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

👇 Intelligence Economy
Joined April 2008
Sameer Khan retweeted
1/4 AI can make the first answer better while making the second opinion less likely. A plausible recommendation creates gravity: once it is on the screen, independent views become reactions and alternatives start to look like objections.
1
1
39
Sameer Khan retweeted
Common advice says buy the platform first and fix the data later. That costs more, because agents act on whatever record they find. Why plants need two records: intelligenceeconomy.co/p/toy… Which would yours trust?
1
44
Sameer Khan retweeted
Most people read a bigger AI capex number as more capacity. Microsoft told investors in April that its 2026 capex of $190 billion includes $25 billion from higher component pricing. In your AI budget, how much of any increase is price and how much is capacity?
1
102
Most automation contracts spell out price and uptime. Few say who owns the raw data, derived data or site models, or whether you can keep running them after the contract ends. Latest: intelligenceeconomy.co/p/toy… Which would your last contract have given you?
31
Sameer Khan retweeted
1/4 AI rarely produces certainty. Organizations create it when they turn a probability into an action. A model may return 72% confidence. The workflow approves, denies, routes, or escalates.
1
1
55
1/4 AI can make the first answer better while making the second opinion less likely. A plausible recommendation creates gravity: once it is on the screen, independent views become reactions and alternatives start to look like objections.
1
1
39
3/4 For consequential choices, sequence matters: • Form views independently • Ask what would disprove the recommendation • Name the reversal trigger • Record the strongest minority case
1
9
4/4 The goal is not to slow every decision. It is to preserve option quality until the decision is ready to close. Where is first-answer gravity most dangerous: strategy, risk, hiring, capital allocation, or customer decisions?
9
Sameer Khan retweeted
The Manufacturing Leadership Council's July survey found 60% of manufacturers use half or less of their data, and only 42% verify its accuracy. The second worries me more. An agent acting on an unverified record repeats the error faster than a person would.
1
139
Sameer Khan retweeted
Bloomberg reported that Alphabet, Meta, Microsoft and Amazon hold nearly $2.4 trillion in commitments for data center leases, buildings, energy and equipment, some running for decades. Which of your AI commitments could you exit within two years?
1
101
Most people read a bigger AI capex number as more capacity. Microsoft told investors in April that its 2026 capex of $190 billion includes $25 billion from higher component pricing. In your AI budget, how much of any increase is price and how much is capacity?
1
102
Sameer Khan retweeted
1/4 AI can remove junior work faster than an organization redesigns how judgment is learned. That creates a productivity gain now—and a capability gap later.
1
1
72
Sameer Khan retweeted
Most plant AI conversations start with the model. They should start with the record. In a July Manufacturing Leadership Council survey, 60% used half or less of their data and 42% could verify its accuracy. An agent is only as right as its record.
1
1
159
The Manufacturing Leadership Council's July survey found 60% of manufacturers use half or less of their data, and only 42% verify its accuracy. The second worries me more. An agent acting on an unverified record repeats the error faster than a person would.
1
139
Sameer Khan retweeted
Common advice says wait for AI costs to fall before committing big money. That weakens when the scarce input is a grid connection, since the queue keeps moving. intelligenceeconomy.co/p/mus… Is waiting cheaper for your plan?
1
64
Common advice says buy the platform first and fix the data later. That costs more, because agents act on whatever record they find. Why plants need two records: intelligenceeconomy.co/p/toy… Which would yours trust?
1
44
1/4 AI rarely produces certainty. Organizations create it when they turn a probability into an action. A model may return 72% confidence. The workflow approves, denies, routes, or escalates.
1
1
55
3/4 The threshold is where risk appetite becomes operational. It decides which errors are tolerated, who bears the consequences, what gets escalated, and when human judgment enters. It is a policy decision.
1
25
4/4 Before deployment, name: • the threshold owner • the costlier error • consequence-based changes • the review trigger Don’t ask only, “Is the model accurate?” Ask, “Who decided when uncertainty was good enough to act?”
7