252. Three key Technologies that will transform Food and Agriculture, plus a bonus one

Posted on November 20, 2025 by Christophe Pelletier

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Of all new technologies being developed, I can see three main ones that will dominate the food and agriculture (and most other sectors as well) scene in the years to come. As usual, I will not make a catalogue of technologies, companies or investment amounts. If you are interested, just ask any AI to produce a full report and you will get it in less than a minute. This is not what really matters. What matters is which technologies will get traction, which ones will be adopted and which ones will actually solve problems (see my previous post). The three areas of interest I have in mind are: artificial intelligence, robotics and gene technologies, and I will add a bonus fourth category at the end of the article. The latter is often overlooked, yet so important.

Artificial intelligence

Well, this one is not really original but AI is here. It is evolving and it is here to stay. It will bring many changes. Some will be good, others maybe not so much, but we are going to have to live with it. So, I will not be listing all the areas where AI will be used. Once again, use AI to give a full report. You can also do a search on this website to find all my articles about AI or look at my YouTube playlist about AI, too.

Instead, let’s review areas that are important to improve. AI was, perhaps still is, the missing link in digital food and agriculture. In my first book, published in 2010, I was already presenting the possibilities of having farming equipment units that would interact together. I foresaw this age of automation as being about building a nervous system. Until recently, the nervous system was still the human operator’s, because the previous age of mechanization was about giving the operator additional muscle, mostly in the form of mechanical horse power. It was replacing the legs and arms, if you wish. The digital age is giving the operator additional information processing abilities, and changing the relative functions of human and machines completely. All the data-collecting devices, such as drones, sensors, satellites and so on, would be extensions of senses. They can see, they can hear, they can smell, they can “feel” and be sure they can taste, too. But the one thing was missing with these devices, even from an IoT perspective were the synapses. That is what AI is. It makes data and information flow back and forth between all the devices, and the operator. It all sounds exciting, indeed. To quote the late French neurobiologist Henri Laborit, the purpose of a nervous system is not to think, it is there to act. I believe this is quite true for AI, too.

Yet, let’s not forget one thing: AI is not intelligent as such. It follows a mechanical structure. It looks like intelligence because it is so fast, actually faster than a human being, that it seems “alive”. That is a mistake we should not make. At least today. Let’s use AI for what it is today: an amazing assistant. As an assistant, it will do wonders. Like a speaker said in a presentation I was attending earlier this year: “AI is like having Einstein tied up in your basement”. That is quite a good comparison. The speaker in question is Steve Lerch. If you need someone to present you practical aspects of AI in an enticing manner and how it will help you add value to you customers, he is the person to have. The key is indeed to add value. It benefits your customers, and as a result it benefits you, too. To get there, it is necessary to know what to do with AI. This is where we need to move further.

First of all, proper training of operators is essential. I always say that new technologies and new tools need to come with a user’s manual. Of course, it can be fun to experiment to try to find out what you can do with the new toy, but that can be rather time consuming and the costs of mistakes along the way can end up being rather high. A well-prepared and well-structured training is an absolute requirement. Not only will it speed up the learning process but the quality of the training is where you can increase the desire to adopt and use the new technology. Playing with the toy is fun but just as it is always the case with toys, boredom or frustration happen fast and the toy is abandoned just a few days after Christmas, if you see what I mean.

Other area of improvement is the user friendliness. Systems like ChatGPT require prompting, and that part can be where the difficulties arise. Prompting still is challenging for many users and that can lead to frustration. Prompting needs to be more like instructions the user would ask another person (the assistant feel). And just like a human assistant, AI needs to ask questions if the instructions are too vague or unclear. Interactive is the key for an effective AI assistant, and for good results. It should be voice-activated and not just a typing exercise, people are less comfortable with the latter. Further, routine AI activities should be shaped as a menu with just buttons to push. Only then, it will become attractive.

A third area of work that is needed for AI is trust. It is a powerful tool and perhaps a little too much so. It can serve for good but it can also serve to mislead, deceive, destabilize or for criminal activities. AI needs to support critical thinking, which of course requires that users dispose of some themselves.

