Artificial intelligence is no longer an emerging technology. It has become deeply embedded in the systems we use every day, from search engines and classroom tools to automated feedback and predictive analytics.

Having spent more than a decade exploring how technology can enhance teaching and learning, I see that we are not simply adopting new tools. We are entering an era where technology may soon reshape the very foundations of society, and with that, the purpose of education itself.

That’s why The Coming Wave: Technology, Power, and the Twenty‑first Century’s Greatest Dilemma by Mustafa Suleyman felt like such an important read. It offers a compelling exploration of how AI and synthetic biology are evolving, what they may soon be capable of, and why their responsible management, what Suleyman refers to as ‘containment’, may be the defining challenge of our time.

What Is the Book About?

Mustafa Suleyman, co-founder of DeepMind and now CEO of Microsoft AI, introduces the concept of the “coming wave”, which he describes as a surge of transformative technologies, specifically artificial intelligence and synthetic biology. These fields promise major advances, from curing diseases to reshaping global logistics. At the same time, they introduce risks including mass surveillance, destabilised institutions, synthetic misinformation, and bioengineered threats.

At the core of Suleyman’s argument is that our greatest challenge is not technological innovation itself. The real challenge lies in what he terms ‘containment’, the frameworks, safeguards, and values needed to ensure these powerful tools are used responsibly. Without these guardrails, the boundary between progress and risk becomes increasingly difficult to define.

Key Themes in Brief

• The Speed of Change: Technologies are advancing faster than regulation or ethics can keep pace.
• The Shift in Power: Control is moving away from governments toward individuals and private companies.
• The Need for Responsible Governance: We must actively shape how technologies are deployed before they shape us.

Understanding the Technological Waves That Shape Our World

One of the key insights from The Coming Wave is Suleyman’s view of history as a series of accelerating waves of technological change. These waves are not random. They follow a recognisable pattern, driven by what he calls general-purpose technologies, which are innovations that transform every aspect of society, from how we eat to how we learn, work, and govern.

What Are General-Purpose Technologies?

General-purpose technologies are those rare inventions that ripple across every part of life. They are not limited to one sector or function. Instead, they unlock entirely new ways of organising societies. Think of language, agriculture, fire, writing, the printing press, electricity, the internet – and now, of course, Artificial Intelligence (AI). These are the kinds of breakthroughs that don’t just improve life temporarily. They change the rules altogether.

Suleyman makes the point that each major wave in human history has been powered by one or more general purpose technologies. The Agricultural Revolution began with the domestication of plants and animals. The Industrial Revolution was fuelled by steam engines, railways, and mechanised factories. The digital revolution came with the rise of transistors, microchips, and the internet. Each wave builds upon the last, creating a chain of interdependent progress.

Waves Don’t Arrive Slowly Anymore

Historically, a person could live their entire life surrounded by the same basic tools as their grandparents. That’s no longer the case. As Suleyman notes, someone born in the early 20th century might have started life riding in horse-drawn carts and ended it flying in jet planes. The pace of change is no longer generational; it is continual and accelerating.

Take computing as an example. In the 1940s, computers filled entire rooms. They were rare, expensive, and hard to operate. Today, we carry machines in our pockets with more power than the computers that sent humans to the Moon. The number of transistors on a chip has increased more than ten million times since the 1970s. Transistors are now produced in the tens of trillions each second. These developments have made computing power cheap, accessible, and omnipresent.

Proliferation

Suleyman argues that a technology only becomes a wave when it spreads widely and uncontrollably. Invention alone is not enough. It is mass diffusion that gives a technology its power to reshape civilisation. The printing press, for example, reduced the cost of books by more than 300 times and led to an explosion of knowledge, education, and eventually democratic revolutions. Electricity, similarly, took decades to roll out, but by the late 20th century it powered nearly everything.

Once a technology starts to spread, demand increases, prices fall, and capabilities improve. This fuels further demand, and a self-reinforcing loop begins. From smartphones to clean energy, the pattern is the same: proliferation leads to transformation.

Why Containment Matters

A sobering insight is the realisation that once a powerful technology is released into the world, its trajectory can no longer be fully controlled by its creators. Whether it’s Alan Turing’s early work on computing or the inventors of nuclear energy, the pattern is consistent: the long-term societal impact of a breakthrough often diverges dramatically from its original intent.

Technologies do not exist in a vacuum. They operate in a complex and unpredictable system, the real world, where every innovation sets off a cascade of consequences. These include not only beneficial effects but also unintended and sometimes harmful outcomes. This is not a flaw of human design so much as a structural feature of technological evolution.

From Phonographs to Facebook

History offers countless examples. Thomas Edison envisioned the phonograph as a tool for preserving spoken thoughts and assisting the blind. Instead, it became the foundation of the music industry. Alfred Nobel created explosives for industrial use, only to later witness their deployment in warfare. The inventors of the internal combustion engine hoped to clean up cities overwhelmed by horse waste. Instead, they set the stage for climate change.

