Could Kodak have predicted that digital photography would dominate over films?

The GetFocus case study on Kodak demonstrates how AI predictions could have helped the company foresee the dominance of digital photography over film as early as 1983. Using our improvement rate measurements for film and digital imaging technologies, GetFocus' analysis showed that digital was improving faster than film, indicating an impending disruption. This insight, available almost two decades in advance, could have allowed Kodak to adapt before the decline in film sales began.

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“It would have been great if we’d had something like GetFocus to show management how serious the situation was”

Ronald S. Cok

Ex Research Fellow, Kodak

The Challenge

Could Kodak have predicted that digital photography would dominate over film? And if yes, how early could they have known?

The Outcome

If GetFocus would have existed at the time, Kodak could have known its film business would eventually be disrupted as early as 1983.

Kodak should have seen it coming and adapt while it had a chance

Kodak was the largest photography company in the world by far, until it missed the boat on the digital photography revolution.

Could Kodak have predicted that digital photography would dominate over film? And if yes, how early could they have known?

Introduction

One of the most famous technology disruptions in history is the disruption of Kodak, where its main product, silver halide photo film, was entirely replaced by digital imaging photography (more specifically, by CCD digital imagers). If GetFocus would have been around at the time, could Kodak have seen it coming?

In this example we investigate how Kodak’s management could have used GetFocus to predict what was going to happen to the photography industry. All the insights generated in this example were generated with invention data that was publicly available at the time. There is no hindsight whatsoever.

Could Kodak have seen it coming with GetFocus?

With only 2 simple searches on the GetFocus platform, one for silver halide film technology, and one for CCD digital imagers, it would have been possible to predict the disruption. With GetFocus, Kodak could have identified all relevant inventions, and would have been able to calculate the improvement speeds for both technologies.

First let us look at the patent trend for each technology. All patents in this chart were identified with the GetFocus platform.

As can be seen, CCD digital imagers only start out-patenting film in 2010, when film’s disruption was already well underway. If the goal is to predict the future, studying patent counts is unhelpful at best, and deceiving in most cases.

Next, let us take a look at GetFocus’ technology improvement speed estimates, which are calculated using the same patent data, but then while looking at GetFocus’ cycle time and knowledge flow metrics rather than patent counts.

In the chart above, you can see that the improvement speed for CCD digital imagers has been consistently higher than that of silver halide film since 1983. If technology A consistently improves faster than technology B, then disruption is only a matter of time.

If Kodak’s management would have had access to this insight in 1983, it would have had 17 years to come up with a plan before film sales went off a cliff in 2000.

Conclusion

Kodak’s management could have known that its film business was about to be disrupted almost 2 decades before it eventually happened.

With GetFocus, you can see technology disruption coming up to decades in advance. After conducting 2 simple searches, which takes only a few minutes, you can monitor the improvement speed of any technology. Among competing technologies, the fastest improving technology always wins.

  • Kodak could have known about the digital disruption as early as 1983.
  • Management would have had 17 years to come up with a plan on how to mitigate the situation.
  • Without GetFocus, it is impossible to get a fast quantitative measurement of a technology’s improvement speed.
  • All the insights shown in this example were generated with data that was publicly available at the time, there us 0 hindsight.

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