Lon forehand (37 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: new. Paperback. Every constraint on human civilization - poverty, disease, conflict, inequality - has energy at its root. The history of human progress is the history of accessing more energy more cheaply. The agricultural revolution was an energy revolution. The industrial revolution was an energy revolution. The digital revolution was an energy revolution And what is coming - the convergence of artificial intelligence, clean energy, advanced storage, quantum computing, and intelligent physical systems - is an energy revolution of a different order entirely. Not incremental - civilizational. The Energy Liberation is the account of that convergence - what is breaking open in physics and engineering, how AI is accelerating it, where the revolution is being built, and who benefits when energy becomes genuinely cheap, clean, and abundant. Written by Lon Forehand - AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert - this is not a book about climate policy. It is about civilizational transformation and whether it liberates all of humanity or concentrates its gains in the hands of a few. What this book reveals: The box we lived in was built from energy scarcity. Every institution, every economic arrangement, every geopolitical calculation was made in a world where energy was expensive, finite, and controlled by whoever held the resource. That world is ending - and the question is who designs the replacement. The physics is breaking open faster than policy can track. Breakthroughs in solar efficiency, battery chemistry, and fusion research are arriving on timelines considered impossible five years ago. AI is accelerating each of them-not as a supporting tool but as a discovery engine finding solutions in spaces human researchers could not search. The storage revolution is the piece most energy analysis ignores. Generation is nearly solved. Storage - holding, moving, and deploying energy where and when it is needed - is the constraint that determines whether cheap generation becomes cheap energy for everyone. The geography of the energy revolution is not where most people think. The countries building the infrastructure of the new energy order are not necessarily the ones that dominated the old one - the most underreported consequence of the clean energy transition. Eight arguments about the energy civilization being built: - Energy scarcity was the master constraint on all human civilization - and it is being removed- Scientific breakthroughs in physics and chemistry are rewriting what is energetically possible- AI is not just supporting the energy transition-it is accelerating it as a discovery engine- Storage is the constraint that determines whether generation becomes liberation- Intelligent physical systems are changing how energy infrastructure is built and managed- Quantum computing is opening solution spaces in energy science that were previously inaccessible- Access to cheap clean energy will not be automatic - it requires deliberate democratic choices- The policy window for shaping the energy transition is open now and will not stay open Who this book is for: Engineers and scientists at the frontier of energy technology. Investors trying to understand where the next decade of energy value is being created. Policy makers with the power to accelerate or obstruct the transition. And anyone who has grasped that cheap, clean, abundant energy is not an environmental question-it is the foundation of every other human aspiration. The Energy Liberation is the eighth book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, including bud Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. For all of economic history, capital needed labor to generate returns. That relationship is being severed. The rules governing markets, money, labor, and power were written for a world where human cognitive capacity was the binding constraint on economic output. Those rules-encoded in law, regulation, and institutional practice-are now encountering a technology that makes intelligence abundant, cheap, and tireless. The collision is not theoretical. It is happening in venture capital allocation decisions, central bank policy frameworks, commercial lending algorithms, labor markets, cryptocurrency infrastructure, and courtrooms simultaneously. Capital Without Labor is the account of that collision-what it is breaking, what it is building in its place, and who is positioned to gain or lose in the economy that emerges. Written by Lon Forehand-AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert-this is not a book about AI's economic potential. It is a book about the economic transformation already underway and the specific, consequential decisions being made right now that will determine whether the AI economy distributes its gains broadly or concentrates them catastrophically. What this book reveals: The capital is moving faster than the analysis. AI venture funding has created an investment architecture that looks nothing like prior technology cycles-the concentration, leverage, and time horizons are fundamentally different. Where the money goes determines what economy gets built. Central banks are navigating with instruments designed for a different era. The inflation signals and monetary mechanisms anchoring Federal Reserve policy were calibrated for a human-speed economy - one that no longer exists. The unequal frontier is the most urgent equity story in the AI economy. Small businesses and minority entrepreneurs are not receiving equal access to the tools reshaping competitive dynamics-and that gap is compounding faster than any prior technology adoption gap. A parallel financial system