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SpaceX opened at $1.77T in the largest IPO ever, KPMG retracted its AI report over hallucinated citations, and Mistral is raising €3B to crack enterprise model lock-in. Buying the tools is the easy part. Only 11% of tech leaders have the agent foundation to execute, and they run 16x more AI at 4x lower spend.

"SaaS business products are basically databases with some business logic. When business logic is all going to agents which can work with multiple possible such databases, those will be possible to swap much more easily than before."

— Satya Nadella, CEO, Microsoft

In today's lineup: 

Robots

  • CEOs are pushing AI agents. Only 11% of tech leaders are ready.

  • Real ROI from Gen AI

  • The real-time AI budget most CIOs still don't have

People

  • Jena Holtberg-Benge turns AI pilots into production systems at AGCO

Love

  • The Challenger structure hiding inside every AI go-live

  • Antifragile by Nassim Nicholas Taleb

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

CEOs are pushing AI agents. Only 11% of tech leaders are ready.

A new IBM Institute for Business Value study of 2,000 technology executives finds just 11% ready for the AI agent surge their CEOs are demanding, even as 80% report that mandate from the top.

The problem is the foundation. Organizations that engineer governance into their infrastructure deploy 16x more agents at 4x lower AI spend with 18% higher margins.

Three moves the 11% make:

  • Map lock-in exposure across infrastructure, data, and models before approving new deployments

  • Require every agent to be observable, stoppable, and owned before it reaches production

  • Separate AI spend: TCO rigor for operational AI, portfolio logic for strategic bets

Real ROI from Gen AI

How human-centric AI delivers business results

  • Commonwealth Bank built an agentic fraud detection AI on Snowflake that autonomously cut fraud losses by over 20% in the first half of 2026 while generating 75% of its card fraud detection rules without human prompting.

  • TotalEnergies piloted Honeywell's Experion Operations Assistant at its Port Arthur refinery to predict control-room alarms 5-10 minutes before they occurred, preventing unplanned downtime without adding headcount.

  • Houston Methodist rolled out an ambient AI documentation platform enterprise-wide, cutting clinician charting time by 40% and returning 27% more face time with patients across every specialty.

Tool Spotlight

Your weekly briefing on tools that create competitive leverage

The real-time AI budget most CIOs still don't have

Earlier this month, CloudZero launched its Financial Control Plane for AI: call-by-call attribution that maps every dollar of AI spend to a customer, product, or feature. Only 14% of CFOs can currently demonstrate clear AI ROI, and 80% of companies miss AI spend forecasts by 25% or more.

Best for: Finance and IT leaders who need to show cost-per-outcome at the use-case level, not just the department level.

Choose if you...

  • Need to attribute AI spend to specific customers, products, or revenue streams.

  • Are managing AI pilots across multiple teams and need a single ROI dashboard.

  • Have a CFO demanding proof of AI return before approving the next budget cycle.

Best for: Engineering and DevOps leaders who need to connect AI spend to code shipped, not just infrastructure consumed.

Choose if you...

  • Are running AI coding agents (Claude Code, Cursor, Copilot) and need to track cost vs code merged.

  • Manage multi-cloud AI infrastructure across AWS Bedrock, Google Vertex, and Anthropic and need unified visibility.

  • Need joint IT-Finance accountability on which AI bets are delivering and which should be exited.

3 other tools to explore

  • Finout suits mid-market teams managing Snowflake and OpenAI costs in a single KPI view.

  • Vantage is the open-source-friendly option for engineering-led FinOps.

  • Kubecost covers Kubernetes-native teams that need container-level AI cost attribution.

PEOPLE 👥

Meet the innovators turning bold ideas into real-world impact.

Transformation Champion

Jena Holtberg-Benge turns AI pilots into production systems at AGCO

Over two decades in agricultural manufacturing and digital transformation. Earlier this year, AGCO Corporation promoted her to SVP & Chief Digital & Information Officer, charged with scaling AI-led transformations across one of the world's largest agricultural equipment companies. Her focus: the data and governance infrastructure that turns AI pilots into production-ready systems for AGCO's global network of dealers and farmers.

LOVE ❤️

Practical wisdom, growth tactics, and a must-read book that will challenge the way you think.

The Challenger structure hiding inside every AI go-live

Roger Boisjoly flagged the O-ring failure seven months before Challenger. The engineers knew. The launch happened anyway because the people with trench wisdom weren't in the decision room.

Every AI go-live carries this structure. Someone on the ops team knows the model will break in production. Someone in engineering has seen the edge cases. The go-live date gets locked regardless.

Before your next launch, answer two questions: who holds the trench wisdom, and do they have the authority to stop it?

Transformative Reads

One book, handpicked from my conversations with friends, industry leaders, and tech innovators:

In Antifragile: Things That Gain from Disorder, Nassim Nicholas Taleb argues that the highest-performing systems don't resist volatility. They're designed to gain from it. For CIOs scaling AI agents across unstable infrastructure: robustness is not the goal. Optionality is.

Perfect for: IT leaders redesigning infrastructure for machine-speed change, and executives managing AI investments with short model lifecycles and asymmetric risk.

In Culture

Approved. Launched. Celebrated. Governed... next quarter.


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Much Love,
Matt and the Future Works team

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