Beyond those issues, a number of other challenges will arise from the use of AI. One of them is to sort out who owns the data, who can use it and who cannot, or just even who can access the data and who cannot. Another challenge, which I mentioned above is crime. What happens is someone hacks the data and either takes it hostage, deletes it or even alters it? What would happen if food producers are suddenly unable to make decisions or even perform any work because of a malafide intrusion? We need to think quite seriously about this because the consequences could be rather devastating. I wish I heard more about the issue of criminal interference with AI than I do. Another, major, issue to address for the future is the current levels of energy and water use that AI requires. Can we afford AI altogether, or will it have to be “rationed”? What will be its impact on the environment and essential resources and what is the plan forward? Do we want some eccentric billionaires to own and run nuclear plants for their own AI platforms? A study from the University of Bonn, Germany had shown that all the data collected and used for crop productions and all the stakeholders of the value chain were stored by three companies: Microsoft, Google and Amazon. This shows the potential vulnerability and dependence of the entire food chain. How will we deal with that, too?

In the end, let’s not forget that technologies are not living creatures, although some like to think so or wish they were. Technologies are here to serve humans. We need a clear purpose, show some serious leadership about technology and not forget that competence and critical thinking will never be liabilities. They are the assets that will feed success.

Robotics

AI is the “backbone” of the new nervous system. It is part of an evolution, even though it is referred to as a revolution. Just like in biological evolution, any change, any mutation also brings a modification of the organism. The muscle I was mentioning earlier will just change. It is a “natural” consequence. This new nervous system is going to come along with the apparitions of new “organisms”. From that perspective, it is obvious that robotics are a natural extension of AI. We are starting to see this already. The recent plans of Amazon to eliminate 75% of its workforce by 2033, meaning elimination 600,000 US jobs show that AI and robotics will affect very strongly how businesses are run. There is no doubt in my mind that food and agriculture will also use more and more robots in the future, thanks to AI.

For agriculture, it might be as much of a new business model as it will be about the necessity to replace an increasingly difficult to find workforce. The causes may be many. Season work relies a lot on immigration and policies are making this more difficult. The number of farmers that are going to retire within a decade is actually rather scary and someone -or something- is going to have to do the job to feed the population.

So, how will robotics fit in? We can look at it from different angles. First, an improving AI will make robots more efficient and more cost-effective than now. The cost of robots and their payback time have been a disadvantage for the adoption of robotics in many areas of food and agriculture. If the economics change, expect to see the sector of robotics to make some serious progress. Secondly, the Amazon “effect” of going AI and robots will stimulate other sectors to look at their respective futures. Assuming that Amazon is successful, it will serve as examples in other industries. You can count on that. Thirdly, and also thanks to AI, the design of robots is going to change and I expect that future robots will be more nimble and easier to operate, and at a lower cost, too.

Gene technologies

Gene technologies certainly offer very interesting possibilities but the perception from the general public can be difficult. Genes are a sensitive topic and it does not take much to have fear blurry the conversation. Most of it has to do with the early beginnings of genetically modified organisms (GMO), in particular transferring a gene from one species to another. It did not need much to have GMOs associated with the idea of Frankenstein. In the food sector, the concept of Frankenfoods was born. Then came the Roundup-ready crops and the Bt-resistant crops which became major issues and still are today. The problem was not just about technical aspects of GMOs. The main player, Monsanto, just happened to be a terrible ambassador for genetic engineering. There is no need to pretend the contrary.

Anyway. the world has moved on, and so has genetic engineering. Just like I said about AI, if you want a catalogue of applications, just ask AI to provide you with a full report. Here I just want to browse through the scope of possible applications.

Since the beginning of selection of plants and animals by farmers, the focus was always to select the best performing individuals in a particular context. With biology, everything is relative. Some varieties or breeds may do well in certain environmental conditions and poorly in others. That was true in the early days of genetics and it still is true today.

Genetics are still a key part of selection and development of better plants and animals, as well as many other forms of life, such as microorganisms, but genetics is only half the equation. They are about genetic potential. The trick is to work in conditions that allow that potential to express itself to its maximum, if possible. Of course, there are many factors that can influence the outcome. Sometimes, conditions are positive, sometimes they are negative. Today, the challenge is also to at least minimize the impact of negative conditions so that the performance still stays acceptable even if Nature throws sticks in the farmers’ spokes, so to speak.

This is where gene technologies can help. They can help avoiding the expression of unfavorable genes, or allow some genes to express themselves against adverse conditions. It is what gene editing is about. There are many areas of work. Just think at the possibility of having plants that are more rustic to face difficult growing conditions such has drought or heat. It can be the possibility of having genes that offer resistance to diseases. This not just about financial aspects. It is also about animal welfare, as sick animals suffer. It is also about the environment as all yield losses from crops or sick animals are an inefficient use of resources.

