Intelligence. Capitalised The definitive AI authority for the global executive. Mapping the strategy and economics of Artificial Intelligence.
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tokenando retweeted
Whenever someone asks me whether AI will make it easier for hackers to move money out of our bank accounts, my answer is always the same:
the problem is usually the human in the loop.
The Compute by @TokenandoAI Issue XXV is out:
tokenandoai.substack.com/p/t…
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📰 The Tokenando Daily / Thursday October 22, 2026
/ Demis Hassabis compresses his AGI timeline to 2 to 3 years, converging with Anthropic's Dario Amodei on the same window
/ Google Cloud adds OpenAI's GPT-6 models to its platform, becoming the only hyperscaler offering Gemini, Claude, and GPT under one invoice
/ Blackstone's Jas Khaira argues AI infrastructure debt fears are overstated, even as CoreWeave bonds trade below 80 cents on the dollar
/ AT&T and OpenAI formalise a legal AI partnership, with AT&T signalling its external law firm panel could shrink from 30 firms to around 18 to 20
/ Ericsson ConsumerLab finds 63% of UAE smartphone users expect to delegate daily tasks to AI agents by 2030, double the global projection
/ BlackRock's Larry Fink warns that a slow data-centre buildout carries its own inflation risk, in direct tension with central bank caution on AI-driven demand
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🔗 links and details in following posts
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Ericsson ConsumerLab published a report in October 2026 based on a survey of more than 43,000 smartphone users aged 15 to 69 across 27 markets, examining how consumer AI usage is shaping future network needs. The UAE findings stand out: 10% of respondents already use agentic AI for tasks they previously performed themselves, double the global figure of approximately 4 to 5%.
By 2030, 63% of UAE smartphone users are expected to delegate everyday tasks to AI agents, against a global projection of 38%. The share of AI super users, defined as those making heavy use of multimodal AI, is projected to grow from 18% to approximately 46% of UAE smartphone owners by 2030. For this group, AI response time is 2.4 times more critical to network satisfaction than for the average user. Separately, 54% of daily AI users surveyed expressed strong concern about fake AI assistants acting in their name; Ericsson's data identifies communication service providers as the most trusted verifiers of AI agent identity.
e& UAE announced in August 2026 that it is embedding agentic AI directly into its Business Pro fixed internet and enterprise connectivity plans, pairing the capability with Sovereign AI Compute providing UAE-based GPU capacity. Ericsson Gulf Region president Petra Schirren has noted the UAE's adoption trajectory is running ahead of global averages.
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Full details via Ericsson / ericsson.com/en/press-releas…
BlackRock chairman and chief executive Larry Fink warned in a Bloomberg video interview published October 21 that a slow data-centre buildout carries its own inflation risk. Fink argued that insufficient AI infrastructure investment could constrain the productivity gains needed to offset inflationary pressures elsewhere in the economy. BlackRock manages approximately $11.5tn in assets and has significant exposure to infrastructure investment through its alternatives and real assets platforms.
Fink's position sits in direct tension with signals from central bankers gathered at the IMF and World Bank annual meetings in Bangkok in mid-October 2026. Federal Reserve Chair Kevin Warsh described AI investment as a demand-side shock arriving before the supply-side productivity offset, and warned the transition could be "very bumpy." ECB policymaker Martins Kazaks told Reuters there is "a global fight for money" and that AI investment is "one of the key factors driving up the cost of money."
The 2 positions are not simply a disagreement about pace. Warsh's concern is that building too fast generates demand-side inflation before productivity gains materialise. Fink's concern is that building too slowly would produce a productivity shortfall with its own inflationary consequences. Both arguments are being made simultaneously by credible, senior figures, and the uncertainty between them is a live variable for any organisation making long-duration infrastructure commitments.
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Full details via Bloomberg / bloomberg.com/news/videos/20…
📰 The Tokenando Daily / Wednesday October 21, 2026
/ DeepSeek open-sources DeepInfer, the inference engine behind its V4.1-Flash model, reporting $38 per GPU per hour in production revenue
/ Nvidia in talks to invest hundreds of millions in Firmus Grid after the Australian data centre operator's $44bn IPO collapsed for insufficient demand
/ SpaceX AI division posts $7.56bn in quarterly revenue, up ninefold year on year, as Elon Musk confirms Tesla merger talks are under way
/ Anthropic circulates draft AEGIS Act to US lawmakers, proposing federal AI safety intervention only when more than 50 deaths or $1bn in damages are at stake
/ Mistral launches Voxtral 3, a full voice agent stack covering 50-plus languages, with EU-hosted API and on-premise deployment options
/ ElevenLabs releases Eleven Realtime, 2 speech-to-speech models with OpenAI API compatibility and independent benchmark scores covering 90-plus languages
/ Anthropic's leaked IPO prospectus reveals AWS and Google routed 47% of its 2025 revenue while simultaneously competing with Claude across enterprise markets
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On October 20, 2026, 2 companies released production-ready voice AI systems within hours of each other, compressing what had been a relatively uncrowded market into a contested one within a single day.
Mistral AI released Voxtral 3, a complete voice agent system comprising 3 speech-to-text models, 2 text-to-speech models, and a voice agent SDK built on the LiveKit framework. The system combines transcription, reasoning, tool calling, and speech generation into a single real-time streaming pipeline, with each turn completing in under 1 second. Transcription supports more than 50 languages; text-to-speech covers more than 35 languages and 50 dialects with emotional adaptation. Pricing starts at $0.0035 per minute for batch transcription and $0.04 per minute for the full voice agent stack using Mistral Small as the reasoning model. The system is available through Mistral's EU-hosted API or for self-deployment on private infrastructure. Mistral's own figures show sub-500ms transcription latency and a 4 to 4.1% word error rate on the FLEURS 45 multilingual benchmark; no independent benchmarking had been published at launch.
