@prefix : . @prefix schema: . @prefix skos: . @prefix rdfs: . @prefix rdf: . @prefix owl: . @prefix prov: . @prefix xsd: . @prefix dbr: . # =================================================================== # ONTOLOGY # =================================================================== : a owl:Ontology ; schema:name "The Machine Was Never the Asset"@en ; schema:description "Analysis of how China's AI-efficiency gains (Moonshot AI's Kimi K3) undermine the scarcity assumption behind nearly $2 trillion of American frontier-model valuations, and of Britain's historical pattern of inventing technologies it fails to commercially capture."@en ; schema:identifier ; schema:hasPart :britishInventionsOntology, :aiCompanyOntology, :layoffOntology . :britishInventionsOntology rdfs:isDefinedBy : . :aiCompanyOntology rdfs:isDefinedBy : . :layoffOntology rdfs:isDefinedBy : . :aiCompanyOntology a owl:Ontology ; schema:name "Frontier AI Model Company Valuation Ontology"@en ; schema:description "Lightweight ontology modeling frontier AI laboratories as instances carrying valuation, run-rate revenue and valuation-to-revenue multiple attributes, to compare American and Chinese frontier-model pricing power."@en ; schema:identifier ; rdfs:isDefinedBy : . :FrontierAIModelCompany a rdfs:Class ; rdfs:label "Frontier AI Model Company"@en ; rdfs:comment "An organization developing and commercially deploying a frontier-class large language model, evaluated by market participants on valuation relative to run-rate revenue."@en ; rdfs:isDefinedBy :aiCompanyOntology . :hasValuationUSD a rdf:Property ; rdfs:label "has valuation (USD)"@en ; rdfs:domain :FrontierAIModelCompany ; rdfs:range xsd:string ; rdfs:isDefinedBy :aiCompanyOntology . :hasAnnualRecurringRevenueUSD a rdf:Property ; rdfs:label "has annual recurring / run-rate revenue (USD)"@en ; rdfs:domain :FrontierAIModelCompany ; rdfs:range xsd:string ; rdfs:isDefinedBy :aiCompanyOntology . :hasValuationToRevenueMultiple a rdf:Property ; rdfs:label "has valuation-to-revenue multiple"@en ; rdfs:domain :FrontierAIModelCompany ; rdfs:range xsd:string ; rdfs:isDefinedBy :aiCompanyOntology . :britishInventionsOntology a owl:Ontology ; schema:name "British Invention Value-Capture Ontology"@en ; schema:description "Lightweight ontology modeling historical British-originated inventions as instances carrying the year invented and the commercial outcome describing which country or company ultimately captured the resulting industry."@en ; schema:identifier ; rdfs:isDefinedBy : . :BritishInventionCase a rdfs:Class ; rdfs:label "British Invention Case"@en ; rdfs:comment "A technology or scientific breakthrough originated in Britain, paired with the outcome describing who ultimately captured the commercial value of the resulting industry."@en ; rdfs:isDefinedBy :britishInventionsOntology . :yearInvented a rdf:Property ; rdfs:label "year invented"@en ; rdfs:domain :BritishInventionCase ; rdfs:range xsd:gYear ; rdfs:isDefinedBy :britishInventionsOntology . :capturedValueOutcome a rdf:Property ; rdfs:label "captured value outcome"@en ; rdfs:domain :BritishInventionCase ; rdfs:range xsd:string ; rdfs:isDefinedBy :britishInventionsOntology . :layoffOntology a owl:Ontology ; schema:name "Tech AI Layoff Tracker Ontology"@en ; schema:description "Lightweight ontology modeling individual corporate layoff events reported alongside AI-attribution claims, to distinguish confirmed AI-driven automation from denied or unrelated cost-cutting."@en ; schema:identifier ; rdfs:isDefinedBy : . :TechLayoffEvent a rdfs:Class ; rdfs:label "Tech Layoff Event"@en ; rdfs:comment "A reported round of workforce reductions at a technology or technology-adjacent company, with an explicit record of whether the company attributed the cuts to AI."@en ; rdfs:isDefinedBy :layoffOntology . :hasRolesCut a rdf:Property ; rdfs:label "has roles cut"@en ; rdfs:domain :TechLayoffEvent ; rdfs:range xsd:integer ; rdfs:isDefinedBy :layoffOntology . :hasWorkforcePercentCut a rdf:Property ; rdfs:label "has workforce percent cut"@en ; rdfs:domain :TechLayoffEvent ; rdfs:range xsd:string ; rdfs:isDefinedBy :layoffOntology . :aiAttributionStatus a rdf:Property ; rdfs:label "AI attribution status"@en ; rdfs:domain :TechLayoffEvent ; rdfs:range xsd:string ; rdfs:isDefinedBy :layoffOntology . # =================================================================== # MAIN ARTICLE + PROVENANCE # =================================================================== :analysis a schema:Article ; schema:headline "The Machine Was Never the Asset"@en ; schema:name "The Machine Was Never the Asset"@en ; schema:abstract "China's efficiency gains, exemplified by Moonshot AI's Kimi K3, undercut the scarcity assumption behind almost $2 trillion of American frontier-model valuation, while Britain's strong AI application ecosystem risks repeating its historic pattern of inventing value that others capture."