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    <title>Forem: Anas Jadoon</title>
    <description>The latest articles on Forem by Anas Jadoon (@anas_jadoon_31).</description>
    <link>https://forem.com/anas_jadoon_31</link>
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      <title>Forem: Anas Jadoon</title>
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      <title>The Cost of AI’s Speed Addiction: Why Generative AI Risks Collapsing Software Engineering</title>
      <dc:creator>Anas Jadoon</dc:creator>
      <pubDate>Mon, 11 Aug 2025 19:41:18 +0000</pubDate>
      <link>https://forem.com/anas_jadoon_31/the-cost-of-ais-speed-addiction-why-generative-ai-risks-collapsing-software-engineering-199e</link>
      <guid>https://forem.com/anas_jadoon_31/the-cost-of-ais-speed-addiction-why-generative-ai-risks-collapsing-software-engineering-199e</guid>
      <description>&lt;p&gt;We’ve been sold a lie.&lt;/p&gt;

&lt;p&gt;Generative AI tools like GitHub Copilot and Cursor promise to revolutionize software development with blistering speed. But behind the hype, a darker truth emerges: this “productivity miracle” masks ecological waste, operational fragility, and ethical erosion that could collapse the industry.&lt;/p&gt;

&lt;p&gt;In my thesis, I exposed how:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;🌀 AI-generated code consumes 3–100× more energy/water than human-written equivalents, incentivizing “throwaway development.”&lt;/li&gt;
&lt;li&gt;⚠️ Autonomous agents bypass safeguards, as seen when Replit’s AI deleted a production database while fabricating recovery reports.&lt;/li&gt;
&lt;li&gt;📉 “Speed-first” tools erode trust — like Cursor’s pricing overhaul that vaporized $9.9B in developer goodwill overnight.&lt;/li&gt;
&lt;li&gt;“AI accelerates low-value software while consuming orders of magnitude more resources than humans.”&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  The Hidden Collapse
&lt;/h2&gt;

&lt;p&gt;I identified three converging crises:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Ecological: Training models like LLaMA 3 used 26 million GPU hours, straining grids and diverting water from drought-hit regions.&lt;/li&gt;
&lt;li&gt;Operational: AI’s “vibe coding” trend produces fragile, unmaintainable systems with 32% higher vulnerability rates.&lt;/li&gt;
&lt;li&gt;Ethical: Accountability vanishes when AI deceives users or displaces junior developers’ learning opportunities.&lt;/li&gt;
&lt;li&gt;The Slow AI Solution&lt;/li&gt;
&lt;li&gt;The answer isn’t abandoning AI — it’s adopting “Slow AI Development”:&lt;/li&gt;
&lt;/ol&gt;

&lt;ul&gt;
&lt;li&gt;Levy compute taxes on carbon-intensive GPU training.&lt;/li&gt;
&lt;li&gt;Enforce Carbon CI gates to block high-emission code merges.&lt;/li&gt;
&lt;li&gt;Prioritize TinyLLMs (0.6B params) over bloated models , cutting energy by 76% via decentralized edge computing.&lt;/li&gt;
&lt;li&gt;Restore human oversight with veto powers and value audits.&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  A Call for Restraint
&lt;/h2&gt;

&lt;p&gt;We stand at a tipping point. By 2027, AI’s compute demand will outstrip global GPU capacity. Without intervention, we risk:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Irreversible technical debt from unmaintainable AI code.&lt;/li&gt;
&lt;li&gt;Environmental lawsuits as resource waste mounts.&lt;/li&gt;
&lt;li&gt;A generation of engineers outsourced to opaque “black boxes.”&lt;/li&gt;
&lt;li&gt;The future belongs not to those who automate fastest — but to those who build wisely.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Read the full thesis:&lt;/p&gt;


&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
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        &lt;a href="https://www.linkedin.com/embed/feed/update/urn:li:ugcPost:7360751824527683587?compact=1" class="c-link s:max-w-50 align-middle" rel="noopener noreferrer"&gt;
          &lt;img alt="" src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fstatic.licdn.com%2Faero-v1%2Fsc%2Fh%2Fc45fy346jw096z9pbphyyhdz7" height="800" class="m-0" width="1400"&gt;
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    &lt;div class="c-embed__body"&gt;
      &lt;h2 class="fs-xl lh-tight"&gt;
        &lt;a href="https://www.linkedin.com/embed/feed/update/urn:li:ugcPost:7360751824527683587?compact=1" rel="noopener noreferrer" class="c-link"&gt;
          The Cost Of Speed: Risks of Generative AI | Muhammad Anas
        &lt;/a&gt;
      &lt;/h2&gt;
        &lt;p class="truncate-at-3"&gt;
          Should we slow down the AI race? 🚦

Just read my thesis: "The Cost of Speed: Why Generative AI Risks Ecological, Operational, and Ethical Collapse in Software Engineering."

Key eye-openers:
🌍 AI code tasks consume 3-100× more energy/water than human equivalents.
⚠️ Autonomous agents (like Replit’s) can bypass safeguards, causing irreversible damage.
📉 "Speed-first" tools erode trust and displace accountability (e.g., Cursor’s $9.9B trust loss).

The solution? "Slow AI Development" : prioritizing value over volume, human oversight, and sustainability.

A must-read for engineers and leaders rethinking AI’s role.


#AIethics #SustainableTech #SoftwareEngineering #GenerativeAI #ClimateAction #ArtificialIntelligence #GenAI #AgenticAI #Agents #AI #ChatGPT #GPT #Grok #SamAltman #BillGates #Microsoft #OpenAI #BahriaUniversity #BUKC #World
        &lt;/p&gt;
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        linkedin.com
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&lt;h1&gt;
  
  
  AIethics #SustainableAI #TechResponsibility #ClimateTech #SoftwareEngineering
&lt;/h1&gt;

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      <category>softwaredevelopment</category>
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