June 24, 2026
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Greetings,
This week: a fix for AI's messiest problem, an agent that teaches itself, and a pivot nobody saw coming.
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In Today's Signal
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| Signal |
Google just fixed one of AI's most expensive hidden problems: scattered company knowledge |
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| AI News |
NVIDIA and ServiceNow launch an AI agent that improves itself while it works |
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| AI News |
Midjourney, the AI art company, pivots to building a medical scanner |
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| Futurelab |
Introducing Council of Minds |
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| Signal of the Week |
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Most companies are sitting on years of knowledge AI cannot actually read - Google just published a fix.
| Every company has decades of know-how trapped in slide decks, PDFs, wikis, and someone's head. AI tools can technically open these files, but they cannot reliably use what is inside them, the information is too scattered and inconsistent. |
| Google's new Open Knowledge Format (OKF) is a shared structure for writing down company knowledge so both humans and AI systems can use it without translation - a common filing system that any AI tool, not just Google's, can plug into directly. |
| Early adopters are using it to turn internal documentation, support tickets, and policy manuals into something an AI assistant can search and answer from accurately, instead of guessing. |
| To start: pick one high-traffic knowledge set, your most repeatedly searched policy doc, FAQ, or support library, and have your data or IT team restructure it into OKF using Google's own implementation guide and the OKF technical README for the exact spec. Test it with one AI tool before rolling it out wider. |
Futurelab Take
This is the unglamorous work that actually determines if AI delivers value in your business. Before buying another AI tool, ask how your own knowledge is structured. A more capable model sitting on top of disorganised information will still give you confident, wrong answers.
Source: Google Cloud Blog - How the Open Knowledge Format can improve data sharing
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| AI News That Matters |
| Enterprise AI - Autonomous Agents |
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NVIDIA and ServiceNow just launched an AI agent that improves itself while it works
| NVIDIA and ServiceNow unveiled Project Arc, a desktop AI agent built for enterprise work that does not just follow instructions - it reviews its own performance and adjusts its approach over time, without waiting for an engineer to retrain it. |
| Unlike most AI assistants today that need to be manually reconfigured as workflows change, Project Arc is designed to sit on an employee's desktop, learn the patterns of repetitive tasks, and refine how it handles them as it goes. |
| The partnership pairs NVIDIA's AI infrastructure with ServiceNow's enterprise workflow reach, meaning this is built to plug into systems large companies already run on, not a standalone experiment. |
Futurelab Take
Self-improving agents sound impressive, but the real question for any leadership team is governance - who reviews what the agent decided to change, and how. Adopt the capability, but do not skip the audit trail.
Source: NVIDIA Blog - ServiceNow and NVIDIA on autonomous AI agents for enterprises
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| AI & Hardware - Unexpected Pivot |
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Midjourney, known for AI art, just pivoted to building a medical scanner
| Midjourney, the company best known for AI image generation, is moving into healthcare hardware with a full-body ultrasound scanner, a sharp departure from its original product. |
| The device is designed to make detailed, full-body imaging faster and more accessible, an area traditionally limited by expensive, specialised equipment and trained technicians. |
| The pivot signals something bigger than one company's strategy shift - AI labs with strong visual and pattern-recognition models are realising those same capabilities translate directly into medical imaging. |
Futurelab Take
Watch which AI companies start moving into adjacent, regulated industries. It usually means they see a faster or cheaper way to apply the same underlying model - and it is worth asking what your own data or product could similarly translate into.
Source: Bloomberg - AI startup Midjourney pivots to health with ultrasound machine
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| Practical Tool - Steal This |
The Weekly Competitive Pulse Check
A 5-minute weekly habit that catches competitor moves before they catch you by surprise.
| Most leaders find out about a competitor's move weeks late - usually from a customer, a board member, or the news, not from their own team. |
| Pick 3 to 5 named competitors and run one AI search prompt every Monday morning covering the last 7 days of news, hires, pricing changes, and product launches. |
| Skim the sourced results, spot-check anything material, and forward only what matters to the right person with one line of context. |
| This takes 5 minutes a week and replaces a habit most companies do not have at all: a standing, low-effort way of staying current on the competitive landscape. |
Copy This Prompt
"Search the web for news from the last 7 days about [Competitor 1, Competitor 2, Competitor 3]. Include: new product launches, pricing changes, leadership hires, partnerships, and funding news. Cite sources for each item. Summarise in no more than 5 bullet points, ranked by relevance to a company in [your industry]."
Pro tip: Save this as a recurring prompt and run it the same time every week, so it becomes a habit, not a one-off.
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| From Futurelab |
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