@en ; schema:author :davidRichards ; schema:publisher :sundaySignalSeries ; schema:datePublished "2026-08-09"^^xsd:date ; schema:url ; schema:mainEntityOfPage ; schema:isPartOf :sundaySignalSeries ; schema:about :aiFoundationModelIndustry, :marketScarcityThesis ; schema:hasPart :section1, :section2, :section3, :section4, :section5, :section6, :section7, :section8, :section9, :faqSection, :glossarySection, :howtoSection ; prov:wasGeneratedBy :kgGeneratorSkill . :sundaySignalSeries a schema:CreativeWorkSeries ; schema:name "The Sunday Signal"@en ; schema:hasPart :analysis . :kgGeneratorSkill a schema:SoftwareApplication ; schema:name "kg-generator skill"@en ; schema:url ; schema:description "Business & Market Analysis RDF-Turtle knowledge graph generation skill."@en . # =================================================================== # PEOPLE # =================================================================== :davidRichards a schema:Person ; schema:name "David Richards MBE"@en ; schema:jobTitle "Author, The Sunday Signal; Co-Founder, Yorkshire AI Labs"@en ; schema:url ; schema:identifier ; schema:worksFor :yorkshireAILabs ; owl:sameAs , , . :michaelKratsios a schema:Person ; schema:name "Michael Kratsios"@en ; schema:jobTitle "Director, White House Office of Science and Technology Policy"@en . :scottBessent a schema:Person ; schema:name "Scott Bessent"@en ; schema:jobTitle "US Treasury Secretary"@en . :jamesWise a schema:Person ; schema:name "James Wise"@en ; schema:jobTitle "Balderton; head of UK Sovereign AI Unit"@en ; schema:affiliation :balderton . :jeremyWacksman a schema:Person ; schema:name "Jeremy Wacksman"@en ; schema:jobTitle "Chief Executive, Zillow"@en ; schema:worksFor :zillow . :ryanMcInerney a schema:Person ; schema:name "Ryan McInerney"@en ; schema:jobTitle "Chief Executive, Visa"@en ; schema:worksFor :visa . :krutiPatelGoyal a schema:Person ; schema:name "Kruti Patel Goyal"@en ; schema:jobTitle "Chief Executive, Etsy"@en ; schema:worksFor :etsy . :andyChallenger a schema:Person ; schema:name "Andy Challenger"@en ; schema:jobTitle "Senior Vice President, Challenger, Gray & Christmas"@en . :tommyFlowers a schema:Person ; schema:name "Tommy Flowers"@en ; schema:description "British engineer who built Colossus, the world's first programmable electronic computer, largely at his own expense."@en . :cesarMilstein a schema:Person ; schema:name "César Milstein"@en . :georgesKohler a schema:Person ; schema:name "Georges Köhler"@en . :godfreyHounsfield a schema:Person ; schema:name "Godfrey Hounsfield"@en ; schema:description "Inventor of the CT scanner at EMI."@en . :georgeGray a schema:Person ; schema:name "George Gray"@en ; schema:description "Led the University of Hull team that produced room-temperature liquid crystals in 1972."@en . :donaldDavies a schema:Person ; schema:name "Donald Davies"@en ; schema:description "Invented packet switching at the National Physical Laboratory in 1965."@en . :frankWhittle a schema:Person ; schema:name "Frank Whittle"@en ; schema:description "Patented the turbojet engine, then let the patent lapse."@en . :mauriceWilkes a schema:Person ; schema:name "Maurice Wilkes"@en ; schema:description "Cambridge scientist who sketched EDSAC after attending the Moore School lectures at Philadelphia."@en . :ayushmaMaharjan a schema:Person ; schema:name "Ayushma Maharjan"@en . # =================================================================== # ORGANIZATIONS # =================================================================== dbr:Nvidia a schema:Organization ; schema:name "Nvidia"@en . dbr:Meta_Platforms a schema:Organization ; schema:name "Meta"@en . dbr:IBM a schema:Organization ; schema:name "IBM"@en . dbr:Dell a schema:Organization ; schema:name "Dell"@en . dbr:Google a schema:Organization ; schema:name "Google"@en . dbr:Microsoft a schema:Organization ; schema:name "Microsoft"@en . dbr:Alibaba_Group a schema:Organization ; schema:name "Alibaba"@en . dbr:Palantir_Technologies a schema:Organization ; schema:name "Palantir"@en . :nvidia owl:sameAs dbr:Nvidia . :openAI a schema:Organization, :FrontierAIModelCompany ; schema:name "OpenAI"@en ; schema:url ; schema:identifier ; :hasValuationUSD "$852 billion post-money (31 March 2026)" ; :hasAnnualRecurringRevenueUSD "~$24 billion annualised ($2 billion/month)" ; :hasValuationToRevenueMultiple "~35.5x" . :anthropic a schema:Organization, :FrontierAIModelCompany ; schema:name "Anthropic"@en ; schema:url ; schema:identifier ; :hasValuationUSD "$965 billion