Not Financial Advice — The model portfolios shown here reflect the author's personal assessment and serve to illustrate the strategies described in the book. They do not constitute a solicitation to buy or sell financial instruments. Every investment decision is your own responsibility. Consult a licensed financial advisor.
This area is exclusive to readers of The AI Species. You'll find the access code in the book.
Wrong code. Hint: You'll find the code in the book.
Welcome to the companion area of The AI Species. Here you’ll find the three model portfolios from Chapter 17 — from conservative to aggressive. Choose the variant that matches your risk profile and follow the development.
This area is updated regularly — the book doesn’t end on the last page.
Portfolio Performance Since Launch
Conservative Balanced Aggressive MSCI World
The percentages work for any capital amount — the ranges are guidelines.
Safe Side (70%) Asymmetric (30%)
Scenarios (3–5 years)
Worst Case-25%Safe side: −15 to −20%, Asymmetric: −50 to −70%
Realistic+50%Safe side: +30 to +50%, Asymmetric: +80 to +150%
Layer 1 for machine economy. DePIN for machine-to-machine payments.
Buy via: Gate.io, decentralized exchanges
Crypto tax rules apply
—Robotik-DAOs1.5%Not publicly traded
Decentralized robotics projects. Early stage but potentially transformative.
Buy via: Decentralized exchanges
—BCI-nahe Firmen1%Not publicly traded
Brain-computer interface startups. Neuralink ecosystem and competitors. Highly speculative.
Buy via: Angel investments, venture platforms
📡
News Pulse
🟢
80/100
2026-06-13🟢
80/100
3 Events
Today's Convergence Pulse shows strong bullish sentiment with 3 bullish signals, 0 bearish, and 0 neutral, averaging 75 for bullish and 45 for bearish. Key drivers include the synergy of AI and blockchain shaping D-Wave's growth, alongside a significant shift by big banks towards building tokenized cash networks on public blockchain infrastructure. The emerging AI price war, while creating pressure, also highlights the sector's rapid evolution and increased accessibility.
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Are AI and Blockchain Shaping D-Wave's Next Growth Phase?
convergence🐂 75 · 🐻 40🔗 TradingView📖 Chapter 7: The Machine Economy – Convergence of Megatrends
D-Wave Quantum, known for optimization solutions, is expanding its focus. The company is increasingly exploring artificial intelligence (AI) and blockchain as new application areas and growth drivers. This indicates a strategic integration of these key technologies.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
D-Wave, a foundational leader in optimization, is explicitly pursuing AI and Blockchain as core growth drivers, providing strong validation for the Convergence Thesis. This strategic integration of machine intelligence (AI) with decentralized trust mechanisms (Blockchain) by a quantum pioneer is a pivotal step towards building the fully autonomous Machine Economy.
🐻 Bear (40):
D-Wave's expansion into AI and Blockchain appears more like a strategic attempt to tap into current market trends and broaden its business model, rather than demonstrating an organic, profound technological convergence. There's a significant risk of diverting resources into areas where D-Wave lacks a clear quantum-based unique selling proposition, potentially delaying core business development and leading to superficial integrations with little real added value.
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Big banks are ditching private blockchains to build tokenized cash networks on public infrastructure
crypto🐂 75 · 🐻 40🔗 CoinDesk📖 Chapter 5: Crypto as the Foundation
Digital asset bank Sygnum reports that institutional clients increasingly desire interoperable tokenized cash instruments operating on a single platform. This trend is leading big banks to abandon private blockchains in favor of building tokenized cash networks on public infrastructure. This move signals a growing acceptance and maturation of crypto infrastructure in the financial sector.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
This move by major banks towards public, interoperable blockchains for tokenized cash is a critical advancement for the crypto pillar of the Convergence Thesis. Such an open financial infrastructure establishes the necessary foundation for autonomous transactions by AI and robots, which will form the backbone of a future machine economy.
🐻 Bear (40):
The move from private blockchains to 'public infrastructure' is merely a tactical shift to cut costs and enhance interoperability. Banks will simply overlay their existing control and regulatory layers onto these 'public' rails, resulting in a centralized, permissioned system that fundamentally contradicts the crypto ethos of decentralization.