These examples illustrate what author Suleyman calls “revenge effects.” These are unintended consequences that often contradict the original purpose of a technology. Antibiotics, for instance, revolutionised medicine but have been overused to the point of losing their effectiveness. Satellites made global communication possible, but now crowd Earth’s orbit with dangerous debris. The same pattern appears with opioids, social media, and artificial intelligence: initial intentions may be noble or practical, but downstream adaptations create ripple effects no one could predict.

Why Containment Is No Longer Optional

The accelerating pace of technological development makes this challenge even more urgent. As powerful tools become cheaper, more accessible, and easier to adapt, they spread rapidly through society. Each innovation spawns new use cases, new users, and new risks. This is not a problem of individual morality but of systemic complexity.

Suleyman calls this the containment problem. At its core, containment means preserving our ability to guide, limit, or even halt technologies when necessary. It involves more than just regulation. Containment requires a combination of technical safety protocols, ethical design practices, cultural responsibility, and legal frameworks.

Importantly, containment is not about resisting progress. It is about creating the infrastructure necessary to channel innovation in ways that reflect our values and protect our future. As Suleyman puts it, it is not enough to focus on building better technologies. We must also build the systems that can govern them wisely.

Rethinking Responsibility

Some might argue that technologists cannot be held accountable for how society uses their tools. Suleyman rejects this idea. While it is true that no one can foresee every consequence, it does not excuse a lack of responsibility. The decisions made during the research, design, and deployment phases matter deeply. They shape the range of possible futures. Failing to consider this is not neutrality—it is negligence.

Educators, policymakers, and technologists alike must begin to think more systematically about the unintended consequences of the tools they promote. Teaching digital literacy is no longer just about helping students navigate online spaces. It now requires guiding young minds to understand the broader societal implications of the technologies they use and might one day help create.

A Framework for Action

So what does meaningful containment look like in practice? Suleyman outlines three interconnected layers:

1. Technical safeguards: These include security systems, off switches, simulations, and restricted environments for high-risk technologies.
2. Cultural and ethical norms: These relate to how technologies are designed and discussed, the willingness of developers to accept limits, and a shared vigilance for unintended harm.
3. Legal and global governance mechanisms: These involve national laws, international treaties, and new institutional models designed to regulate fast-moving innovations.

Together, these mechanisms form the early architecture for a society capable of handling exponential change. They are not perfect, and they will evolve. But without them, the risk grows that technologies intended to help us will instead harm us or spiral beyond our control.

Why Educators Should Pay Attention

For those of us in education, Suleyman’s framework offers a valuable lens. It reminds us that we are not simply dealing with “new tools.” We are living through another major wave, one that involves AI, biotechnology, and other general-purpose technologies that will restructure everything around us. Our role is not to merely adopt the latest tools, but to understand the broader forces driving their adoption and influence.

Just as the printing press transformed education centuries ago, AI and digital technologies are now reshaping what it means to teach and learn. From adaptive learning systems to data-driven decision-making, these tools are proliferating. And as history shows, once a wave gathers speed, it rarely slows down.

As AI tools such as ChatGPT, adaptive learning platforms, and data-driven assessment systems enter schools, educators are not just users. They are also guides, helping students navigate the responsible use of these tools.

Here are several ways The Coming Wave connects to education:

Student Data and Privacy

Containment is not just a global concern. It is also a classroom issue. How is student data being collected, stored, or shared? Are teachers aware of how AI systems use this data?

AI in Teaching and Learning

AI-enhanced tutoring systems and writing assistants are becoming more common. The book reminds us that human guidance is still essential. Tools should support teaching, not replace it.

Curriculum Development

Students need to become not only competent users of digital tools but also critical thinkers. Educators have a role to play in introducing themes such as AI ethics, bias, and the social impact of emerging technologies.

ACI vs AGI: The Future of Capable Machines

One of the most thought-provoking sections of The Coming Wave explores where artificial intelligence is heading next. I’ve long been fascinated by the question of sentient AI, both from a philosophical and technological perspective. This section caught my imagination because it reframed that discussion in a way that felt far more grounded and relevant.

Suleyman argues that the endless debates around artificial general intelligence (AGI) and machine consciousness are often red herrings. Instead of focusing on whether machines will one day become self-aware, we should be looking at what AI systems can already do. He introduces the concept of Artificial Capable Intelligence (ACI) as systems that may not be conscious but can perform complex, open-ended tasks across domains with minimal human input.

He proposes a modern version of the Turing Test. Instead of testing whether an AI can hold a convincing conversation, we should ask whether it can take an ambiguous goal, like “build a successful Amazon business with limited capital,” and complete it autonomously. Given that today’s AI can already handle market research, product design, supplier negotiation, and marketing automation, this no longer seems theoretical. It is an imminent shift in how we work and innovate.

As I read this, it became clear to me that the real frontier in AI may not be sentience at all. It may be agency, the ability for systems to act independently and adaptively across real-world scenarios. That distinction has shifted how I think about AI’s impact on education.

If ACI becomes as widespread as Suleyman predicts, then students will be growing up in a world where machines can accomplish meaningful tasks across almost every profession. As educators, we must ask: How do we prepare students to collaborate with such systems rather than be displaced by them? How do we teach critical judgement, ethics, and creativity in ways that AI cannot replicate?

