Introduction
You face a world of accelerating technological change that disrupts your business, government, and daily life. You struggle to keep pace as digital, physical, and biological domains merge into a single transformative wave.
Klaus Schwab argues in The Fourth Industrial Revolution that this new era differs fundamentally from past upheavals due to its velocity, scope, and systemic impact. You must understand these driving forces to anticipate disruptions and shape a positive future.
The book is structured into two main parts that guide you through this landscape. The first part examines the underlying technologies and their general systemic impacts. The second part details specific technological domains and outlines practical strategies for leaders.
You will find answers to several critical questions as you read:
- How do emerging technologies interact to reshape global systems?
- Which specific breakthroughs in computing, physics, and biology matter most?
- How can you adapt your leadership approach to ensure human-centered outcomes?
1. Framing the Fourth Industrial Revolution
The Fourth Industrial Revolution builds on the digital capabilities of the third revolution and is driven by interacting emerging technologies that scale exponentially.
Four Industrial Revolutions
The First Industrial Revolution began in mid-18th-century Britain with textile mechanization and the steam engine. This transition raised growth rates from around 0.2 percent per year in rich countries before 1750 to 2 to 3 percent annual growth rates by 1850 in the same countries.
Cotton textile production grew at 9.7 percent per year between 1780 and 1801. It slowed to 5.6 percent from 1801 to 1831, while iron production grew at 5.1 percent and 4.6 percent over the same periods.
The Second Industrial Revolution lasted from 1870 to 1930 and brought electricity, the internal combustion engine, and synthetic fertilizers. The Third Industrial Revolution arrived around 1950 and introduced digital computing and information theory. The Fourth Industrial Revolution integrates 12 clusters of advanced technologies.
These historic shifts produced a 2,900 percent increase in average real income per person in OECD economies since the first Industrial Revolution. They also extended life expectancy from 40 to over 80 years in the United Kingdom and from 23.5 to 65 years in India.
Key Challenges
You must actively manage the distribution fairness, negative externalities, and human-centered imperatives of the new era.
The first major challenge of the Fourth Industrial Revolution is ensuring that its economic benefits and resulting wealth are distributed fairly within countries. Global inequality between countries has decreased since the 1970s due to emerging markets, but inequality within countries is rising. People miss out when systems are unavailable, unaffordable, irrelevant, biased, or structured to privatize profits and concentrate wealth.
Annual median incomes declined by 2.4 percent in advanced economies between 2011 and 2016. The United States recorded a reduction in life expectancy in 2015 for the first time in over 25 years, driven mainly by declining health among working-class whites.
The second major challenge requires actively managing negative externalities and severe risks associated with powerful new technologies. In past revolutions, too little effort was expended to protect vulnerable populations, the environment, and future generations from second-order impacts or deliberate misuse.
Geoengineering projects could cause sudden, irreversible damage to the biosphere. Quantum computing might render current cryptographic approaches obsolete. Private autonomous vehicles could worsen urban traffic congestion, and virtual reality can exacerbate online harassment.
The third major challenge is ensuring the Fourth Industrial Revolution remains human-led and human-centered, preserving human values and meaningful agency. Emerging technologies can intrude into private mental spaces by reading thoughts and influencing behavior. They process data beyond human comprehension, alter biological building blocks, and spread at unprecedented speeds across digital networks.
A New Leadership Mindset
Guiding the new era requires focusing on systems rather than individual technologies, recognizing that well-being depends on the broader structural framework. It is tempting to focus narrowly on gadgets, but what truly matters are the systems that deliver well-being. With political will, investment, and cooperation, new technologies can improve these systems. Without them, technologies can degrade existing arrangements.
You must reject technological determinism and instead design systems that empower humans with greater choice, freedom, and control. Technology should not be viewed as an inevitable exogenous force or a purely neutral tool. Instead of accepting that technological change cannot be controlled, societies must consciously value human agency and decision-making.