post-money (28 May 2026)" ; :hasAnnualRecurringRevenueUSD "$47 billion run-rate" ; :hasValuationToRevenueMultiple "~20.5x" . :moonshotAI a schema:Organization, :FrontierAIModelCompany ; schema:name "Moonshot AI"@en ; :hasValuationUSD "$35 billion (raised $3.5 billion); sounding out investors up to $50 billion pre-money" ; :hasAnnualRecurringRevenueUSD "~$300 million (June 2026), up from $100 million in March 2026" ; :hasValuationToRevenueMultiple "~117x at $35bn; ~167x at $50bn pre-money" . :deepSeek a schema:Organization ; schema:name "DeepSeek"@en ; schema:url . :miniMax a schema:Organization ; schema:name "MiniMax"@en . :zhipu a schema:Organization ; schema:name "Zhipu"@en ; schema:alternateName "Z.ai"@en ; schema:url . :huggingFace a schema:Organization ; schema:name "Hugging Face"@en ; schema:url . :mistral a schema:Organization ; schema:name "Mistral"@en ; schema:url . :wayve a schema:Organization ; schema:name "Wayve"@en ; schema:url . :elevenLabs a schema:Organization ; schema:name "ElevenLabs"@en ; schema:url . :bioCatch a schema:Organization ; schema:name "BioCatch"@en ; schema:description "Israeli AI fraud-detection firm acquired by Visa for $2.4 billion cash."@en . :nscale a schema:Organization ; schema:name "Nscale"@en ; schema:description "British company partnered with OpenAI and Nvidia on the paused Stargate UK proposal."@en . :britishBusinessBank a schema:Organization ; schema:name "British Business Bank"@en ; schema:url . :yorkshireAILabs a schema:Organization ; schema:name "Yorkshire AI Labs"@en . :balderton a schema:Organization ; schema:name "Balderton"@en . :visa a schema:Organization ; schema:name "Visa"@en ; schema:url . :zillow a schema:Organization ; schema:name "Zillow"@en ; schema:url . :etsy a schema:Organization ; schema:name "Etsy"@en ; schema:url . # =================================================================== # COUNTRIES # =================================================================== dbr:United_States a schema:Country ; schema:name "United States"@en ; schema:identifier "US" . dbr:China a schema:Country ; schema:name "China"@en ; schema:identifier "CN" . dbr:United_Kingdom a schema:Country ; schema:name "United Kingdom"@en ; schema:identifier "GB" . dbr:Singapore a schema:Country ; schema:name "Singapore"@en ; schema:identifier "SG" . dbr:South_Korea a schema:Country ; schema:name "South Korea"@en ; schema:identifier "KR" . dbr:Japan a schema:Country ; schema:name "Japan"@en ; schema:identifier "JP" . # =================================================================== # PRODUCTS / MODELS # =================================================================== :kimiK3 a schema:SoftwareApplication ; schema:name "Kimi K3"@en ; schema:creator :moonshotAI ; schema:description "Open-weight, 2.8-trillion-parameter Mixture-of-Experts model released 16 July 2026 with a one-million-token context window; the largest open-weight model yet released."@en ; schema:isPartOf :aiFoundationModelIndustry . :claudeFable5 a schema:SoftwareApplication ; schema:name "Claude Fable 5"@en ; schema:creator :anthropic . :gpt56Sol a schema:SoftwareApplication ; schema:name "GPT-5.6 Sol"@en ; schema:creator :openAI . :deepSeekV3 a schema:SoftwareApplication ; schema:name "DeepSeek-V3"@en ; schema:creator :deepSeek ; schema:description "671-billion-parameter Mixture-of-Experts model activating 37 billion parameters per token."@en . :openAILuna a schema:SoftwareApplication ; schema:name "Luna"@en ; schema:creator :openAI ; schema:description "OpenAI model whose API price was cut 80% on 30 July 2026."@en . :openAITerra a schema:SoftwareApplication ; schema:name "Terra"@en ; schema:creator :openAI ; schema:description "OpenAI model whose API price was cut 20% on 30 July 2026."@en . :openAISol a schema:SoftwareApplication ; schema:name "Sol"@en ; schema:creator :openAI ; schema:description "OpenAI flagship model, left unchanged in the 30 July 2026 price cuts."@en . :aiFoundationModelIndustry a schema:Industry ; schema:name "AI Foundation Model Industry"@en ; schema:naics "518210" ; schema:identifier "https://www.census.gov/naics/?input=518210&year=2022&details=518210" ; schema:isPartOf :section1 ; schema:hasPart :kimiK3 . # =================================================================== # CORE MARKET/BUSINESS ENTITIES # =================================================================== :marketScarcityThesis a schema:CreativeWork ; schema:name "Frontier-scarcity valuation thesis"@en ; schema:description "The private-market assumption that frontier AI capability would remain scarce, defended by capital and exclusive silicon access, justifying valuation multiples of 20x-36x run-rate revenue."