Technology Feels Like It’s Accelerating — Because It Actually Is

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This is the second in a four-part series looking at the big ideas in Ray Kurzweil's book The Singularity Is Near. ​Be sure to read the other articles:

“Technology goes beyond mere tool making; it is a process of creating ever more powerful technology using the tools from the previous round of innovation.” –Ray Kurzweil

A decade ago, smartphones (as we know them by today's standards) didn't exist. Three decades earlier, no one even owned a computer. Think about that—the first personal computers arrived about 40 years ago. Today, it seems nearly everyone is gazing at a glowing, handheld computer. (In fact, two-thirds of Americans own one, according to a Pew Report.)

Intuitively, it feels like technology is progressing faster than ever. But is it really? According to Ray Kurzweil—yes, it absolutely is. In his book The Singularity Is Near, Kurzweil shows technology's quickening pace and explains the force behind it all.

This article will explore Kurzweil's explanation of this driving force, which he dubbed the law of accelerating returns, and the surprising implications of technology's acceleration.

Moore's Law is famous—but it isn't special

Computer chips have become increasingly powerful while costing less. That's because over the last five decades the number of transistors—or the tiny electrical components that perform basic operations—on a single chip have been doubling regularly.

This exponential doubling, known as Moore's Law, is the reason a modern smartphone affordably packs so much dizzying capability into such a small package.

[Moore's Law may be nearing certain physical limitations that will be challenging to overcome. Go here to learn how broad exponential growth in computing can continue.]

The technological progress in computer chips is well known—but surprisingly, it isn’t a special case. A range of other technologies demonstrate similar exponential growth, whether bits of data stored or DNA base pairs recorded. The outcome is the same: capabilities have increased by thousands, millions, and billions for less cost in just decades.


The above charts show a few examples of accelerating technologies, but more examples are plentiful. These do not directly depend on the doubling of transistor counts—and yet each one moves along its own exponential curve just as computer chips do.

So, what's going on?

According to the law of accelerating returns, the pace of technological progress—especially information technology—speeds up exponentially over time because there is a common force driving it forward. Being exponential, as it turns out, is all about evolution.

Technology is an evolutionary process

Let’s begin with biology, a familiar evolutionary process.

Biology hones natural “technologies,” so to speak. Recorded within the DNA of living things are blueprints of useful tools known as genes. Due to selective pressure—or “survival of the fittest”—advantageous innovations are passed along to offspring.

As this process plays out generation after generation over geological timescales, chaotically yet incrementally, incredible growth takes place. By building on genetic progress rather than starting over, organisms have increased in complexity and capability over time. This innovative power is evident nearly everywhere we look on Earth today.

“Evolution applies positive feedback,” Kurzweil writes. “The more capable methods resulting from one stage of evolutionary progress are used to create the next stage."

Biology’s many innovations include cells, bones, eyes, thumbs, brains—and from thumbs and brains, technology. According to Kurzweil, technology is also an evolutionary process, like biology, only it moves from one invention to the next much faster.


Civilizations advance by "repurposing" the ideas and breakthroughs of their predecessors. Similarly, each generation of technology builds on the advances of previous generations, and this creates a positive feedback loop of improvements.

Kurzweil's big idea is that each new generation of technology stands on the shoulders of its predecessors—in this way, improvements in technology enable the next generation of even better technology.

Technological evolution speeds up exponentially

Because each generation of technology improves over the last, the rate of progress from version to version speeds up.

To see this, imagine making a chair with hand tools, power tools, and finally assembly lines. Production gets faster after each step. Now imagine each generation of these tools is also used to design and build better tools. Kurzweil suggests such a process is at play in the design of ever-faster computer chips with the software and computers used by engineers.

"The first computers were designed on paper and assembled by hand. Today, they are designed on computer workstations with the computers themselves working out many details of the next generation's design, and are then produced in fully automated factories with only limited human intervention." - Ray Kurzweil, The Singularity Is Near

This acceleration can be measured in the “returns” of the technology—such as speed, efficiency, price-performance, and overall "power"—which improve exponentially too.


The acceleration of acceleration: It’s a bit like climbing a mountain and receiving a jetpack.

Further, as a technology becomes more effective, it attracts more attention. The result is a flood of new resources—such as increased R&D budgets, recruiting top talent, etc.—which are directed to further improving the technology.

This wave of new resources triggers a “second level” of exponential growth, where the rate of exponential growth (the exponent) also begins accelerating.

However, specific paradigms (e.g., integrated circuits) won't grow exponentially forever. They grow until they've exhausted their potential, at which point a new paradigm replaces the old one.

The surprising implications of the law of accelerating returns

Kurzweil wrote in 2001 that every decade our overall rate of progress was doubling, “We won't experience 100 years of progress in the 21st century—it will be more like 20,000 years of progress (at today's rate)." 

