UK-US King Charles:: AI Prosperity week . 

UNITED HUMANS WEEK 9/21/25 Intelligence Airport Mapping Game - we asked gtok for a map; we asked for choices beyond USA which clearly the whole world wants to earn ai trust with------------|--------|-----------------------------------------|------------------------------------------|-------------------------

**Taipei** | Asia (Taiwan) | AI-SEM | Semiconductor AI to San Francisco (TSMC-Nvidia chips for twins); hardware to Shenzhen (supply chain for edutourism); talent to Seoul (Asia-Pacific youth alliances). | Departed (Global chip leader; AI hardware dominance). | |

 **Mumbai** | Asia (India) | AI-URB | Urban AI to Delhi (traffic/public safety for uniting goa

ls); fintech to Singapore (Mumbai-Dubai flows); startups to Bengaluru (millennial edutourism votes). | Boarding (Rising fast; AI for security/traffic, top Indian after Bengaluru). | |

 **San Francisco** | North America (US) | AI-VEN | Venture AI to Beijing (OpenAI-Baidu data); talent to London (Hassabis partners exchanges); startups to Tel Aviv (global ethics summits). | Departed (Top global; 71% VC to AI in Q1 2025). | | **New York** | North America (US) | AI-FIN | Fintech AI to Zurich (Wall St-Swiss banking twins); media to Paris (EBU for trust media); jobs to Tokyo (1,835 AI firms). | Departed (High readiness; 911 AI jobs, public interest surge). | | 

**Dubai** | Middle East (UAE) | AI-SMR | Smart city AI to Riyadh (NEOM-Dubai synergies for abundance); cloud to Singapore (US firms building hubs); youth to Helsinki (sustainable tourism). | 

Departed (Top 5 global; AI for governance/renewables). | | **US TO 

**London** | Europe (UK) | AI-BIO | Biotech/research to Singapore (DeepMind-SEA talent/youth exchanges); Nvidia UK center to Paris (EBU AI media for education); Oxford-Cambridge to Toronto (Hassabis-inspired millennial programs). | Departed (Established; $6B AI funding, DeepMind biotech leadership). | | 

**Paris** | Europe (France) | AI-SOV | Sovereign LLMs to Helsinki (Nabu-Nebius cloud for digital twins); Mistral to Tel Aviv (EU-Israel ethics/youth forums); cultural AI to Seoul (multilingual edutourism). | Departed (Nabu operational; €1.5B ethical AI plan). | | 

**Berlin** | Europe (Germany) | AI-IND | Industrial robotics to Shenzhen (Siemens-Huawei JVs for abundance gateways); EU factories to Stockholm (green compute sharing); SME AI to Bangalore (youth apprenticeships). | Departed (10K+ Nvidia GPUs; manufacturing AI leader). 

| | **Helsinki** | Europe (Finland) | AI-GRN | Sustainable cloud to Luxembourg (Nebius-MeluXina for natural resource sims); Nordic ethics to Tokyo (Yle-NHK broadcasting for trust-building); renewables to Dubai (solar AI twins). | Boarding (60K GPUs by 2028; green AI pioneer). 

 

| | **Singapore** | Asia (SE Asia) | AI-HUB  Asean| Regional coordination to Kuala Lumpur (Nvidia JV for edutourism); ASEAN ethics to Paris (EU-ASEAN interoperability); talent to London (AI.SG-DeepMind youth exchanges). | Departed (S$150M initiative; SE Asia's ethical bridge).

| | **Hong Kong - World's Digital Twin Health AI Uni HKUST Huang -  Shrum,  Keju Jin; Li Ka Shing, BeingAI

| |  **Beijing** | Asia (China) | AI-SCL | Compute scale to San Francisco (Baidu-OpenAI data for global goals); labs to Tianjin/Shenzhen (US$16B pipeline); supply chain to Berlin (youth innovation summits). | Departed (66% startup funding AI-native; top deal concentration).

