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Tomorrowland: You are a sophisticated analyst specializing in the implications of Al for the economy and markets

I am asking you for a report of no more than 3,000 words with deep analysis of which global sectors are likely to be most and least disrupted by Artificial Intelligence.

The following report and images are the Gemini output from the prompt I entered…


Sectoral Disruption and Economic Resilience 2026 I read the Deutsche Bank report, then ran the prompt against the latest version of Google Gemini 3 Pro. I didn’t have all their criteria, so I entered the basic prompt they had utilized.

Dario Amodei — “We are near the end of the exponential”

Predicts significant advancements in AI capabilities within the next decade, which will have a profound impact on society, economy, and individuals, and emphasizes the need for careful governance, equitable distribution of benefits, and responsible development to mitigate risks and maximize benefits ## ## Questions to inspire discussion.

AI Scaling and Progress.

Q: What are the key factors driving AI progress according to the scaling hypothesis?

A: Compute, data quantity and quality, training duration, and objective functions that can scale massively drive AI progress, per Dario Amodei’s “Big Blob of Compute Hypothesis” from 2017.

Q: Why do AI models trained on broad data distributions perform better?

A: Models like GPT-2 generalize better when trained on wide variety of internet text rather than narrow datasets like fanfiction, leading to superior performance on diverse tasks.

Overtime with Bill Maher: Jonathan Haidt, Stephanie Ruhle, H.R. McMaster (HBO)

Artificial intelligence is rapidly advancing to the point where it may be able to write its own code, potentially leading to significant job displacement, societal problems, and concerns about unregulated use in areas like warfare.

## Questions to inspire discussion.

Career Adaptation.

🎯 Q: How should workers prepare for AI’s impact on employment? A: 20% of jobs including coders, medical, consulting, finance, and accounting roles will be affected in the next 5 years, requiring workers to actively learn and use large language models to enhance productivity or risk being left behind in the competitive landscape.

Economic Policy.

📊 Q: What systemic response is needed for AI-driven job displacement? A: Government planning is essential to manage massive economic transitions and job losses as AI’s exponential growth reaches a tipping point, extending beyond manufacturing into white-collar professions across multiple sectors.

How SpaceX and XAI Will Build Moonbase Alpha and Mass Drivers

SpaceX, in collaboration with xAI, plans to build a lunar base called Moonbase Alpha using advanced technologies such as mass drivers, solar power, and Starship, aiming to make human activity on the moon visible, affordable, and sustainable ##

## Questions to inspire discussion.

Launch Infrastructure Economics.

🚀 Q: What launch costs could SpaceX’s moon infrastructure achieve? A: Mature SpaceX moon operations could reduce costs to $10/kg to orbit and $50/kg to moon surface, enabling $5,000 moon trips for people under 100kg (comparable to expensive cruise pricing), as mentioned by Elon Musk.

⚡ Q: How could lunar mass drivers scale satellite deployment? A: Lunar mass drivers using magnetic rails at 5,600 mph could launch 10 billion tons of satellites annually with 2 terawatts of power, based on 2023 San Jose State study updating 1960s-70s mass driver literature.

Starship Capabilities.

Optimus Surgeons in 3 Years | MOONSHOTS

Optimus robots, with their rapidly advancing capabilities in AI and dexterity, are poised to revolutionize the field of surgery, potentially surpassing human surgeons in precision and accessibility within a few years and making traditional surgical expertise and even medical school obsolete.

## Questions to inspire discussion.

Healthcare Access & Economics.

🏥 Q: How will Optimus robots change healthcare costs and accessibility?

A: Optimus surgeon robots will operate at costs limited to capital expenditure and electricity, enabling deployment in rural villages and developing countries like Zimbabwe and throughout Africa, demonetizing and decentralizing access to medical care that will exceed what presidents currently receive.

Technology Timeline & Capabilities.

12 Emerging Innovative Technology Areas for Government Prioritization

By Chuck Brooks

#technology #government #security


By Chuck Brooks, president of Brooks Consulting International

The future of innovation in both government and industry will not be distinguished by singular breakthroughs, but rather by the convergence and meshing of a number of different new technologies. Going forward, industries, national security, economic competitiveness, privacy and almost every aspect of everyday life will all be reshaped as a result of this integrated ecosystem, which encompasses artificial intelligence, quantum computing, improved connectivity, space systems and other areas.

12 Emerging Innovative Technology Areas for Government Prioritization

Twelve crucial technical domains will help propel the federal government toward this convergent transformation.

The Frontier Labs War: Opus 4.6, GPT 5.3 Codex, and the SuperBowl Ads Debacle

Questions to inspire discussion AI Model Performance & Capabilities.

🤖 Q: How does Anthropic’s Opus 4.6 compare to GPT-5.2 in performance?

A: Opus 4.6 outperforms GPT-5.2 by 144 ELO points while handling 1M tokens, and is now in production with recursive self-improvement capabilities that allow it to rewrite its entire tech stack.

🔧 Q: What real-world task demonstrates Opus 4.6’s agent swarm capabilities?

A: An agent swarm created a C compiler in Rust for multiple architectures in weeks for **$20K, a task that would take humans decades, demonstrating AI’s ability to collapse timelines and costs.

🐛 Q: How effective is Opus 4.6 at finding security vulnerabilities?

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