The New Future Framework: Navigating the Intelligence Revolution
In an era of accelerating change—marked by economic pressures, geopolitical fractures, behavioural rewiring, and the dawn of AI-driven abundance—this framework offers a compass for reclaiming agency and purpose. Drawing from the mechanics of today’s society through four interconnected pillars (the debt-fuelled Economic Model, the centralizing forces of Governance and Information, the primal drives of Human Behaviour, and the exponential arcs of Technology and Infrastructure), it maps the unease of our current landscape, traces the historical roots of scarcity paradigms, and charts bold shifts toward decentralized, intelligent autonomy by 2040. Far from abstract theory, this model culminates in actionable steps for self-directed learning, behavioural mastery, soul-nurturing practices, community-building, and entrepreneurial resilience, empowering you to thrive amid the chaos rather than merely survive it. As a living blueprint, it evolves with the intelligence revolution, inviting you to expand its insights through curiosity and collaboration.
- The world today is increasingly more complex and difficult to understand.
- Life for many leaves a sense of feeling poorer yet having to work harder to maintain a standard of living.
- We can detect a decline in our personal sense of belonging and purpose in life yet have no real idea of why this is or how to change this.
- The world around us feels increasingly unsafe and angrier as time passes.
- The emergence of artificial intelligence has many of us feeling anxious about our jobs and what the future holds for us.
- The world is changing at an increasingly rapid pace, particularly in 2025
- Because of all these statements we feel increasingly despondent, and life feels more of a struggle to survive rather than a mission to thrive.
- Dollar-denominated debt-based monetary system (a global framework where most debts are priced in U.S. dollars, amplifying fiscal dominance and influencing international investment flows through currency strength).
- Fiscal dominance and long-term debt cycles (government spending increasingly overriding central bank policies, creating multi-decade loops of borrowing, growth, and potential crises).
- Liquidity cycles and business cycles (fluctuations in available capital that drive booms and busts, often tied to central bank actions and market sentiment).
- Currency debasement (the gradual erosion of money’s value via inflation, acting as a hidden tax that historically parallels ancient coin clipping and erodes trust in fiat systems today).
- Fiat currency vs. hard assets (paper money backed by trust contrasting with tangible or digital stores like gold or Bitcoin, highlighting vulnerabilities in erosion-prone systems).
- GDP heuristic: Demographics + productivity + debt (a simplified model explaining national output as driven by population dynamics, efficiency gains, and borrowing levels to fuel expansion).
- Scarcity vs. abundance paradigms (a shift from limited resources defining economics to AI-enabled infinite supply, reshaping incentives and value creation).
- Demographics (population trends like aging societies that shape investment patterns and economic growth, as seen in blueprints for tech and crypto flows).
- Wealth concentration (the funnelling of resources from historical land ownership to modern AI and tech assets, exacerbating inequality as per patterns observed by economists like Piketty).
- Market psychology / Sentiment (behavioural forces like fear and greed that propel financial cycles, influencing everything from stock crashes to crypto rallies).
- Bitcoin/Crypto as alternatives (digital assets serving as hedges against fiat weaknesses, with ongoing debates on their role as true stores of value in volatile markets).
- Attention economy (monetising human focus in digital spaces, evolving from industrial capital to AI-amplified engagement as a core driver of value).
- Innovation cycles (recurring waves of breakthroughs, such as AI and crypto synergies that accelerate economic transformation and create new investment opportunities).
- Future economic models (visions like a post-debt abundance flywheel by 2040, where tech eliminates scarcity and redefines growth beyond traditional constraints).
- Exponential productivity surges in the intelligence revolution (AI driving efficiency gains far beyond the industrial era through rapid cost reductions and empowering individuals with new economic opportunities).
- Humanoid robots as “infinite demographics” (automation providing endless labour equivalents to counter population declines, revolutionising productivity in aging economies).
- Attention/AI as capital evolution (a progression from physical land in the 1970s UK industrial era to human-AI attention as the new scarce resource defining 2025’s economic landscape).
- Economic singularity (the convergence of AI and crypto by 2040 that dismantles linear industrial business models, replacing wholesaler markups with exponential, zero-marginal-cost abundance).