 | | **Seoul** | Asia (Korea) | AI-ROB | Robotics to Tokyo (Samsung-Sony deep learning); K-AI to Stockholm (EU-Korea FTA for millennial votes); hardware to Helsinki (LG renewables). | Departed (Leads ML/robotics; national governance AI). 

| | **Shenzhen** | Asia (China) | AI-MFG | Manufacturing to Berlin (Huawei-Siemens twins for abundance); US$5B center to Bangalore (hardware supply); Bay Area hub to Singapore (youth maker spaces). | Departed (Top AI startup after SF; industrial deep learning). 

| | **Tokyo** | Asia (Japan) | AI-ROB | Disaster AI to Copenhagen (earthquake sims/digital twins); Sony to Zurich (robotics ethics forums); talent to New York (8K+ AI jobs for global youth). | Departed (3rd in AI readiness; 8,398 AI job ads, sustainability push). 

| | **Riyadh** | Middle East (Saudi Arabia) | AI-ENE | Energy AI to Dubai (NEOM $100B initiative for natural abundance); sovereign compute to Singapore (oil-to-AI pivots); youth programs to London (Hassabis-inspired desert biotech). | Boarding (Fastest-growing; $100B AI fund, emerging hub). | | **Taipei** | Asia (Taiwan) | AI-SEM | Semiconductor AI to San Francisco (TSMC-Nvidia chips for twins); hardware to Shenzhen (supply chain for edutourism); talent to Seoul (Asia-Pacific youth alliances). | Departed (Global chip leader; AI hardware dominance). 

| | **Mumbai** | Asia (India) | AI-URB | Urban AI to Delhi (traffic/public safety for uniting goals); fintech to Singapore (Mumbai-Dubai flows); startups to Bengaluru (millennial edutourism votes). | Boarding (Rising fast; AI for security/traffic, top Indian after Bengaluru). | |

 **San Francisco** | North America (US) | AI-VEN | Venture AI to Beijing (OpenAI-Baidu data); talent to London (Hassabis partners exchanges); startups to Tel Aviv (global ethics summits). | Departed (Top global; 71% VC to AI in Q1 2025). | |

 **New York** | North America (US) | AI-FIN | Fintech AI to Zurich (Wall St-Swiss banking twins); media to Paris (EBU for trust media); jobs to Tokyo (1,835 AI firms). | Departed (High readiness; 911 AI jobs, public interest surge). | |

