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Hospitals kept racing ahead on AI deployment this week while their security controls lagged behind, and Anthropic's push toward a $2 trillion IPO put its own governance under public scrutiny for the first time. Deployment keeps outrunning discipline. Gartner's data shows why: only 22% of organizations have actually scaled AI, and the ones who track it like a portfolio see returns on 81% of their bets. The ones who don't can't tell you what happened to the other 29%.
Innovation Snapshot
"There are infinite ways to break an AI, and you can't defend against something you've never seen."
— Noam Schwartz, CEO, Alice
In today's lineup
Robots
Track AI like a portfolio, not a wishlist
Real ROI from Gen AI
Governance for a billion AI agents
People
Pablo Palafox is scaling AI agents from the phone line into the full operation
Love
What hundreds of frontyards taught me about the hyperscaler question
Thinking in Bets by Annie Duke
Reading time: 3 min.
ROBOTS 🤖
How are robotics and AI changing industries? We break down the latest news, tools, and innovations for you.
Top Insights
Hospitals are deploying AI faster than they're updating security controls, widening the attack surface before governance catches up.
Anthropic's $2tn IPO puts its external trustees in the spotlight, testing whether outside governance holds up under public-market scrutiny.
Workers' share of US income just hit a record low, before the AI boom even begins, raising the stakes on what AI actually needs to deliver.
Abu Dhabi's G42 is weighing US ownership to lock in AI chip access, trading control for a durable supply line.
DeepSeek plans a 160,000-chip Huawei order for a new data center, betting on China's own silicon for its next buildout.
Track AI like a portfolio, not a wishlist
A Gartner survey of 1,303 leaders at $50M+ revenue orgs finds only 22% have scaled AI across multiple business units or gone AI-first.
85% plan to spend more on AI in 2026, after already committing 12% of their budget in 2025. High performers report positive returns on 81% of their AI initiatives. Low performers can't produce return data for 29% of theirs.
What the 22% do differently:
Track ROI on every initiative, not just the wins
Run AI spend as a portfolio, and cut what doesn't pay off
Reassess on a fixed cadence, not once a year
Cadence is the difference between 81% and 29%.
How does your team actually track AI ROI today?
Real ROI from Gen AI
How human-centric AI delivers business results
MUSC Health's AI agent Emily has handled 2.2M+ patient calls since 2024, now extended into pharmacy refills across 13 locations.
Kimberly-Clark's AI agents lifted knowledge-search productivity 40-50%; CEO Michael Hsu is scaling them company-wide.
AWS's Connect Decisions triages thousands of daily supply chain alerts for beta customers including Wells Vehicle Electronics and TVS Motors.
Tool Spotlight
Your weekly briefing on tools that create competitive leverage
Governance for a billion AI agents
Runs adversarial attacks from the largest real-world attack dataset in the category against models before and after launch. $140M raised, nearing $100M ARR. Best for Chief AI Officers who need proof before deployment.
One interface to govern every AI agent in the business. Built by former Optus CEO Kelly Bayer Rosmarin. $2.6M seed. Best for CIOs who've lost track of agent access.
3 other tools to explore
Geordie AI suits security teams building their first agent-specific threat model.
Sycamore Labs suits enterprises building a real operating layer for agents.
Qevlar AI suits SOC teams that want alerts triaged automatically, not just stacked in a dashboard.
PEOPLE 👥
Meet the innovators turning bold ideas into real-world impact.
Transformation Champion
Pablo Palafox is scaling AI agents from the phone line into the full operation
Palafox left a PhD in computer vision at TU Munich in 2022 to start HappyRobot. Its voice agents book freight, chase collections, and resolve exceptions for DHL, Kuehne+Nagel, Uber, Naturgy, and Repsol. A $150M Series C values it at $1.2B, and it's expanding from logistics into energy, insurance, and manufacturing.
LOVE ❤️
Practical wisdom, growth tactics, and a must-read book that will challenge the way you think.
What hundreds of frontyards taught me about the hyperscaler question
The AI infrastructure layer is consolidating hard into a handful of hyperscalers, exactly like every network effect predicts. But deployment isn't following the same script.
No single deployment framework holds even 30% share of production AI right now. The generic, one-size-fits-all middle is the segment losing ground fastest. What's compounding instead is the long tail of operators who went deep on one specific operational mess.
I run this test on my own street: if a competitor in your exact vertical could take your AI program, unchanged, and it would work just as well for them, what does that actually tell you?
Read the full piece here.
Transformative Reads
One book, handpicked from my conversations with friends, industry leaders, and tech innovators:
Thinking in Bets by Annie Duke. A former professional poker player's case for treating decisions as bets, not verdicts: separate the quality of the decision from the outcome, and reassess as new information comes in instead of defending the original call. The same discipline behind the 22% in today's main insight: judge the process, not just whether one initiative happened to pay off.
In Culture
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Much Love,
Matt and the Future Works team