- Education as economic machinery (traditional factory-style schooling designed for labour efficiency, becoming obsolete in post-scarcity worlds where AI handles rote preparation).
- Tokenisation arbitrage (unlocking value by converting illiquid real-world assets like land, property or royalties into fractional, tradable digital tokens accessible to global investors).
- Blockspace as a commodity (blockchain capacity emerging as a scarce digital resource, echoing early internet infrastructure booms and becoming a foundational element of token economies).
- Democracy and its limits (systems of rule by the people constrained by representation gaps, contrasting ancient direct models with modern bureaucratic hurdles).
- Iron law of oligarchy (the inevitable rise of elite control within democratic institutions, leading to hierarchical bureaucracies that distance citizens from decision-making).
- Geopolitics and liberal order decline (shifting global alliances, such as Ukraine conflicts and Trump-Zelensky tensions, signalling the erosion of post-WWII international frameworks).
- Power and the bundling/unbundling of it (the consolidation or fragmentation of authority in institutions, shifting from centralised states to decentralised networks).
- Fourth turning (generational cycles of societal crisis and renewal, marking periods of upheaval that reshape governance and cultural norms).
- Elite distrust in Western democracy (growing disillusionment rooted in the gap between ancient direct participation and today’s UK-style bureaucratic systems, fuelling voter apathy).
- Media’s role in shaping narratives (platforms influencing public perception through addictive algorithms, often hijacking mental health and amplifying biased stories).
- Information asymmetry (uneven access to data enabling propaganda and truth decay, exacerbated by AI tools in media manipulation).
- Adversarial age divisions (fractured societies amplified by digital feeds, where the skill of language craft in AI prompting can unlock agency amid echo chambers and polarisation).
- Direct democracy experiments (innovations like blockchain-enabled voting that revive participatory governance, drawing from Athenian ideals to counter modern alienation).
- Limbic system (the brain’s emotional core that instinctively drives decisions, linking primal survival urges to modern market and tech behaviours).
- Biological algorithms (human decision patterns as innate code, evolved over millennia to handle scarcity but challenged by abundance eras).
- System 1 (intuitive) vs. System 2 (rational) thinking (fast emotional processing contrasting with deliberate logic, often leading to biases in high-stakes scenarios).
- Negative bias (an evolutionary mechanism that amplifies threats for survival, skewing perceptions toward pessimism in uncertain times).
- Affect theory (emotions as fundamental motivators shaping responses, influencing everything from consumer choices to societal shifts per thinkers like Tomkins).
- Limbic code as inescapable (ancient brain structures clashing with AI algorithms, persisting as unchangeable signals amid technological flux per Harari-inspired insights).
- Chaos wiring (the brain’s inherent adaptation to uncertainty, decoding behaviours that thrive in disorder).
- Primal urges in abundance (instincts like stockpiling that endure in AI-generated plenty, steering economic shifts from fiat scarcity to token-driven wealth).
- Market psychology (behavioural forces like fear and greed that propel financial cycles, influencing everything from stock crashes to crypto rallies).
- Identity and consumerism (tech-driven rewiring of self-concept, evolving from 1950s myths to 2050s AI-curated personas amid individualism’s rise).
- Myth and meaning (cultural narratives that construct personal and collective reality, providing anchors in a world of rapid change).
- Semiotics in advertising (signs and symbols that craft desire, drawing from structuralist ideas to manipulate consumer identity through media).
- Status symbols and desire evolution (objects like iPhones signalling social position, tracing from ancient rituals to modern marketing-driven wants).
- Flexible mind rewiring (adapting mental models to overcome pride or fear in investing and life, enabling release from outdated self-stories).
- Recombination (the creative remixing of ideas and culture in chaotic settings, fostering innovation through adaptive chaos).
- Consciousness and soul (explorations of inner depths potentially unlocked by AI, questioning human essence in a tech-dominated future).
- Social media’s impact on meaning (platforms rewriting individual significance through trends, often hijacking mental health via addictive loops).
- AI algorithms mimicking/influencing behaviour (digital systems that replicate or nudge human patterns, such as super intelligence subtly preserving individual agency).
- Language craft for AI agency (precise prompting as a skill to navigate adversarial divides, unlocking collaborative potential in polarised, feed-saturated environments).
- Behavioural echoes in transitions (human instincts mirroring across eras, such as fear/greed persisting in price actions during scarcity-to-abundance pivots).
- Blockchains (decentralised ledgers enabling trustless transactions, forming the backbone of programmable economies).
- Decentralisation (a move away from centralised control toward distributed networks, empowering individuals over institutions).
- Energy and compute (critical resources bottlenecking tech scaling, demanding sustainable solutions for exponential growth).
- AGI/ASI (artificial general or superintelligence that transcends human limits, potentially unlocking universal cognition).
- Digital intelligence (AI extending beyond biology, amplifying human thought in biology and tech contexts).
- Blockspace as foundational infrastructure (blockchain capacity as an abstract yet scarce commodity, paralleling the internet’s early, hazy potential now realised in digital eras).
- Programmable money (smart contracts that automate financial agreements, enhancing efficiency in peer-to-peer systems).
- Composable contracts (modular, interoperable code that builds complex applications from simple components, fostering innovation).
- Agentic AI (autonomous systems pursuing goals independently, transforming tasks from routine labour to strategic execution).
- Humanoid robots (physical embodiments of AI that revolutionize work and society, addressing demographic shortfalls with versatile automation).
- Digital intelligence as capital (AI serving as an accelerative tool in learning loops, enabling individuals to pursue outsized gains through iterative knowledge building).
- Intelligence revolution scale (AI eclipsing industrial productivity via drastic cost efficiencies, opening unprecedented opportunities for personal and societal empowerment).
- Linear to exponential shifts (transitions from steady growth to doubling paradigms, like the chessboard legend applied to tech, where early subtlety explodes into massive scale).
- Emerging horizontals (cross-domain enablers like AI/crypto or media convergence that catalyse systemic shifts, breaking vertical silos for unprecedented value creation).
- Token economies (systems incentivising participation through mechanisms like proof of personhood, powering engagement-driven markets).
- The network state (digital-first communities redefining governance, as envisioned in futuristic models beyond traditional borders).
- Digital self (virtual representations like twins integrated with crypto, owning and monetising personal data in future economies).
- Stablecoins and regulations (assets pegged for stability, supercharged by policies like SEC/IMF rules for broader adoption).
- Quantum chips and impacts (advanced hardware boosting computation, with market and economic ripples in production scales).
- Climate-tech intersections (massive investments like $70 trillion booms to combat crises, merging tech with environmental salvation).
- Human-tech dark sides (reflections like AI-Pornhub dynamics mirroring societal collapse, highlighting ethical pitfalls).
- Dollar-denominated debt-based system emerged post-WWII, stabilising global trade but amplifying fiscal dominance through U.S. currency strength.
- Long-term debt cycles fuelled growth via borrowing, creating multi-decade booms/busts tied to central bank actions.
- Liquidity and business cycles fluctuated with market sentiment, often leading to volatility in industrial eras.
- Currency debasement acted as a hidden tax, paralleling ancient practices like coin clipping and eroding fiat trust.
- Fiat vs. hard assets highlighted vulnerabilities, with paper money backed by eroding confidence contrasting tangible stores like gold.
- GDP heuristic (demographics + productivity + debt) explained output in aging societies, borrowing against future gains.
- Wealth concentration funneled from land ownership in 1970s UK industrial models to early tech assets, widening inequality per Piketty patterns.
- Market psychology, driven by fear/greed, propelled cycles like dot-com bubbles.
- Demographics shaped investment flows, with population booms initially boosting but aging now straining productivity.
- Innovation cycles began with industrial surges, setting linear models reliant on wholesaler markups.
- Education as machinery prepped factory labor, optimizing for scarcity efficiency.
- Bitcoin/crypto arose in 2008 as fiat hedges, debating store-of-value roles amid volatility.
- Exponential productivity surges via AI slashing costs beyond industrial scales, empowering individual opportunities.
