Your AI spend is rising. The return isn't. Every Friday, 4DA gives CIOs the whole picture in four minutes: what happened, what it means from a distance, and the way forward.
A sample issue. The companies, figures and sources are invented.
Spend without returnContext 1 min
Acme, a European insurer, reports that its 400 developers ship twice as many changes since rolling out AI coding assistants in the spring. Its board now wants the same gain in every department.
Filed under Delivery and Pricing and spend
Sources
Spend without returnJoint decisions 1 min
In a survey of European CIOs, most report a higher AI budget than last year. Few could name the business outcome that budget was meant to change, or who owns it.
Filed under Pricing and spend and Governance
Sources
Where your context livesWhat partners won't say 1 min
A large business-suite vendor will include its new AI agents in current licences from January. The agents can read and act on data across the whole suite.
Filed under Agents, Applications and Sovereignty
Sources
Connecting the dots
Three suite vendors, one month, one move: AI is leaving the licence and going on the meter.
A sample of the format. The companies are invented.
12 Oct
Example Suite
Moves its AI agents from a per-seat licence to credits consumed per action.
Source: Example Suite newsroom the original
20 Oct
Example CRM
Ends unlimited AI use in its top tier; every call to its AI API now draws on a monthly allowance.
Source: Example CRM pricing notice the original
27 Oct
Example Cloud
Bills AI features in its business apps by consumption, metered per token and per agent run.
Source: Example Cloud blog the original
The pattern
What it means
The statement
Chances are your AI budget is becoming a utility bill: variable, hard to forecast, and owned by no one. A seat was a cost you negotiated once a year. A meter runs every day, while your context sits inside their platform and gets more expensive to move.
For the board
Which of our AI lines are metered, who watches each meter, and where is the ceiling?
Possible today
One analyst, no development team. The recording shows every step, including the two moments where a person had to decide.
A sample of the format.
Challenged, once a month
One idea everyone repeats, tested from a distance. The strongest version comes first, and sometimes the idea holds.
Start with pilots.
Verdict: fails, mostly
Pilots limit risk. A small team learns on a small scope, proves value and earns the budget to scale. For a CIO under scrutiny, that's prudent.
Pilots are scoped away from the messy context where the value is. They succeed in isolation and stall at scale. Chances are the pilot proved the tool and left the change untested.
Start small, but start inside a real decision with its real context. Then the pilot tests what you'll actually have to scale.
Before your next board meeting
Pick one AI line in your budget. Write down the decision it was meant to improve, and who owns it.
If nobody can, pause that spend until someone does. It may be the cheapest step you take this year.
The boardroom test. Nothing is published in 4DA unless a CIO could use it in their next board meeting.
Book a briefingThirty minutes on your own AI budget.
Four minutes before your week closes. Read it on your phone, forward it to your board, or bring it to Monday's meeting.
4DA is published by WLKNSN BV. The people behind it also run the AFD Institute, Moonbase and OnMarble. That’s our bias, stated up front.
news.fortheaiera
Acme, a European insurer, reports that its 400 developers ship twice as many changes since rolling out AI coding assistants in the spring.
Step backChances are they'll build the wrong things twice as fast, until they discover the context was insufficient.