Social and political systems must be shaped proactively through intentional design thinking rather than passively resigning to default options. Applying human-centered design and systems thinking helps reveal how new technologies shift systems into new configurations.
Values are implicitly embedded into all technologies from inception to deployment and must be actively debated at every stage of innovation. Treating technologies as entirely value-neutral tools is misleading. You must recognize that values are baked into technical architecture and evaluate them continually rather than only reacting after harm occurs.
2. Connecting the Dots and Embedding Values
You must combine a macro-level perspective on connected systems with a foundational understanding of specific technologies while rejecting technological determinism.
Core Dynamics
Navigating the Fourth Industrial Revolution requires a dual approach combining a macro-level perspective on connected systems with a foundational understanding of specific technologies. Klaus Schwab references John Hagel's zoom-out zoom-in strategy. You can gain a minimum viable appreciation of specific technologies while seeing systemic connections across fields.
- Gain a minimum viable appreciation of a range of specific technologies and their capabilities in order to better understand their potential and how they are being used.
- Connect the dots through an understanding of the relationships between technologies and systemic changes that they help catalyze.
Fourth Industrial Revolution technologies share four common dynamics. They build on and transform digital systems, scale exponentially, emerge physically, and combine to produce compounding disruptions. Unlike previous eras, these tools leverage existing digital infrastructure to diffuse globally at unprecedented speeds. It took the telephone 75 years to reach 100 million users, while the internet garnered 100 million users in under a decade. They transition from abstract code back into physical objects and merge to form unpredictable feedback loops.
UPS offers 3D printing and scanning services in almost 100 stores across the United States to help customers create prototypes and personal accessories.
The rapid expansion of emerging technologies threatens to widen social inequality, displace labor, and create negative externalities across global security and health. Market concentration among digital monopolies creates severe imbalances. Google controls nearly 90 percent of the global search advertising market share, Facebook controls 77 percent of mobile social traffic, and Amazon holds nearly 75 percent of the e-book market share. Advanced self-learning algorithms potentially collude on prices, while the gig economy creates alternative work arrangements. In the United States, 94 percent of new jobs created between 2005 and 2015 were in alternative forms of work that lacked social protection and labor rights.
Politics of Technology
To effectively govern the Fourth Industrial Revolution, society must reject the misleading views that technology either irresistibly determines the future or remains entirely value-neutral. Treating technology as an unstoppable deterministic force places it outside human control, while viewing it as a neutral tool divorces developers from moral responsibility. Germany decided in 2011 to close the last of its nuclear power reactors by 2022, demonstrating that societies retain the agency to reject specific technological paths.
All technologies are political in the descriptive sense. They are social products that embody specific assumptions, values, and compromises that alter societal power structures. You must recognize this political nature and take responsibility for how technologies influence decision-making and human well-being.
- Identifying the values that are at stake with particular technologies.
- Understanding how technologies impact our choices and decision-making.
- Determining how to best influence technological development with an appropriate set of stakeholders.
Actionable Framework
Integrating human-centric values into technological development requires proactive, agile governance and processes that embed privacy and ethics directly into design stages. The European Union's General Data Protection Regulation went into effect in 2018, enforcing data protection at the design stage and mandating clear user consent and right-to-be-forgotten processes. You can leverage nine specific inflection points across the technological development cycle to critically reflect on values and shape the broader societal impact of innovations.
FIFCO, a Costa Rican alcoholic beverage producer, leveraged its organizational culture when the CEO's values led the firm to champion moderation and ensure none of its employees live in poverty.
- Educational curricula.
- Fundraising and investing.
- Organizational culture.
- Decision-making and priority setting.
- Operational methodologies.
- Economic incentive structures.
- Product design.
- Technical architecture.
- Societal resistance.
3. Computing and Digital Technologies
Advanced computing, blockchain architectures, and the Internet of Things create an infrastructure of trust and automated value exchange across global networks.