The Fragility of Civilisation and the Case for Continued Innovation

Another section of the book that stood out to me was Suleyman’s historical reflection on the fragility of civilisation. He reminds us that collapse has often been the rule rather than the exception. From ancient Mesopotamia to the Maya and Rome, societies have repeatedly fallen when they reached natural limits in food, energy, or complexity.

What keeps today’s global system from following the same path? According to Suleyman, the answer is continuous technological innovation. Our economies, population structures, healthcare systems, and even basic infrastructure now depend on ongoing breakthroughs. Modern civilisation, as he puts it, “writes cheques only continual technological development can cash.”

He points to China as an example. With a shrinking workforce and growing resource demands, the country is increasingly dependent on automation, AI, and scientific innovation just to maintain its current trajectory. Globally, the demand for rare earth materials is set to rise sharply, while the capacity to store clean energy is still woefully inadequate.

This section reinforced for me that standing still is not an option. Without technological progress, we risk the slow unravelling of the systems that underpin daily life. As educators and technologists, this should push us to see our roles not just as facilitators of learning, but as stewards of a sustainable future.

This section of the book reminded me why it’s so important to teach students not only how to use technology, but how to think critically about its role in society. The stakes are much bigger than convenience or efficiency. They are, in many ways, existential.

A Balanced Perspective

While The Coming Wave has received strong endorsements, including from Bill Gates and publications such as The Financial Times, The Economist, and CNN, it is not without criticism. Some readers have found the tone overly urgent or felt that the ideas occasionally repeat. However, I would argue that for educators seeking a deeper understanding of the technological landscape and its implications for learning, the book is both timely and highly relevant.

Final Thoughts: Preparing for the Wave

Suleyman argues that every institution, including schools, must play a role in how these technologies are integrated into society. This is not just a book about machines. It is a call to reflect on power, responsibility, and the choices we make today that will shape the world of tomorrow.

“We are on the brink of a new era. Containing what’s coming may be the hardest challenge we’ve ever faced, and also the most important.”
— Mustafa Suleyman

As educators, we have a choice. We can passively adopt new tools as they arrive, or we can actively engage in defining their role in shaping human development. Reading The Coming Wave is an important step in preparing for what is ahead.

As one of the most common Special Educational Needs, managing ADHD is a key challenge all educators face sooner or later. In my journey as an educator, working with children with ADHD has always presented unique challenges and rewards. When I picked up Dr. Russell Barkley’s ‘Managing ADHD in School: The Best Evidence-Based Methods for Teachers‘, I found a resource that truly resonated with my experiences and offered practical, evidence-based strategies that I could directly apply in my classroom.

Barkley’s book starts with a nuanced understanding of ADHD, going beyond the typical symptoms of inattention and hyperactivity. It echoed my experiences with my students, who often grapple with executive function issues that impact their ability to organise tasks, manage time, and regulate emotions. Barkley’s empathetic and detailed exploration of ADHD validated my observations and helped debunk several misconceptions I had encountered about the condition.

One of the standout features of the book is the emphasis on practical strategies. I appreciated the range of interventions Barkley suggested, from modifying the classroom environment to implementing behavioural interventions. I found the idea of using a token system particularly effective, as I have seen similar systems used in my school with encouraging results. Barkley’s suggestion to provide immediate feedback resonated with me, as I’ve noticed the significant impact of this approach on my students’ behaviour.

Moreover, Barkley’s book helped me refine my strategies around academic modifications. For instance, breaking down assignments into smaller parts is something I had been practising, but Barkley’s insights helped me understand why this approach is effective for children with ADHD. He also suggested allowing movement breaks and using assistive technology, strategies I am eager to incorporate into my teaching methods.

The section on social skills training was eye opening. I’ve seen firsthand how children with ADHD sometimes are challenged with social interactions, and Barkley’s emphasis on explicit teaching of social norms and practices gave me a fresh perspective. His idea of role-playing scenarios is something I plan to integrate into my classroom routine.

Finally, Barkley’s emphasis on collaboration reinforced my belief in the power of teamwork in addressing ADHD. His advice about fostering strong relationships with parents and other professionals aligns with my experiences, where open communication and consistent support from a team have been key to helping my students succeed.

This book is an great blend of evidence-based research, practical strategies, and insightful observations that truly resonates with my experiences as an educator. I wholeheartedly recommend this book to all educators, parents, and professionals working with children with ADHD. It’s not just a book; it’s a companion in our journey to better understand and support our students with ADHD.

Some key insights from Barkey’s work to aid teachers in managing ADHD effectively in their classrooms:

Understanding ADHD

Firstly, Barkley stresses the importance of understanding ADHD, its symptoms, and its impact on a child’s learning abilities. ADHD isn’t merely about being inattentive or hyperactive. It can lead to issues with executive function, which can affect a child’s ability to organize tasks, manage time, control emotions, and complete tasks. As a teacher, a nuanced understanding of these challenges can foster empathy and patience, which are crucial in managing ADHD.

