Thoughts on a New Era: From Wheat to Networks

Human society is now rapidly evolving from a services-based economy to a network and intelligence-based economy.

But what does that mean, and what can we expect from the future? The following broad historical view could be helpful in putting current changes into context.

The hunter-gatherer stage of human evolution kicked off as early as 2.5 million years ago with early species such as Homo habilis (when tool use and foraging first emerged). In terms of modern-day humans, we could say that the start was with Homo sapiens around 300,000 years ago. The default mode of production was the use of simple tools to hunt and trap various animals and dig up tubers, crack open hard-shelled fruits etc.

This was the default mode of human existence until 12,000 years ago, when a big technological leap occurred: humans domesticated wheat and other plants. As an interesting side note, looking at Earth from space, an alien may argue it was actually wheat that domesticated humans – if you find this topic interesting a good book to read is Oceans of Grain.

The move to farming was a big leap indeed. As a result, human populations across the world increased from an estimate of 1 – 10 million to about 150 – 300 million by 1 CE. The farming revolution also allowed for excess food production that could now employ people not involved in the production of sustenance and food gathering. Thus armies, kings and queens, priests, and empires entered the rapidly growing world. In many ways, we can say that this was the beginning of history. Think the Mayans, Ancient Greece, and the Roman Empire.

The farming boom lasted about 11,000 years until in around 1760 CE the industrial revolution kicked off in Britain. It started with mechanization (think spinning jenny, the steam engine, etc.) and was fuelled by coal and urbanization. Human population once again turbo charged, going from 770 million globally in 1760 to 2.5 billion in 1950.

The industrial age lasted even shorter, in total less than two hundred years until the mid-20th century when the services-based economy and the digital age was ushered in. This was characterized by the first computers, the growth in financial markets. There were big population and employment shifts. Just as workers had moved out of farms and into factories in the industrial age, those workers now moved into offices in the services age. Population also ballooned, to 8 billion in 2022.

And what were the factors of production in each of these ages? For hunter-gatherers it was wild resources and human effort with no capital beyond simple tools to speak of. Entrepreneurship just meant taking risk to survive in the literal jungle.

As we moved into farming, wild resources were replaced with cultivated fields, a labour class of farmers and herders emerged, complemented with specialized classes of priests, soldiers and administrators. Capital tools got an upgrade, animals were domesticated. Entrepreneurship started emerging with landlords, traders, and innovations like crop rotation.

In the industrial age, labour continued to specialize even further, with concentrated factories urban centres started growing, and as heavy investment such as factories and infrastructure were needed, capital entered the stage in a big way as a factor of production. It is no surprise that Das Kapital was written during this transformative age. Hand in hand with capital, entrepreneurship also evolved, risk was scaling and robber barons such as Rockefeller, Watt and J.P. Morgan entered history.

In the services age, knowledge workers that used their brains instead of muscles emerged. Capital shifted to include more abstract things such as brands and patents. We can also think of this as the knowledge economy, and human labour was still a limiting factor, but more because of their knowledge and reasoning capacity, not their arms and legs.

We have now entered the network and intelligence age, and the factors of production, as well as the limiting factors on economic growth are once again shifting. On the labour front, humans that used to be knowledge workers in offices are now rapidly moving out, being replaced by computers that can reason faster, more consistently and more accurately.

As a result, on the capital front, the main constraint of growth is shifting from humans to computational power (electricity plus advanced chips).  Economic moats are not built around big offices or big factories, but proprietary networks and the data they generate.

The networks of this age are multi-faceted and intertwined. On top of communication networks (satellites and cables) we have financial networks (Visa, MasterCard, Swift), as well as social networks (X and others). These networks generate vast amounts of data that in turn fuels the vast computer intelligence that is evolving ever faster.

This age is also characterized by ever faster innovation and disruption, yet those that control the networks and the computers will yield unprecedented power.

So what does this mean for entrepreneurs working with QED and building in this age? Access to proprietary data and building a network is most certainly the holy grail. If your business does not have strong elements of this, even if in a niche form, you may want to reassess your business plan.

Given that the pace of innovation and disruption is increasing, opportunities for entrepreneurs are also multiplying. Look for incumbents that are hampered by regulation and may be slow to react to the new age.

The skills that are needed in this age are agility, speed, adaptability and calculated risk taking. Taken together, these amount to being anti-fragile – building organizations that emerge stronger from each successive disruption and shock. You will also have to be good at incorporating non-human agents into your org structure. Sounds simple, but laws, regulations, and human nature will complicate it.

Yet capital is still needed. Computing power will not be free, whether from humans or machines. And acquiring customers still costs money. As QED, we are here to help.

Determinism, Free Will, and AI

First, a bit of a warning. This blog is less about fintech and investing, and more about philosophy. And it gets a bit trippy towards the end. So, if that’s not your thing feel free to wait for the next instalment which is likely to be about reassuringly familiar topics around tech, money and AI.

In the meantime, speaking of AI, let’s look at it for a moment in the context of determinism vs. free will.

For those not familiar with this philosophical paradox, I usually frame it as follows: If an all knowing being existed, given its all-encompassing knowledge of the universe, it would be able to run the tape forward one click and predict the future with ease.

We can think of this entity as God, or All Knowing Intelligence “AKI”, or the Conscious Universe, but in either case, given its vast intelligence and knowledge, the future would be knowable for It.

This being would know the state of every electron and synapse in our primate brains, and predicting what we were about to do next (write a blog perhaps?) would be trivial.

The paradox then states, if each of our actions are thus pre-ordained to this AKI, can we as humans really be thought of as having a free will? Or are we simply slaves to the interaction between the universe as it is today and the current configuration of the synapses in our brain, acting out our lives in banal predictivity?

But here’s where AI shakes it up.

The way I had approached this question for the vast majority of my adult life was that it was a trick question. From the perspective of the AKI, yes, all is knowable, but from our limited human perspective it is not. So as far as we humans are concerned, we need to act as if free will exists and get on with our lives. And whether an AKI or God exists takes us from the realm of philosophy, into theology.

Well, now that we have ever faster and more powerful computers ingesting seemingly unlimited data, rapidly connecting to those data sets, and with LLMs actually speaking to us like our next-door neighbour, it may be worth visiting the question of an AKI once again.

Given the power, the connectivity and access to near all-encompassing data, this AKI would be able to see and understand things beyond human capabilities yet explain that to us in our everyday language. And while perhaps not yet fully deterministic, it would certainly be able to predict things better than humans can.  This almost takes us out of philosophy and into the present day. Think of AI already predicting your next Spotify song – it’s not God, but it’s close.   

But let’s jump back into philosophy for a second and assume that the AKI is as the name implies, truly All Knowing. What does that mean for the age old questions?

For an AKI, the future is knowable. Similarly, the past, which has already transpired, is also knowable, and is merely a matter of good record keeping.

Given that both the future and the past are equally knowable from the perspective of this AKI, the distinction between past and future, at least the way we humans think about it, would start to collapse.

What we think of as past and future would be different states of matter and energy interactions in the universe. In simpler words, all that would remain would be an ever lasting yet ever changing present.

From this perspective, the concept of time itself starts to collapse, and reveals itself as an illusion that is amplified by our limited human minds that can remember the past but cannot predict the future. In fact, our human attempts at measuring time is really just an incomplete proxy for measuring change. Einstein’s discovery that time itself is relative can be thought of as a step towards saying time as we know it does not exist.

Only matter, energy, and everlasting forces of change do.