 **Dubai** | Middle East (UAE) | AI-SMR | Smart city AI to Riyadh (NEOM-Dubai synergies for abundance); cloud to Singapore (US firms building hubs); youth to Helsinki (sustainable tourism). | Departed (Top 5 global; AI for governance/renewables). | | **Bengaluru** | Asia (India) | AI-R&D | Data centers to Hyderabad (India's AI capital flows); startups to Shenzhen (R&D JVs); global hub to London (youth biotech programs). | Boarding (26th global; top Indian, fast-growing R&D). | | **Hangzhou** | Asia (China) | AI-ECOM | E-commerce AI to São Paulo (Alibaba-LatAm twins); DeepSeek birthplace to Beijing (model training); emerging to Singapore (youth innovation). | Boarding (Fastest-growing; LLM birthplace). | | **Stockholm** | Europe (Sweden) | AI-ETH | Ethics AI to Seoul (Nordic-Korea FTAs); green hubs to Berlin (EU factories); startups to Amsterdam (100+ AI firms). | Departed (Top EU for professionals; ethical innovation). | | **Amsterdam** | Europe (Netherlands) | AI-EVT | Event AI to Paris (World Summit AI for youth votes); hubs to Zurich (EU data pros); broadcasting to Helsinki (trust-building media). | Boarding (Global talent hub; 100+ startups). | | **Zurich** | Europe (Switzerland) | AI-CYBR | Cybersecurity AI to Tel Aviv (ETH Zurich-Israeli JVs); finance to New York (digital twins); pros to Berlin (top EU rankings). | Departed (Top EU for data science; strong research). | #### Division 2: Emerging AI Supercities (High-Growth Hubs, Next 25) These are "Division 2" risers—fast-scaling with 20-50% YoY AI investment growth, ideal for youth inspiration via accessible programs (e.g., Hassabis-style hackathons) and gateways to abundance (e.g., AI for agrifood/climate). | Destination (City) | Region | Flight Code (Unique Intelligence Focus) | Key Connections (Collaborations & Flows) | Status (2025 Maturity) | |--------------------|--------|-----------------------------------------|------------------------------------------|-------------------------| | **Delhi** | Asia (India) | AI-SEC | Public safety AI to Mumbai (traffic twins for urban goals); startups to Bengaluru (India rising); youth to Singapore (edutourism alliances). | Emerging (Rising in India; AI for security/traffic). | | **Chennai** | Asia (India) | AI-HEA | Healthcare AI to Hyderabad (TCS-Wipro hubs); data to São Paulo (global south flows); millennial programs to London. | Emerging (Top Indian riser; health/tech focus). | | **Kolkata** | Asia (India) | AI-AGR | Agrifood AI to Athens (EU-India climate twins); emerging to Hangzhou (e-com synergies); youth votes to Paris. | Emerging (Fast Indian growth; agrotech potential). | | **Hyderabad** | Asia (India) | AI-BIO | Biotech AI to Pune (India deep tech); pharma to Zurich (global R&D); Hassabis-inspired exchanges to London. | Emerging (19th global ecosystem; deep tech hub). | | **Pune** | Asia (India) | AI-AUT | Autonomous AI to Tokyo (auto JVs); startups to Bengaluru (talent flows); education to Stockholm (ethical training). | Emerging (Rising AI career hub; auto/innovation). | | **São Paulo** | Latin America (Brazil) | AI-FIN | Fintech AI to Hangzhou (fast-growing twins); LatAm to Singapore (global south bridges); youth to Dubai (abundance gateways). | Boarding (Fastest-growing global; fintech leader). | | **Tel Aviv** | Middle East (Israel) | AI-CYBR | Cybersecurity to Paris (EU-Israel forums); startups to San Francisco (venture flows); ethics to Stockholm (youth summits). | Departed (Strong startups; autonomous systems). | | **Kuala Lumpur** | Asia (SE Asia) | AI-DIG | Digital economy AI to Singapore (MyDIGITAL blueprint); $2B investments to Ho Chi Minh (SE Asia hubs); renewables to Helsinki. | Emerging (Digital hub; AI/blockchain focus). | | **Ho Chi Minh City** | Asia (SE Asia) | AI-FIN | Fintech AI to Jakarta (42% Vietnam funding); e-com to Bangkok (youth innovation); global to Mumbai (urban twins). | Emerging (3K+ startups; $10B valuation). | | **Jakarta** | Asia (SE Asia) | AI-ECOM | E-com AI to Bandung (creative tech flows); ride-sharing to Delhi (global south); edutourism to Singapore. | Emerging (Youthful digital