July 22, 2026
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Greetings, this week: Fireworks AI raises $1.5 billion and crosses $1 billion in revenue, without building a single frontier model, Netflix finally puts real numbers behind how much AI already touches your favourite shows, Nvidia teams up with Japan's biggest industrial names to build the robots of 2028, and a look inside our AI Ninja training with the Sattva Consulting team.
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In Today's Signal
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| Signal |
Fireworks AI closes a $1.5B round and crosses $1B in revenue, without building its own model |
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| AI News |
Netflix's AI production numbers, and Nvidia's robotics bet with Japan |
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| Steal This |
Claude for Excel + Claude Cowork (spreadsheet reconciliation) |
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| Futurelab |
We ran an AI Ninja training with the Sattva Consulting team |
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| Signal of the Week |
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Fireworks AI closes a $1.5 billion round and crosses $1 billion in revenue, without ever building its own model
| Fireworks AI closed a $1.5 billion Series D on July 16 at a $17.5 billion valuation, led by Atreides Management, Index Ventures, and TCV, with Nvidia and Lightspeed also joining in. |
| Its annualised revenue has crossed $1 billion, up fivefold in a year, with Uber, Shopify, and Doximity among the companies running real production work on it. |
| Fireworks doesn't build a frontier model of its own, it just runs other people's models faster and cheaper, the kind of business that gets more valuable the more models get released, not less. |
Futurelab Take
While the big labs argue over whose model is smartest, the money quietly piling into who can run any model the cheapest just crossed a serious line. If you haven't checked lately what you're actually paying to run AI day to day, separate from what you pay for the model itself, this is a good week to ask.
Source: "Fireworks Raises $1.5B to Expand Enterprise AI Model Platform," AIwire
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| AI News That Matters |
| Media and Entertainment |
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Netflix confirms generative AI touched roughly 300 of its titles this year, and puts real numbers on the savings
| In its July 16 shareholder letter, Netflix said generative AI has been used in around 300 titles this year, mostly to help build crowds, battle scenes, and elaborate backdrops during post-production. |
| Co-CEO Ted Sarandos pointed to the docuseries "The American Experiment" as an example: 17 minutes of AI-enhanced footage that came together twice as fast and at half the usual cost. |
| It's one of the first times a major studio has attached real numbers to what AI is actually saving them, instead of a vague line about "exploring the technology." |
Futurelab Take
Most companies talk about AI savings in hand-wavy terms. Netflix just gave everyone a real number to measure against: twice the speed, half the cost, on one specific piece of work. If your team is still building the case for AI spend on guesswork, borrow this one instead.
Source: "About 300 Netflix Titles Used Generative AI This Year, Company Reveals," Variety
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| Robotics and Physical AI |
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Nvidia teams up with Japan's biggest industrial names to build the robots of 2028
| On July 16, Nvidia announced a partnership with Fanuc and Yaskawa Electric, two of Japan's largest robotics makers, to build more adaptable industrial robots. |
| Separately, Noetra, a Japan-backed AI infrastructure group supported by SoftBank, Sony, NEC, and Honda, committed to buying 27,500 Nvidia Rubin chips for a dedicated "physical AI" factory. |
| None of this happens overnight, construction starts in 2027 and the factory won't be running until mid-2028, but the scale of backing behind pairing robots with dedicated compute is the real story. |
Futurelab Take
This isn't a product you can buy next quarter, it's a sign of where serious money is placing multi-year bets. If your business touches manufacturing, logistics, or anything physical, this is worth a note on next year's radar, not something to skim past as just another robotics headline.
Source: "Japan's robotics leaders unite with Nvidia," Taipei Times
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| Practical Tool - Steal This |
| Productivity - Claude for Excel + Claude Cowork |
Stop reconciling month-end spreadsheets by hand across three departments
Finance, ops, and HR each keep their own version of the truth in spreadsheets, and someone always loses a weekend manually reconciling them before the board deck goes out. Claude for Excel now handles pivot tables, charts, and file uploads natively inside the spreadsheet itself, and Claude Cowork can pull all three versions together into one reconciled report without anyone copying and pasting between tabs.
| 1. | Point Cowork at the finance, ops, and HR versions of the spreadsheet and ask it to flag every discrepancy between them, not just merge the numbers. |
| 2. | Have it draft a single reconciled version in Claude for Excel, keeping pivot tables and formulas intact instead of flattening everything into static numbers. |
| 3. | Ask it to write a short summary of what changed and why, so there's a clear trail instead of a silent overwrite nobody can explain later. |
| 4. | Turn it into a recurring monthly task once you've checked the first run by hand, so trust is earned before it runs unattended. |
Why it works: The bottleneck was never doing the maths, it was manually tracking down which version was current across three teams. Automating that cross-check, not just the arithmetic, is what actually saves the weekend.
Source: ChatFin
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| From Futurelab |
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Workshop
AI Ninja Training with the Sattva Consulting Team
We just wrapped up an AI Ninja training with a hand-picked group of AI champions at Sattva Consulting, built around getting genuinely comfortable with Claude, not just curious about it. It's good to see the impact sector taking AI this seriously, work that matters this much deserves the same rigour. Thanks to the Sattva team for the energy in the room.
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