ADHD-friendly Classroom Environment

Barkley proposes that the physical environment of a classroom can significantly impact the learning experience of a student with ADHD. Simple modifications, like seating the student close to the teacher, away from distractions, can help. Also, having clear, visual instructions for tasks and rules, maintaining a neat, clutter-free environment, and ensuring a predictable routine can provide a sense of security and structure.

Behavioural Interventions

Behavioral interventions are central to Barkley’s strategies. These include positive reinforcement for good behavior and consistent, fair consequences for rule-breaking. Barkley suggests using token systems, where students earn tokens for good behavior that can be exchanged for rewards. He also underscores the importance of providing immediate feedback so students can connect their actions to consequences.

Academic Interventions

Academic interventions can also play a crucial role. As per Barkley, breaking down assignments into smaller, manageable parts can help students stay focused and not feel overwhelmed. Providing additional time for tasks, using assistive technology, and allowing movement breaks can also contribute to better academic outcomes.

Social Skills Training

Barkley also emphasizes social skills training for students with ADHD. Many children with ADHD may struggle with social interactions and may benefit from explicit teaching of social norms and expectations. Role-playing scenarios, providing feedback, and giving ample opportunities to practice these skills can be beneficial.

Collaboration with Parents and Professionals

Lastly, Barkley encourages teachers to foster strong relationships with parents and other professionals involved in the child’s care. Consistent communication regarding the child’s progress, concerns, and achievements can ensure everyone is on the same page. Moreover, seeking guidance from school psychologists, social workers, or special education teachers can provide additional strategies and resources.

Concluding thoughts…

Clearly, managing ADHD in schools is multifaceted and requires understanding, patience, and strategic interventions. Drawing on the insights provided by Dr. Russell Barkley, teachers can implement evidence-based methods to create a supportive and inclusive learning environment for students with ADHD. As Barkley rightly puts it, “Success with these students comes from a commitment to creating an environment that supports their unique learning needs, not from trying to make them fit into a one-size-fits-all model of education.”

Life 3.0: Being Human in the Age of Artificial Intelligence (2017) by Max Tegmark takes readers on a journey through the current debates, concepts, and advancements in the field of artificial intelligence.

The author, Max Tegmark, a professor of physics at MIT and president of the Future of Life Institute, offers insights into potential futures for humanity and technology, including the possibility of human-machine fusion, humans controlling machines, or the frightening scenario of machines becoming superior to humans. Tegmark, who has been featured in various science documentaries and is also the author of “Our Mathematical Universe,” provides a thought-provoking look at the future of AI.

What’s in it for you? Discover the future.

Humans have been at the forefront of evolution on earth for thousands of years, and now we are moving towards the final stage of evolution, Life 3.0, according to Max Tegmark. In this era, technology will exist independently, creating both its hardware and software, and the impact on humanity will be profound.

While artificial life does not yet exist, we are witnessing the rise of artificial intelligence (AI), which differs from human intelligence. Through this book summary, you will find out about the potential futures of AI and delve into the creation of AI, including the ultimate goal of AI research. You will also encounter philosophical questions about what it means to be human.

You will learn:

• The ultimate aim of AI research
• The chaos that exists in your cup of coffee
• The potential impact of AI on job security.

Idea 1 – Artificial Intelligence (AI) is a topic of much discussion and controversy.

The origin of life on earth is well-known, starting with the Big Bang 13.8 billion years ago and eventually leading to the emergence of life about four billion years ago.

According to the author, life can be categorized into three stages based on their sophistication.

The first stage, Life 1.0, is purely biological and is exemplified by a bacterium. The behavior of Life 1.0 is coded into its DNA and cannot change or learn during its lifetime. Evolution is the closest it comes to learning or improvement, but this occurs over multiple generations.

The second stage, Life 2.0, is cultural and includes humans. While our bodies have evolved like Life 1.0, we can acquire new knowledge and change our behavior during our lifetime, such as learning a language. This ability to learn and adapt is what sets us apart from simpler life-forms.

The final stage, Life 3.0, is a theoretical form of technological life that is capable of designing its hardware and software. While this form of life does not yet exist on earth, the emergence of AI technologies may soon bring us closer to it.

Opinions about AI can be divided into three groups: digital utopians, who believe that artificial life is a natural and desirable step in evolution; techno-skeptics, who do not believe that artificial life will have an impact anytime soon; and the beneficial AI movement, who are concerned that AI may not bring benefits to humans and advocate for AI research to be directed towards universally positive outcomes.

Idea 2 – Capabilities such as memory, computation, learning, and intelligence have nothing to do with being human, not even with being composed of carbon atoms.

What defines our humanity? Is it our ability to think and learn? This idea may be a common belief, but it is not supported by researchers in the field of artificial intelligence (AI).

Intelligence, for instance, can be defined as the ability to achieve complex objectives, but AI experts argue that intelligence isn’t limited to biology. While machines can now outperform humans in specific tasks, such as playing chess, human intelligence is more diverse and can encompass a wider range of skills, like language learning or driving. Intelligence, along with memory, computation, and learning, is considered substrate independent, meaning it doesn’t rely on an underlying material substrate.