This suggests that the horizons for amazingly powerful technologies may be closer than we realize. Some of Ray Kurzweil’s predictions from the last 25 years may have seemed a stretch at the time—but many were right.

Like in 1990 when he predicted that a computer would beat a pro chess player by 1998, which came true in 1997 when Garry Kasparov lost to IBM’s Deep Blue. (Now, in 2016, a computer has mastered the even more complex game Go—an accomplishment not expected by some experts for another decade.)

We’re only 15 years into the 21st century and the progress has been pretty stunning—the global adoption of the Internet, smartphones, ever-more agile robots, AI that learns. We sequenced the first human genome in 2004 at a cost of hundreds of millions of dollars. Now, machines can sequence 18,000 annually for $1,000 a genome.

These are just a few examples of the law of accelerating returns driving progress forward. Because the future is approaching much faster than we realize, it's critical to think exponentially about where we're headed and how we'll get there

To learn more about the exponential pace of technology and Ray Kurzweil's predictions, read his 2001 essay "The Law of Accelerating Returns" and his book, The Singularity Is Near.

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Discussion — 9 Responses

  • Richard Tripp March 23, 2016 on 5:44 am

    Great article, Alison and Jason! I’m an SU alum, and I’ve been tinkering with a new concept I call the “Kurz Unit”–named in honor of Ray–which enables clearer discussion of the rate of accelerating returns, particularly for information tech professionals who are trying to successfully innovate during this period. Here’s what I have so far (, and I’ll be posting more visualizations and discussion of implications later this week.

  • Richard Tripp March 23, 2016 on 5:45 am

    Er, “law of accelerating” returns, rather.

  • Khannea Suntzu March 23, 2016 on 7:17 am

    As you fall in to a singularity there is several stages that are relevant to all this.

    1 – you slowly move in to a decaying orbit around a black hole. Decaying orbits come in all sizes, but the only one where you can survive the torque of angular momentum is the one that goes straight down. Any sideways motion relative to the black hole and you orbit. Orbit and you get ripppp from tidal pull as you crazily whirls around the black hole and G forces climb from freefall to dozens of G. There’s a lesson for technological singularity there, and yes, as a human society we are currently entering orbit around a black hole and yes society is already experiencing quite a bit of tidal pull.

    2 – as you move in to the black hole and have survived orbital rip you approach the hole time goes slower for you and relatively speaking the rest of the universe “behind you” is speeding up. That means that you get to experience billions of years of illumination in seconds. This is a lot of energy to process. If you can’t stand all that heat you are likely to end up burned to single high energy photons. Again there’s a lesson for technological singularities there. Too much input overloads any system so to speak.

    3 – you move deeper in to the schwarzschild radius and essentially that moment you are cut off from everything. There is no longer an outside. The whole of reality has evaporated and you are still there in an ever shrinking darkness. All paths around you now lead towards the singularity. There is no longer an up and down. All leads to a single destination.

    4 – Quite suddenly the pull becomes so great that everything constituting a single coherent hole of you-ness is accelerated in to – again – high energy photons.

    5 – your constituent particles coalesce at the planck level not far from the actual black hole, in eternity. What was you becomes non information compressed at maximum density, without any flow of time whatsoever. Again, there is a clue for technological singularity there somewhere.

    6 – there is no 6.

    But hey it sure is the scenic route,

    • Ralphoo Khannea Suntzu March 28, 2016 on 8:56 pm

      That was very interesting but now where am I?

    • RalfLippold Khannea Suntzu April 2, 2016 on 12:48 pm

      Khannea – I like the metaphor of the “black holing process” with society. It would be even more enriching to name some of the major forces that currently lead to the observed turbulences. Actually it is a field I am passionately working on: bringing to pair technology and social needs in order to avoid the “black hole” of society.

      Emergence of a new future of abundance, and richness for all humans instead of some going forward exponentially accelerating and others being stuck in the past, or on the ground could be possible.

  • Mark Plus March 24, 2016 on 10:12 am

    Peter Thiel, Tyler Cowan and Neal Stephenson have all argued that we live in a technologically stagnant era in a lot of ways. Stephenson even jokes that a century from now, moon landing denialism will become the mainstream view, while the people who argue that the moon landings happened will sound like today’s conspiracy theorists.

    • Ralphoo Mark Plus March 28, 2016 on 8:57 pm

      I like that. Sort of. Wait, no, I don’t like it at all.

  • bks March 28, 2016 on 5:02 pm

    They promised me a jet pack and all I got was this stuffed-up Roomba.

  • dobermanmacleod May 24, 2016 on 4:12 am

    The Singularity Feedback Loop: Intelligence creates technology, Technology improves intelligence. Even having a good grasp of exponential technological improvement, I am still taken aback by its implications for me any my society.

    One thing I will say is that The Law of Accelerating Returns is not being considered when formulating policy for either the military or foreign affairs. Billions (in fact trillions) are being wasted (for what amount to) fighting the last war.