Download my free book about how AI will automate jobs and lead to technological unemployment: “The Lights in the Tunnel”

The Lights in the Tunnel

Recent advances make it clear that ever more powerful AI is destined to become commoditized, cheap and ubiquitous. It is inevitable that this machine intelligence will be directed toward automating jobs


The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future was self-published on Amazon’s platform in 2009—16 years ago and 3 years before the first deep learning algorithms powered by Nvidia chips caught the world’s attention by proving to be remarkably adept at identifying the objects in digital images. The book argues that artificial intelligence will eventually lead to widespread job automation and technological unemployment, and that this will be a threat not just to individual livelihoods but to the economy as a whole. It does this by employing a visual thought experiment, or imaginary simulation, involving “lights in a tunnel” to illustrate the impact of automation.  The book goes beyond simply proposing a set of policy prescriptions and instead uses its imaginary simulation to propose the framework for an entirely new economic paradigm that could lead to long term prosperity in the new age of artificial intelligence.

In spite of its self-published status and a non-existent marketing budget, the book sold over 10,000 copies. The book was mentioned, reviewed or excerpted in The Economist, The Washington Post, the Associated Press, USA Today, The Atlantic, The Los Angeles Times, Forbes, Slate, The Daily Telegraph, The Guardian, Der Spiegel, and The Globe and Mail.  The success of The Lights in the Tunnel was certainly an important factor in convincing Basic Books to take a chance on my subsequent book, Rise of the Robots: Technology and the Threat of a Jobless Future, which went on the become a New York Times bestseller and to win the 2015 Financial Times Business Book of the Year Award.

The release of the Chinese AI-startup DeepSeek’s powerful but highly efficient ChatGPT competitor in January 2025, offers clear evidence that ever more powerful AI is destined to become commoditized, cheap and ubiquitous. It is inevitable that this machine intelligence will be directed toward automating jobs, and the impact of this may come much sooner and more suddenly than we expect.  Given this, I am releasing this free version of The Lights in the Tunnel in the hope that it will lead to increased awareness and discussion of the potential risks we face.    

While the book was written in the context of technology as it existed in 2009, I believe it has proved to be quite prescient.  For example, I wrote 16 years ago that “…Microsoft and hundreds of other software companies are actively seeking the next killer app—something that will fully leverage the vastly increased computer power that will be available in the coming years and decades. I think that there are good reasons to believe that this next killer app is going to turn out to be artificial intelligence (AI). AI applications are highly compute intensive and will take full advantage of all the computational power that new processors can offer.”

More importantly, the thought experiment that I presented in 2009 is completely independent of the details of the technology and is clearly far more relevant to the world today than it was 16 years ago.  I wrote the book because I believed the impact of AI of the job market would be one of the most critical forces to shape the future.  The advances we have seen in AI beginning with the release of ChatGPT a few years ago—as well as the dramatic progress that is also occurring in the field of robotics—strongly reinforces this belief. 

I hope you will enjoy this book and also consider sharing it with others.  If you prefer a paperback or Kindle version, you can find these on Amazon.


My more recent books are also available:

Rise of the Robots: Technology and the Threat of a Jobless Future

Architects of Intelligence: The Truth about AI from the People Building It

Rule of the Robots: How Artificial Intelligence Will Transform Everything

How will technology affect society in the future?

It’s reasonable to assume that as technology continues to accelerate, we can expect dramatic changes in the years and decades ahead. Most of us have come to take rapid technological improvement in the products and services we use for granted. But when technology has a broader impact on society and on the economy, the changes are generally much harder to accept, and there tends to be a great deal of resistance and denial.

My purpose in starting this blog is to explore some of these broader issues. In particular, I want to focus on how advancing technology will impact the future economy. There is much discussion elsewhere of advanced technology itself and of the direct impacts it may have on society. This ranges from dystopian concerns about gray goo and intelligent machine  overlords raised by Bill Joy and others, to the far more optimistic views of Ray Kurzweil and Aubrey de Grey—who are both looking forward to technologically enabled immortality.

So far, I have not seen a great deal of deep thought given to how the future economy will work. Most people—and nearly all economists—make the obvious assumption about that: they assume the economy will essentially work the way it has always worked. The basic principles that govern the economy are seen as being relatively fixed and reliable. Economists look to history and find evidence that the free market economy has always adjusted to impacts from advancing technology and from resource and environmental constraints, and they assume that the same will always occur in the future. Crises and setbacks are temporary in nature: in the long run, the economy will rebalance itself and put us back on the path to prosperity.

Is it possible that that assumption is incorrect? In his book, Collapse: How Societies Choose to Succeed or Fail, Jared Diamond tells the story of farming in Australia. When Australia was first colonized, the new arrivals found a relatively lush, green landscape. They invested heavily in developing farms on this seemingly fertile land. Within decade or two, however, reality struck. The farmers found that the overall climate was actually far more arid than they were initially led to believe. They had simply had the good fortune (or misfortune) to arrive during a climactic “sweet spot” — a period when there was far more rain than is normally the case. Today in Australia, you can find abandoned farm houses in the middle of what is essentially a desert.

As a result of the current crisis, macroeconomics is in disarray. The various schools of economic thought (and their accompanying mathematical models) have all been built upon observations and analyses that have occurred over a relatively short period of time—at a maximum, the 230 years since Adam Smith, but as a practical matter, a much more recent period. Is it possible that economists, like the farmers in Australia, have built their models based on observations that have been made during an economic sweet spot? Perhaps the historical observations that underly much of economic theory have taken place during a period when we have had enough technology—but not too much. What if we are now advancing out of that economic sweet spot and encountering a new reality in which different economic principles will apply?

That is obviously a radical view that I expect to be widely criticized or, more likely, ignored. Nonetheless, I think it is very possible, and I think that the major factor underlying the transition is a change in the relationship between workers and machines. Historically, machines have been tools used by workers. Over time, machines have advanced to become better and better tools that have increased the productivity, and therefore the value (and wages), of workers. Now however, we are entering an age when machines, on average, will begin to approach autonomy, and as a result, the value that the average worker adds may begin to decline dramatically. That, I think, has the potential the change the basic operating principles of the future economy.