Securities Regulation in 2047

Exploring the Future of Financial Markets Through Technological Innovation

Alex Makosz

Strategic Forecast

Finance | Tech | Regulation

Explore the Future

Introduction

The year 2047, when Hong Kong will fully rejoin China, represents a distant future that challenges our predictive capabilities. Thirty years ago, the commercial personal computer was nascent, and few could envision the internet's transformative power.

In 1986, we lived in a relative stone age regarding information access, data exchange rapidity, and processing power. Many struggled to believe computers would surpass humans at chess, and none could conceive of investing in decentralized autonomous organizations—as recently demonstrated by the Ethereum DAO's disappointing results.

"Despite our poor predictive abilities, the rate of technological improvement is accelerating, and regulators are not becoming any more able to predict how markets and financial behaviors will be affected by emerging technologies."

— Barney Frank, Big Think
1986
Personal computers emerge
2016
Fourth Industrial Revolution
2047
Securities regulation transformed

Emerging Technologies

Key technologies shaping the fourth industrial revolution

Blockchain Network

Blockchain

Distributed ledger systems and smart contracts

Blockchain Technology

Distributed ledger systems and smart contracts have the potential to disintermediate the world of finance, allowing financial transactions to occur at close to zero marginal cost. Blockchain technology promises to increase trust and security through elimination of human actors who can manipulate processes.

  • Zero marginal cost transactions
  • Elimination of back office work
  • Highly secure and public records
  • Decentralized Autonomous Organizations (DAOs)
AI Neural Network

Artificial Intelligence

The most powerful singular force of change

Artificial Intelligence

AI is possibly the most powerful singular force of change among all emerging technologies. Increases in AI power seem necessary for managing exponentially increasing amounts of data as the remaining 50%+ of world population and trillions of physical objects come online.

  • Processing exponential data growth
  • Replacing jobs across skill levels
  • Enabling advanced DAOs
  • Supercomputer access via cloud
IoT Devices

Internet of Things

100 trillion sensors by 2030

Internet of Things (IoT)

From 13 billion sensors in 2016 to an estimated 100 trillion by 2030. These sensors will track and quantify interactions between objects and people, enabling transactions between objects without human intermediaries.

  • 13B sensors (2016) → 100T sensors (2030)
  • Object-to-object transactions
  • Supply chain transformation
  • Fraud reduction through tracking
Quantum Computing

Quantum Computing

Exponential computational power

Quantum Computing

Expected to thrive on problems involving truly massive data sets. In combination with IoT sensors and blockchain records, quantum computing may provide new models of financial systems far more powerful than current capabilities.

  • Massive data set processing
  • Real-time predictive models
  • Global transaction analysis
  • Unprecedented financial insights

Convergence of Trends

How different trends will fit together

Increased Power of Capital

Disintermediation of Traditional Powers

Automation
AI
Blockchain
Smart Contracts

Key Implications

Labor Market Erosion

Increased automation, AI, and disintermediating technologies will destabilize employment-based wealth generation while making capital flows increasingly fluid.

Accelerated Development

Developing nations may leap-frog directly to advanced technologies, shortening the traditional development cycle and period of middle-class wealth development.

Skill Commoditization

Even professional skills and knowledge may become commoditized, reducing their value to the cost of accessing necessary hardware and software.

Securities Regulation in 2047

What this means for financial regulation

Regulatory Challenges

Keeping Up with Innovation

Regulators will face extreme pressure to employ AI, blockchain, and distributed ledgers to ensure market stability.

International Cooperation

Nationalist sentiment and unemployment may challenge multilateral agreements for integrated financial markets.

AI Decision Making

Regulators must grapple with instructing AIs in regulatory decisions and determining regulation purposes.

Rapid Change Cycles

Arms race in AI applications will lead to increasingly rapid cycles of significant economic change.

The Future Landscape

1

AI-Driven Regulation

Financial regulators may require the use of artificial intelligence instead of statistically inferior human actors in securities markets.

2

Concentrated Capital Power

High capital parties will exert stronger-than-ever influence over regulation shaping due to reduced government cooperation.

3

Quantum-Powered Models

Quantum computing will enable massively more advanced modeling of market activity and financial systems.

Key Takeaway

"Fundamentally, it is extremely difficult to make any accurate predictions about 30 years into the future. Nonetheless, I hope this thought experiment reveals some important trends and topics worth thinking about."

— Alex Makosz

Document Information

Title: Securities Regulation in 2047

Author: Alex Makosz

Object: Strategic Foresight

Year: 2016