For instance, the recent development of the PRRS-resistant pig (Porcine Reproductive and Respiratory Syndrome), a disease that has serious economic and animal welfare impact is interesting. The gene-edited pig production has now been authorized by the US FDA. Of course, such a novelty meets resistance and criticism. That is the way change goes. Considering the risk of diseases, as I was mentioning them in a previous post, any progress that can be made to prevent infection by plants, and humans deserves to be considered. The same thing is true for new medications and new vaccines. The reality is that new ways of protecting us will be needed in the future. Gene editing is a tool that we will need, and not just in agriculture. Actually, many of future applications will have a use in human medicine just as much. We must not give scientists a blank cheque about innovation, but we must also be open minded to new ways. Of course, this leads to discussions and all aspects must be considered, and that includes ethics as well.

An example of such discussions, with an unexpected outcome, is the use of gene editing of hens that produce only females. From a technical point of view, this eliminates the issue of chick sexing, as there is no male chick. Male chicks have been an issue in egg production as they would not be useful. The industry used to cull the males but that was cause for ethical issues. So, back to the gene-edited hens. The fact that they produce only females means that, statistically, to produce the same number of females, only half of the mothers are required. This means less feed needed, therefore freeing arable land, therefore less environmental impact. Of course, the ethics of gene technology would be questioned. Surprisingly, the company producing these hens got support from the Compassion in World Farming, which is no small feat. The CIWF is a vocal critic of intensive animal husbandry. The fact that they see an advantage in this application of gene editing is rather interesting and shows that pragmatism is needed if we want to improve for the future.

Bonus number 4: farmers’ ingenuity

If I can think of a profession of people having resilience, adaptability and resourceful beyond the imaginable, I immediately think of farmers. Their work is not just about producing; it is mostly about solving and fixing unexpected problems. Just take a look at what they can do with a roll of duct tape and you know farmers are not your average person. You also know that they innovate with a cost-effective mindset. They perform miracles every day. Here is a device installed by Rose Acre Farms, the second largest egg producer, to deter migrating bird to get close to the hen houses and thus to reduce the risk of contamination with avian flu.

In my previous post in which I discussed the risks of diseases and that AI could be a great help, this shows how ingenuous farmers can be and that innovation is not only about high-tech. I hope for them that this simple device will work. Unfortunately. most consumers do not even realize that and what it takes to produce food. Farmers need more recognition. Even if they sometimes take their time to adopt new methods and technologies, they are definitely always looking at improving their operations and meet the demands from the public and from governments with a dedication that you will not find in many other professions. I regularly lament that farmers are not involved enough in the proper development of innovations. I also lament the fact that farmers are rarely involved and invited in conferences about the future of food and farming. Their practical experience, their knowledge of what works and what does not, of what is possible and what is not are essential contributions for a prosperous future. The world cannot miss their ingenuity.

Next week’s article: The Future of Family Farms: Navigating Generational Changes

246. How AI Will Transform the Role of Advisors in the Future

Posted on October 20, 2025 by Christophe Pelletier

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Over the past year, artificial intelligence has made tremendous progress. I remember sharing my frustrations about a year ago, but today, not only am I a regular user of AI, but I have to admit that the quality of the work it does is top notch.

So, how do I see AI impacting the work of advisors in the future? Well, I can see a number of areas where AI is going to be a game changer with profound consequences on the work of advisors, consultants or extension services.

First of all, why should clients pay advisors and consultants when they can have the same quality delivered by AI for a fraction of the cost and a fraction of the time? I often read posts and articles warning you that if you do not use AI, you will be replaced by people who do. That is true, but in reality, the shift goes beyond the competitors. If you do not use AI, you certainly will be at a disadvantage, but that is not the worst that can happen. The true concern is not so much competitors as the clients using AI for tasks that they used to outsource to you. If advisors use AI for some parts of their assignments, clients can do it just as well. Let’s face it, learning how to prompt is not that difficult. If an advisor can do it, be assured that so can the client. The client becomes the competitor for some tasks. It is not even about competition; it is about a market that will not longer exist, simply because it has no longer any reason to exist.