is being built without permission. Crypto, stablecoins, and decentralized finance are not primarily ideological projects - they are responses to the specific failures and exclusions of the existing financial infrastructure. Understanding what is being built outside regulated systems is essential to understanding where those systems are heading. Eight arguments about the economy being built around us: - This structural shift is categorically different from prior automation waves- The new architecture of AI capital is concentrating in ways that will define inequality- AI is rewriting the permission structure of finance and banking- Central bank tools were calibrated for a world that no longer exists- The jobs that remain after automation are not randomly distributed- Access to the AI economy is not evenly distributed-and the gap is widening- The legal system's collision with AI on copyright and liability has no settled outcome- The governance question is also an economic question - who regulates determines who wins Who this book is for: Investors whose models were built for a world AI has already left behind. Business owners navigating AI-enabled competition. Policy makers setting rules for markets moving faster than legislation. Workers trying to understand what the AI economy means for their wages. And anyone who wants to understand not just that the economy is changing - but how, in whose favor, and what the alternatives are. Capital Without Labor is the sixth book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, including budg Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: new. Paperback. The last technology revolution created trillion-dollar companies and left millions of workers behind. This one does not have to. The internet did not democratize opportunity-it concentrated it. The platforms captured the value. Communities became the product. Workers found gig economy precarity. Small businesses competed against algorithms they could not afford. AI arrives when the people who lived through that last betrayal are still here, still waiting for the promise to be kept. The Democratization Dividend is the argument-and the evidence-that this time can be different-but only if the choices that determine who captures the value are made deliberately, with the people left behind last time at the center of the design. Written by Lon Forehand-AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert-this is the culminating book in the series. Its core argument: the question of AI is not technical but political, not inevitable but chosen, not about what AI can do but about who it does it for. What this book reveals: The solopreneur economy is real and growing. AI gives the individual operator capabilities that previously required a team-but only if they have access, training, and the economic security to take the risk. The democratization gap is not a technology problem. It is a distribution problem. The agentic architecture of work is arriving faster than workers or employers understand. The transition from AI as a tool to AI as an autonomous workforce is a present-tense implementation challenge being navigated by organizations that largely do not know what they are doing. The infrastructure shift toward smaller, cheaper, locally deployable AI is the most underreported democratization story. As capability moves from hyperscaler data centers to edge devices, the concentration dynamic that defined the internet era becomes contestable. The classroom has become the highest-stakes battleground. Students being educated today will work in the AI economy for fifty years. The credential systems certifying them were designed for a different economy-and getting this transition right is the most consequential economic policy question of the next decade. Eight arguments for why the dividend can be distributed broadly - if we choose it: - The distribution of AI's gains is not predetermined-it is a choice point- Capital concentration in AI is a policy outcome, not an inevitability- The solopreneur economy is the most promising democratization vector- The path taken at the workforce crossroads will define economic dignity for a generation- Agentic AI is arriving faster than transition infrastructure exists to support it- Smaller, cheaper AI is the democratization opening- Education is failing the transition-students will carry the cost for decades- Governance is not the enemy of democratization-it is the mechanism Who this book is for: Everyone who believed the last technology revolution's promise and watched it go somewhere else. Entrepreneurs building in communities that have never been a technology boom's center. Workers navigating a transition with no map. Educators preparing students for a future arriving faster than curriculum cycles. Policy makers writing the rules that determine who captures the value. And anyone who believes the purpose of the most powerful technology in history should be the flourishing of all humanity-not just the few who got there first. The Democratization Dividend is the ninth and final book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, including budget and policy work for NASA and major aerospac Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Condizione: new. Paperback. For most of human history, intelligence was always attached to a body that needed sleep. That just changed. AI agents do not clock out. They do not get distracted, take sick days, or need a manager's approval before acting on a decision. They execute. Across customer service desks, legal research queues, software development pipelines, supply chain control rooms, and hospital intake systems, AI agents are not augmenting human workers - they are replacing