- Humanoid robots as “infinite demographics” counter declines, revolutionizing aging economies.
- Attention/AI evolves as capital, from physical land to human-AI focus as the future scarce resource.
- Economic singularity converges AI/crypto by 2040, dismantling linear models for zero-marginal-cost abundance.
- Future models like post-debt flywheels end scarcity by 2040, redefining growth.
- Tokenisation arbitrage unlocks illiquid assets (e.g., farmland royalties) into fractional tokens.
- Blockspace commoditises as digital scarcity, echoing internet booms.
- Tariffs/monetary policy interplay manages liquidity in indebted nations, easing yields.
- Democracy limited by gaps, contrasting ancient direct models with modern UK-style bureaucracies fuelling apathy.
- Iron law of oligarchy consolidated elites in institutions, distancing citizens.
- Geopolitics in liberal order post-WWII bundled alliances, now declining via tensions between states.
- Power bundling into states and bodies like IMF/UN enforced unified narratives.
- Fourth turning cycles marked upheavals, reshaping norms in generational crises.
- Elite distrust grew from representation voids, amplifying voter disengagement.
- Media shaped narratives via controlled outlets, later addictive algorithms hijacking health.
- Information asymmetry enabled propaganda, with AI exacerbating decay.
- Adversarial divisions fractured via digital feeds, polarizing societies.
- Direct democracy experiments via blockchain revive participation, countering alienation.
- Social cohesion via blockchain and network states allowing all participants a stake and a say in governance
- AI and digital twins managing information flows to and from humans for better outcomes and health
- Unbundling empowers networks, fostering grassroots alliances.
- Language craft in AI unlocks human agency amid echo chambers.
- Regulatory milestones like 2025 GENIUS/Clarity Acts standardise stablecoins for transparency.
- Limbic system drove primal urges in scarcity, linking survival to group bonds.
- Biological algorithms evolved for threats, with negative bias amplifying pessimism.
- System 1 intuitive vs. System 2 rational led to biases in decisions.
- Affect theory shaped responses via emotions, per Tomkins.
- Limbic code inescapable, clashing with tech per Harari insights.
- Chaos wiring adapted to uncertainty in ancient rituals.
- Market psychology (fear/greed) echoed in early cycle boom and busts.
- Myth/meaning anchored collectives via cultural narratives.
- Semiotics in advertising crafted desire from structuralist roots.
- Status symbols evolved from rituals to 1950s consumerism myths.
- Social media began siloing meaning, hijacking loops.
- Primal urges persist in abundance, steering token wealth.
- Identity/consumerism rewires to 2050 AI-curated personas amid individualism rise.
- Flexible mind rewiring overcomes fear/pride for resilience.
- Recombination remixes ideas in chaos for innovation.
- Consciousness/soul unlocked via AI explorations.
- AI algorithms mimic/nudge behaviour, preserving agency.
- Language craft navigates adversarial divides in feeds.
- Behavioural echoes in transitions, like greed in pivots.
- Dartmouth Conference (1956) coined “artificial intelligence,” laying conceptual foundations with early experiments like ELIZA (1966), intertwining compute with human-like simulation.
- Moore’s Law (1965) observed transistor density doubling every ~2 years, driving exponential compute growth from mainframes to microchips, enabling smaller/faster/cheaper tech that bottlenecked early infrastructure.
- Birth of the Internet via ARPANET (1969 first message, TCP/IP 1983 adoption) created packet-switched networks, evolving to WWW (1989-1991 by Berners-Lee) for global info access, foreshadowing decentralized ledgers.
- Metcalfe’s Law (1980s/1990s by Ethernet co-inventor) posited network value squares with users, amplifying connectivity’s impact and setting stage for social/economic booms.
- Development of mobile networks from 1G analog voice (1979 Japan) to 2G digital (1990s), culminating in smartphones (2007 iPhone), as proto-transhuman steps tethering humans to constant digital connectivity via internet/social apps.
- Cloud computing (e.g., AWS 2006) and big data tools (e.g., Hadoop 2006) scaled connectivity into massive processing, bridging to AI’s data-hungry era.