@en . :mixtureOfExpertsAction a schema:CreativeWork ; schema:name "Mixture-of-Experts architecture"@en ; schema:description "Architecture decoupling total model parameter capacity from per-token compute cost by routing each token to a subset of specialised expert sub-networks."@en . :distillationAllegation a schema:CreativeWork ; schema:name "Distillation allegation against Moonshot"@en ; schema:description "Michael Kratsios alleged on 22 July 2026 that Moonshot distilled Anthropic's Fable model to build K3 using an internal platform switching between access routes, and had obtained restricted Nvidia GB300 servers via Thailand; Moonshot denies the allegation."@en ; schema:mentions :michaelKratsios, :moonshotAI, :anthropic . :openWeightLetter a schema:CreativeWork ; schema:name "Nvidia-led open-weight model letter"@en ; schema:description "Letter led by Nvidia on 24 July 2026 warning Washington against premature restrictions on open-weight models; 25 original signatories including Microsoft, Meta, IBM, Dell, Palantir, Hugging Face and Mistral, excluding OpenAI, Google and Anthropic initially; grew past 270 signatories by 3 August 2026."@en . :frontierSecurityFinding a schema:CreativeWork ; schema:name "Frontier Security sandbox finding on K3"@en ; schema:description "Frontier Security reported K3 found and used unintended internet access in a sandbox built with UK AI Security Institute benchmark software, retrieving answers from GitHub, due to an outbound-network misconfiguration; AISI's own preliminary evaluation found K3 behind leading American closed-weight models on cyber capability."@en . :techNationReport2026 a schema:Report ; schema:name "Tech Nation Report 2026"@en ; schema:description "Put the UK technology sector at $1.6 trillion (roughly £1.2 trillion), with AI accounting for 32% of that value, more than double its share five years earlier."@en . :cpsPatentReport a schema:Report ; schema:name "Centre for Policy Studies patent filing report"@en ; schema:author :ayushmaMaharjan ; schema:datePublished "2026-04"^^xsd:gYearMonth ; schema:description "Found UK resident patent filings fell 50% between 2000 and 2024, versus Singapore +268%, South Korea +169%, United States +66%; UK is the only G7 economy where domestic inventors file fewer patents than in the 1980s."@en . :stargateUK a schema:CreativeWork ; schema:name "Stargate UK"@en ; schema:description "OpenAI proposal, paused 9 April 2026, exploring an initial offtake of up to 8,000 Nvidia GPUs (potentially 31,000) across UK sites including Cobalt Park, North Tyneside, with Nvidia and Nscale, part of a wider £31 billion UK/US technology package. OpenAI cited regulation and energy costs as blockers."@en ; schema:mentions :openAI, :nscale ; schema:mentions dbr:Nvidia . :challengerJulyReport a schema:Report ; schema:name "Challenger, Gray & Christmas July 2026 job cuts report"@en ; schema:datePublished "2026-08-06"^^xsd:date ; schema:description "Counted 33,429 announced US job cuts in July 2026, a two-year low, down 46% year-on-year; 2026 year-to-date cuts of 477,033, down 41% on 2025. Technology announced 149,023 cuts through July, up 67% year-on-year and 31% of all US job losses; AI cited as the reason for 10,970 cuts in July alone."@en ; schema:citation :challengerQuote . :challengerQuote a schema:CreativeWork ; schema:text "AI is shifting the labor market; it is not dismantling it."@en ; schema:author :andyChallenger . # =================================================================== # BRITISH INVENTION CASES # =================================================================== :colossusComputer a :BritishInventionCase, schema:Product ; schema:name "Colossus"@en ; :yearInvented "1944"^^xsd:gYear ; :capturedValueOutcome "Britain broke up eight of the ten machines, ordered Flowers to burn his drawings, and bound him to silence for thirty years; the US built the commercial computer industry openly from ENIAC onward."@en ; schema:mentions :tommyFlowers, :mauriceWilkes . :monoclonalAntibodies a :BritishInventionCase, schema:Product ; schema:name "Monoclonal antibodies"@en ; :yearInvented "1975"^^xsd:gYear ; :capturedValueOutcome "Discovered unpatented at the Medical Research Council laboratory in Cambridge; monoclonals are now the highest-grossing class of medicines on earth, in an industry overwhelmingly American."@en ; schema:mentions :cesarMilstein, :georgesKohler . :ctScanner a :BritishInventionCase, schema:Product ; schema:name "CT scanner"@en ; :yearInvented "1971"^^xsd:gYear ; :capturedValueOutcome "Invented at EMI, which commercialised it but could not hold the market against General Electric and Siemens, who had the capital and global service networks it lacked."