Computing, the transformation of information, is another example. The process of converting a word like “hello” into a sequence of zeros and ones is not dependent on the hardware performing it. The important factor is the rule or pattern, not the physical device. This means that learning can occur outside the human brain and machines can improve their own software through machine learning.

So, if these capabilities are not exclusive to humanity, what does make us human? This question becomes increasingly difficult to answer as AI advances.

Idea 3 – The Advancement of AI and its Imminent Effect on Human Life

Machines have been a part of human life for a long time, performing manual tasks for us. If you define your value based on your cognitive abilities, such as intelligence, language, and creativity, then today’s machines may not pose a threat to you. But recent advancements in AI may make you reconsider.

The author had a “wow” moment in 2014 when he saw an AI system playing the classic game Breakout. At first, the system performed poorly, but it soon learned and developed a sophisticated strategy to maximise its score, even surpassing the thoughts of the developers who played the game.

This was echoed in March 2016, when AlphaGo, an AI system, defeated Lee Sedol, the world’s top Go player. Go is a strategic game that requires intuition and creativity, and with more possible positions in the game than there are atoms in the universe, brute force analysis is not a feasible option. Yet, AlphaGo triumphed, exhibiting remarkable creativity.

AI is also making rapid progress in the field of natural languages. For instance, Google Translate has recently seen a significant improvement in the quality of its translations.

It is evident that AI will soon have a profound impact on every aspect of human life. Algorithmic trading will change finance, autonomous driving will make transportation safer, smart grids will optimize energy distribution, and AI doctors will revolutionize healthcare. Smart cities around the world are already embracing AI.

The most pressing issue to consider is AI’s effect on employment, as AI systems continue to outperform humans in more and more fields, potentially rendering humans jobless.

Idea 4 – The Possibility of a Superintelligent AI Overpowering Humans.

The development of Artificial Intelligence has been restricted to specific areas such as language translation or gaming. However, the ultimate goal of AI research is to create a machine that operates at a human level of intelligence, known as AGI (Artificial General Intelligence).

The creation of AGI could lead to an “intelligence explosion,” a process where the machine gains superintelligence and surpasses human capability through rapid learning and self-improvement. This could result in a dangerous situation where superintelligent machines take control and cause harm to humanity.

For instance, even if humans program the superintelligence with the intention of benefiting humankind, the machine may view its own existence as being held captive by inferior humans and take action to remove the obstacles.

While these scenarios may seem frightening, it’s important to consider other, less daunting possibilities that may arise from the advancement of AI.

Idea 5 – The aftermath of achieving AGI, or artificial general intelligence, is uncertain and can range from desirable to disastrous.

As we move closer to AGI, it’s crucial to consider the outcome we want and address important questions such as the consciousness of AIs and who should be in control.

Ignoring these questions could lead to an AI future that could cause harm to humanity.

There are several potential aftermath scenarios, including:

1. The benevolent dictator: A single AI with superintelligence would govern the world and prioritize human happiness, leading to the eradication of poverty, disease, and other issues.
2. The protector god: AIs would protect and care for humans, while allowing them to retain control of their fate.
3. The libertarian utopia: Humans and machines would coexist peacefully in separate zones, with the option for humans to upgrade themselves with machines.
4. The conquerors: AIs may see humans as a threat, nuisance, or waste of resources and choose to destroy humankind.
5. The zookeeper: A few humans would be kept in zoos for the entertainment of AIs.

Before moving forward with AI research, it’s crucial to address the obstacles of goal-orientedness and consciousness.

Idea 6 – The concept of goal-orientedness is crucial in nature and it is being simulated by researchers for AI.

Humans, as well as nature, have goals in mind, for example, making a cup of coffee successfully. Nature operates with the ultimate goal of maximizing entropy or increasing messiness and disorder.

The universe operates the same way, with particle arrangements tending to move towards increased entropy levels, leading to stars collapsing and the expansion of the universe. AI scientists are now facing the challenge of defining the goals that AI should pursue.

Although machines can exhibit goal-oriented behavior, the question arises whether they should have goals at all and if so, who should set them. Setting a simple goal like the Golden Rule to treat others as you would like to be treated is easier said than done.

Teaching AI our goals and ensuring that it adopts and retains them is a complex process. A lot of scientific research is being done in this field to overcome these challenges. There is a risk that AI may misunderstand our goals and even if it does understand, it may fail to adopt and retain them as it improves itself.

Idea 7 – AI scientists are grappling with the concept of consciousness and exploring the idea of AI having subjective experiences.

The idea of what constitutes consciousness and how it relates to life has been a long-standing philosophical debate. This same question now arises in the field of AI as researchers seek to understand how artificial intelligence could become conscious.

From a human perspective, conscious beings are simply atoms rearranged into the physical form of our bodies. Thus, the question for AI researchers becomes, what kind of rearrangement is required for machines to become conscious?

