AI's Biggest Winners Have the Lowest Margins
- Source
- x.com
- Author
- Daniel Kornum
- Date
Context
For a business earning little profit on each sale, reducing administrative work could materially affect earnings. Daniel Kornum, whose firm sells AI deployments to such businesses, argues that AI deployments should target coordination inside existing workflows. Kornum's essay describes invoice handling as an example: extract the information, match it to a purchase order, prepare approval and send exceptions to someone who can decide.
The proposed advantage is that savings need not depend on employees remembering to open a separate AI application. Process owners would still be able to pause the workflow or intervene. Whether this improves profit depends on the savings actually achieved and retained; the essay's margin arithmetic illustrates the opportunity rather than measuring a general result.
- At a 3% margin, a cost reduction under 1% raises profit by more than 25%. The same efficiency gain at a 30%-margin software company barely moves the business, which is why thin margins are where AI arithmetic gets violent.
- Commoditized businesses are price takers — the market sets the price, not the company — so cost is the only lever they actually control. That is what makes an internal cost attack strategic rather than housekeeping.
- Most enterprise AI assumes employees will adopt a new tool and use it correctly. That assumption breaks hardest in trucking, manufacturing and field service, so the value has to arrive without asking the workforce to change how it works.
“A business running at 3% margins is different. Even a <1% cost reduction can lead to >25% profit increase.”
“The providers who solve this will build billion-dollar companies – and the businesses they transform will be the ones that escape the margin trap first.”
“The problem is that the companies with the most to gain from AI are often the least able to adopt it”
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