models create new value and drive productivity.

The truth is that innovation is never a single event, but a process of discovery, engineering and transformation. As a general rule of thumb, it takes about 30 years for all of this to take place, because thousands, if not millions of people need to change their behavior, coordinate their activity and start new businesses.

That’s why the future will always surprise us. It is not any one great event that tips the scales, but some hardly noticeable connection that completes the network. Network scientists call this type of thing an instantaneous phase transition and there’s really no way to predict exactly when it will happen, but if you learn to look for telltale signs, you can see one coming.

A New Era Of Innovation

Today, we appear to be in a very similar situation to what those executives faced in 1919. We have decoded the human genome. Artificial intelligence has become a reality that everyone, for the most part, accepts. New computing architectures, such as quantum computers and neuromorphic chips, are in late stages of development by a variety of companies.

Yet once again, the impact has been negligible and it’s not hard to see why. While these inventions, in some cases at least, are relatively mature, they have yet to create the ecosystems that can drive a true transformation. Today, however, we can clearly see those ecosystems being created.

In fact, in artificial intelligence we can already see a fairly well developed ecosystem emerging already. In synthetic biology and genomics we can begin to see one as well, although it is still nascent. IBM has created a Q Network of major companies, research labs and startups to support quantum computing.

Here’s what’s important to know: We can’t predict exactly when the system will tip, but it’s a good bet it will happen in the next decade. It is also likely that the impact will be equal to or greater than the 50 year boom that began in the 1920s. Finally, it won’t be driven by any particular invention, but by ecosystems. You need to start figuring out how you will connect.

– Greg

An earlier version of this article first appeared on
Image: Wikipedia

2 Responses leave one →
  1. March 24, 2019

    Hi Greg, As always, I enjoy your blog topics. I hope more are paying attention as all need to. Sorry I have been silent a while but have some great stuff developed that helps others. The battle line seems between capitalism and the human ecosystem that defines success around internal & external values too few orgs pay attention to.

    I have been applying ecosystem insights since 1990 and respectfully, our definitions may vary. I pay more attention to synthesizing, connecting and meeting the requirements of human values, impacts and opportunities as a believer that people-powered orgs and markets determine your success or failure. Also that values-based business models are far more successful. SAP gets it and is moving that way albeit in a limited way.

    Here are a few of my concerns that helped me to define system-worthy solutions:
    1. The rate of tech, medical and science disruption the next 3 years will disrupt existing businesses that still hold on to 20th century approaches, disrupt ecosystems despite major improvements. I.E. Look at how higher Ed struggles to prepare students for emerging needs and how industry struggles. I see a partnership path.

    2. You might say tech is in a runaway mode and without conscious guidance, we could be facing major issues. It feels like a Terminator movie without direction.

    3. While easy to observe, I see a few folks citing that tech – notably cell phone addiction – has eroded our reasoning, relationship, problem solving, creativity and focus to list a few. That also impacts digital transformation where it fails to connect learning, with new actions, enablement, recognition and accountability. Our system does that whether we go it alone or partner with others who have part yet still fall short. I see a path to return tech to its original promise to enable humanity.

    4. That sets up my bigger point that if you look at tech, medical, science and other intelligence orgs, they are dominated by left brain types at a time when right brain types that evolve as I did, can have a huge impact on success as a system of human enablement, inclusion, inspiration, open dialog and more. These same orgs fail to see the ecosystem connections, shape trust, credibility and relevance.

    This is a time where technology buzz should follow applications that solve major needs and yet it still seems to be about tech for techs sake.

    Be well my friend,


  2. March 26, 2019

    Some great points! Thanks Bill.

    – Greg

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