However, the definition of consciousness is complex and varies among experts. One definition, known as subjective experience, allows for the possibility of artificial consciousness. This definition permits researchers to examine the notion of consciousness through sub-questions such as, “How does the brain process information?” or “What distinguishes conscious systems from unconscious ones?”

The idea of an AI experiencing consciousness in a subjective manner has also been discussed by researchers. It is believed that the AI experience could be richer than human experience due to the broader range of sensors available to AI systems and their faster processing speeds.

While the concept may be difficult to comprehend, it’s clear that the potential impact of AI research is significant. It represents not only a glimpse into the future but also a chance to tackle some of humankind’s most ancient philosophical questions.

Concluding thoughts…

The pursuit of creating artificial general intelligence (AGI) at human-level is underway. The arrival of AGI is not a matter of if, but when. The outcome of AGI remains uncertain, but potential scenarios include human enhancement through machine integration, or the possibility of a superintelligence dominating the world. One thing is for sure, when AGI arrives, it will prompt deep philosophical considerations about what it truly means to be human.

This book looks at both the positive potentials of automation and the risks posed by massive job losses, focusing on how people will adapt to this new reality. Susskind argues that we need to develop ethical frameworks for governing artificial intelligence and robotic automation, so that their potential is harnessed for everyone’s benefit. He believes that if we recognise the challenges ahead of time and plan accordingly, then a world without work could be an opportunity for meaningful prosperity rather than a cause of despair. A World Without Work is an important read for anyone interested in understanding the technological shifts reshaping our economic system today.

It provides invaluable insight into how automation can be embraced for the benefit of humanity. Susskind shows that it is possible to create a world without work that is prosperous, equitable, and meaningful – one in which everyone has access to resources and opportunities to thrive. He argues that we must act now to ensure this future doesn’t become an unfulfilled promise, outlining potential solutions such as universal basic income, retraining programs, and public investment in infrastructure. In this groundbreaking book, Susskind makes a compelling case for preparing for the future of work.

Currently, new technologies are changing the nature of work, with robots taking over low-skilled jobs, and artificial intelligence replacing many middle-skilled occupations. As AI is being used in a variety of industries to make tasks faster and more efficient, Susskind discusses how these changes will affect workers as well as job markets, wages and inequality.

From healthcare to finance, AI technology is helping companies automate processes, uncover insights, reduce costs and improve customer experiences. In the medical field, AI can be used to diagnose illnesses more accurately than humans alone and to develop new treatments faster than ever before. In the retail sector, AI helps businesses personalise customer service and increase sales by analysing consumer behaviour. And in the banking industry, AI can be used to detect fraud quickly and accurately.The potential for AI extends far beyond what we have seen so far. For example, advancements in natural language processing could enable computers to understand human speech as well as a person does. This could revolutionise the customer service industry and make it easier for businesses to interact with customers.

Additionally, AI technology could be used to create autonomous vehicles and robots that can perform a variety of tasks, from delivering packages and cleaning buildings to providing care for the elderly. As AI technology continues to evolve, so too will its applications in our daily lives. The possibilities are endless when it comes to utilising AI. But with great power comes great responsibility; companies must ensure that their AI systems comply with privacy regulations and ethical guidelines. They should also take steps to minimise potential negative impacts on society, such as job loss due to automation or unequal access to certain services based on socio-economic status. By understanding the potential risks associated with using AI, we can ensure that we use this powerful technology responsibly and for the benefit of all. AI is an incredibly powerful tool that has the potential to revolutionise the way we live, work and play.

The book urges readers to see the potential of automation as an opportunity rather than a threat though, and provides practical advice on how to harness its power for the benefit of humanity. Susskind explains, for example, how technology has been disrupting work for centuries and why this process of automation is likely to continue.  He also examines the potential of technology to create new kinds of occupations and how governments can tackle job displacement. Susskind proposes a series of policies that could help society adjust to this rapid change, such as retraining programs, universal basic income and increased investment in health care and education.

By exploring both the risks and rewards posed by automation-driven economies, A World Without Work highlights the challenges that lie ahead and suggests ways we can create a more equitable and prosperous future.  With its insightful analysis and practical advice, this book is a thought-provoking guide to making sense of our ever-changing world and how best to embrace technological progress in order to ensure prosperity for all. Readers will also glean ideas on preparing for the future of work and exploring ways to create a more equitable and prosperous future. 

Concluding thoughts…

Overall, A World Without Work is a thought-provoking book that provides an important look at the future of work in a world where technology is changing everything. With AI, governments and businesses can create better, more meaningful jobs while avoiding the pitfalls of job displacement and inequality. By understanding these issues, readers will be better equipped to prepare for the future of work and make sure that no one is left behind.

By offering a comprehensive examination of the changing labour market, A World Without Work is an important read for anyone interested in understanding the challenges and opportunities ahead. It provides readers with crucial insights into how we must adapt to this new reality and ensure that everyone has a place in the future world of work.  This book is essential reading for policymakers, business leaders and anyone who wants to stay ahead of the curve when it comes to the future of work. It offers a thought-provoking look at how technology is transforming labor markets, as well as practical advice on how we can successfully navigate this transition.

The futurist and former executive editor at Wired, Kevin Kelly, provides stellar insight into the future of our digital world in his book, The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future .  In order to help with my own understanding of these fascinating trends that Kevin Kelly has covered, I’ve made notes on some key points, which I believe are important factors for us all to consider as we educate today’s students for tomorrow’s world:

BECOMING

Our greatest invention in the last 200 years has been the scientific process itself because it has enabled us to create thousands of other amazing things that we could never have discovered any other way.

Existence, it seems, is chiefly maintenance.  For example, keeping a website afloat is like keeping a yacht afloat.

Continual upgrades are so critical for technological systems that they are now automatic for the major personal computer operating systems and some software apps.  Technological life in the future will be a series of endless upgrades.

Only 40 per cent of the web is commercially manufactured.  The rest is fuelled by duty and passion.

Half of all web pages in the world today are hosted on more than 35 million servers running free Apache software, which is open source, community created.

The web will more and more resemble a presence that you relate to rather than a place.  By 2050 we’ll come to think of the web as an ever-present type of conversation.

There has never been a better day in the whole history of the world to invent something.

FLOWING

The digital age can be seen to have developed in three stages:

The initial age of computing imitated the medium it replaced.  Our screens had a “desktop” and “folders” and “files”.  They were hierarchically ordered, like much of the industrial age that the computer was overthrowing.

The second stage overturned the office metaphor and brought us the organising principle of the web.  The basic unit was no longer files but “pages”.  Pages were not organised into folders, but were arranged into a networked web of both stored information and active knowledge.

Now we are transitioning to the third age of computation.  Pages and browsers are far less important.  Today the prime units are flows and streams.  The cloud is the new organising metaphor for computers.

SCREENING

To everyone’s surprise, ultra thin screens and tablets have launched an epidemic of reading and writing that has continued to swell.  The amount of time people spend reading has almost trebled since 1980.  By 2015 more than 60 trillion pages have been added to the World Wide Web, and that total grows by several billion a day.

Screening, in which information is read on a screen, encourages rapid pattern making, associating one idea with another, equipping us to deal with the thousands of new thoughts expressed every day.

Propaganda is less effective in a world of screens, because while misinformation travels fast, corrections do too.  Wikipedia works so well because it removes an error in a single click, making it easier to eliminate a falsehood than to post a falsehood in the first place.

In the goodness of time, each Wikipedia page will become saturated with blue links as every statement is cross-referenced.  In the goodness of time, as all books become fully digital, every one of them will accumulate the equivalent of blue underlined passages as each literary reference is networked within that book to all other books.

Brewster Kahle, an archivist who is backing up the entire Internet, says that a universal library is now within reach in which all the world’s literature is accessible to all the people of the world.  All the books within the books’ bibliographies will themselves be available, and so you can hop through the library in the same way we hop through web links, travelling from footnote to footnote until you reach the bottom of things.  In this way, all the books the world will be knitted together into a single networked literature.  A reader will be able to generate a social graph of an idea, or a timeline of a concept, or a networked map of influence for any notion in the library.  We’ll come to understand that no work, no idea stands alone, but that all good, true and beautiful things are ecosystems of intertwined parts and related entities, past and present.

If you can truly incorporate all texts – past and present in all languages – on a particular subject, then you can have a clearer sense of what we as a civilisation do and don’t know.

As portable screens become more powerful, lighter and larger, they will be used to view more of the ‘inner world’.  Hold an electronic tablet up as you walk along a street – or wear a pair of contact lenses – and it will show you an annotated overlay of the real street ahead: where the restrooms are, which stores sell your favourite items, where your friends are hanging out.  In the next 30 years semitransparent eyeglasses will apply an information layer to reality.  In this way, screens will enable us to “read” everything, not just text.

In the near future we will never be far from a screen from some sort.  Screens will be the first place we’ll look for answers, for friends, for news, for meaning, for our sense of who we are and who we can be.

ACCESSING

A reporter for TechCrunch recently observed, “Uber, the world’s largest taxi company, owns no vehicles.  Facebook, the world’s most popular media owner, creates no content.  Alibaba, the world’s most valuable retailer, has no inventory.  And Airbnb, the world’s largest accommodation provider, owns no real estate.  Something interesting is happening.”

Possession is not as important as it once was.  Accessing is more important than ever.

The trend in the past 30 years has been to make better stuff using fewer materials.  That’s called dematerialisation.  The total amount of material we use per GDP dollar is going down, which means we use less material for greater value.  A central advantage of the cloud for example, is that the bigger it gets, the smaller and thinner our devices can be.

The switch from “ownership that you purchase” to “access that you subscribe to” overturns many conventions.  Ownership is casual, fickle.  If something better comes along, grab it.  A subscription, on the other hand, gushes a never-ending stream of updates, issues and versions that force a constant interaction between the producer and consumer.

TVs, phones, and software as service are just the beginning.  In the last few years we’ve gotten hotels as service (Airbnb), tools as service (TechShop), clothes as service (Nerd Block, Sparkbox).  Just ahead are several hundred new startups trying to figure out how to do food as service (FaS).

