At AINNA, we review the books of Malaysian SMEs who bought into the AI hype and now face a different reality. Once token usage, GPU time, cloud hosting and maintenance are booked as recurring opex rather than pilot experiments, many leadership teams slow or stop deployment because the numbers no longer justify the spend.
The real misallocation is defaulting to LLM inference for every workflow. Predictable, low-complexity tasks should sit on parsers, rule-based automation or detached systems where unit costs are fixed and auditable. AI should only draw budget when the measurable return clearly exceeds the variable cost.
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Bagian cloud hosting and maintenance ini yang bikin saya berpikir ulang.
Bookmarked, mostly for cloud hosting and maintenance.
First piece I have read that treats rule-based automation or detached systems honestly.
This is where low-complexity finally makes sense.
The numbers around AI should only draw budget make more sense than most posts I read.
Sent this to two people already. rule-based is why.
rule-based - that is the whole thing in one line.
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