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Category: economics
The Cost of Intelligence
It is awe-inspiring to reflect on the velocity of this generational shift. In an incredibly compressed timeline, AI has transitioned from a boardroom novelty into the underlying infrastructure of global enterprise labor.
We are living through a historic economic anomaly: even as raw capability scales exponentially, the unit cost of intelligence continues to plummet toward zero. The future of corporate margin expansion will not belong to those who consume the most compute, but to the strategic architects who best optimize this collapsing cost.
Yet, beneath this cognitive abundance lies a stark paradox. While token unit prices have plunged 99.7% over the last 24 months, actual enterprise AI invoices are soaring—with average budgets expanding from $1.2M to over $7M. This is the structural reality of moving from simple, episodic chatbots to multi-step, autonomous agentic workflows that incur heavy context taxes and recursive reasoning loops.
To help technology and financial leaders navigate this landscape, we just released our latest research and report: The Macroeconomics of the Hyperscale AI Market and the New Enterprise Frontier.
Stop projecting AI margins using outdated software frameworks. Read the full report at the link below to master the new rules of token economics. Let us know in the comments: Are your teams experiencing bill shock, or have you already cracked the code on dynamic model routing?
The macroeconomics of the hyperscale AI market and the new enterprise frontier.
Submit an Abstract — 2026 International Mars Society Convention
The 2026 International Mars Society Convention is now accepting abstract submissions for presentations covering all aspects of Mars exploration and settlement.
We welcome proposals across a wide range of topics, including science, engineering, technology development, human factors, public policy, economics, and other key areas shaping the future of the Red Planet.
This global gathering will bring together scientists, engineers, policymakers, industry leaders, and space advocates to share ideas, research, and strategies for advancing human exploration of Mars. Whether your work is technical, conceptual, or interdisciplinary, we encourage you to contribute to the conversation.
The Path to Robust deAGI | Ben Goertzel SCaLE 23x
The Path to Robust deAGI asks what it would take to build artificial general intelligence that is both powerful and structurally aligned with human flourishing—not just steered by after‑the‑fact safety patches. Ben Goertzel, CEO of SingularityNET and a founding member of the Artificial Superintelligence (ASI) Alliance, will outline how a decentralized, token‑coordinated ecosystem—combining ASI: Chain, Hyperon AGI, and community‑owned GPU clouds—can prevent AGI from being captured by any single corporation or state.
Goertzel will contrast centralized AGI roadmaps with a deAGI approach that bakes openness, diversity of values, and economic inclusion into the architecture itself, drawing on ideas like pluralistic training data, interoperable agent networks, and on‑chain governance of key system upgrades. He will also discuss technical milestones toward “robust” deAGI—modular cognitive architectures, decentralized marketplaces for AI services, and verification mechanisms that let communities audit and constrain AGI behavior—framing them as concrete steps toward an AGI that advances joy, growth, and choice for all rather than amplifying existing power imbalances.
Overview of Kwaai.
Kwaai is a registered 501©3 non-profit organization and open source AI research and development lab. Its mission is to democratize artificial intelligence by building open source Personal AI systems that prioritize user privacy, data ownership, and transparency. Kwaai operates as a volunteer-based initiative and invites technologists, researchers, policy experts, and community members to join its efforts.
What is Personal AI?
Kwaai’s vision of Personal AI is an assistant that users own and control. This AI:
Is trained on the user’s own data and experiences.
Runs locally on personal devices or on a peer to peer fabric, without requiring a SaaS subscription.
Stanford Economist: The AI Risk Almost Nobody Is Talking About | Erik Brynjolfsson
Stanford economist Erik Brynjolfsson explains why the greatest danger of artificial intelligence may not be mass unemployment itself, but the concentration of wealth, power, and decision-making in the hands of a small group of companies or individuals.
In this conversation, he discusses the “Turing Trap,” the disappearance and creation of jobs, universal basic income, the future of economic growth, and why businesses should use AI to amplify human abilities rather than simply replace workers. He also explains why AI could become more transformative than the Industrial Revolution, why its impact is still largely invisible in productivity statistics, and which human skills may become increasingly valuable.
00:00 – Introduction.
01:05 – Why companies focus on eliminating jobs.
03:41 – The Turing Trap.
06:51 – Which tasks and jobs should AI replace?
08:35 – Millions of jobs will disappear.
09:25 – Why stopping technological change will fail.
10:48 – Entrepreneurship, security and the jobs of the future.
12:41 – AI, universal basic income and concentrated power.
15:29 – Why AI should complement humans.
17:41 – An economy that no longer needs human consumers.
20:05 – Is the younger generation doomed?
22:38 – How AI could help less-experienced workers.
25:10 – The most valuable human skill in the AI era.
27:24 – Access to AI and the falling price of intelligence.
32:31 – Is the AI investment boom a bubble?
33:44 – Bigger than the Industrial Revolution.
34:36 – Why AI is not yet visible in productivity statistics.
39:29 – Could AI produce explosive economic growth?
41:51 – How Erik Brynjolfsson uses AI in his own work.
45:34 – Will AI replace economists and scientists?
49:53 – Is AI destroying the traditional learning process?
54:46 – Shared prosperity or unprecedented inequality?
56:27 – Could AI replace the free market?
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The Quantum Frontier: How Quantum Computing Is Reshaping Our Future
Quantum computing was once considered a distant scientific project that could revolutionize computing. That discussion has shifted drastically today. Quantum technologies have progressed beyond lab trials and theory. Emerging quantum capabilities include commercial quantum platforms, quantum networking projects, quantum sensor advancements, and powerful quantum processors.
Advances in recent years suggest we are entering the Quantum Frontier Era. National security, science, economic competitiveness, and cybersecurity will all feel the impact. The quantum age has begun. It’s started.
The World in 100 Years FULL EPISODE | Science Fiction Documentary
What will the world really look like in 100 years?
Forget flying cars, impossible megacities, and science-fiction fantasies. This documentary explores a realistic vision of life in the year 2,126 based on current trends in artificial intelligence, climate adaptation, biotechnology, energy, space exploration, economics, and human evolution.
How will cities change as the planet warms? What happens when AI becomes part of everyday life? Will humans live to 120 years? Will neural implants blur the line between biology and technology? Could Mars become a permanent home for thousands of people? And what happens to society when work, truth, privacy, and even human identity are redefined?
Travel one century into the future and discover a world that is both familiar and radically different from our own. A world shaped by the choices humanity is making right now.
From climate-engineered cities and fusion-powered civilizations to Martian settlements, artificial intelligence, genetic medicine, digital consciousness, and the search for life beyond Earth, this is a deep exploration of the most plausible future awaiting our species.
The future isn’t written.
Annual global migration has nearly tripled since 2000, reshaping where and how people move
Global migration has risen sharply from approximately 13 million people per year in 2000 to around 35 million people per year in 2023. This is according to a new dataset on human migration published in Nature by researchers from the London School of Economics and Political Science (LSE), IIASA and the University of Hong Kong.
This rise in migration outpaces global population growth, showing a true per capita increase in human mobility. The trend is contrary to previous research efforts to quantify global migration flows.
Using deep learning, the researchers built the first dataset of migration flows between all countries for the period 1990–2023, offering a far more detailed picture of global movement than traditional data, which is highly fragmented.