{{first_name | Hi}}, your strategic AI update is here.
China is building an AI-native workforce, Oracle trades human capital for compute in a brutal strategic rotate, and the talent war is now a closed loop. The "Global Intelligence Crisis" has begun. Citrini Research models the collapse of seat-based SaaS by 2028, forcing a hard pivot from selling friction to owning data.
"Amateurs talk strategy. Professionals talk logistics."
— General Omar Bradley, U.S. Army General
In today's lineup:
Robots
Agentic AI moves from pilot to production
Real ROI from Gen AI
Deep workflow agents vs the unified workspace
People
Karol Hausman raises $1B to give robots a brain
Love
Diagnosing the execution gap
Rewired by Lamarre, Smaje, and Zemmel
ROBOTS 🤖
How are robotics and AI changing industries? We break down the latest news, tools, and innovations for you.
Top Insights
Mark Zuckerberg shifts Meta from research to execution.
US permits for Nvidia and AMD turn compute into a sovereign risk.
Oracle liquidates headcount to finance the pivot from labor to compute.
Tool overload breaks cognitive capacity instead of augmenting it.
Anthropic fights the Pentagon as ethics clash with defense reality.
Agentic AI moves from pilot to production
Current level of AGI platform adoption within organizational workflows
Pilot purgatory is dead. CrewAI’s recent data shows 100% of enterprises plan to expand agentic AI this year, while Deloitte tracks a 50% surge in worker access. Leaders have finished testing feasibility and now deploy agents to solve expensive problems without human intervention.
What leaders can do
Federate agent development to domain-specific teams
Audit data pipelines for decision quality
Launch pilots with strict ninety day limits
Anchor value in proprietary data moats
What is your biggest blocker to moving AI agents into production?
Real ROI from Gen AI
How human-centric AI delivers business results
Roche (Genentech) is using a "lab-in-a-loop" generative AI system to target neoantigens for cancer vaccines, partnering with AWS and NVIDIA to accelerate the identification of personalized therapeutic targets.
HSBC partnered with Mistral AI to deploy self-hosted models for complex lending analysis, enabling teams to prototype software faster and launch hyper-personalized campaigns globally.
Atlassian embedded agents into Jira workflows using the Model Context Protocol (MCP), with one-third of AI operations now actively executing tasks ("writes") rather than just retrieving data.
Tool Spotlight
Your weekly briefing on tools that create competitive leverage
Deep workflow agents vs the unified workspace
Recently embedded agents directly into Jira workflows via the Model Context Protocol (MCP).
Best for: Engineering teams needing agents that live inside the ticket workflow.
Choose if you…
Prioritize deep context from your "Teamwork Graph" over generic chat.
Need agents to autonomously update status, draft code, or manage dependencies.
Want granular control over permissions within specific projects.
Recently launched "Super Agents" to handle end-to-end workflows across tasks and apps.
Best for: Operational leaders wanting one neural network connecting tasks, docs, and people.
Choose if you…
Want to replace fragmented tools with one AI layer that finds work across your stack.
Need to automate busy work like generating standups and progress updates instantly.
Value a unified platform where project and knowledge management live together.
3 other platforms to explore
Asana Intelligence, Linear, and Microsoft Copilot offer powerful solutions for strategic operations, streamlined software delivery, and enterprise-wide knowledge retrieval.
PEOPLE 👥
Meet the innovators turning bold ideas into real-world impact.
Transformation Champion
Karol Hausman raises $1B to give robots a brain
Industrial robots are precise but fragile. Move a box an inch, and the line stops. Karol Hausman, along with fellow computer science doctoral grads Yevgen Chebotar and Ryan Julian, left Google to solve this brittleness. Their startup, Physical Intelligence, just secured $1B to build a "general-purpose brain" for machines. Instead of hard-coding movements, their foundation model allows robots to learn tasks from experience. They are moving robotics from rigid scripts to adaptive intelligence, creating machines that finally understand the messy physical world. Read more
LOVE ❤️
Practical wisdom, growth tactics, and a must-read book that will challenge the way you think.
Diagnosing the execution gap
"All-in-one" platforms are a trap. You trade simplicity for control, becoming a hostage to your vendor's roadmap while superior AI tools remain out of reach.
Teams reject pilots to protect their current output. When a new tool threatens their daily quota, they default to the old workflow to keep shipping. This is rational economic behavior. If you don't de-risk the transition, they will block the roadmap to keep the lights on.
Three moves to close the value gap:
Audit the risk. Ask "What is the specific capital risk to your department if this pilot fails?"
Architect the role. Shift their KPI from "maintaining status quo" to "remediating workflow debt."
De-risk the pilot. Replace the permanent mandate with a reversible 90-day execution plan.
Get the full framework in my book, The LEAP Guide.
👉🏽 Reply to this email with "LEAP" for a free copy.
Transformative Reads
One book, handpicked from my conversations with friends, industry leaders, and tech innovators:
Rewired by Lamarre, Smaje, and Zemmel explains why transformations fail: companies buy software but keep legacy operating models. This is a technical manual for the hard work of scaling AI. It details the specific talent, data, and governance shifts required to escape pilot purgatory.
Perfect for: Leaders stuck in the gap between a successful pilot and a scalable business.
In Culture
We found the source of the latency, and it wasn't the database…
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Much Love,
Matt and the Future Works team