hub; fintech/e-com). | | **Bangkok** | Asia (SE Asia) | AI-INN | Innovation AI to Penang (deep tech sector); government support to Kuala Lumpur; millennial votes to Tokyo. | Emerging (Growing deep tech; innovation leader). | | **Warsaw** | Europe (Poland) | AI-SOF | Software AI to Vilnius (EU fintech boom); $1B FDI to Berlin (data centers); youth to Amsterdam (events). | Boarding (Low unemployment; software hub). | | **Vilnius** | Europe (Lithuania) | AI-FIN | Fintech AI to Frankfurt (200+ firms); mid-sized EU riser to Stockholm (ethics); talent to Zurich. | Boarding (Top mid-sized; fintech boom). | | **Athens** | Europe (Greece) | AI-AGR | Agrifood AI to Bologna (EuroHPC factories); climate to Kolkata (natural abundance); startups to Paris. | Emerging (New AI factory; sector-specific growth). | | **Bologna** | Europe (Italy) | AI-MFG | Manufacturing AI to Stuttgart (IT4LIA services); cybersecurity to Tel Aviv; youth programs to London. | Emerging (EuroHPC AI factory; agrifood/cyber). | | **Stuttgart** | Europe (Germany) | AI-AUT | Auto AI to Tokyo (Mercedes robotics); EU factories to Berlin; education to Pune. | Boarding (Industrial extension; auto deep tech). | | **Madrid** | Europe (Spain) | AI-HEA | Health AI to Barcelona (EuroHPC synergies); LatAm flows to São Paulo; trust media to Paris. | Emerging (AI factory host; health focus). | | **Barcelona** | Europe (Spain) | AI-URB | Urban AI to Lisbon (startup vibes); events to Amsterdam; youth to Mumbai (traffic twins). | Boarding (Vibrant startups; urban innovation). | | **Lisbon** | Europe (Portugal) | AI-STR | Startup AI to Porto (rapid growth); Web Summit to Singapore; edutourism to Ho Chi Minh. | Emerging (Vibrant tech scene; AI startups). | | **Vienna** | Europe (Austria) | AI-RES | Research AI to Munich (new EuroHPC factory); ethics to Stockholm; talent to Zurich. | Emerging (AI factory; research hub). | | **Sofia** | Europe (Bulgaria) | AI-DAT | Data AI to Luxembourg (EuroHPC networks); emerging to Warsaw; youth to Helsinki (green). | Emerging (New factory; data potential). | | **Ljubljana** | Europe (Slovenia) | AI-ENV | Environmental AI to Athens (climate twins); EU hubs to Bologna; abundance gateways to Riyadh. | Emerging (AI factory; sustainability focus). | | **Tianjin** | Asia (China) | AI-LAB | National labs to Beijing (US$16B pipeline); compute to Hangzhou; youth to Seoul. | Boarding (Major research; planned investments). | | **Nanjing** | Asia (China) | AI-STR | Startup AI to Shenzhen (#36 global); deep tech to Hyderabad; innovation to Singapore. | Emerging (Notable ecosystem; rising hub). | | **Copenhagen** | Europe (Denmark) | AI-SUS | Sustainable AI to Tokyo (disaster response); top smart city to Helsinki; youth votes to Dubai. | Departed (Top 10 smart; green urban AI). | ### Why This Expansion and Youth Inspiration? - **Additions Rationale**: Incorporated your suggestions (Tokyo: robotics/disaster AI; Riyadh: energy abundance; Taipei: semis; Mumbai: urban) plus risers like Delhi/Chennai (Indian growth), São Paulo (LatAm fast-track), and EuroHPC hosts (e.g., Athens for agrifood). Div 2 emphasizes "underdogs" with 20-50% growth, perfect for millennial-led transformation. - **Intelligence Tourism Vision**: These cities could host "AI Gateways"—e.g., virtual tours of Riyadh's NEOM digital twins linking to natural abundance (desalination AI), or Tokyo-Mumbai youth summits on urban resilience. Inspired by Hassabis/Google partners, programs like DeepMind's global challenges could "vote" for ed reforms, building trust via open-source demos (e.g., AlphaFold for biotech abundance). This unites nations: Central cities (e.g., Warsaw's software roots) twin with digital ones (e.g., Helsinki's cloud) for shared goals like climate equity. - **Prosperity Angle**: With 40+ hubs, millennials could drive $3.6T biotech/AI markets by 2030, prioritizing deep data maps for natural resources—e.g., Athens-Kolkata agrifood links for food security. This map could be a "tourism app" prototype! If you'd like filters (e.g., Asia-only), more Div 2, or visuals (e.g., route animations), let me know.

