This quote comes from the late statistician George Box. Box meant that all models are imperfect representations of reality because the factors are, by definition, simplified. However, simplified factors can still be valuable for providing insight and understanding in predicting real-world phenomena. Here at Technology Cycles Org, we seek to remedy that. Scroll on …

Carlota Perez’s Five Technology Cycles

What makes Perez’s model revolutionary is its recognition that technological change is not random or chaotic, but follows a disciplined rhythm spanning 50-60 years per complete cycle. Each revolution moves through two distinct periods—Installation and Deployment—separated by a critical turning point that often appears catastrophic to those experiencing it. This pattern has held constant across five major technological revolutions, suggesting fundamental laws governing how societies absorb and benefit from transformative technologies.

The model’s power lies in its ability to explain why technological progress feels so turbulent and why the most promising innovations often precede periods of economic and social upheaval. By understanding these patterns, we can better navigate our current technological moment and anticipate the institutional changes required to unlock widespread prosperity.

Learn about the Five Technology Cycles since the onset of the Industrial revolution

Technology Cycles effect virtually every facet of our lives. Their relevacne can not be overstated. Check out why.

Relevance of Technology Cycles

Your Attractive Heading

The Four Macroeconomic Models

Neither evolutionary economics nor technological cycles is yet mainstream economic canon. Many believe that understanding core innovation cycles delivers more insight and understanding than all the macroeconomic models combined. Utilizing technology-cycle models as the baseline could provide tremendous insights and breakthroughs in the rising field of evolutionary economics.

The four macro economic schools

Technology Cycles.Org Mission

The primary mission of this site is to provide a clear history of the models while dispelling the myths that have grown up around them. In conjunction with its primary mission, it is to house reference and innovation data. The purpose of this website is to house the most complete breadth and depth of information and reference data.

This information could not be more relevant for those seeking solutions to current problems. Finally, it is provided as a spark for new thinking.

TechnologyCycles.Org – our Mission

Technology Cycle Section Highlights

The Five Cycles

Model Evolution

Singularity Stacks

Relevance

Biographies

5th cycle career

To Know More

AI Today & AI Modeling Tomorrow

Today, AI is being credited with both positive and negative outcomes. The reality is that AI is still in its infancy. As AI matures, the ability to train it to model the technology cycles will become increasingly feasible. At Technology Cycles.Org, the issue is not whether or not AI can replicate human sentience. Instead, imagine AI models that in the future will replicate the factors required to project technology cycle growth rates and contractions accurately.

AI technology cycles that will simulate complex economies. No more having to perform brain surgery in real-time on the economy. Instead, computers can help guide us through the economic transitions of the technology cycles. Article coming in the future.

You are invited to review the requirements for training AI for these extremely large economic models.

Building an AI Visual Lexicon

AI Visual Lexicon

Today, AI can chat easily via advanced speech pattern recognition. Soon, AI will be able to understand images, as it has shown it can with unstructured data, like words. The AI (GPT) models have come a long way rapidly. The problem is that AI will not be able to learn large-scale modeling using the same approach used to train AI today.

This section will house a proposed lexicon to assist AI in constructing immense models. Technology cycle models will require models of the size that physicists utilize to model the universe. The basis of this lexicon will show how technology cycles invented modernism.

Read about how technology cycles invented modernism here

Technology Cycles Experiment History

Examining the impact of technology cycles visually by reviewing the very early experiments.
The clarity of these visualization studies can make the point pretty clearly.