ElevenLabs released Eleven Realtime on the same day, offering 2 variants: v1 Mini, optimised for natural conversation at lower cost, and v1 Max, designed for complex tasks including customer support and multi-step workflows with tool calling. Both support more than 90 languages and can draw on more than 17,000 voices. Independent evaluation by Artificial Analysis found that v1 Max answered 98.8% of questions correctly on the Big Bench Audio benchmark with a 0.57-second time to first audio; v1 Mini scored 75.9% with a 0.62-second response time. On tool-use tasks, v1 Max completed 87.1% successfully against 60.3% for v1 Mini. Both models are compatible with OpenAI's Realtime API specification, allowing developers to switch by changing the endpoint and model name in existing code.
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Full details via Mistral AI / mistral.ai/news/voxtral-3/
Full details via ElevenLabs / elevenlabs.io/blog/realtime
A leaked S-1 filing reported by The Wall Street Journal reveals that Anthropic is experiencing structural tensions in its relationships with Amazon Web Services, Google Cloud, and Microsoft, which the filing describes as increasingly viewing Anthropic as a competitor rather than a customer. Anthropic's total projected cloud spending could exceed $750bn, including deals still under negotiation, yet the company reports it cannot secure sufficient compute capacity from the hyperscalers and is supplementing with leased data centres and third-party operators it describes as having "limited operating history."
The company reported $16.3bn in revenue and an $80.7bn net loss in the first half of 2026, with 2 unnamed customers accounting for approximately one-fifth of sales. Third-quarter 2026 revenue reached $16.8bn, up 45% from the prior quarter. AWS and Google routed 47% of Anthropic's 2025 revenue through their cloud marketplaces, up from 32% in 2024 and 11% in 2023, while also holding equity stakes, supplying compute, and competing directly with Claude through their own model offerings. Anthropic paid $351m in distribution fees to AWS and Google and held $54.6bn in non-cancellable hosting commitments at end-2025.
A separate dispute with OpenAI concerns Anthropic's practice of booking gross marketplace revenue, which OpenAI has argued inflates reported figures by billions of dollars. Anthropic is targeting a November 2026 IPO. The Nscale $45bn compute deal is cited as Anthropic's primary attempt to diversify supply away from the hyperscalers.
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Full details via TechCrunch / techcrunch.com/2026/10/20/an…
📰 The Tokenando Daily / Tuesday October 20, 2026
/ Anthropic in advanced talks with Nscale for a second $45bn compute deal, potentially bringing total committed spend to $90bn
/ US State Department sanctions 5 Chinese entities, including a Beijing VC firm, over theft of Google AI infrastructure secrets
/ CoreWeave bonds hit distressed territory with yields near 16%, as Gartner warns 80% of neocloud providers could fail by 2030
/ MiniMax releases M3.1 Flash at $0.15 per million input tokens, cutting per-task cost 57% from its predecessor in 4 months
/ Emirates NBD becomes the first MENA bank to deploy OpenAI models on UAE in-country inference infrastructure
/ German courts in Aachen and Munich hold Google directly liable for false statements generated by its AI Overviews feature
/ VAST Data and Hyperfusion partner to deliver sovereign AI inference in a containerised data centre deployable in weeks
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Emirates NBD and OpenAI announced on October 19, 2026 that the Dubai-based banking group would become the first bank in the MENA region to deploy OpenAI's GPT models using in-country inference infrastructure in the UAE. The arrangement covers 4 areas: customer engagement across digital channels, risk and compliance analytics, automation of knowledge-intensive workflows, and employee productivity.
Emirates NBD will connect the models to its internal systems, APIs and enterprise data. The bank has total assets of AED 1.3tn ($354bn), operates in 13 countries, serves more than 25 million active customers, and reports that 97% of its transactions and requests already occur outside branches. OpenAI switched on inference residency in the UAE in August 2026, making it the first MENA market where prompts, files and conversations are processed only on GPUs within the country.
No financial terms were disclosed, and no deployment launch date has been announced.
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Full details via Emirates NBD / emiratesnbd.com/en/media-cen…
The Aachen Regional Court issued a preliminary injunction on October 18, 2026 barring Google from spreading false statements about a physician through its AI Mode search feature, explicitly citing the reasoning of a May 2026 Munich Regional Court ruling. In the Aachen case, Google's AI had attributed criminal allegations involving a different former university professor to the physician, fabricating a detailed legal aftermath including invented proceedings. The doctor notified Google in late August 2026; Google declined to act in mid-September. The Aachen court acted on an emergency basis without hearing Google first, and set fines of up to €250,000 per violation.
The Munich ruling, handed down on May 28, 2026, classified AI Overviews as Google's own statements rather than neutral aggregation of third-party content, making Google directly liable for their accuracy. Google announced an appeal of the Munich ruling in June 2026 but subsequently settled, meaning no higher court has yet ruled on the underlying legal theory. The Aachen court described AI Overviews as producing "independent, new, and substantive statements based on an evaluation and combination of content from various third-party websites."
Parallel rulings have been noted in Frankfurt, Hamburg and Hamm. The distinction between the Munich and Berlin rulings is legally significant: Munich found direct liability for evaluative AI summaries, while Berlin found no liability for AI texts that remained within the underlying search results.
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Full details via The Decoder / the-decoder.com/two-german-c…