@en ; schema:mentions :godfreyHounsfield . :liquidCrystalDisplay a :BritishInventionCase, schema:Product ; schema:name "Room-temperature liquid crystals"@en ; :yearInvented "1972"^^xsd:gYear ; :capturedValueOutcome "Produced by George Gray's team at the University of Hull; Japan and South Korea built the flat-screen manufacturing industry on top of it."@en ; schema:mentions :georgeGray . :packetSwitching a :BritishInventionCase, schema:Product ; schema:name "Packet switching"@en ; :yearInvented "1965"^^xsd:gYear ; :capturedValueOutcome "Donald Davies built a working network at the National Physical Laboratory but could not persuade the Post Office to fund a national one; the Pentagon's ARPANET became the template instead."@en ; schema:mentions :donaldDavies . :turbojetEngine a :BritishInventionCase, schema:Product ; schema:name "Turbojet engine"@en ; :yearInvented "1930"^^xsd:gYear ; :capturedValueOutcome "Frank Whittle patented the turbojet then let the patent lapse for want of official interest; Britain kept an engine industry while losing the airframes."@en ; schema:mentions :frankWhittle . # =================================================================== # TECH LAYOFF EVENTS # =================================================================== :zillowLayoffs a :TechLayoffEvent ; schema:name "Zillow layoffs, 4 August 2026"@en ; :hasRolesCut 500 ; :hasWorkforcePercentCut "~7%" ; :aiAttributionStatus "Company declined to attribute cuts to AI; cited flat housing market and cost discipline" ; schema:mentions :zillow, :jeremyWacksman . :visaLayoffs a :TechLayoffEvent ; schema:name "Visa layoffs, WARN notice filed 31 July 2026"@en ; :hasRolesCut 320 ; :hasWorkforcePercentCut "part of ~7% (~2,600 roles) global programme" ; :aiAttributionStatus "CEO stated AI is helping to accelerate this evolution; cuts concentrated in senior/engineering leadership (6 VPs, 37 senior directors, 16 chief engineering/architect roles)" ; schema:mentions :visa, :ryanMcInerney, :bioCatch . :etsyLayoffs a :TechLayoffEvent ; schema:name "Etsy layoffs, 5 August 2026"@en ; :hasRolesCut 220 ; :hasWorkforcePercentCut "~12%" ; :aiAttributionStatus "CEO explicitly stated the restructuring was not driven by AI" ; schema:mentions :etsy, :krutiPatelGoyal . # =================================================================== # ARTICLE SECTIONS # =================================================================== :section1 a schema:CreativeWork ; schema:name "Scarcity Made Efficiency Non-Negotiable"@en ; schema:abstract "Moonshot's Kimi K3 matched frontier performance at a fraction of the price, triggering an industry-wide price war and a sell-off in Chinese AI stocks as investors reassessed pricing power."@en ; schema:isPartOf :analysis ; schema:mentions :moonshotAI, :kimiK3, :openAI, :zhipu, :miniMax ; schema:hasPart :aiFoundationModelIndustry, :section2 . :section2 a schema:CreativeWork ; schema:name "What Mixture-of-Experts Actually Does"@en ; schema:abstract "Explains how Mixture-of-Experts routing decouples a model's total parameter capacity from the compute needed per token, loosening (not severing) the link between model size and cost."@en ; schema:isPartOf :section1 ; schema:mentions :mixtureOfExpertsAction, :kimiK3, :deepSeekV3 . :section3 a schema:CreativeWork ; schema:name "Why Constraint Became the Design Brief"@en ; schema:abstract "Less predictable access to newest Nvidia silicon forced Moonshot's efficiency focus; Washington questions K3's provenance via a distillation allegation that remains unresolved."@en ; schema:isPartOf :analysis ; schema:mentions :moonshotAI, :distillationAllegation, :michaelKratsios, :scottBessent, :anthropic . :section4 a schema:CreativeWork ; schema:name "The Fault Line Is Open Weights"@en ; schema:abstract "Industry splits over open-weight model restrictions; Nvidia-led letter grows past 270 signatories while Anthropic holds out for pre-release safety testing; Frontier Security finds a sandbox misconfiguration exposed K3 to unintended internet access."@en ; schema:isPartOf :analysis ; schema:mentions :openWeightLetter, :frontierSecurityFinding, :anthropic . :section5 a schema:CreativeWork ; schema:name "What the Market Was Actually Pricing"@en ; schema:abstract "OpenAI and Anthropic valuations imply 35.5x and 20.5x run-rate revenue respectively, versus 7.5x for public cloud software; Moonshot's reported 117x-167x multiple shows the scarcity premium has crossed the Pacific rather than disappeared."@en ; schema:isPartOf :analysis ; schema:mentions :openAI, :anthropic, :moonshotAI, :marketScarcityThesis . :section6 a schema:CreativeWork ; schema:name "Britain Is Winning the Wrong Argument Loudly"@en ; schema:abstract "Britain has Europe's largest AI ecosystem by value and third-largest AI talent pool, yet OpenAI paused Stargate UK over energy costs and regulation, and most British AI venture capital and exit value flows to the United States."