What will be the activities that advisors and consultants used to provide that will soon be obsolete? Everything that has to do with compiling information, conceptualization, knowledge and data will be the first to go. The bulk of reports, surveys and research will shift to AI. I used to see many similar reports that were passed to different clients and sold at retail price, thanks to word processing. This is going to be history very soon.

– Competence –

So, if advisors are not needed anymore to do their “traditional” work, what will be left for them to do? This is where the views about AI of a couple of years ago will change dramatically. I remember by then, a report from Harvard University showing that highly skilled consultants were showing less improvement by using AI than the less talented ones. That sounded like consultants would use AI and, miracle, even the mediocre ones could fool the rest and seem like high performers. I never bought that sort of thinking. To me, that already sounded like AI had the potential to simply replace them. Period. And that is what will happen. Using AI to try to look good is a weak strategy. Everyone can see that everyday on LinkedIn. There, the number of posts obviously generated with AI published everyday is amazing. But since it is AI, the natural question is to wonder whether the person publishing the post truly has the competences they claim to have, or is AI actually the one with the competences? When you start wondering about that, you are already questioning the real level of expertise of that person. This is where the top quality of the advisor of the future appears: competence! In the future, only talented advisors wil survive. Keep aside posts that have not been proofread while showing obvious errors, which is a reputation killer right away, it is interesting to look at comments. Competence (or lack hereof) appears right there. Can (or does) the person answer the questions asked or reply intelligently to comments or not? Then, you have your answer. Personally, I like to comment on posts, sometimes because I want to know more, and sometimes because I like to challenge a bit.

– Adding value –

Competence is one thing, but the advisor of the future will need to show more than just that. The key to survive as an advisor in a future with AI, is going to be able to deliver added value, and to demonstrate what it is and how much it is, in a tangible manner. The future role of advisors will not be anymore knowledge transfer (although that will always be an asset), but the core of the advice of the future will be in the know-how.

Farewell theoretical concepts alone! Welcome practical ability for execution!

This has been my philosophy since Day 1, so I like this idea. I would even go as far as to see the remuneration of advisors shift from flat fees for a project to a two-part system. A base fee, and a variable “bonus” linked to the actual performance improvement that the advisor will generate.

Adding value requires to understand the business of the client and especially what the specific needs for improvement are. It is truly a market-driven business-to-business approach. Successful advisors will be those who can “embed” themselves in the client’s operations, understand what works and what does not, and understand what should be happening but does not. AI is not just about technology. It is about having a tool to better help clients. It is a tool to support the human side of a business. Of course, some advisors are actually in that position. They are already doing quite well, and will keep doing so, as long as they do what is needed to stay sharp.

My Top 5 hot items for 2025

Posted on December 19, 2024 by Christophe Pelletier

As the next year is around the corner, it is a good time for me to present in a video what I see as my top five hot items that will keep the food and agriculture world busy for 2025.

To help you go directly to one particular item, here are the video timelines for the five topics:

Geopolitics 00:17
The economy 05:10
Investments 14:11
Artificial intelligence 9:34
Diseases 12:18

My take on artificial intelligence

Posted on October 18, 2023 by Christophe Pelletier

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Although the topic is on everyone’s mind lately, I have been presenting my views on artificial intelligence at conferences for more than a decade, long before it became trendy. I developed my logo with AI, and I use AI tools in my work as well, so it is not that huge of a deal to me. I was not really planning on writing a post about it because:

1) there are already so many of them around;

2) I have done presentations including the subject for many of my clients for many years and I even mentioned it in one of my poems about technologies from Down to Earth, my poetry book that I published in 2021;

3) it is just not me to jump in and follow the herd just for the sake of getting some attention.

It is just that I read a recent article, which triggered me to change my mind and get at the keyboard.

The article was about the result of research carried out by Harvard Business School, Reskilling in the Age of AI. The part that I found quite interesting was that according to this research, artificial intelligence was to reduce the gap between mediocre consultants and the “elite” consultants. The mediocre ones saw a performance boost of 43% thanks to AI, while the performance increase for the top consultants was much more modest. My spontaneous reaction was to conclude that businesses should either work only with top quality consultants or just eliminate the middleman when it is one of the mediocre ones and just make the switch to AI themselves, which is kind of what I hinted at in the one of my answers when I set up my FAQ section many years ago.