entire workflows. The question is no longer whether AI will act autonomously. It already does. The question is whether the humans, institutions, and governments that built the world those agents are now running have any plan for what comes next. When AI Acts is the account of the agentic revolution already underway - industry by industry, workforce by workforce, institution by institution - and what it means for everyone who lives and works in the world these systems are rapidly remaking. Written by Lon Forehand - AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert - this is not a book about the future of AI. It is a book about what AI agents are doing right now, why the pace is faster than any prior technology transition in recorded history, and what the window for deliberate response actually looks like. What this book reveals: The headcount model is breaking. Small teams with the right agentic stack now outcompete enterprises that built advantage on workforce scale. The solopreneur operating at the leverage of fifty people five years ago is not a metaphor - it is a documented business reality. The democratization gap is real. Access to agentic tools is not evenly distributed - the communities and workers who most need productivity gains are last to receive them while enterprises capture the advantage first. That is a policy choice, not a technical inevitability. Agentic cybersecurity is an arms race with no finish line. The same capabilities that make agents powerful make them devastating for attacks - and the security perimeter built for human-speed threats does not exist at machine speed. Governing agents is the hardest regulatory problem any government has faced. The model of holding humans accountable for human decisions breaks when the decision was made by an agent acting on instructions written months ago by someone who no longer works at the company. Eight arguments for why the agentic era is different from every prior wave of automation: - AI agents constitute a new kind of workforce - one that scales instantly and costs nearly nothing- The industry-by-industry transformation is already documented, not projected- The headcount model that organized twentieth-century business is structurally obsolete- Labor market displacement in the agentic era is faster and broader than any prior automation wave- The democratization gap is widening - access to agentic leverage is not evenly distributed- The regulatory frameworks designed for human actors cannot govern autonomous agents- Humanoid robots are the physical manifestation of the agentic revolution - and they are here- The path from today's agents to AGI is shorter than almost anyone in policy is modeling Who this book is for: Business owners watching competitors do in hours what used to take weeks. Workers whose job descriptions are being rewritten by systems they never saw coming. Policy makers asked to regulate something moving faster than any prior regulatory challenge. When AI Acts is the fifth book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, including budget and policy work for NASA and major aero Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. The scientific method took 400 years to build. AI is rebuilding it in a decade. The way humanity discovers things is changing. Not incrementally - structurally. AI systems are finding patterns no human researcher could process, identifying drug candidates that decades of traditional research missed, predicting protein structures that stumped biochemists for half a century, and flagging cardiac anomalies in populations that have never seen a cardiologist. The acceleration is real, documented, and happening faster than the institutions built to govern scientific progress can respond. The Acceleration is the account of what is actually happening at the frontier of AI-driven science - and what it means for medicine, physics, engineering, climate, space, and who gets to benefit from discoveries that should belong to all of humanity. Written by Lon Forehand - AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert - this is not a book about the promise of AI in science. It is about the reality: diagnoses already being made earlier, drugs already moving through AI-accelerated pipelines, quantum breakthroughs already rewriting what is computationally possible, and an equity gap already widening between institutions with access to these tools and those without. What this book reveals: Medicine is being transformed at every layer simultaneously. AI is detecting cancers before symptoms appear, predicting cardiac events invisible to human cardiologists, and identifying drug interactions no clinical trial was designed to catch. The cardiologist ratio - the gap between how many cardiac patients exist and how many cardiologists exist to treat them - is closing through intelligent systems deployed at scale. The drug development pipeline is being rebuilt from its foundations. AI is collapsing time between target identification and clinical candidate, searching chemical spaces too vast for any human team, and predicting trial failure modes early enough to redirect resources before billion-dollar losses accumulate. Quantum computing and AI are converging in ways that will redefine what is scientifically possible. The problems that were computationally intractable - materials discovery, high-resolution climate modeling, protein folding at scale - are becoming tractable. The ceiling is rising. Who has access to what is above it is the question this book refuses to defer. Nine transformations already underway: - AI is restructuring the architecture of scientific discovery itself- Medical diagnosis is moving from reactive to predictive- Global