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👇 Intelligence Economy
Joined April 2008
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The 6,000 number in this week's IBM and Microsoft launch is the least useful part of it. Imagine Enterprise comes with more than 6,000 prebuilt AI agents and assets from IBM Consulting. I would ask how many have run at a second client.
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Sameer Khan retweeted
1/4 AI teams can ship improvements faster than the business can form a stable way of working.
That sounds like progress. It can become a hidden source of operating drag.
ALT Executive infographic titled The Operating Cadence Gap. A fast AI release cycle of Update, Deploy, Update again interrupts a slower workflow learning cycle of Train, Observe, Measure, Adjust, creating no stable baseline. Decision rule: Govern release cadence by workflow absorption—not feature velocity.
Sameer Khan retweeted
Big tech is on pace for $803B to $828B in 2026 capital spending, per a Business Insider tally of Q3 reports. That cost has to be earned back, and enterprise customers are a likely source. Who in your company owns the answer when that bill arrives?
Sameer Khan retweeted
Toyota kept its 500 apps and changed the data layer underneath them. I think replacing every old system is the costly mistake. Which system on your list only needed better data? Full argument: intelligenceeconomy.co/p/toy…
Sameer Khan retweeted
Most AI plans start with the model. The harder question is which record wins when two systems disagree about the same part. Toyota kept 500 apps and rebuilt the data layer under them. intelligenceeconomy.co/p/toy…
1/4 AI adoption asks employees to contribute the knowledge that may redesign their own roles.
That creates a quieter implementation problem than resistance to technology.
ALT Executive infographic titled The Adoption Bargain. The enterprise asks employees for workflow knowledge, edge cases, corrections, and judgment. Employees need role clarity, learning opportunity, shared benefit, and real recourse. Takeaway: Make the exchange explicit, not merely the rollout.
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3/4 If people cannot see how the gain changes workload, decision rights, career paths or recognition, withholding context can be rational.
The model may be funded. The operating knowledge is still voluntary.
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Sameer Khan retweeted
Two plants can report downtime and still measure different things. One counts a stop after fifteen minutes, the other after five. Most scaling plans assume a good pilot number travels. The second plant reuses a result only if it measures the same thing.
Public cases rarely show what the second plant cost. Deloitte's 2026 survey found about one in five AI use cases scaled across sites. Ask for that number before funding the first. intelligenceeconomy.co/p/uni…
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Sameer Khan retweeted
Contrarian take: an AI agent at a plant should not write anything back to the process on day one. Start in shadow mode. Who at your site could stop a bad recommendation today? intelligenceeconomy.co/p/uni…
Sameer Khan retweeted
Most AI pilots are scoped to a single asset. If you had to hand the second plant one thing, would it be the data definitions, the approvals, or the rollback test? Latest post: intelligenceeconomy.co/p/uni…
Sameer Khan retweeted
Bloomberg reports AI demand could triple the US power equipment market to as much as $65 billion. That puts electrical gear on the critical path next to the chips. Does your AI roadmap name who orders it and how long it takes to arrive?
Contrarian take: an AI agent at a plant should not write anything back to the process on day one. Start in shadow mode. Who at your site could stop a bad recommendation today? intelligenceeconomy.co/p/uni…
Sameer Khan retweeted
Deloitte surveyed 140+ manufacturers in 2026: 84% report measurable value from AI in operations, but about one in five use cases scaled consistently across sites. How many of your wins have been repeated at a second site?
Bloomberg reports AI demand could triple the US power equipment market to as much as $65 billion. That puts electrical gear on the critical path next to the chips. Does your AI roadmap name who orders it and how long it takes to arrive?
Sameer Khan retweeted
A pilot that works at one plant has proven less than most roadmaps assume. The first asset should leave behind shared definitions, a record of what the system recommended, and one named owner. The next site should be able to start from all three.
Two plants can report downtime and still measure different things. One counts a stop after fifteen minutes, the other after five. Most scaling plans assume a good pilot number travels. The second plant reuses a result only if it measures the same thing.
Most AI pilots are scoped to a single asset. If you had to hand the second plant one thing, would it be the data definitions, the approvals, or the rollback test? Latest post: intelligenceeconomy.co/p/uni…