New Computing Technologies
Moore's Law is approaching physical atomic limits, requiring the semiconductor industry to shift toward novel materials, vertical integration, and alternative computing architectures. As transistor sizes approach the nanometer scale, quantum tunneling effects and extreme heat generation render traditional horizontal scaling inefficient and commercially unsustainable under Rock's Law, prompting a transition to specialized processors and systems-level roadmaps.
14 nanometers is currently the smallest commercial standard for transistors, while 50,000 nanometers is the diameter of a human hair. Berkeley researchers created a working transistor with a 1nm wide gate using carbon nanotubes and molybdenum disulfide.
Quantum computers leverage superposition and entanglement to solve complex optimization and cryptographic problems exponentially faster than classical computers. By using qubits instead of binary bits, quantum computers can simultaneously simulate multiple states and model complex molecular interactions.
Google's tensor processing units powered its AlphaGo program, which beat world champion Go player Lee Sedol in a five-game series in 2016. Building stable universal quantum computers requires extreme cooling near absolute zero and poses severe challenges to current encryption standards. 13 billion years would be needed for current classical computers to crack a 2048-bit certificate secured by Transport Layer Security.
Computing technologies are disappearing into everyday items, clothing, human bodies, and biological organisms, creating new paradigms in data storage and interaction. The proliferation of sensors, natural language processing, and wearable devices allows humans to interface with computers through thought, gestures, and voice. Meanwhile, breakthroughs in biohacking and DNA storage offer ultra-dense information preservation and targeted medical treatments.
MIT researchers demonstrated that sensors, memory switches, and circuits can be encoded in common human gut bacteria to detect and treat conditions like inflammatory bowel disease. George Church stored data on DNA in 2012, achieving 100,000 times the density of the best flash memory options.
Blockchain and Distributed Ledgers
Blockchain technology creates an architecture of trust by enabling the exchange of unique digital records without requiring a centralized third party. By combining cryptography and peer-to-peer networking, distributed ledgers provide accuracy, transparency, historical tracking, and programmable actions called smart contracts that execute automatically without human intervention.
Combining blockchain with secure physical tagging creates digital product memories that follow goods throughout the entire supply chain. This infrastructure reduces the massive trust tax imposed by intermediaries like banks, auditors, and lawyers, while transforming business models toward asset-less enterprises and secure digital marketplaces.
The London-based start-up Everledger uses a combination of blockchain and machine vision to combat fraud in the diamond supply chain and support the Kimberley process. In June 2017, more than $700 billion had been transacted through the bitcoin blockchain, while blockchain could potentially crush the global counterfeiting market estimated at 2.5% of world trade.
The Internet of Things
The Internet of Things acts as a core infrastructure of the Fourth Industrial Revolution, driving massive economic value primarily through industrial applications. Consisting of smart sensors that gather and process data, IoT enables a transition from basic operational efficiency to an outcome economy and an autonomous pull economy driven by real-time analytics.
The number of IoT devices is estimated to reach 75.4 billion in 2025, growing from 15.4 billion in 2015. Industrial IoT applications could add $14 trillion to the global economy by 2030.
Processing IoT data at the edge of the network helps reconcile smart city security needs with individual data privacy. By keeping sensitive video and sensor data directly on the device unless local algorithms detect a threat, systems can avoid the vulnerabilities of centrally stored wide-ranging data while lowering bandwidth requirements.
Sensity Systems, a Verizon company, worked with Genetec to design smart city security systems that perform data processing on the edge of the network. 76% of business respondents report a belief that the likelihood of cyberattacks against their IoT systems is very or extremely high.
Artificial Intelligence and Robotics
While artificial general intelligence does not yet exist, society is surrounded by task-specific narrow AI driven by machine learning. Machine learning techniques use vast data sets and brute-force pattern matching to excel at specific tasks, though they still lack broader context, common sense, and situational awareness.
In 2014, a chatbot masquerading as a 13-year-old named Eugene Goostman persuaded more than 30% of its interlocutors that it was a real person. Robotics industry spending is set to reach $135 billion in 2019, nearly double its 2015 figure.
