Discover enterprise AI trends for 2026

Inside Invisible: 2026 Agentic Field Report

AI won’t run your company in 2026. It could, however, let ten people do the work of a thousand if you fix adoption. The leap is from pilots to production: senses (multimodal coherence), teams (multi-agent systems), and twins (safe training grounds).

Down to business

🏥 AI agents move into patient record systems

Health IT providers are adding AI agents to patient management systems to reduce administrative work. Australia based MediRecords is rolling out tools that automate clinical inbox handling and patient summaries, with tests showing inbox processing time cut by up to 120 minutes per day and manual steps reduced by 83 percent. The company plans additional agents next year to assist with appointment scheduling, data entry, and patient recalls.

🏭 AI-driven predictive maintenance for material handling

Treon has launched an AI powered predictive maintenance system to reduce downtime and maintenance costs in enterprise material handling. The system analyzes vibration and temperature data to spot early signs of failure in assets like motors and conveyor belts. Early deployments focus on large scale environments such as food and beverage, logistics, and warehousing, where fast rollout and consistent monitoring across many sites matter more than specialized data expertise.

⛏️ AI moves mining from reactive to predictive

Mining companies are increasingly using AI to improve how they find resources, run operations, and manage safety and environmental risks. Recent deployments show AI helping operators predict equipment failures, optimize ore processing in real time, reduce water and energy use, and automate environmental monitoring to meet stricter regulations. The shift is turning mining into a more data driven industry, where decisions move faster and margins depend on how well companies use real time signals rather than manual oversight.

🥗 AI in food innovation set for rapid growth through 2034

The global market for AI in food innovation is expected to grow from $2.29 billion in 2025 to nearly $40 billion by 2034, driven by adoption across product development, formulation, and manufacturing, according to Precedence Research. Food and beverage companies are using AI to speed up R&D, optimize ingredients, improve food safety, and respond to demand for more personalized and health-focused products. The data shows AI is moving beyond experimentation into core operations, particularly among manufacturers integrating AI with automation, predictive analytics, and smart production systems.

🪑 MIT builds AI system that turns text prompts into physical objects

MIT researchers have developed an AI-driven robotic system that lets users design and build simple objects by describing them in words, such as “make me a chair.” The system translates text into a 3D design, reasons about how parts should fit together, and then assembles the object using reusable components, with humans able to refine the design through feedback. Researchers say the approach could make rapid prototyping more accessible and eventually enable on-demand fabrication of furniture or other items with far less waste.

🚕 Robotaxis go mainstream in major cities

Autonomous ride services expanded rapidly in 2025, with Waymo operating paid robotaxi services across multiple U.S. cities and preparing launches or tests in 26 markets globally. Amazon-owned Zoox opened free public rides in Las Vegas and San Francisco as it awaits approval to begin charging in 2026, while Tesla launched robotaxi pilots that still include human safety supervisors.

Hot model news

🧠 Latest ChatGPT update shows stronger performance on complex business tasks

Early testers say OpenAI’s GPT-5.2 shows its biggest gains in complex business tasks like analysis, coding, and long-running workflows rather than casual conversation. Enterprise users report faster completion times, stronger reasoning on real-world knowledge work, and the ability to stay on task for hours without losing context. Executives at Box and other companies say the model performs noticeably better on tasks common in finance, life sciences, and content-heavy workflows.

🚶 AI predicts what pedestrians will do next

Researchers have developed an AI system that helps autonomous vehicles anticipate human behavior instead of just reacting to it. By combining visual cues with context like body posture and gaze, the model predicts pedestrian actions in real time and outperformed existing approaches in early tests. The work points to a shift in self-driving systems from responding to movement to planning around likely human decisions, with implications for safer navigation in dense urban environments.

🧬 AI model predicts how cells organize during early development

MIT researchers have developed a deep-learning model that can predict, minute by minute, how individual cells fold, divide, and rearrange during the early development of a fruit fly embryo. Trained on video data, the model accurately forecasts the behavior of about 5,000 cells during the first hour of growth. The team says the approach could eventually be applied to more complex tissues and organs, helping researchers spot early patterns linked to disease.

🛒 ChatGPT adds grocery shopping with Instacart checkout

OpenAI and Instacart have launched a shopping experience inside ChatGPT that lets users plan meals, build grocery lists, and complete checkout without leaving the chat. The feature expands their existing partnership and reflects OpenAI’s growing focus on agent-driven commerce, where AI handles research and purchasing on a user’s behalf.

🔐 Cisco puts its own AI model into production security tools

Cisco has begun using a homegrown AI model to power its product for detecting risky login and access behavior. The model analyzes patterns like unusual locations, privilege misuse, and signs of account takeover, then produces clearer weekly summaries that help security teams prioritize identity risks. Cisco says using a model trained specifically for security workflows improves accuracy and actionability compared to general purpose AI.

Plot twist

🐄 Smart cows enter the pasture

Meet SwagBot, an AI powered farming robot designed to monitor cattle health and pasture conditions using sensors and computer vision. The system collects data on livestock movement and grazing patterns to help farmers better manage herds and land, with early trials focused on improving decision making in large, remote farming operations.

Learn more: Invisible's computer vision solution converts your videos into structured time-series data to offer advanced insights.

🌊 AI uncovers hidden proteins in Earth’s microalgae

Researchers at NYU Abu Dhabi have developed an AI tool that can rapidly identify previously overlooked proteins in microalgae, organisms responsible for producing much of the planet’s oxygen. By analyzing protein sequences faster and more accurately than existing methods, the system helps scientists surface biological signals that were previously buried in noise. The advance could accelerate discovery in areas like clean energy, environmental monitoring, and ecosystem health, where understanding how microscopic life responds to change is critical.

🍌 Whole Foods turns food waste into data and chicken feed

Whole Foods will roll out AI powered food recycling systems that turn fruit and vegetable scraps into chicken feed, creating a closed loop that feeds into its own egg supply. Developed by startup Mill and backed by Amazon, the system can reduce waste volumes by up to 80 percent while giving retailers real time insight into what food is being thrown away. Whole Foods plans to use that data to adjust buying and production decisions, linking waste reduction directly to operational planning.

🍳 Recipe creators say Google’s AI summaries are cutting traffic and ad revenue

Food bloggers say Google’s AI Mode is merging recipes from multiple sites into simplified summaries that many users never click past, even when sources are linked. Some creators report losing up to 80% of their traffic over the past two years, threatening ad-based business models that depend on search visibility. With recipes largely uncopyrightable, creators say they have little protection as AI summaries increasingly replace visits to original sites.

🍔 McDonald’s Netherlands pulls AI-made Christmas ad after backlash

McDonald’s Netherlands has removed a Christmas advert created with generative AI after viewers criticized its uncanny visuals. The 45-second film, released on YouTube in early December, drew negative reactions online before being taken down three days later. McDonald’s said the response was “an important learning” as it continues to explore how AI can be used effectively in advertising.

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That’s a wrap for 2025.

Thanks for reading along this year. We’ll be back in early 2026 with fresh signal on where AI is actually landing inside enterprises.