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Sameer Khan

@SameerKhan

Writing and Building Intelligence Economy | Grew Startups from zero to $1M+ | Fighting Cyber Crime | Join https://nitter.cf/t.co/mMbDcbJxbp

 👇 Intelligence Economy
intelligenceeconomy.co
Joined April 2008
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Photo by Sameer Khan (@SameerKhan)Photo by Sameer Khan (@SameerKhan)Photo by Sameer Khan (@SameerKhan)Photo by Sameer Khan (@SameerKhan)Photo by Sameer Khan (@SameerKhan)Photo by Sameer Khan (@SameerKhan)Photo by Sameer Khan (@SameerKhan)Photo by Sameer Khan (@SameerKhan)Photo by Sameer Khan (@SameerKhan)Photo by Sameer Khan (@SameerKhan)
What Everyone Is Missing About The SpaceX IPO nitter.cf/i/broadcasts/1XxyggLED…
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Sameer Khan

What Everyone Is Missing About The SpaceX IPO

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Sameer Khan
@SameerKhan8h
Bloomberg reports Apple cut employee AI budgets in a cost control push while still expanding AI use. Usage caps are now a management decision. Who in your company owns the AI usage number, and how often do they review it?
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If your automation contract ended tomorrow, could you keep running the models built on your site data? Four data rights worth checking before you sign: intelligenceeconomy.co/p/toy…
Toyota Kept 500 Apps. What Changed Underneath Them?

Toyota Kept 500 Apps. What Changed Underneath Them?

Its operational data layer offers a clue to the ERP’s next role

intelligenceeconomy.co
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@SameerKhanNov 5
1/4 The better AI handles normal operations, the less often people practice taking over. That sounds like success. It can also create a takeover gap.
The Takeover Gap infographic: automation coverage rises while human practice declines before a rare failure, leading to a four-step takeover under load—detect, diagnose, act, recover. Decision rule: practice the handoff before you need it.

ALT The Takeover Gap infographic: automation coverage rises while human practice declines before a rare failure, leading to a four-step takeover under load—detect, diagnose, act, recover. Decision rule: practice the handoff before you need it.

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1/4 AI can accelerate every task in a workflow and still leave the end-to-end outcome slow. The constraint often moves from task execution to handoff design.
Executive infographic titled The Handoff Tax. Four AI-accelerated stages—Intake, Analysis, Approval, and Execution—are connected by narrow gates labeled Context, Authority, and Accountability. Takeaway: Redesign the boundary—not only the task.

ALT Executive infographic titled The Handoff Tax. Four AI-accelerated stages—Intake, Analysis, Approval, and Execution—are connected by narrow gates labeled Context, Authority, and Accountability. Takeaway: Redesign the boundary—not only the task.

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3/4 Local productivity gains do not automatically become cycle-time gains. Map the full outcome: • where context is re-entered • where permission resets • where ownership becomes ambiguous • where people wait for other people
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4/4 A useful test: if every step became materially faster tomorrow, which handoff would still control the outcome? In your most important AI workflow, is the limiting factor model capability, data access, decision rights, or cross-functional ownership?
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@SameerKhan13h
Most AI success numbers measure the work around the system. Toyota's reported 97% cut in tag setup time comes from a vendor hosted talk and covers integration effort. Before you trust any such number, ask what was actually measured.
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Welcome to our live show! nitter.cf/i/broadcasts/2aWLMVjMg…
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Sameer Khan

Welcome to our live show!

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Bloomberg reports Apple cut employee AI budgets in a cost control push while still expanding AI use. Usage caps are now a management decision. Who in your company owns the AI usage number, and how often do they review it?
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Sameer Khan
@SameerKhanOct 30
A Coalition for a Prosperous America analysis: US utilities imported 8,000+ high-power transformers from China in 2025, up from under 1,500 in 2022. Chip rules got the headlines. Which of your AI timelines depends on equipment you have never traced?
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@SameerKhanOct 30
Most leaders negotiate automation contracts on price and uptime. The clauses that matter cover who owns the data and site models, and what continues after the contract ends. Who reviews those? intelligenceeconomy.co/p/toy…
Toyota Kept 500 Apps. What Changed Underneath Them?

Toyota Kept 500 Apps. What Changed Underneath Them?

Its operational data layer offers a clue to the ERP’s next role

intelligenceeconomy.co
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Sameer Khan retweeted
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Sameer Khan
@SameerKhanOct 30
Most enterprises treat chip export controls as the geopolitical risk in AI. The exposed layer sits lower, in the power equipment that has to arrive before any chip can run. Most AI risk registers do not list it.
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Most AI success numbers measure the work around the system. Toyota's reported 97% cut in tag setup time comes from a vendor hosted talk and covers integration effort. Before you trust any such number, ask what was actually measured.
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Sameer Khan
@SameerKhanNov 5
When two systems disagree about the same record, who has the final say in your organization today? A) The IT or data team B) The business owner C) Whoever escalates loudest D) Nobody has decided yet
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@SameerKhanNov 4
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.
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.

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.

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1/4 The better AI handles normal operations, the less often people practice taking over. That sounds like success. It can also create a takeover gap.
The Takeover Gap infographic: automation coverage rises while human practice declines before a rare failure, leading to a four-step takeover under load—detect, diagnose, act, recover. Decision rule: practice the handoff before you need it.

ALT The Takeover Gap infographic: automation coverage rises while human practice declines before a rare failure, leading to a four-step takeover under load—detect, diagnose, act, recover. Decision rule: practice the handoff before you need it.

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3/4 For every consequential AI workflow, leaders should know: • what triggers human takeover • who can intervene • what context survives the handoff • how often the recovery path is practiced
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4/4 A human-in-the-loop control is only as real as the human’s ability to use it under pressure. The question is not only, “How much can the AI handle?” It is, “When it cannot, are we ready?” Harder problem: detecting the handoff, or executing it?
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