A primary challenge in advanced AI development is the value alignment problem, ensuring machines are given objectives provably beneficial to humans. If a capable machine is given misaligned or incomplete objectives, it can pursue them in disastrous, unintended ways. The solution requires designing AI to be initially uncertain about human objectives and to learn them continuously by observing human actions.
Artificial intelligence and robotics are transforming the labor market by automating routine tasks and threatening jobs across both blue-collar and white-collar sectors. While automation frees humans for creative and interpersonal work, it also puts millions of jobs at risk, threatens industrialization in developing countries by undercutting labor cost advantages, and raises questions about opaque algorithmic decision-making.
Foxconn replaced 60,000 workers in factories with robots over the course of two years. Estimates for US jobs at risk of computerization range from 10% to nearly 50%.
4. Reforming the Physical World
Advanced materials, additive manufacturing, biotechnology, and neurotechnologies offer unprecedented power to reshape the physical and biological world.
Manipulating material foundations at the atomic level enables breakthroughs ranging from graphene batteries to synthetic organisms and efficient energy storage. However, long development timelines and high capital intensity require integration with artificial intelligence, robotics, and distributed ledgers like blockchain to accelerate discovery and maintain trusted provenance and recycling records. It typically takes 10 to 20 years for a new materials technology to reach the market after basic and applied research. The US National Nanotechnology Initiative provided over $1 billion in annual funding for more than a decade.
The Materials Genome Initiative and Mission Innovation, a 23-country coalition, serve as collaborative international research platforms for energy materials discovery.
Additive Manufacturing
Additive manufacturing decentralizes production by creating physical objects through the continuous addition of material layers, potentially disrupting global supply chains and trade logistics. Unlike conventional manufacturing that removes material or uses molds, 3D printing enables bespoke manufacturing closer to the consumer with lower shipping costs and reduced waste. This capability threatens low-cost labor-dependent industrialization models in developing economies while posing regulatory dilemmas regarding product liability and digital template security. 3D printing currently represents 0.04% of global manufacturing. Less than 1% of all manufactured goods in the United States are produced via 3D printing. Wohlers estimates an over 25% annual growth rate of the additive manufacturing industry. A total of 6.7 million 3D printers are expected to ship globally by 2020. In 2012, 40% of 3D printing systems were installed in North America, 30% in Europe, 26% in Asia-Pacific, and 4% elsewhere. In 2016, 52% of US manufacturers expected 3D printing for high-volume production in three to five years, and 22% predicted a disruptive effect on supply chains in the same time frame.
Adoption requires navigating multiple practical domains:
- Materials: Understanding properties in different processes, quality assurance, costs, availability, mixed materials, recyclability, and biocompatibility
- Design: Need for guides and education programs on design constraints, availability of skilled designers, and security of design data
- Skills and education: Addressing the lack of appropriate skills, upscaling the current workforce, training the next generation, and educating consumers
- Cost, investment and financing: Providing funding to reduce risk of adoption for small and medium-sized enterprises and understanding full costs
- Standards and regulation: Overcoming the lack of standards across all sectors for processes, materials, software, products, and applications
Biotechnologies
Biotechnologies offer unprecedented power to rewrite biological systems for healthcare, agriculture, and industry, but evoke strong emotional responses and unpredictable systemic outcomes. Unlike digital technologies, biotechnology deals with living organisms featuring complex metabolic and signaling networks that are difficult to model. Convergence with machine learning and big data drives precision medicine and metabolic engineering, while synthetic biology uses microorganisms as smart cell factories to produce chemicals and biomaterials from renewable sources. Venture financing for biotechnology reached nearly $12 billion in 2015. Debt financing and follow-on public offerings exceeded $50 billion in 2015. Golden Rice addresses almost 2 million children dying every year due to Vitamin A deficiency. More than 65% of drugs developed for brain disorders fail during phase III clinical trials.