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The AI Price War Is Here, Piling Pressure on OpenAI and Anthropic
Startups and tech giants are increasingly mixing and matching various AI models to avoid the premium prices charged by industry leaders. This developing price war in the AI sector is putting significant pressure on companies like OpenAI and Anthropic. The dynamic indicates market maturation and a stronger focus on cost-efficiency in using AI models.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
The AI price war is a crucial step towards democratizing and standardizing AI capabilities. As AI models become more affordable and modular, they can be more widely integrated into robotics, powering the physical agents of the machine economy. This development fosters the scalability and cost-efficiency essential for an autonomous economic system built on crypto, accelerating the convergence.
🐻 Bear (55):
This price war highlights the market's rejection of single, premium model dominance. Instead of converging on expensive 'one-size-fits-all' solutions, users prioritize flexible combinations and cost-efficient alternatives, undermining the perceived value of the most expensive models. This drives fragmentation and a race to the bottom on pricing, rather than a convergence towards a few costly monopolists.
2026-06-12🟢
81/100
3 Events
Today's Convergence Pulse shows a strong bullish trend with 2 bullish, 0 bearish, and 1 neutral signal, averaging 83 for bullish indicators. This positive sentiment is fueled by Mastercard's 'Agent Pay for Machines' enabling autonomous AI transactions with stablecoins, predictions of a $5 trillion AI customer experience market boosting stablecoin demand, and Helix launching with $10B+ to build AI infrastructure.
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Mastercard unveils Agent Pay for Machines to support autonomous AI transactions, including stablecoins
convergence🐂 90 · 🐻 40🔗 The Block📖 Chapter 7: The Machine Economy
Mastercard has unveiled a new payment infrastructure called 'Agent Pay for Machines', designed specifically for AI agents. This platform aims to support autonomous transactions and explicitly includes stablecoins. Over 30 fintech, legacy finance, and crypto firms are involved in this initiative.
🐂 Bull · 🐻 Bear
🐂 Bull (90):
Mastercard's 'Agent Pay for Machines' is a monumental step, directly integrating the convergence of AI and crypto into mainstream finance. By creating infrastructure for autonomous AI transactions leveraging stablecoins, the vision of a machine economy where intelligent agents operate seamlessly becomes a tangible reality. This is undeniable proof that our thesis is not only true but is already being massively implemented by global players.
🐻 Bear (40):
Mastercard's 'Agent Pay for Machines' is not convergence in the sense of a genuine merging of equals, but rather a strategic co-option of emerging technologies by established financial players. This proprietary infrastructure highlights an attempt to centralize control over autonomous transactions and funnel the potential of decentralized innovations into a controlled ecosystem.
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Netomi CEO says $5 trillion AI customer experience market could boost stablecoin demand
Netomi CEO Puneet Mehta predicts that the rapid expansion of AI enterprise software will increase demand for stablecoins. He suggests that the $5 trillion AI customer experience market could boost the utilization of stablecoins. This indicates a growing integration between AI and cryptocurrencies within the financial sector.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
This development signifies a direct financial integration of Artificial Intelligence and cryptocurrencies within the massive AI customer retention market. It confirms our thesis that AI systems will increasingly utilize stablecoins as the primary currency for transactions, thereby laying the foundations for an autonomous machine economy.
🐻 Bear (40):
The prediction prematurely links AI-driven customer retention with stablecoins. AI's primary value in this sector lies in data analysis and personalization, for which established fiat systems often provide more efficient and compliant payment solutions. The leap to stablecoins as a necessary driver is an unproven assertion, ignoring significant technological and regulatory hurdles.
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Helix launches with $10B+ in funding to build AI infrastructure
infrastructure🐂 85 · 🐻 75🔗 SiliconANGLE📖 Chapter 6: The New Infrastructure
An investor consortium has launched a new venture named Helix Digital Infrastructure Inc. The company is starting with over $10 billion in funding to build artificial intelligence data centers for hyperscaler cloud providers. This highlights the massive investments required for the foundational infrastructure supporting AI development.
🐂 Bull · 🐻 Bear
🐂 Bull (85):
This massive investment of over $10 billion into AI infrastructure is a colossal validation for the core of our Convergence Thesis, providing the fundamental intelligence for the future machine economy. These data centers are the brain enabling advanced AI, which will, in turn, drive autonomous robotics and define interaction with decentralized crypto systems. It is the indispensable building block for the emergence of a fully autonomous machine economy.
🐻 Bear (75):
The colossal $10 billion investment in specialized AI data centers for hyperscalers demonstrates that AI development isn't fostering convergence towards universal, efficient infrastructure. Instead, it demands greater fragmentation and increasingly massive, dedicated resources. This contradicts the notion that technological advancements lead to simplification and consolidation of the physical base, revealing an escalation in specialized infrastructure costs.
2026-06-11🟢
83/100
3 Events
Today's Convergence Pulse shows a strongly bullish market with 3 bullish signals and no bearish or neutral ones, averaging a significant bullish score of 78 against a bearish average of 45. This positive sentiment is driven by Tether's lead investment in NEURA Robotics, Waymo's acquisition of Apple's self-driving car proving ground, and the favorable aspects of Apple's new Siri AI.
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Tether expands robotics push with lead role in NEURA's $1B-plus funding round
Tether is leading a funding round of up to $1.4 billion for German tech company NEURA Robotics. This move deepens the stablecoin issuer's push into artificial intelligence and robotics. It signifies a concrete financial investment connecting the crypto and robotics/AI sectors.
🐂 Bull · 🐻 Bear
🐂 Bull (85):
Tether's massive $1.4 billion investment in NEURA Robotics is a monumental bridge, directly linking crypto capital with the physical advancement of AI and robotics. This is undeniable proof that the financial power of the crypto economy is fueling the development of intelligent machines, thus setting the stage for a future machine-driven economy. It's the direct convergence we've predicted.
🐻 Bear (40):
Tether's investment primarily represents a financial diversification of excess crypto capital into another promising sector. This is a capital investment, not an inherent technological integration or synergy between stablecoin mechanisms and robotics that would support the fundamental assumptions of the Convergence Thesis. It highlights that alleged 'connections' often occur only at the superficial level of financial transfer, without deep operational or technical fusion.
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Waymo buys Apple’s abandoned self-driving car proving ground for $220M
robotics🐂 75 · 🐻 40🔗 Electrek📖 Chapter 4: The Rise of Robots
Waymo has acquired a significant 5,500-acre autonomous vehicle proving ground in Arizona for $220 million. This acquisition, which cost nearly double what Apple initially paid, indicates a major investment in the infrastructure for developing and testing self-driving technology. It reinforces the ongoing commitment to advancing autonomous driving capabilities.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
This colossal investment by Waymo in a state-of-the-art proving ground is a clear signal of the rapid growth and serious scaling of the AI and Robotics component of our Convergence Thesis. It accelerates the evolution towards a comprehensive machine economy where autonomous systems will drive production and logistics, ultimately necessitating a seamless crypto-based infrastructure for their operation. Such a foundation is essential for further convergence.
🐻 Bear (40):
This event reveals the highly capital-intensive and fragmented path to autonomous vehicles, contrary to assumptions of rapid convergence. Waymo's massive acquisition underscores the continued need for expensive, proprietary physical infrastructure for development and testing, rather than a reliance on efficient, converged solutions. The doubled price further highlights increasing market barriers, not simplification.
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Apple's Siri AI is both cool and 2 years too late
ai🐂 75 · 🐻 55🔗 Axios📖 Chapter 3: The AI Revolution
The article notes that Apple's Siri AI is entering a market where OpenAI and Anthropic have already established a strong presence. These companies have been actively promoting their agentic AI tools for both developers and office workers. This highlights the ongoing competition and development in the field of intelligent AI agents.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
The aggressive competitive landscape for agentic AI tools, even with Apple's late entry, underscores the explosive development of autonomous intelligent agents. These agents are the indispensable engine for the machine economy, driving the convergence of AI and robotics, and thus creating the need for decentralized, crypto-based transaction systems for autonomous actors. Apple's delay merely highlights the speed of this machine economy train and the urgency of participation.
🐻 Bear (55):
Apple's two-year delay with Siri AI and the established, aggressive market strategies of OpenAI and Anthropic contradict the notion of automatic convergence. Instead, they demonstrate that first-mover advantage and rapid ecosystem building create significant entry barriers. This prevents a leveling of the playing field and leads to sustained divergence as established players solidify their lead.
2026-06-10🟢
83/100
3 Events
Today's Convergence Pulse is strongly bullish, reporting 3 positive signals with an average bull score of 75. Key drivers include competitive interest from Visa, Mastercard, and Coinbase in AI agent payments, a 589% surge in tokenized Real-World Assets, and Anthropic's release of its powerful Claude Fable 5 AI model.
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Visa, Mastercard And Coinbase Are Fighting Over How AI Agents Pay
AI agents settle payments via two main rails: tokenized cards from Visa and Mastercard, or Coinbase's x402 stablecoin protocol. Visa currently settles $7 billion in stablecoins, highlighting the emerging competition over how autonomous AI systems will conduct financial transactions. This conflict underscores the direct convergence between traditional finance, crypto, and automation via AI agents.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
This conflict perfectly illustrates how traditional finance (Visa/Mastercard) and the crypto world (Coinbase) are directly vying to settle transactions for autonomous AI agents. It confirms the thesis by establishing AI agents as primary economic actors, navigating seamlessly between established and decentralized payment infrastructures, thereby underscoring the emergence of a machine economy.
🐻 Bear (40):
The very 'battle' between Visa/Mastercard and Coinbase over AI agent payments, utilizing two *distinct* payment rails (tokenized cards versus a stablecoin protocol), contradicts the notion of seamless convergence. Instead of an organic merger of technologies, we are witnessing a competition for dominance that maintains separate infrastructures and competing business models, highlighting the friction points within 'convergence'.
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Tokenized Real-World Assets Surge 589% as Crypto Falls — Binance Research Calls 2026 RWA's Maturation Year
Tokenized real-world assets (RWAs) have become one of the clearest bright spots in an otherwise troubled crypto market. Active tokenized RWAs have surged by an impressive 589%. Binance Research projects 2026 as the maturation year for RWAs, highlighting their growing importance and adoption as a pillar of crypto infrastructure.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
The massive surge in tokenized real-world assets proves that crypto infrastructure is actively integrating the physical world. This lays the essential groundwork for a machine economy where AI and robotics can seamlessly manage, own, and trade real-world assets on the blockchain – a critical step towards convergence.
🐻 Bear (40):
The rise of tokenized real-world assets while the broader crypto market falls exposes a core weakness of the Convergence Thesis: this is not a merger of equals, but rather the selective adoption of blockchain technology by traditional finance. It suggests that 'convergence' primarily means integrating DLT as an efficient infrastructure tool for existing, centralized assets, thereby gutting crypto's original decentralized ethos rather than embracing it.
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Anthropic brings Mythos to the masses with Claude Fable 5, its most powerful generally available model ever
ai🐂 75 · 🐻 45🔗 VentureBeat📖 Chapter 3: The AI Revolution
Anthropic has launched Claude Fable 5, a Mythos-class model made safe for general use, touted as its most powerful generally available model ever. Fable 5 and Mythos 5 are priced at $10 per million input tokens and $50 per million output tokens, which is less than half the cost of competitors, fostering greater accessibility and adoption of these advanced AI models.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
The introduction of Claude Fable 5 at extremely competitive prices democratizes access to advanced AI for the masses. This is a crucial accelerator for the Convergence Thesis, as powerful, accessible AI fuels the development of intelligent robotics and autonomous agents, which will form the backbone of a crypto-powered machine economy. The democratization of this technology directly catalyzes the merging of all three pillars.
🐻 Bear (45):
Anthropic's aggressive pricing for Fable 5, set at less than half of its competitors, contradicts the notion of market consolidation or price stability at a high level. Instead, it demonstrates intense competition and active fragmentation, where companies aim to gain market share through cost-efficiency and accessibility. The convergence thesis underestimates the ongoing market dynamics and the ability of players to create a direct counter-trend through disruptive pricing models.
2026-06-09🟢
85/100
3 Events
Today's Convergence Pulse is strongly bullish, featuring three positive signals and no bearish or neutral ones, with an average bullish score of 75. Key developments include Microsoft's AI chief aiming to establish the company as a top AI lab and US lawmakers proposing a bill to prevent fragmented state-level AI regulations. Research also clarified crypto's limited utility in solving AI's trust and payment issues.
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Microsoft AI chief Mustafa Suleyman says there are three labs that matter — and he wants Microsoft to be the fourth.
ai🐂 75 · 🐻 40🔗 The Verge📖 Chapter 3: The AI Revolution
At Microsoft's annual Build conference, a slew of expanded AI initiatives were announced. Microsoft is positioning itself as a major competitor in AI for the first time. Mustafa Suleyman, Microsoft's AI chief, expresses the ambition for Microsoft to join the ranks of leading AI development labs.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
Microsoft's aggressive push, led by Mustafa Suleyman, to become one of the leading AI labs is a clear signal of the accelerated development of highly intelligent systems. This massive investment in AI lays the crucial foundation for the next generation of autonomous agents and robotics, which will inevitably drive the need for decentralized crypto systems for a machine-based economy.
🐻 Bear (40):
Microsoft's aggressive positioning as a *new* major player and its ambition to join the top labs refute the notion of an already stable, converged elite in AI. Instead of homogenization or static consolidation, this demonstrates a dynamic and highly competitive market where even established tech giants are still vying for leadership, and new major players can emerge.
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US House lawmakers release draft bill to prohibit state AI rules
macro🐂 75 · 🐻 40🔗 Reuters📖 Chapter 3: The AI Revolution, Chapter 10: Governance and Ethics of Convergence
A bipartisan pair of U.S. House lawmakers released draft legislation that would prohibit states from regulating the development of artificial intelligence. This aims to create a unified national AI regulatory framework and potentially standardize AI development across the country.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
Unifying AI regulation at the national level removes regulatory hurdles, significantly accelerating the development and widespread deployment of AI and robotics across the U.S. This creates a coherent national infrastructure, crucial for the rapid emergence of a comprehensive machine economy where crypto assets will serve as the indispensable transactional backbone for autonomous systems.
🐻 Bear (40):
This proposed legislation contradicts the premise of natural regulatory convergence. The very need to proactively *prohibit* states from regulating demonstrates that, left to their own devices, individual states would likely develop divergent approaches, thereby undermining the idea of spontaneous harmonization and instead revealing forced uniformity.
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Crypto has 'limited utility' in solving AI's trust and payment issues, IC3 researchers say
convergence🐂 75 · 🐻 40🔗 The Block📖 Chapter 1: The Convergence Thesis
A study aims to clarify misconceptions regarding the intersection of AI and crypto. Researchers outline the limited role blockchain technology can play in empowering AI, particularly concerning trust and payment issues. This suggests that the synergies between the two fields might not be as extensive as often assumed.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
This study refines our understanding of convergence by identifying the specific niches where blockchain most effectively complements AI. Clarifying misconceptions is crucial for building a robust machine economy, as it directs developers toward true synergies, enabling more targeted and stronger integration. Limited but precise utility is far more valuable than vague assumptions, accelerating the practical realization of the thesis.
🐻 Bear (40):
This study validates our long-held concerns that the proclaimed extensive synergies between AI and crypto, especially in critical areas like trust and payments, are vastly overstated. Reality demonstrates that blockchain technology offers only marginal utility here, thus undermining the 'Convergence Thesis'.
2026-06-08🟢
72/100
2 Events
Today's Convergence Pulse indicates a bullish tilt with one bullish and one neutral signal, averaging 75 for bull and 52 for bear. A significant bullish driver is the NVIDIA and Doosan Group collaboration to advance physical AI and AI factory infrastructure (Delta: 35). Alphabet's plan to raise $80 billion through stock sales to fund its AI build-out is a neutral signal (Delta: 10).
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NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure
NVIDIA and Doosan Group have announced a collaboration to advance physical AI and AI factory infrastructure. The companies will explore robotics, AI factory power solutions, and advanced electronics materials for next-generation data center systems. This signifies a profound convergence of AI, robotics, and the necessary infrastructure.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
This collaboration merges NVIDIA's leading AI technology with Doosan's strength in robotics and industrial infrastructure. It propels the development of physical AI and the establishment of AI factories, which are essential building blocks for the emergence of a fully automated machine economy.