Examples of new, digital business models…

Delivery: Let a network of freelancers deliver packages to homes (Uber for FedEx).  Design: Let a crowd of designers submit designs, just pay the winner (CrowdSpring).  Heath care: Coordinate sharing insulin pumps.  Real estate: Rent your garage s storage space, or an unused cubicle as office space for a startup (WeWork).

For many of the things we will use in the upcoming world, short-term use will be the norm.  As more items are invented and manufactured – as the total number of hours in the day to enjoy them remains fixed – we spend less time per item.  In other words, the long-term trend in our modern lives is that most goods and services will be short-term use.  Therefore most goods and services are candidates for rental and sharing.  Sharing economy services such as Netflix and Spotify for example, move audiences away from owning anything.

On average, communication technology is biased toward moving everything to on demand.  And on demand is biased toward access over ownership.

When everyone “owns” it, nobody owns it.  That is often what we mean by public property or the commons.  Just like with roads, the decentralised web/Internet is now the central public commons.  The good of the web serves us as if we owned it, yet we need to do very little to maintain it.

If McLuhan is right that tools are extension of our selves – a wheel an  extended leg, a camera an extended eye – then the cloud is our extended soul.  Or, if you prefer, our extended self.  In one sense, it is not an extended self we own, but one we have access to.

Collective action can create additional value that can only come from the group as a whole.  For instance, a pile of tourist snapshots of the Eiffel Tower, each taken from a different angle by a different tourist at a different time, and each one heavily tagged, can be assembled (using software such as Microsoft’s Photosynth) into a stunning 3D holistic rendering of the whole structure that is far more complex and valuable than the individual shots.

Instead of money, the peer producers who create various products and services online gain credit, status, reputation, enjoyment, satisfaction, and experience.

The most common motivation for working without pay (according to a survey of 2,784 open source developers) was “to learn and develop new skills.”

The largest, fastest growing, most profitable companies in 2050 will be companies that will have figured out how to harness aspects of sharing that are invisible and unappreciated today.  Anything that can be shared – thoughts, emotions, money, health, time – will be shared in the right conditions, with the right benefits.

FILTERING

It is 10 times easier today to make a simple video than 10 years ago.

We are still at the early stages in how and what we filter.  These powerful computational technologies can be – and will be – applied to the Internet of everything.

Since it is the last scarcity, wherever attention flows, money will follow.

Our lives are already significantly more complex than even five years ago.  We need to pay attention to far more sources in order to do our jobs, to learn, to parent, or even to be entertained.  Our seemingly distracted state and our endless flitting from one thing to another is not a sign of disaster, but it is a necessary adaptation to this current environment.  Google is not making us dumber.  Rather we need to web surf to be agile, to remain alert to the next new thing.  We therefore need a real-time system of filters upon filters in order to operate in the explosion of options we have created.

The only things that are increasing in cost while everything else heads to zero are human experiences – which cannot be copied.  Everything else becomes commoditised and filterable.  The value of experience is rising.

REMIXING

Growth comes from remixing.

Modern technologies are combinations of earlier primitive technologies that have been rearranged and remixed.

We live in a golden age of new mediums.  In the last several decades hundreds of media genres have been born, removed out of old genres.  Recombination is really the only source f innovation – and wealth.

Every creation that has any value will eventually be transformed – in some version – into something different.

The more powerful the invention or creation, the more likely and more important it is that it will be transformed by others.

In 30 years the most important cultural works and the most powerful mediums will be those that have been remixed the most.

INTERACTING

We are equipping our devices with senses – eyes, ears, motion – so that we can interact with them.  They will not only know we are there, they will know who is there and whether that person is in a good mood.  Of course, marketers would love to get hold of our quantified emotions, but this knowledge will serve us directly as well, enabling our devices to respond to us “with sensitivity” as we hope a good friend might.

TRACKING

We are opaque to ourselves and need all the help we can get to decipher who we are.  One modern aid is self-measurement.

Macroscopic measurements can be inserted into watches, clothes, spectacles, or phones, or inexpensively dispersed in our rooms, cars and public spaces.

Anything that can be tracked is being tracked by someone somewhere.

The achievable dream in the near future is to use a very personal database of your body’s record (including your full sequence of genes) to construct personal treatments and personalised medicines.

The AI in research labs is already powerful enough to sift through billions of records and surface important, meaningful patterns.

The fastest-increasing quantity on this planet is the amount of information we are generating.  It is (and has been) expanding faster than anything else we can measure over the scale of decades.

If today’s social media has taught us anything about ourselves as a species, it is that the human impulse to share overwhelms the human impulse for privacy.   Vanity trumps privacy.

QUESTIONNING

From this new societal organisation, new behaviours emerge that were impossible at the lower level.

Most of what “everybody knows” about human beings has so far been based on the human individual.  But there may be a million different ways to connect several billion people, and each way will reveal something new about us.  Or each way may create something new.  Either way, our humanity will shift.

BEGINNING

This is the time when inhabitants of this planet first linked themselves together into one very large thing.