Chinese scientists have used CRISPR to combat cancer, and Mitochondrial replacement therapy is addressing genetic disorders.
Neurotechnologies
Neurotechnologies decode and influence brain activity to create new economic value, treat neurological disorders, and augment human sensory and cognitive capabilities. Advances in computing power, microelectrodes, functional magnetic resonance imaging, and machine learning allow researchers to read and write to the brain. While offering immense potential to restore functionality to paralyzed limbs and treat mental health conditions, these technologies raise critical questions about cognitive privacy, neural data ownership, and neuroenhancement inequalities. Inside the human skull sit 1.4 kilograms of cells and over 80 billion neurons connected in over 100 trillion ways. Across the planet, 7.4 billion people live on Earth. Brain disorders create an estimated annual economic cost of over $2.5 trillion. All neurotechnology-related businesses have an overall current size of $150 billion with a growth rate nearing 10%.
Researchers at the Aldo Faisal Lab at Imperial College London combine eye tracking with machine learning to detect movement intentions and help quadriplegics control robotic limbs. Quadriplegic Rodrigo Hübner Mendes drove a Formula 1 car using his mind via an off-the-shelf EMOTIV Epoc neuroheadset.
The transformative and disruptive nature of fourth industrial revolution technologies requires agile global governance anchored in universal humanistic values and multistakeholder collaboration.
Because advanced materials, additive manufacturing, biotechnology, and neurotechnology cross international borders and impact fundamental human rights, fragmented regional regulations cause trade disruptions and ethical hazards. Inclusive governance must build public trust, reconcile shared human values with local cultural norms, and establish soft regulatory frameworks to manage dual-use risks and externalities. France became the first country in 2011 to include a section of law specifically related to governing neurotechnologies, prioritizing judicial applications over commercial uses.
5. Empowering All Stakeholders
Navigating the Fourth Industrial Revolution requires multistakeholder cooperation, circular economic models, and agile governance to protect human rights and the global commons.
Viable solutions to complex global challenges require a multistakeholder approach involving business, government, civil society, academia, and younger generations. Technological systems alone do not provide meaningful opportunities. True inclusion and fair distribution of economic and social values require deliberate action and partnerships across traditional boundaries to prevent large swathes of people from being left behind.
You can implement these practices:
- Local and regional conversations on what the future should look like and how to harness emerging technologies for the local population
- Local, regional, and global policies around innovation, infrastructure, and industrialization which empower all citizens to harness emerging technologies
Global disparities in infrastructure, education, and R&D threaten to exclude developing countries from the transformative potential of the Fourth Industrial Revolution. In 2014, 263 million children and youth did not attend school globally, with the highest out-of-school rates concentrated in regions where economic and social development needs are greatest. 1.2 billion people have no electricity, 2.4 billion people lack clean drinking water and safe sanitation, and 3.9 billion people cannot access the internet. 600 million people live on smallholder farms without access to any mechanization, and 85% of the offline population is in developing countries compared to 22% in the developed world.
Energy, Space, and Geoengineering
Economic models must shift from a linear take-make-waste approach to a circular economy to manage the severe environmental externalities caused by centuries of industrialization. 3% of the world's population lived in urban areas in 1800, compared to more than 50% of 7.4 billion inhabitants today. Global CO2 emissions have risen 150-fold since 1850, and deforestation accounts for 15% of global greenhouse gas emissions. The government of Honduras is exploring distributed ledgers to help with land rights allocation, while drone tests show they can plant more than 30,000 seeds per day compared to around 3,000 planted by hand.
You can apply these environmental principles:
- Design and deploy emerging technologies with the proactive, future-oriented goal of maintaining and improving the natural world
- Reconfigure economic models around the use and impact of technology to incentivize producers and consumers to reduce resource consumption and encourage sustainable products and services
Transitioning from fossil fuels to renewable energy requires massive scaling of clean power sources and breakthrough energy-storage capabilities. Global electricity demand is projected to reach 39 trillion kilowatt hours by 2040, supported by average access of 8,000 watts per global citizen and 35,000 watts per capita in some developed economies. Investors deployed $265 billion in renewable energy in 2015 and $226 billion in 2016. Thirty-five nations are collaborating on ITER in France as an advanced nuclear fusion project targeting operational success by 2035 with an $18 billion price tag.