healthcare capacity gaps are closing through intelligent deployment- Drug development timelines are collapsing under AI-accelerated pipelines- Industrial engineering is being transformed by AI systems that reason physically- Quantum computing is breaking the ceiling on what science can compute- Low Earth orbit is becoming a new frontier for AI-enabled research- Clean energy is being transformed by AI optimization- The democratization of scientific acceleration is being decided right now Who this book is for: Scientists watching their fields transform faster than their institutions. Policy makers funding science without understanding what AI is doing to its pace. Entrepreneurs building where AI-accelerated discovery is creating new industries. And anyone who understands that human health, energy, and survival in the next century will be shaped by what we discover in the next decade. The Acceleration is the third book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, including budget and policy work for Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: new. Paperback. For most of human history, intelligence was always attached to a body that needed sleep. That just changed. AI agents do not clock out. They do not get distracted, take sick days, or need a manager's approval before acting on a decision. They execute. Across customer service desks, legal research queues, software development pipelines, supply chain control rooms, and hospital intake systems, AI agents are not augmenting human workers - they are replacing entire workflows. The question is no longer whether AI will act autonomously. It already does. The question is whether the humans, institutions, and governments that built the world those agents are now running have any plan for what comes next. When AI Acts is the account of the agentic revolution already underway - industry by industry, workforce by workforce, institution by institution - and what it means for everyone who lives and works in the world these systems are rapidly remaking. Written by Lon Forehand - AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert - this is not a book about the future of AI. It is a book about what AI agents are doing right now, why the pace is faster than any prior technology transition in recorded history, and what the window for deliberate response actually looks like. What this book reveals: The headcount model is breaking. Small teams with the right agentic stack now outcompete enterprises that built advantage on workforce scale. The solopreneur operating at the leverage of fifty people five years ago is not a metaphor - it is a documented business reality. The democratization gap is real. Access to agentic tools is not evenly distributed - the communities and workers who most need productivity gains are last to receive them while enterprises capture the advantage first. That is a policy choice, not a technical inevitability. Agentic cybersecurity is an arms race with no finish line. The same capabilities that make agents powerful make them devastating for attacks - and the security perimeter built for human-speed threats does not exist at machine speed. Governing agents is the hardest regulatory problem any government has faced. The model of holding humans accountable for human decisions breaks when the decision was made by an agent acting on instructions written months ago by someone who no longer works at the company. Eight arguments for why the agentic era is different from every prior wave of automation: - AI agents constitute a new kind of workforce - one that scales instantly and costs nearly nothing- The industry-by-industry transformation is already documented, not projected- The headcount model that organized twentieth-century business is structurally obsolete- Labor market displacement in the agentic era is faster and broader than any prior automation wave- The democratization gap is widening - access to agentic leverage is not evenly distributed- The regulatory frameworks designed for human actors cannot govern autonomous agents- Humanoid robots are the physical manifestation of the agentic revolution - and they are here- The path from today's agents to AGI is shorter than almost anyone in policy is modeling Who this book is for: Business owners watching competitors do in hours what used to take weeks. Workers whose job descriptions are being rewritten by systems they never saw coming. Policy makers asked to regulate something moving faster than any prior regulatory challenge. When AI Acts is the fifth book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, including budget and policy work for NASA a Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. The scientific method took 400 years to build. AI is rebuilding it in a decade. The way humanity discovers things is changing. Not incrementally - structurally. AI systems are finding patterns no human researcher could process, identifying drug candidates that decades of traditional research missed, predicting protein structures that stumped biochemists for half a century, and flagging cardiac anomalies in populations that have never seen a cardiologist. The acceleration is real, documented, and happening faster than the institutions built to govern scientific progress can respond. The Acceleration is the account of what is actually happening at the frontier of AI-driven science - and what it means for medicine, physics, engineering, climate, space, and who gets to benefit from discoveries that should belong to all of humanity. Written by Lon Forehand - AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert - this is not a book about the promise of AI in science. It is about the reality: diagnoses already being made earlier, drugs already moving through AI-accelerated pipelines, quantum breakthroughs already rewriting what is computationally possible, and an equity gap already widening between institutions with access to these tools and those without. What this book reveals: Medicine is being transformed at every layer simultaneously. AI is detecting cancers before symptoms appear, predicting cardiac events invisible to human cardiologists, and identifying drug interactions no clinical trial was designed to catch. The cardiologist ratio - the gap between how many cardiac patients exist and how many cardiologists exist to treat them - is closing through intelligent systems deployed at scale. The drug development pipeline is being rebuilt from its foundations. AI is collapsing time between target identification and clinical candidate, searching chemical spaces too vast for any human team, and predicting trial failure modes early enough to redirect resources before billion-dollar losses accumulate. Quantum computing and AI are converging in ways that will redefine what is scientifically possible. The problems that were computationally intractable - materials discovery, high-resolution climate modeling, protein folding at scale - are becoming tractable. The ceiling is rising. Who has access to what is above it is the question this book refuses to defer. Nine transformations already underway: - AI is restructuring the architecture of scientific discovery itself- Medical diagnosis is moving from reactive to predictive- Global healthcare capacity gaps are closing through intelligent deployment- Drug development timelines are collapsing under AI-accelerated pipelines- Industrial engineering is being transformed by AI systems that reason physically- Quantum computing is breaking the ceiling on what science can compute- Low Earth orbit is becoming a new frontier for AI-enabled research- Clean energy is being transformed by AI optimization- The democratization of scientific acceleration is being decided right now Who this book is for: Scientists watching their fields transform faster than their institutions. Policy makers funding science without understanding what AI is doing to its pace. Entrepreneurs building where AI-accelerated discovery is creating new industries. And anyone who understands that human health, energy, and survival in the next century will be shaped by what we discover in the next decade. The Acceleration is the third book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, including budget and po Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Paperback. Condizione: new. Paperback. For most of human history, the ceiling on a human life was set by economics. AI is removing that ceiling. The question humans have always asked - what could I become if survival were not the primary constraint? - is about to get an answer at scale. AI is automating the conditions that have kept billions of people below the threshold where meaning, creativity, and fulfillment become possible. The late diagnosis, the education that never arrived, the drug that existed but cost too much - these are tragedies of access that AI has the capacity to solve. The Flourishing Machine is the account of that capacity-and the argument that capacity alone is not enough. Flourishing requires choices and institutions that distribute the gains rather than concentrate them. Written by Lon Forehand - AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert - this is the most personal book in the series. It is about what the transformation is ultimately for: not productivity or GDP, but the expansion of what a human life can be What this book reveals: The diagnostic revolution is already saving lives-and the lives it is not yet saving reveal the access gap more clearly than any policy document. AI detects cancers earlier, predicts cardiac events, and flags drug interactions no clinician could track manually. But these tools are not evenly distributed-the communities that most need early detection are often last to receive it. The approval bottleneck is the most solvable problem standing between existing medical knowledge and the people who need it The frameworks governing drug and device approval were designed for slow evidence accumulation. AI generates evidence at a pace they were never built to process-reforming them is overdue, not radical The education system is failing its transformation moment. The credential factory model was designed to produce workers for an economy being rebuilt from scratch. Students entering school today will work in jobs that have not been named yet-and the institutions meant to prepare them are not honest about it. Technology in the classroom is not a solution-it is a question. The evidence on what helps children learn versus what merely occupies them is more nuanced than the ed-tech industry acknowledges. Getting this right matters because the children who receive the wrong answer carry it for a lifetime. Eight arguments for why flourishing is a choice, not an outcome - The AI inflection point is a civilizational opportunity-and opportunities can be missed- What people most want AI to solve is not what most AI is being built to solve- The diagnostic revolution exists-the access gap is what stands between it and most people- The approval institutions gatekeeping human health were built for a slower world- The education system is failing the transformation moment in real time- Technology in classrooms helps or harms depending entirely on implementation- Worker displacement without dignity is a policy failure, not an inevitability- The possibility horizon is real-but only if we choose it deliberately Who this book is for: Parents who want to understand what AI means for their children's futures. Clinicians navigating diagnostic tools their training never covered. Educators caught between institutional inertia and student need. Policy makers with the power to reform systems that are failing. And anyone who believes the purpose of this moment is not efficiency-but the expansion of what a human life can be The Flourishing Machine is the seventh book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, i Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. Every constraint on human civilization - poverty, disease, conflict, inequality - has energy at its root. The history of human progress is the history of accessing more energy more cheaply. The agricultural revolution was an energy revolution. The industrial revolution was an energy revolution. The digital revolution was an energy revolution And what is coming - the convergence of artificial intelligence, clean energy, advanced storage, quantum computing, and intelligent physical systems - is an energy revolution of a different order entirely. Not incremental - civilizational. The Energy Liberation is the account of that convergence - what is breaking open in physics and engineering, how AI is accelerating it, where the revolution is being built, and who benefits when energy becomes genuinely cheap, clean, and abundant. Written by Lon Forehand - AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert - this is not a book about climate policy. It is about civilizational transformation and whether it liberates all of humanity or concentrates its gains in the hands of a few. What this book reveals: The box we lived in was built from energy scarcity. Every institution, every economic arrangement, every geopolitical calculation was made in a world where energy was expensive, finite, and controlled by whoever held the resource. That world is ending - and the question is who designs the replacement. The physics is breaking open faster than policy can track. Breakthroughs in solar efficiency, battery chemistry, and fusion research are arriving on timelines considered impossible five years ago. AI is accelerating each of them-not as a supporting tool but as a discovery engine finding solutions in spaces human researchers could not search. The storage revolution is the piece most energy analysis ignores. Generation is nearly solved. Storage - holding, moving, and deploying energy where and when it is needed - is the constraint that determines whether cheap generation becomes cheap energy for everyone. The geography of the energy revolution is not where most people think. The countries building the infrastructure of the new energy order are not necessarily the ones that dominated the old one - the most underreported consequence of the clean energy transition. Eight arguments about the energy civilization being built: - Energy scarcity was the master constraint on all human civilization - and it is being removed- Scientific breakthroughs in physics and chemistry are rewriting what is energetically possible- AI is not just supporting the energy transition-it is accelerating it as a discovery engine- Storage is the constraint that determines whether generation becomes liberation- Intelligent physical systems are changing how energy infrastructure is built and managed- Quantum computing is opening solution spaces in energy science that were previously inaccessible- Access to cheap clean energy will not be automatic - it requires deliberate democratic choices- The policy window for shaping the energy transition is open now and will not stay open Who this book is for: Engineers and scientists at the frontier of energy technology. Investors trying to understand where the next decade of energy value is being created. Policy makers with the power to accelerate or obstruct the transition. And anyone who has grasped that cheap, clean, abundant energy is not an environmental question-it is the foundation of every other human aspiration. The Energy Liberation is the eighth book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condizione: new. Paperback. The last technology revolution created trillion-dollar companies and left millions of workers behind. This one does not have to. The internet did not democratize opportunity-it concentrated it. The platforms captured the value. Communities became the product. Workers found gig economy precarity. Small businesses competed against algorithms they could not afford. AI arrives when the people who lived through that last betrayal are still here, still waiting for the promise to be kept. The Democratization Dividend is the argument-and the evidence-that this time can be different-but only if the choices that determine who captures the value are made deliberately, with the people left behind last time at the center of the design. Written by Lon Forehand-AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert-this is the culminating book in the series. Its core argument: the question of AI is not technical but political, not inevitable but chosen, not about what AI can do but about who it does it for. What this book reveals: The solopreneur economy is real and growing. AI gives the individual operator capabilities that previously required a team-but only if they have access, training, and the economic security to take the risk. The democratization gap is not a technology problem. It is a distribution problem. The agentic architecture of work is arriving faster than workers or employers understand. The transition from AI as a tool to AI as an autonomous workforce is a present-tense implementation challenge being navigated by organizations that largely do not know what they are doing. The infrastructure shift toward smaller, cheaper, locally