AI's high costs and risks questioned amid lack of proven ROI

By PulseAugur Editorial · [1 sources] · 2026-06-06 05:46

The current phase of AI development, particularly agentic LLMs, is criticized for its high costs in terms of money, water, and energy usage. It also introduces risks like vendor lock-in, regulatory challenges, and system vulnerabilities, while demanding significant data quality and processes. Despite these drawbacks, AI is often prioritized as a business objective without a clear return on investment, and still requires human accountability. AI

IMPACT Raises critical questions about the current AI development trajectory and its business justification.

RANK_REASON The item is an opinion piece questioning the current state and business priority of AI.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-06-06 05:46

So… # AI (in the current # agentic LLM based bs phase) costs more than people Uses more water than people Uses more energy than people Causes vendor lock in and

So… # AI (in the current # agentic LLM based bs phase) costs more than people Uses more water than people Uses more energy than people Causes vendor lock in and opex risk Causes regulatory risk Creates more vulnerable systems Causes observability collapse Pushes the price of othe…

COVERAGE [1]

So… # AI (in the current # agentic LLM based bs phase) costs more than people Uses more water than people Uses more energy than people Causes vendor lock in and

RELATED ENTITIES

RELATED TOPICS