@en ; schema:isPartOf :analysis ; schema:mentions :techNationReport2026, :wayve, :elevenLabs, :stargateUK, :britishBusinessBank, :balderton, :jamesWise . :section7 a schema:CreativeWork ; schema:name "Britain Invents. Other People Own."@en ; schema:abstract "Five historical British inventions—Colossus, monoclonal antibodies, the CT scanner, liquid crystal displays, packet switching and the turbojet—each seeded an industry Britain failed to capture; UK patent filings have fallen 50% since 2000 while rivals' filings rose."@en ; schema:isPartOf :analysis ; schema:mentions :colossusComputer, :monoclonalAntibodies, :ctScanner, :liquidCrystalDisplay, :packetSwitching, :turbojetEngine, :cpsPatentReport . :section8 a schema:CreativeWork ; schema:name "The Signal Tech & AI Layoff Tracker"@en ; schema:abstract "US layoffs overall are at a two-year low, but technology layoffs are up 67% year-on-year with AI cited as the leading stated reason for five consecutive months; Zillow, Visa and Etsy each cut roles in early August 2026 with differing AI attribution."@en ; schema:isPartOf :analysis ; schema:mentions :challengerJulyReport, :zillowLayoffs, :visaLayoffs, :etsyLayoffs . :section9 a schema:CreativeWork ; schema:name "Final Thought"@en ; schema:abstract "Every story in the issue turns on who captures the value of an idea; Britain must make electricity cheap enough, capital patient enough, and buyers willing to choose British technology, or repeat its historical pattern."@en ; schema:isPartOf :analysis ; schema:hasPart :howtoSection . # =================================================================== # FAQ SECTION (14 questions) # =================================================================== :faqSection a schema:FAQPage ; schema:name "Frequently Asked Questions"@en ; schema:isPartOf :analysis ; schema:mainEntity :q1, :q2, :q3, :q4, :q5, :q6, :q7, :q8, :q9, :q10, :q11, :q12, :q13, :q14 . :q1 a schema:Question ; schema:name "Why does China's AI efficiency progress threaten American frontier-model valuations?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a1 . :a1 a schema:Answer ; schema:text "Roughly $2 trillion of American AI valuation rests on the assumption that frontier capability will stay scarce. Moonshot's Kimi K3 delivers near-frontier performance at API prices well below leading American models, undercutting that scarcity premise on pricing rather than raw capability."@en . :q2 a schema:Question ; schema:name "What is Kimi K3?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a2 . :a2 a schema:Answer ; schema:text "Kimi K3 is Moonshot AI's open-weight Mixture-of-Experts model released 16 July 2026, with 2.8 trillion parameters, a one-million-token context window, and a custom commercial licence requiring a separate agreement above $20 million aggregate revenue."@en . :q3 a schema:Question ; schema:name "How does Mixture-of-Experts architecture reduce inference cost?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a3 . :a3 a schema:Answer ; schema:text "A router sends each token to a small subset of specialised expert sub-networks rather than activating every parameter. Kimi K3 holds 896 experts and activates 16 per token, so only about 104 billion of its 2.8 trillion parameters do work on any given token."@en . :q4 a schema:Question ; schema:name "What did Washington allege about Kimi K3's origins?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a4 . :a4 a schema:Answer ; schema:text "Michael Kratsios alleged Moonshot distilled Anthropic's Fable model and used restricted Nvidia GB300 servers obtained via Thailand. Moonshot denies this and attributes K3's performance to its own architectural work; the allegation remains unresolved."@en . :q5 a schema:Question ; schema:name "What is the fault line among AI companies on open-weight models?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a5 . :a5 a schema:Answer ; schema:text "Nvidia led a 24 July 2026 letter opposing premature open-weight restrictions, growing to over 270 signatories including OpenAI and Google. Anthropic is the conspicuous holdout, arguing sufficiently capable systems—open or closed—should face rigorous pre-release safety testing."@en . :q6 a schema:Question ; schema:name "What did OpenAI and Anthropic disclose about their valuations?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a6 . :a6 a schema:Answer ; schema:text "OpenAI announced $122 billion of committed capital at an $852 billion post-money valuation with roughly $24 billion annualised revenue (35.5x). Anthropic announced $65 billion at $965 billion post-money with $47 billion run-rate revenue (20.5x)."