Another anecdote that shapes my views on AI and digitalization is what happens if there is a slight mistake in an online order. If the system does not recognize something in the information submitted, then we are dealing with artificial stubbornness, which is second to none, not even the “natural” one. I am sure many of you have experienced the frustration of dealing with an automatized package tracking system, and the agony of finding a real person who might be able to fix the problem.

Let’s face it, AI is still in its infancy and there is a whole world to open up in the future. As an illustration, I post in this article two slides taken from some of my presentations, which were not about AI as such, but in which I indicated in what respect the current automation in food and agriculture differs so much from the previous mechanization from the 20^th century and earlier. The “old” automation was basically to replace human -and animal- labour and allow one person to perform physical tasks that had required much more individuals before. Mechanization was really all about adding “muscle” to the farmer and the worker, and sometimes to replace them, too.

The 21^st century automation, although still adds muscle, is much more about adding a nervous system. Satellites, sensors of all sorts, management software, robotics, driverless vehicles and the many new technologies, when combined, actually mimic the nervous system as we know it. There are limbs, contact organs, senses and nerves that transport and transmit information that the brain (the intelligence centre) will process and send instructions back to the entire system to take action in the field, in the factory, in the logistics or in the store or restaurant. As the flow of data is essential for effective performance, it is clear that the synapses are of the utmost importance for this artificial nervous system. This why all the new technologies must be looked at from a system point of view and how they interact with one another. Developing technologies independently is a mistake, as it will miss many points.

So, we are building a nervous system, and since it is in its infancy, the way forward is really to treat it as an infant and follow the same process and the same steps that are required to develop a new human being and bring it up into a well-functioning grown-up. First, it is important to develop its cognitive abilities by exposing it to many experiences as possible, under serious supervision, of course. This will help the development of the right connections and the right amount in the nervous system. That is essential for AI to be able to function and deal with new and unknown situations and problems that need to be solved. When I was a student, one of my teachers had defined intelligence as the ability to cope and overcome situations never met before. I like that definition. As the “subject” develops further, it will need to learn more and more and, of course, the way to learn is to get a solid education, which means gathering knowledge, understanding how the knowledge connects together, and to be able to exercise critical thinking, therefore discerning what are true facts from what is raving nonsense. The learning process must be built on serious sources and there, too, serious supervision is needed. Just like with education, the system needs to be tested for progress and when difficulties arise, there must be proper monitoring and tutoring to help the “student” achieve success. The “subject” is still young and can still be subject to bad influences that might undermine its ability to identify the correct information and reject the nonsense, and thus perform properly. Really, developing AI looks a lot like raising a child all the way into adulthood.

The user also must take proper action to adapt and grow together with the nervous system. The artificial brain may be much faster at processing data that a human brain but humans using AI must be able to assess whether the outcome of the data processing makes sense or not. We must be able to spot if something in the functioning of the system is wrong, should that happen, in order to stop it from causing further errors and damage. If you use ChatGPT, to name a popular AI system, to write an essay and you do not proofread it for errors, both in content and form, then you expose yourself to possible unpleasant consequences. Automation and AI are to do work with us, not instead of us. Our roles will change, but just as it was not acceptable before, laziness (OK, let’s call it complacency) cannot be acceptable in the future, either.

Of course, like with any innovation, we must make a clear distinction between tool and gadget. So, what is the difference between the two? A tool performs a task, which has a clearly define objective and a clearly defined result. It must be effective and efficient. A gadget is just for fun and distraction. Tools evolve to get more useful. Gadgets do not, and disappear when another gadget that is more entertaining comes along.

Earlier, I was pinpointing the need to discern good sources of knowledge and information from nonsense. The saying “you are what you eat” is actually rather appropriate when it comes to AI in its current form. Indeed, the data AI is fed on will strongly influence what it produces.

In the food and agriculture production, supply and distribution chain, using AI should normally use reliable data, as the data should originate from a well-known and reliable source. Although the data can be quite voluminous, it is limited to these reliable sources, often the data of the producers themselves. Therefore, and as a tool, AI will be quite useful to tackle all the challenges that the sector is facing now and for the future. If the AI system that you use picks its data and information from an uncontrolled source, like the internet, you must realize that unless it has very solid safeguards to discriminate between truth and falsehoods, it will end up compiling the good, the bad and the ugly and thus further spread poison. Therefore, close scrutiny and monitoring is of the highest importance.

Further, here is a video on the subject that I posted on my YouTube Channel: