Recently in No-Till Farmer’s sister publication Strip-Till Farmer, there was an article listing the benefits if all ‘degenerative tillage’ was converted to strip-till and it generated an interesting discussion about artificial intelligence, or “AI.” 

Ryan Nell started it off, then Monte Bottens jumped in by asking the AI app Grok, “What is the overall impact on soil loss, nutrient loss and yield should conventional tillage switch to strip-till? Let the no-till guys keep no-tilling.”

Grok responded: 

“Switching conventional tillage to strip-till on U.S. corn/soybean acres would cut soil erosion by 50-87% and nutrient runoff (esp. P & sediment) by similar margins, per USDA/university extension studies, thanks to 30-70% more surface residue and better infiltration. Yields hold steady or rise slightly long-term (often matching or beating chisel-plow systems) with fewer field passes and lower costs. Soil health improves without hurting no-till acres. Solid win for Conservation.”

Wow. Impressive. We like strip-till. But suppose we ask the same question for switching to continuous no-till with cover crops?

I asked Gemini, an AI tool similar to Grok, and it said: 

“If conventional tillage is ‘degenerative,’ then continuous no-till combined with cover crops is the ‘regenerative’ gold standard. While strip-till is a great bridge for some, going full no-till with covers creates a unique synergy that changes the physics and biology of the field.”

Here is the breakdown of the impact when you stack no-till and cover crops together:

“1. Soil Loss: In a conventional system, the soil is structurally ‘shattered.’ When you add cover crops to a no-till system, you aren't just protecting the surface; you are rebuilding the ‘glue’ that holds it together. Conventional tillage can lose 10–20 tons of soil per acre annually. Continuous no-till with cover crops can reduce this by over 95%.

“Impact: Cover crop roots act as biological rebar, while the no-till surface mulch prevents the ‘sealing’ effect of raindrops that causes sheet erosion. You stop losing your most productive asset (topsoil) to the ditch.

“2. Nutrient Loss: Biological Scavenging. The biggest ‘leak’ in conventional systems is nitrogen leaching and phosphorus runoff. This combo plugs those holes.

Nitrogen Scavenging: Cover crops (especially grasses like cereal rye) act as a ‘biological vault,’ soaking up leftover N in the fall that would otherwise leach into groundwater. They release this N back to the soil as they decompose in the spring. While no-till can cause P to concentrate at the surface (stratification), the living roots of cover crops help move those nutrients deeper into the profile and prevent them from washing away with sediment. Studies show cover crops can reduce nitrate leaching by 60% to 70%. You aren't just saving the environment; you're keeping the fertilizer you paid for on your own acres.

“3. Yield: The ‘Resilience’ Dividend. The strip-till guys often keep tilling because they want a warm, dry seedbed for fast emergence. In a continuous no-till/cover crop system, your yield story changes from ‘peak performance’ to ‘system resilience.’ In the transition, you may see a 3 to 5-year adjustment period where yields might dip slightly as soil biology wakes up. However, long-term studies (15+ years) show that no-till often out-yields conventional tillage, especially in extreme weather years. In drought years, because soil organic matter (SOM) increases and infiltration rates skyrocket, your ‘bucket’ is bigger. In a dry August, the no-till/cover crop field stays green while the conventional field fires up.

Impact: While conventional yields are more consistent in ‘perfect’ years, regenerative systems provide higher net profitability due to lower fuel/labor/machinery costs and superior performance during droughts or floods.”

That was Gemini’s answer.

So, AI gives a slight advantage to continuous no-till and cover crops over strip-till. 

We do know for sure both are good systems, far better than conventional tillage, and that became apparent many moons ago — before AI or even the Internet came to fruition.