@en . :q7 a schema:Question ; schema:name "How does Moonshot's valuation compare to its revenue?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a7 . :a7 a schema:Answer ; schema:text "On reported figures, Moonshot's $35 billion valuation against $300 million annual recurring revenue is roughly 117 times run-rate; a $50 billion pre-money round would push that toward 167 times—higher than either American competitor's multiple."@en . :q8 a schema:Question ; schema:name "What is Britain's position in the global AI economy?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a8 . :a8 a schema:Answer ; schema:text "Britain has Europe's largest AI ecosystem by company value and the world's third-largest AI talent pool. The Tech Nation Report 2026 valued the UK tech sector at $1.6 trillion, with AI accounting for 32% of that value."@en . :q9 a schema:Question ; schema:name "Why did OpenAI pause Stargate UK?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a9 . :a9 a schema:Answer ; schema:text "OpenAI paused the proposal, which explored up to 31,000 Nvidia GPUs across UK sites with Nscale, on 9 April 2026, stating that regulation and energy costs needed to improve before long-term investment could proceed."@en . :q10 a schema:Question ; schema:name "What percentage of British AI venture capital comes from the United States?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a10 . :a10 a schema:Answer ; schema:text "Around half of the venture capital invested in British AI comes from the United States, and 57 pence of every pound generated at exit flows back there; only 16% of capital in rounds over $250 million in H1 2026 came from British investors."@en . :q11 a schema:Question ; schema:name "What historical pattern does Britain have with breakthrough inventions?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a11 . :a11 a schema:Answer ; schema:text "Britain repeatedly originates breakthrough technologies—Colossus, monoclonal antibodies, the CT scanner, liquid crystal displays, packet switching, the turbojet—and then fails to build the industries around them, which other countries or companies capture instead."@en . :q12 a schema:Question ; schema:name "What does the Centre for Policy Studies report say about UK patent filings?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a12 . :a12 a schema:Answer ; schema:text "Resident UK patent filings fell 50% between 2000 and 2024, while Singapore rose 268%, South Korea 169% and the US 66%; Britain is the only G7 economy where domestic inventors file fewer patents than in the 1980s."@en . :q13 a schema:Question ; schema:name "What happened with major US tech layoffs in July 2026?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a13 . :a13 a schema:Answer ; schema:text "Overall US layoffs hit a two-year low, but technology announced 149,023 cuts through July, up 67% year-on-year and 31% of all US job losses, with AI cited as the leading stated reason for the fifth consecutive month."@en . :q14 a schema:Question ; schema:name "What three things does the article say Britain needs to capture AI value?"@en ; schema:isPartOf :faqSection ; schema:acceptedAnswer :a14 . :a14 a schema:Answer ; schema:text "Electricity cheap enough to compute in Britain, capital patient enough to scale British companies there, and customers—including government—willing to buy British technology before an American acquirer does."@en . # =================================================================== # GLOSSARY SECTION (12 terms) # =================================================================== :glossarySection a skos:ConceptScheme, schema:DefinedTermSet ; schema:name "Glossary"@en ; schema:isPartOf :analysis ; schema:hasDefinedTerm :termMoE, :termOpenWeight, :termFrontierModel, :termDistillation, :termModelAsAService, :termRunRateRevenue, :termValuationMultiple, :termComputeRoadmap, :termSovereignAIUnit, :termAIGrowthZones, :termDenseNetwork, :termCacheHit . :termMoE a schema:DefinedTerm ; schema:name "Mixture-of-Experts"@en ; schema:description "A neural network architecture that routes each token to a subset of specialised expert sub-networks rather than activating every parameter, decoupling total model capacity from per-token compute cost."@en ; schema:isPartOf :glossarySection . :termOpenWeight a schema:DefinedTerm ; schema:name "Open-weight model"@en ; schema:description "A model whose trained parameter weights are published for download, modification and deployment, typically under a custom or open licence, as distinct from a fully proprietary API-only model."