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Opinion2026-07-05· 10 min read
AI Is the New Pesticide.
Great for the harvest, quietly hard on the soil. Pesticides boosted crop yields and then hollowed out the ground beneath them. Generative AI may be running the same play on human thinking.
Knowledge Workers Surveyed
0
Microsoft Research / CMU study
Essay Recall
0%
Of LLM users couldn't quote their own essay (MIT)
Concerned Workers
0%
Worry AI erodes critical thinking (Elsevier)
Translator Impact
0%
Report already losing work to AI
← Back to Global Tech SearchA miracle for the field,
What the early research
I'll be fair to
Use it deliberately,
The Analogy
A miracle for the field,
a debt on the soil.
My grandfather's generation was told a miracle was coming to the fields, and it was. The Green Revolution — high-yield seeds, irrigation, chemical fertilizers, and pesticides — genuinely saved lives. In many regions, pests used to wipe out 20–40% of a harvest; chemical control slashed that, and countries that had feared famine reached self-sufficiency. I don't want to romanticize the past. Hunger is worse than any trade-off.
But here's the part nobody put on the poster. After the initial surge, yields in several Green Revolution regions plateaued and then declined. The soil got “tired.” Farmers had to apply more chemicals just to stand still. The productivity was real. So was the long-term damage to the living system underneath it.
I keep thinking about that pattern as I watch us adopt generative AI. Because I think we're running the same play — a spectacular short-term yield boost applied to a living system we don't fully understand. Except this time the soil is the human mind.
The Green Revolution's Documented Timeline
Real, dated events — not a projection
1966
The Green Revolution reaches the Philippines
High-yield seeds, irrigation, and chemical inputs arrive — yields climb fast, and famine fears recede across South and Southeast Asia.
Early 1980s
Central Luzon rice yields peak
Documented agronomic studies show rice yields in this Philippine region topping out — then plateauing as soil health and pest resistance shift.
1980s–2000s
Yields plateau, inputs climb
Farmers apply more fertilizer and pesticide to hold the same output. Groundwater tables in intensively farmed regions begin measurable long-term decline.
Ongoing
Punjab's "cancer belt"
Parts of Punjab, India, see pesticide contamination linked closely enough to illness rates that the region earns the nickname locally and in health reporting.
Four Soil Tests
What the early research
is actually finding.
Soil test #1
Our critical thinking
A Microsoft Research / CMU study of 319 knowledge workers found higher confidence in GenAI correlates with less critical thinking — an 'atrophied and unprepared' judgment muscle when hard exceptions arrive. 81% of workers in a separate Elsevier survey share the worry.
Soil test #2
Our brains, measured directly
MIT Media Lab's EEG study of 54 essay-writers found the weakest brain connectivity in the AI-assisted group. 78% of that group couldn't quote a line from the essay they'd just 'written' — what the researchers call 'cognitive debt.'
Soil test #3
Homogenization of creativity
A 2024 Science Advances study found AI-assisted stories were rated individually more creative — but collectively more similar to each other. A monoculture effect: each of us a bit more polished, all of us a bit more alike.
Soil test #4
The people who grow the crops
CISAC projects music and audiovisual creators could see 24% and 21% of revenue at risk by 2028. A Society of Authors survey found 26% of illustrators and 36% of translators already losing work to AI.
Neural Connectivity While Writing
Conceptual illustration of MIT Media Lab's directional finding — a diagram, not a precise data chart
Brain only
+ Search engine
+ LLM assisted
Creator Revenue & Jobs at Risk
Sourced figures — CISAC/PMP Strategy 2024, Society of Authors 2024
0%
Concerned workers
Worry AI erodes critical thinking
0%
Couldn't recall
Their own AI-assisted essay
0%
Illustrators
Already lost work to AI
0%
Translators
Already lost work to AI
The Honest Counter-Argument
I'll be fair to
the other side.
A 2024–2025 Gallup analysis found little broad evidence, so far, that generative AI has reduced artists' overall earnings — some of the most AI-exposed creative occupations saw earnings roughly track less-exposed ones. History offers comfort too: photography didn't kill painting, and recorded music didn't kill live performance. Technology often shifts creative work upward rather than erasing it.
And the Microsoft/CMU study has its own hopeful footnote: people with high self-confidence — trust in their own judgment — kept thinking critically even while using AI. The tool doesn't have to atrophy you. But that outcome isn't automatic; it's a choice you have to make on every task.
So What Do We Actually Do?
Use it deliberately,
not reflexively.
The lesson of the Green Revolution isn't “chemicals are evil.” It's that we optimized ferociously for one number — yield — and ignored the system keeping it alive until the bill came due. The fix wasn't to starve; it was integrated, regenerative practice: rotate crops, feed the soil, use the powerful tool deliberately instead of reflexively.
The same logic applies to AI. Use it as an accelerant for work you understand, not a substitute for understanding. I wrote this piece with a search engine open and my own stubborn brain doing the arguing. I could have had a model draft it in thirty seconds. It would have been smoother, faster, and — I'm fairly sure — more forgettable. Some yield is worth the extra labor. I'd like to keep my soil.
Sources
- Lee et al., “The Impact of Generative AI on Critical Thinking,” Microsoft Research & Carnegie Mellon University, CHI 2025
- Elsevier, Insights 2024: Attitudes toward AI report
- Kosmyna et al., “Your Brain on ChatGPT: Accumulation of Cognitive Debt,” MIT Media Lab, 2025
- Doshi & Hauser, “Generative AI enhances individual creativity but reduces the collective diversity of novel content,” Science Advances, 2024
- Moon, Green & Kushlev, collective semantic diversity analysis, 2024
- CISAC / PMP Strategy, global economic study on AI and creators, December 2024
- Society of Authors survey, 2024
- Gallup, “AI Is Changing Creative Work, but the Arts Aren't Disappearing,” 2024–2025
- PNAS / Frontiers in Sustainable Food Systems — Green Revolution impacts and long-term limits
Written by Abhishek Kushwaha
Founder and writer at Global Tech Search, based in Kathmandu, Nepal. Covers AI, infrastructure, markets, and climate with sourced data and original analysis. More about the author →
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