The AI War for Your Appetite Has Begun
GLP-1 drugs like Ozempic, Wegovy, Mounjaro, and Trulicity have done something the food industry never intended: Giving consumers back control over their hunger. But AI is now being deployed to take that control away. Faced with declining sales, food companies aren’t adapting to this shift. They’re fighting back. Their new strategy? Use AI to re-engineer addiction.
AI and behavioral science are being used not to meet demand but to manufacture it—designing ultra-processed foods that override satiety signals, ensuring consumers keep eating even when their bodies say they don’t want to.
Walmart recently admitted that GLP-1 drug users are buying less food. That should be a public health victory—less overeating, fewer impulse purchases, and a shift toward whole foods. But instead of embracing healthier consumer behaviors, food companies are doubling down on hyper-palatable formulations—engineering food not to nourish but to hijack cravings at the neurological level.
This isn’t just about food. This is about consent in the algorithmic age.
Engineering Addiction: A Business Response to Lost Sales
Food companies have used salt, sugar, and fat in precise ratios for decades to encourage overconsumption. However, as GLP-1 drugs disrupt that cycle, brands turn to AI-driven food science to keep consumers hooked.
A recent EY-Parthenon survey highlights the challenge:
- GLP-1 users report a 40%-60% decrease in snack consumption.
- They also show a nearly 80% increase in fruit and vegetable intake.
- The total market impact? Up to $12 billion in lost sales.
- The response? Optimize for cravings.
AI and behavioral science are now bypassing natural hunger cues and triggering repeat consumption. According to CAS, a division of the American Chemical Society: “AI-driven systems analyze vast amounts of data to optimize flavors, textures, and ingredient combinations, creating foods that are more enticing to consumers.”
In other words, AI isn’t just making food tastier and more challenging to resist.
The Ethical and Business Risk of Algorithmic Appetite Control
The question isn’t whether AI can engineer stronger cravings. The question is: Are you designing AI in a way that preserves consumer choice? Are you offering transparency about how AI is shaping consumer behavior? Are you optimizing for long-term trust or just short-term consumption spikes? Would your consumers still engage if they knew how much control was being ceded to AI?
AI can drive sales. But undisclosed manipulation erodes trust. The subsequent major consumer backlash won’t be about what’s in the food but what’s behind the algorithm.
The Ethics of Engagement: Are You Removing with AI Friction or Removing Consent?
This is not just a food industry issue. It is about how AI is restructuring choice itself. When an algorithm determines what people crave, are they choosing? When AI personalizes content for engagement, are consumers in control—or just following a script? When ultra-processed foods are designed to be addictive, are they still “just food” or something closer to a drug?
According to The National Institutes of Health: “By designing foods that override natural satiety signals, companies may be influencing eating behaviors without consumers’ conscious awareness. This practice parallels concerns previously associated with addictive substances, where products are engineered to promote repeated use.”
The implications go beyond food. This is about how AI-driven businesses define choice itself.
What Are You Automating with AI—And Who Benefits?
Automation removes friction. That’s its power. It streamlines processes, enhances efficiency, and makes engagement easier. But some friction is necessary. Friction is often the last safeguard for consumer autonomy.
- Checkout pages create friction to prevent regretful purchases.
- Social media “Are you sure?” prompts exist to prevent impulsive actions.
- Regulated industries like finance require disclosures to ensure informed decisions.
But AI-driven engagement removes friction by design. If every decision is optimized for seamless, habitual interaction, when does it stop being a choice? Are your AI models nudging consumers toward actions they wouldn’t consciously choose? Does your engagement strategy respect human agency or exploit cognitive blind spots? Are you automating recommendations in ways that increase genuine value—or encourage passive consumption?
Because the most dangerous AI systems aren’t the ones consumers reject—they’re the ones they don’t even realize they’re interacting with.
And that’s not engagement. It’s dependence.
The Future of AI-Driven Engagement: A Defining Moment for Leadership
This is not just about AI in food. It’s about how every AI-driven business is redefining choice. Every engagement-driven AI system tilts reality just enough to influence decisions:
- Social media optimizes engagement at the cost of mental health.
- E-commerce optimizes impulse buying at the expense of financial well-being.
- Streaming platforms optimize autoplay at the cost of attention span.
- Food companies optimize hyper-palatable formulations at the expense of public health.
Tastewise states, “AI enables personalized marketing campaigns that target individual preferences and behaviors, potentially amplifying the impact of hyper-palatable foods.”
The ethical question isn’t whether AI should drive engagement; it’s whether it should drive engagement without the consumer understanding what’s happening.
AI and Business at the Crossroads: Responsible Innovation or Regressive Manipulation?
Executives are at a critical decision point. AI-driven optimization involves improving engagement and defining whether that engagement is ethical.
Have you defined an “ethical outcome” if you’re automating behaviors? If your AI system is nudging consumers, is it nudging them toward informed, beneficial decisions or deeper engagement? If your technology works best when consumers don’t understand it, what does that say about its long-term sustainability?
This isn’t just about food. It’s about how AI is deployed across industries to shape consumer behavior without explicit consent.
- AI is optimizing consumption at every level—from eating to shopping, engaging online, and even thinking.
- AI isn’t just predicting behavior anymore—it’s training people to behave predictably.
- The question isn’t just what AI can optimize but whether we’re comfortable with the choices it’s making for us.
The backlash will be swift if companies fail to anticipate this reckoning. Regulators are watching, and consumers are waking up. Organizations that prioritize transparency, real choice, and ethical AI practices will now be the ones that survive and thrive in the AI-driven future.
Because the next big AI reckoning isn’t about bias or fairness; it’s about consent. The battle for your appetite was just the beginning. The battle for your autonomy is what’s really at stake.
Your hunger isn’t yours anymore—AI is eating for you.