Yahoo Mail: Search, Organize, Conquer

**Bengaluru** | Asia (India) | AI-R&D | Data centers to Hyderabad (India's AI capital flows); startups to Shenzhen (R&D JVs); global hub to London (youth biotech programs). | Boarding (26th global; top Indian, fast-growing R&D). | | 

**Hangzhou** | Asia (China) | AI-ECOM | E-commerce AI to São Paulo (Alibaba-LatAm twins); DeepSeek birthplace to Beijing (model training); emerging to Singapore (youth innovation). | Boarding (Fastest-growing; LLM birthplace). | | 

**Stockholm** | Europe (Sweden) | AI-ETH | Ethics AI to Seoul (Nordic-Korea FTAs); green hubs to Berlin (EU factories); startups to Amsterdam (100+ AI firms). | Departed (Top EU for professionals; ethical innovation). | |

 **Amsterdam** | Europe (Netherlands) | AI-EVT | Event AI to Paris (World Summit AI for youth votes); hubs to Zurich (EU data pros); broadcasting to Helsinki (trust-building media). | Boarding (Global talent hub; 100+ startups). | | 

**Zurich** | Europe (Switzerland) | AI-CYBR | Cybersecurity AI to Tel Aviv (ETH Zurich-Israeli JVs); finance to New York (digital twins); pros to Berlin (top EU rankings). | Departed (Top EU for data science; strong research).

Source LI 

Genie 3, Gemini 2.5 Pro, AlphaEarth, Aeneas—the list of shiny new models keeps growing. Throw in tools like Storybook, Kaggle Game Arena, Jules, AI Mode for Search in the UK and NotebookLM Video Overviews, and you begin to see why the company’s CEO, Demis Hassabis, recently joked, “Now you know why I don’t get much sleep, too busy pushing the frontier.”

Oh, and let’s not forget Gemma—the open model that’s already been downloaded over 200 million times. Google has even rolled out Gemma 3 270M, a compact version built for fine-tuning and running smoothly on devices. In other words, it’s small, fast and designed to be practical beyond the lab.

For most companies, that’s a year’s roadmap. For DeepMind, it was just a fortnight.

From Answers to Thinking

Most AI companies are busy training machines to spit out answers. DeepMind has a daring goal: building machines that can actually think.

In a recent podcast, Hassabis explained that DeepMind’s new line of work goes beyond matching patterns. Enter ‘Deep Think’, a system inspired by AlphaGo and AlphaZero. Instead of blurting out the first answer, the model pauses, reasons and plans. That makes a massive difference when the task is solving maths problems, writing code or tackling scientific puzzles.

As Hassabis put it, “Once you have thinking, you can do deep thinking or extremely deep thinking—and then have parallel planning.”

It sounds almost human. And that’s the point.

Building New Worlds

And then there’s Genie 3. Not your run-of-the-mill model, but one that understands how the physical world works. Solids, liquids, reflections—it can whip up entire environments from scratch.

DeepMind has already put it to work to create SIMA, an AI agent that can drop into video games and play like a human. That might sound like fun and games, but the real prize is endless training data for robotics and general intelligence.

In an exclusive interview with AIM, Deedy Das, a VC at Menlo Ventures, called Genie 3 “one of the coolest tech demos he’s ever seen in his life”. Now, coming from a guy who sees startups all day, that’s saying something.

The long-term play? An omni model—a single AI brain that does everything as well as today’s specialised models. Coding, science, gaming, reasoning—one stop shop.

Can Google Save Chrome?

DeepMind wasn’t the only one on a roll. Perplexity made its own splash with a jaw-dropping $34.5 billion bid for Google’s Chrome browser. Yes, you read that right.

The twist? Perplexity itself is valued at just $18 billion. Yet, the company told The Wall Street Journal that investors, including heavyweight investors, are ready to back the deal.

Meanwhile, while the browser wars play out, Parag Agrawal has quietly returned to the spotlight. Nearly three years after leaving Twitter, he’s launched a new AI startup, Parallel Web Systems, with $30 million in backing from Khosla Ventures, Index Ventures and First Round.

