AI's high cost hinders profit sharing and business strength

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 1 source

The author argues that the high cost of developing and deploying AI is a fundamental issue, preventing companies from sharing profits or even categorizing AI as a strong standalone business. This suggests that current AI business models may not be sustainable or profitable enough to warrant significant investment or widespread adoption without further cost reductions. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT The high cost of AI development and deployment may limit its widespread adoption and profitability, suggesting a need for more efficient business models.

RANK_REASON The cluster contains an opinion piece discussing the economic viability of AI.

Read on Mastodon — fosstodon.org →

COVERAGE [1]

Mastodon — fosstodon.org TIER_1 · [email protected] · 2026-05-20 05:33

"And it all comes back to a very simple point: # AI is too expensive. If the margins were good, they’d be sharing the margins. If the revenues were good, they’d

"And it all comes back to a very simple point: # AI is too expensive. If the margins were good, they’d be sharing the margins. If the revenues were good, they’d be sharing the revenues (and no, run rates aren’t revenues). If the business was strong, it would be a separate categor…

LINKS wheresyoured.at/ai-is-too-expensive

COVERAGE [1]

"And it all comes back to a very simple point: # AI is too expensive. If the margins were good, they’d be sharing the margins. If the revenues were good, they’d

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