- Rise of social platforms as info infrastructure (1997 Six Degrees to 2004 Facebook), shifting from text-heavy silos to immersive feeds, hijacking attention while fragmenting narratives and enabling energy/compute demands.
- Blockchains in 2008 enabled trustless ledgers, but energy/compute bottlenecked; programmable money via smart contracts automated basics.
- Digital intelligence amplified biology/tech thought; blockspace paralleled hazy internet potential; composable contracts built modular apps.
- Stablecoins pegged for stability pre-regulation; quantum chips began boosting with early impacts; human-tech dark sides mirrored ethics in content.
- 5G networks (2019 rollout) and IoT (2010s traction) embedded intelligence in physical layers, extending mobile tethers to always-on ecosystems.
- AGI/ASI transcends limits, unlocking universal cognition by 2030, blending biology/machine in transhuman quests that redefine consciousness.
- Agentic AI pursues goals independently, transforming execution from human-dependent to self-optimizing, potentially preserving or eroding agency.
- Humanoid robots address shortfalls with versatile automation, acting as infinite labor in abundance economies.
- Digital intelligence as capital accelerates learning loops, empowering individuals amid exponential productivity.
- Intelligence revolution scales via cost efficiencies, compressing cycles that once spanned generations into years.
- Linear to exponential shifts explode like chessboard legend, catalysed by Moore/Metcalfe echoes in AI/crypto horizontals.
- Emerging horizontals (AI/crypto/media convergence) break silos for systemic value, fostering network states beyond borders.
- Token economies incentivize via proof of personhood, powering engagement markets in low-trust worlds.
- Digital self (twins/crypto) monetizes data, owning identities in peer economies while risking deeper surveillance.
- Leverage AI tools like Grok to explore one topic daily, such as blockchain’s role in decentralized governance, building on our prior discussions of technology’s shift to intelligent autonomy.
- Focus on curiosity and adaptability over static plans, supercharging feedback loops to master fields like token economies or behavioral economics, as we’ve noted in evaluations of self-directed growth amid obsolete education.
- Start small with iterative experimentation, using prompts to refine ideas in real-time, ensuring antifragile skills that counter job market disruptions referenced in our framework arcs.
- Journal triggers from addictive feeds or impulsive trades, drawing from our earlier insights on limbic biases and System 1 vs. System 2 thinking in the human behaviour pillar.
- Prompt AI to analyze decision patterns, restoring clarity by prioritizing questions and a personal “why” over devalued memorized knowledge, as discussed in reclaiming agency from tech hijacks.
- Turn primal urges into strengths through ethical navigation and bias detection, navigating adversarial divides in polarized environments per our reviews of behavioural echoes.
- Dedicate 15 minutes daily to inward richness, like journaling personal myths or sketching ideas, echoing our conversations on myth/meaning and recombination in chaos wiring.
- Collaborate with AI on small projects for joy, not external validation, amplifying human potential while countering attention economies that extract meaning, as highlighted in prior mental health analyses.
- Capture moments inspired by photography’s emotive power, fostering resilience and belonging through accretive acts that build on ancient rituals amid modern scarcity struggles.
- Join or start small groups—online forums, local meetups, or blockchain-based networks—aligned with values, leveraging our framework’s governance shift to decentralization and social cohesion.
- Engage in discussions or open-source crypto projects to rebuild belonging, as we’ve explored in direct democracy experiments and network states countering elite distrust.
- Use behavioural insights and technology’s connectivity to create supportive stakes, scaling shared agency from today’s isolation to collaborative opportunities, per our earlier community-building evaluations.
- Launch low-risk side hustles like freelancing or tokenized services, using AI tools (e.g., Replit) for automation, building on our talks of economic singularity and opportunity creation over compliance.
- Prioritise prompt crafting for business clarity and time management as a meta-skill, testing one idea weekly to build anti-fragile income amid AI-driven displacements noted in 2025 trends.
- Tie curiosity to personal purpose, amplifying human nuance ethically, as discussed in transitioning from scarcity paradigms to abundance flywheels in our framework development.