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title: The Big Con of Agentic AI | daily.dev
description: Drawing a structural parallel between the management consulting industry and agentic AI, this piece argues that the same 'con' that allowed consultants to...
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# The Big Con of Agentic AI

**[Towards Data Science](https://daily.dev/sources/tds)** · 23 min read · 1 upvotes · 0 comments

## Summary

Drawing a structural parallel between the management consulting industry and agentic AI, this piece argues that the same 'con' that allowed consultants to extract value while eroding clients' internal capabilities is now playing out with AI — faster and at greater scale. At the individual level, studies show AI assistance impairs independent cognitive performance through hedonic adaptation and 'cognitive debt.' At the organizational level, subsidized AI pricing is driving headcount cuts that hollow out institutional memory, while token costs already exceed the value delivered. At the societal level, geopolitical concentration of AI infrastructure creates strategic dependencies that can be severed overnight, as illustrated by the U.S. government ordering Anthropic to suspend model access globally. The piece rejects both outright bans and uncritical adoption, proposing instead deliberate governance: humans retaining judgment and override capacity, organizations treating institutional memory as a strategic asset with multi-vendor diversification, and governments investing in open-weight models and enforceable human-in-the-loop standards.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/the-big-con-of-agentic-ai>

## Questions this post answers

### Why did the U.S. government order Anthropic to suspend access to its Claude models for foreign nationals in June 2026?

The U.S. government ordered Anthropic to suspend access to its most advanced models, referred to as Fable 5 and Mythos 5, for all foreign nationals in June 2026, citing national security concerns. Anthropic described the justification as 'verbal evidence of a narrow, non-universal' vulnerability and had to disable the models for all customers worldwide to ensure compliance, despite having publicly called for greater government AI oversight itself.

_Following abrupt access changes to frontier AI models is easier when daily.dev surfaces vendor and policy news as it breaks._

### Why did Microsoft cut back on internal AI coding license adoption in 2026?

Microsoft cut its internal AI coding licenses in 2026, roughly six months after encouraging company-wide adoption, citing spiraling costs. Similar cost blowouts hit other companies: Uber exhausted its annual AI coding budget in four months, and Salesforce expected to pay Anthropic approximately $300 million in 2026 alone, showing that agentic AI token consumption is outpacing falling per-token prices.

_Budgeting realistically for AI coding tools gets easier when daily.dev tracks real-world cost reports like these._

### What percentage of AI token spend actually produces user-facing value versus fixing AI-introduced bugs?

A survey of nearly 2,500 companies found that for every dollar spent on AI tokens, only about 18 cents generated user-facing value, while 44 cents went toward fixing bugs the AI systems themselves introduced. This suggests token spend on agentic AI often falls well short of delivering commensurate productivity gains for organizations.

_Weighing whether agentic AI spend pays off is simpler when daily.dev keeps such cost-benefit findings in view._

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---

Tags: [#agentic-ai](https://daily.dev/tags/agentic-ai), [#ai-governance](https://daily.dev/tags/ai-governance)

[View this post on daily.dev](https://daily.dev/posts/the-big-con-of-agentic-ai-j4yebcd4k)

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