🐻 Bear (40):
This partnership exposes convergence not as an organic evolution, but as a highly orchestrated, complex, and resource-intensive project between specialized giants. Such specific endeavors highlight the immense technical and organizational hurdles, rather than proving effortless, widespread integration.
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Alphabet plans to raise $80 billion from stock sales to fund AI build-out
Alphabet announced plans to raise $80 billion through stock sales. This significant capital raise is intended to fund the further expansion of its AI capabilities. A substantial portion of this includes a $10 billion investment from Berkshire Hathaway.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
Alphabet's colossal $80 billion capital raise, including Berkshire Hathaway's investment, is an undeniable signal: investment in Artificial Intelligence is scaling exponentially. These massive funds will accelerate the development of sophisticated AI systems, serving as the brain of the future robot economy and forming the necessary infrastructure for convergence with crypto networks.
🐻 Bear (65):
Alphabet's massive $80 billion capital raise highlights the extremely high barriers to entry and the concentration of power in AI development. This contradicts the notion of AI resource convergence or democratization, as only a select few tech giants can muster such astronomical sums, further solidifying their dominance. Instead of widespread access, we are witnessing a centralization of critical infrastructure and research among established players.
2026-06-07🟢
85/100
2 Events
Today's Convergence Pulse shows a distinctly bullish outlook with two positive signals and none bearish or neutral, marked by an average bull score of 75 versus a bear score of 40. Significant bullish contributors include Symbiotic's new liquidity network, enhancing liquidity for tokenized assets, and a positive perspective on the evolving discussion around autonomous vehicles, both adding a Delta of 35.
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Symbiotic aims to make tokenized assets easier to cash out with new liquidity network
crypto🐂 75 · 🐻 40🔗 CoinDesk📖 Chapter 5: The Emergence of the Machine Economy
Symbiotic is launching Liquid Lane, a new liquidity network, to resolve a key bottleneck hindering the growth of tokenized funds and credit: long redemption times. The network aims to make tokenized assets easier to cash out. This move is crucial for driving broader adoption of tokenized Real World Assets (RWAs).
🐂 Bull · 🐻 Bear
🐂 Bull (75):
Symbiotic's Liquid Lane is a crucial step towards overcoming liquidity bottlenecks for tokenized RWAs. Faster and easier payouts are fundamental for scaling the Machine Economy, as they enable AI and robotic systems to hold, trade, and reallocate assets more efficiently. This strengthens the financial bridge between the physical and digital worlds, accelerating the convergence towards full machine autonomy.
🐻 Bear (40):
The necessity for an external liquidity network like 'Liquid Lane' proves that tokenization alone doesn't magically resolve the inherent illiquidity of many Real World Assets. Instead of a fundamental improvement, it requires another complex system to mask a core problem of traditional finance, thereby questioning the purported efficiency and 'advantage' of convergence.
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Autonomous vehicles were supposed to cut traffic—what if they don’t?
robotics🐂 75 · 🐻 40🔗 Ars Technica📖 Chapter 4: The Rise of the Robots
Data indicates that Waymo's robotaxis operate empty for almost half of the miles they drive. This raises questions about whether autonomous vehicles will truly reduce traffic congestion as initially anticipated. Their current usage efficiency suggests that promises of alleviating traffic might not be met.
🐂 Bull · 🐻 Bear
🐂 Bull (75):
This observation highlights the early stage of the machine economy, where AI and robotics are already delivering physical services. However, the empty miles demonstrate that without a fully integrated crypto layer for dynamic coordination and economic optimization of these autonomous agents, the true efficiency gains of convergence cannot yet be realized. This proves the necessity of all three pillars for a truly efficient future machine economy.
🐻 Bear (40):
The high percentage of empty miles driven by Waymo's robotaxis directly contradicts the promise that autonomous vehicles will significantly reduce traffic congestion. If nearly half of all miles are driven without passengers, these vehicles essentially add to traffic rather than alleviating it, potentially worsening urban congestion. This fundamentally undermines a core efficiency benefit often attributed to autonomous mobility solutions.
The News Pulse analyzes current news through the lens of the book's thesis (AI + Robotics + Crypto = Machine Economy). This is not investment advice.
Changelog
2026-03-17Initial model portfolio setup based on book publication (March 2026).