What the news means for your return on AI.
Our take on the stories and trends we track at ReturnOnAI.ai, plus news and articles from the Jetson team.
Read the daily publication at ReturnOnAI.aiTop AI adopters redesign the work, not just the tools
Few CEOs see measurable AI revenue gains. The companies that do are redesigning workflows and decision rights instead of layering AI on top.
Accountability for AI is moving into the executive suite
CFOs and Chief AI Officers increasingly own AI outcomes. The challenge is converting productivity gains into profit without the baselines to prove it.
Jetson named a Certified Claude Partner by Anthropic
Anthropic has named Jetson a Certified Claude Partner based on our deep technical expertise and track record of successful engagements.
Read moreAI returns are real for companies that define the payoff first
BCG measures a 13.8% return on GenAI and AI agents this year, but only for organizations that set ROI criteria before they deploy.
Fix the workflow before you automate it
AI deployments are failing where companies automate broken processes. The returns are going to firms that fix the process and the systems first.
How widely you deploy AI doesn’t determine what it returns
Most of the Fortune 500 runs agentic AI, but only about a third of firms see it lift EBIT. Architecture and process fit make the difference.
Alex Southworth and Chitra Thankaswamy join Jetson Collective as advisors
Two leaders with deep experience in AI and go-to-market transformation, one as a consultant to B2B companies and one as a Fortune 50 CMO, join the Jetson advisory bench.
Reporting AI returns isn’t the same as measuring them
Most firms now say AI is paying off. Far fewer can quantify it, and very few can tie it to profit.
Point AI at high-volume, rules-bound work first
Scattered pilots are stalling B2B revenue growth. The largest efficiency gains are coming from contract, compliance and reconciliation work.
Define the business goal before you buy the AI tool
Banks that set business goals before buying AI see better returns. Half of enterprises already running AI in production still can’t prove ROI.
Governance and cost control now decide which AI projects reach production
Most stalled AI programs aren’t failing on technology. They’re failing on governance gaps, surprise costs and experts who drop out before launch.
Early AI returns are common. The capacity to scale them is not.
Three-quarters of enterprises report AI returns, but only a small fraction have the data, leadership and training in place to grow them.
AI spend is outrunning AI returns, and data readiness is the reason
For a second straight year, most enterprises report AI returns lagging spend. The cause is usually upstream of the AI itself.
Narrow AI deployments are beating broad rollouts
The week’s clearest wins came from small, specific use cases. The broad rollouts mostly produced costs, supervision time and work people can’t defend.
The return on AI is going to firms that stopped piloting
This week’s evidence points one way: companies running AI as a production system are compounding margin gains, while the rest are still testing.
The Dominant Emotion in Enterprise AI Isn't Excitement – It's Fear
We analyzed 9,648 online signals from people in the middle of enterprise AI transformations. The dominant emotion isn't excitement – it's fear. Here's what that means for leaders, and why strategy (not tooling) is the real unlock.
Read moreDynamic Addressable Segments: Moving Beyond Static Personas
Demographics and static personas were outdated the moment they were published. Jetson's Dynamic Addressable Segments (DAS) start with real-time behavioral signals, clustering them into audiences you can actually reach, message, and measure.
Read moreIntroducing Jetson GEO: Be Part of the Answer, or Be Invisible
Today we're officially launching Jetson GEO – a solution that helps clients understand how AI engines see, cite, and recommend their brands, and execute the strategies to show up where decisions are being made.
Read moreThe Code Word That Stuck
Every company starts with an idea. Ours started with a code word. "Jetson" was meant as a placeholder – but it earned its place, because it captures a mindset: marketing shouldn't be incremental, it should be transformative.
Read moreTalk with a Jetson Fractional AI Leader.
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