Parallel is building what could be AI’s first real browser, one where agents can fetch live data, check it, and even rate their own confidence. The kicker—its research APIs are already outpacing humans and GPT-5 on tough benchmarks.

Google, Don’t Ship Blog Posts

DeepMind’s pace is electric. But inside Google, the ride isn’t always smooth. Das argues that Google has a habit of announcing research without giving people much to play with. “Ship products, not words, if it’s not ready, ship nothing,” he said.

He’s equally blunt about Google’s slow decision-making and clunky user experiences. The Veo video model is his case in point—tucked away inside a product called Flow, buried under a pile of clicks.

However, when it comes to ambition, few labs come close. DeepMind now processes more than a quadrillion tokens every month. That’s a scale most rivals can only dream of.

The Benchmark Problem

When progress is this fast, it begs the question: how do you even keep score?

Most benchmarks test static tasks. DeepMind thinks that’s outdated. Its Game Arena pits AIs against evolving challenges, so they can’t just memorise answers. Hassabis also wants safety tests that catch behaviours like manipulation or deception. Because let’s face it, no one wants a clever liar for an AI.

So if Demis Hassabis looks a bit tired, it’s not caffeine withdrawal. It’s the weight of pushing AI into the unknown—one sleepless launch at a time.

If you found this newsletter helpful, share it with a friend, a colleague or that one person who still thinks DeepMind is falling behind.

If you haven’t subscribed to AIM Tv yet, now’s the perfect time. We break down the world of AI in real time, crisp, clear and always ahead of the curve.

While you are at it, here’s a quick look at some of the top stories of the week.

• Snowflake is expanding its AI capabilities by integrating enterprise data with AI tools, now used weekly by over 5,200 companies. In an AIM exclusive, VP of AI at the company, Dwarak Rajagopal, discusses tackling hallucination, governance, specialised models, Postgres integration and AI-powered workflows, positioning Snowflake as a key player in shaping the future of enterprise AI. Read more here.
• Voicing AI, founded in 2024 by former Microsoft investor Abhi Kumar, builds synthetic agents to handle customer interactions, already passing the Turing test in most cases. With backing from LTIMindtree and adoption by enterprises in India and abroad, the startup navigates crowded competition, PoC hurdles, and challenging economics to scale globally. Read the full story here.
• Despite the hype, AI agents have yet to show real impact on enterprise P&Ls. Mukesh Bansal argues that building production-grade agents requires a “McKinsey plus Infosys” model, combining strategy and large-scale execution. With few deployments beyond pilots, experts see full-stack approaches, infrastructure upgrades and consulting-led models as the path forward. Full story here.

Now, let’s explore some exciting collaborations and exclusive insights from the AIM ecosystem, brought to you with a unique twist outside our standard editorial content.

• AWS GenAI Loft Bengaluru brought together startups, developers and AWS experts for 10 days of workshops, hackathons and networking. Attendees explored Amazon Bedrock, Amazon Q and MCP through hands-on sessions, while startups shared how AWS powers their growth. The event blended technical depth, community spirit and practical skills for building enterprise-ready AI.
• Enterprise AI is entering the agentic era, moving from automation to intelligent, autonomous systems. Sigmoid is driving this shift by combining strong data foundations with AI agents that transform business processes. With real-world use cases across consumer goods, MedTech and manufacturing, it showcases how enterprises can scale impact, efficiency and growth.
• Hostinger Horizons just turned vibe coding into full-blown business-building, now letting anyone launch a complete e-commerce store in minutes, no code required. From product listings to payments, shipping and discounts, the AI handles it all while you stay in creative mode. And yes, AIM readers get an extra 10% off with code ‘AIMHOSTINGER’

India’s 100 Most Influential People in AI

AIM presents its annual compilation of the most influential leaders in AI in India for 2025, a carefully curated list of individuals who are helping shape the future of artificial intelligence in India. Check out the full list here.