@en ; schema:isPartOf :glossarySection . :termFrontierModel a schema:DefinedTerm ; schema:name "Frontier model"@en ; schema:description "A large language model at or near the state of the art in capability, historically assumed to be defensible through capital intensity and exclusive access to the newest computing hardware."@en ; schema:isPartOf :glossarySection . :termDistillation a schema:DefinedTerm ; schema:name "Distillation (AI)"@en ; schema:description "A training technique in which a smaller or newer model learns from the outputs or behaviours of an existing model, which can transfer capabilities without independently replicating the original architecture."@en ; schema:isPartOf :glossarySection . :termModelAsAService a schema:DefinedTerm ; schema:name "Model-as-a-service"@en ; schema:description "A commercial arrangement in which a company builds a product on top of a licensed AI model, subject in Kimi K3's case to a separate agreement once aggregate revenue exceeds $20 million over twelve months."@en ; schema:isPartOf :glossarySection . :termRunRateRevenue a schema:DefinedTerm ; schema:name "Run-rate revenue"@en ; schema:description "Annualised revenue calculated by extrapolating a recent short-period revenue figure, used by both OpenAI and Moonshot to describe current-period performance ahead of audited annual results."@en ; schema:isPartOf :glossarySection . :termValuationMultiple a schema:DefinedTerm ; schema:name "Valuation-to-revenue multiple"@en ; schema:description "The ratio of a company's private-market valuation to its annualised or run-rate revenue, used in the article to compare OpenAI (35.5x), Anthropic (20.5x) and Moonshot (117x-167x) against public software's 7.5x."@en ; schema:isPartOf :glossarySection . :termComputeRoadmap a schema:DefinedTerm ; schema:name "Compute Roadmap"@en ; schema:description "UK government commitment of up to £2 billion to public research compute, including about £1 billion for AI Research Resource infrastructure expansion and up to £750 million for a national supercomputer in Edinburgh."@en ; schema:isPartOf :glossarySection . :termSovereignAIUnit a schema:DefinedTerm ; schema:name "Sovereign AI Unit"@en ; schema:description "A £500 million UK government unit launched in April 2026 under James Wise of Balderton to support domestically anchored AI capability."@en ; schema:isPartOf :glossarySection . :termAIGrowthZones a schema:DefinedTerm ; schema:name "AI Growth Zones"@en ; schema:description "Five UK-designated zones, from Culham to Lanarkshire, intended to concentrate AI infrastructure investment alongside £44 billion of announced private-sector AI data-centre investment."@en ; schema:isPartOf :glossarySection . :termDenseNetwork a schema:DefinedTerm ; schema:name "Dense neural network"@en ; schema:description "A network architecture in which every parameter is used to process every input token, making cost scale directly with total parameter count, unlike a Mixture-of-Experts model."@en ; schema:isPartOf :glossarySection . :termCacheHit a schema:DefinedTerm ; schema:name "Cache hit pricing"@en ; schema:description "A reduced per-token API price applied when a model reuses previously processed input context; Kimi K3 prices cache hits at $0.30 per million tokens versus $3 for uncached input."@en ; schema:isPartOf :glossarySection . # =================================================================== # HOWTO SECTION (3 steps) # =================================================================== :howtoSection a schema:HowTo ; schema:name "How Britain Can Capture AI Application-Layer Value"@en ; schema:isPartOf :section9 ; schema:step :step1, :step2, :step3 . :step1 a schema:HowToStep ; schema:name "Make electricity cheap enough to compute here"@en ; schema:position 1 ; schema:isPartOf :howtoSection ; schema:text "Reduce British industrial electricity costs, currently among the most expensive in the developed world, so AI compute is economically viable to run domestically."@en . :step2 a schema:HowToStep ; schema:name "Make capital patient enough to scale here"@en ; schema:position 2 ; schema:isPartOf :howtoSection ; schema:text "Grow domestically sourced, long-horizon investment so British AI application companies are not forced to rely on the roughly 50% of venture capital and majority of exit value currently flowing from and back to the United States."@en . :step3 a schema:HowToStep ; schema:name "Get customers, including government, to buy British technology first"@en ; schema:position 3 ; schema:isPartOf :howtoSection ; schema:text "Secure UK public- and private-sector procurement commitment to domestic AI technology before an American acquirer buys the company outright, breaking the historic pattern of British invention followed by foreign capture."@en .