Geoengineering offers theoretical technological interventions to counteract global warming, but carries immense environmental risks and requires strict international governance. Harvard University launched a $20 million geoengineering research project in April 2017 to study simulating the atmospheric cooling effect of a volcanic eruption, mimicking the 1815 eruption of Mount Tambora that caused the 1816 year without a summer in Europe.
The space sector is shifting from state-led exploration to commercialized innovation, driven by spin-in technologies, venture capital, and microsatellite deployment. Investment firms spent $1.8 billion in commercial space start-ups in 2015, and BAE Systems invested over £20 million in SABRE propulsion technology to enable direct low Earth orbit flights without special landing strips. Astronauts have conducted 1,900 investigations on the International Space Station, while planners anticipate the launch of 12,000 new commercial satellites over the decade following publication.
You can steer commercial space activity with these rules:
- Create more mechanisms for private business input into the international regulatory framework.
- Ensure alignment between national and international regulation with respect to space mining and other privately funded activities.
- Establish a new space-traffic management system for objects in Earth orbits.
- Enforce space-debris mitigation protocols to ensure safety of investments and human lives.
- Provide smaller countries with necessary control mechanisms to oversee space-related activity from their territory.
Strategies for Governments, Businesses, and Individuals
Governments must urgently adopt agile governance approaches to match the speed, cross-border diffusion, and political nature of emerging technologies. The UK Cabinet Office created a Policy Lab as a protected space to experiment with new methods of policy development. The International Organization for Standardization released ISO standard 15066:2016 in 2016 focused on safety requirements for collaborative industrial robot systems, uniting more than 160 national standards organizations behind approximately 22,000 global standards.
Businesses must learn by doing, experiment with new technologies, and invest in the skills and mindset of their people. Japanese farmer Makoto Koike used the machine learning application TensorFlow to help his family's business sort cucumbers. The 2016 Future of Jobs report notes that 35% of skills are expected to change across industries, while computers can perform at least 30% of tasks in 60% of current jobs, though only 5% of occupations are fully automatable.
Individuals must actively explore emerging technologies, practice digital hygiene, and respond politically to shape how technologies are developed. The non-profit organization fast.ai offers a seven-week deep learning course accessible to anyone with basic programming experience. You can secure your systems, visit local fablabs, build items using 3D printing, or join biohacking workshops to learn through direct experience.
10 Key Ideas
- The Fourth Industrial Revolution integrates twelve clusters of advanced technologies that scale exponentially and merge physical, digital, and biological domains.
- Guiding the new era requires a systems-level mindset that prioritizes human-centered outcomes, preserves agency, and rejects technological determinism.
- Emerging technologies are fundamentally political because they embody specific values and reshape societal power structures from their inception.
- Semiconductor manufacturing must transition toward novel materials, vertical integration, and alternative architectures as Moore's Law approaches physical atomic limits.
- Blockchain technology creates an architecture of trust by enabling the secure exchange of unique digital records without requiring centralized intermediaries.
- Ensuring artificial intelligence remains safe requires solving the value alignment problem so that autonomous machines pursue objectives provably beneficial to humans.
- Manipulating material foundations at the atomic scale enables unprecedented manufacturing breakthroughs when combined with artificial intelligence and distributed ledgers.
- Biotechnologies offer extraordinary power to rewrite biological systems for healthcare and industry, but evoke strong emotional responses and unpredictable systemic outcomes.
- Economic models must shift from a linear take-make-waste approach to a circular economy to manage the severe environmental externalities caused by industrialization.
- Viable solutions to complex global challenges require a multistakeholder approach involving business, government, civil society, academia, and younger generations.