Crypto - The bridge between today, an economic singularity and exponential age

Rapid technological advancements leading to the Exponential Age, brought about by the pace and transformation of artificial intelligence (AI) itself and its profound impact on society, sectors and all aspects of how we live, suggests that traditional economic structures will become obsolete by 2030. Crypto will be the one of the few systems that binds old paradigms with new, a bridge and societal conduct that carriers those that adapt into the exponential age.

Thus, the approaching economic singularity will see key areas affected by AI such as (and not limited to) job automation, financial markets, healthcare, education, legal services, transportation, agriculture, content creation, energy management, government and policy, consumer behavior analysis, and research and development.

Indeed, McKinsey predicts 400 to 800 million jobs will be displaced by automation by 2030, while the World Economic Forum estimates 97 million new jobs created by 2025 but 85 million displaced. Underpinning this, the pace and transformation of AI's integration is also expected to drive new economic models, with predictions such as AI in healthcare growing at a CAGR of 46.2% to reach $45.2 billion by 2026, and AI in financial markets already dominating 60-70% of U.S. equity trading volumes.

The full supporting white paper elaborates on the transformative impact of AI in various sectors, providing specific growth projections and statistics. For instance, AI in education is expected to grow at a CAGR of 40% from 2021 to 2027, with adaptive learning technologies said to justify a pivot towards experential learning and increase student outcomes by 30%. This, in an incredibly short space of time, driven by the demand for talent placed on the education, will unfreeze and replace the legacy-delivery approaches that have remain entrenched since the Victorian revolution.

Furthermore, in the legal sector, where AI-driven tools can analyse documents 100 times faster than humans with 95% accuracy, the market expected is to reach $1.89 billion by 2028, growing at a CAGR of 29.9%. Additionally, the global market for autonomous vehicles is projected to reach $556.67 billion by 2026, growing at a CAGR of 39.47%, significantly impacting the logistics industry. AI in agriculture is also expected to grow at a CAGR of 25.5%, reaching $4.5 billion by 2026, enhancing precision farming techniques and increasing crop yields by 30%.

Given the rapid demise of legacy media, as one immediate example, the integration of AI into content creation is projected to continue to severely disrupt the news reporting, design and creative industries, with the global market for AI in content creation expected to reach $1.5 billion by 2025, growing at a CAGR of 27%. AI's role in energy management is also highlighted, with the smart grid market expected to reach $92.97 billion by 2027, growing at a CAGR of 19.8%, and AI-driven energy management systems reducing energy consumption by up to 30% - key factors in reframing the 20th century structures of GDP.

Similarly, AI in government is expected to grow at a CAGR of 35.7%, reaching $6.5 billion by 2025, with AI-driven policy tools able to analyse data 100 times faster than traditional methods. AI in retail is also projected to reach $24.1 billion by 2028, growing at a CAGR of 29.9%, with predictive analytics expected to the focus of increased sales by 20% and reduce customer churn by 15%.

Thus, the supporting paper outlines these factors in more detail and concludes by discussing the broader implications of these technological advancements, including the potential for an economic singularity where traditional economic models and job structures may no longer be recognisable let alone viable. Where Crypto is the bridging mechanism between paradigms, the paper emphasises the need for organisational recognition, adaptation and investment in new technologies, as well as the importance of upskilling the workforce to embrace AI and automation.

Amid this major societal transformation, towards the exponential age, the paper and video also highlights the challenges posed by global population decline, particularly in developed countries, and the necessity for innovative economic strategies to address these issues. Finally, it underscores the importance of renewable energy in supporting technological advancements and driving new enterprise design, workforce and sector productivity, and following accelerating de-globalisation, advocates for further de-centralised self-reliant communities and energy systems to achieve buy in, scale and adoption.

White Paper