deployable AI is the most underreported democratization story. As capability moves from hyperscaler data centers to edge devices, the concentration dynamic that defined the internet era becomes contestable. The classroom has become the highest-stakes battleground. Students being educated today will work in the AI economy for fifty years. The credential systems certifying them were designed for a different economy-and getting this transition right is the most consequential economic policy question of the next decade. Eight arguments for why the dividend can be distributed broadly - if we choose it: - The distribution of AI's gains is not predetermined-it is a choice point- Capital concentration in AI is a policy outcome, not an inevitability- The solopreneur economy is the most promising democratization vector- The path taken at the workforce crossroads will define economic dignity for a generation- Agentic AI is arriving faster than transition infrastructure exists to support it- Smaller, cheaper AI is the democratization opening- Education is failing the transition-students will carry the cost for decades- Governance is not the enemy of democratization-it is the mechanism Who this book is for: Everyone who believed the last technology revolution's promise and watched it go somewhere else. Entrepreneurs building in communities that have never been a technology boom's center. Workers navigating a transition with no map. Educators preparing students for a future arriving faster than curriculum cycles. Policy makers writing the rules that determine who captures the value. And anyone who believes the purpose of the most powerful technology in history should be the flourishing of all humanity-not just the few who got there first. The Democratization Dividend is the ninth and final book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, including budget and policy work for NASA and m Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Paperback. Condizione: new. Paperback. For all of economic history, capital needed labor to generate returns. That relationship is being severed. The rules governing markets, money, labor, and power were written for a world where human cognitive capacity was the binding constraint on economic output. Those rules-encoded in law, regulation, and institutional practice-are now encountering a technology that makes intelligence abundant, cheap, and tireless. The collision is not theoretical. It is happening in venture capital allocation decisions, central bank policy frameworks, commercial lending algorithms, labor markets, cryptocurrency infrastructure, and courtrooms simultaneously. Capital Without Labor is the account of that collision-what it is breaking, what it is building in its place, and who is positioned to gain or lose in the economy that emerges. Written by Lon Forehand-AI policy analyst, 24-year Congressional affairs veteran, and NASA policy expert-this is not a book about AI's economic potential. It is a book about the economic transformation already underway and the specific, consequential decisions being made right now that will determine whether the AI economy distributes its gains broadly or concentrates them catastrophically. What this book reveals: The capital is moving faster than the analysis. AI venture funding has created an investment architecture that looks nothing like prior technology cycles-the concentration, leverage, and time horizons are fundamentally different. Where the money goes determines what economy gets built. Central banks are navigating with instruments designed for a different era. The inflation signals and monetary mechanisms anchoring Federal Reserve policy were calibrated for a human-speed economy - one that no longer exists. The unequal frontier is the most urgent equity story in the AI economy. Small businesses and minority entrepreneurs are not receiving equal access to the tools reshaping competitive dynamics-and that gap is compounding faster than any prior technology adoption gap. A parallel financial system is being built without permission. Crypto, stablecoins, and decentralized finance are not primarily ideological projects - they are responses to the specific failures and exclusions of the existing financial infrastructure. Understanding what is being built outside regulated systems is essential to understanding where those systems are heading. Eight arguments about the economy being built around us: - This structural shift is categorically different from prior automation waves- The new architecture of AI capital is concentrating in ways that will define inequality- AI is rewriting the permission structure of finance and banking- Central bank tools were calibrated for a world that no longer exists- The jobs that remain after automation are not randomly distributed- Access to the AI economy is not evenly distributed-and the gap is widening- The legal system's collision with AI on copyright and liability has no settled outcome- The governance question is also an economic question - who regulates determines who wins Who this book is for: Investors whose models were built for a world AI has already left behind. Business owners navigating AI-enabled competition. Policy makers setting rules for markets moving faster than legislation. Workers trying to understand what the AI economy means for their wages. And anyone who wants to understand not just that the economy is changing - but how, in whose favor, and what the alternatives are. Capital Without Labor is the sixth book in the AGI Coming Soon series. About the author: Lon Forehand spent 24 years at the intersection of technology policy and Congressional affairs, i Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.