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See also: Terms, Models and Guides Artificial intelligence / AI apps
Artificial intelligence applications span almost every sector of the modern economy. The same underlying techniques (deep learning, transformer-based large language models, diffusion models, reinforcement learning, and computer vision) are deployed for very different purposes: reading chest X-rays, recommending products, controlling robotaxis, designing proteins, and writing code. This page organizes the major categories of AI apps both by sector and by modality (text, image, audio, video, code), and includes representative products in each area.
The following table summarizes the largest AI deployment areas, the kinds of tasks AI handles in each, and a few representative systems. Sector-specific detail and citations are in the sections below.
| Sector | Typical AI tasks | Representative systems |
|---|---|---|
| Healthcare | Medical imaging, triage, drug discovery, clinical documentation | AlphaFold, Aidoc CARE1, Philips SmartSpeed |
| Finance | Fraud detection, algorithmic trading, credit scoring, AML | JPMorgan LLM Suite, Bloomberg GPT, Mastercard Decision Intelligence |
| Transportation | Self-driving cars, route optimization, logistics | Waymo, Tesla FSD, Zoox, Apollo Go |
| Education | Tutoring, grading, lesson planning, language learning | Khanmigo, Duolingo Max, Speak |
| Software development | Code completion, refactoring, agentic coding | GitHub Copilot, Cursor, Amazon Q Developer |
| Customer service | Chatbots, IVR, voice agents, ticket triage | Sierra, Decagon, Ada, Salesforce Einstein |
| Manufacturing | Predictive maintenance, quality inspection, robotics | NVIDIA Isaac, Siemens Industrial Copilot, Covariant |
| Defense and security | ISR, targeting support, autonomous systems | Project Maven, Palantir Maven Smart System, Anduril Lattice |
| Science | Protein structure, materials discovery, weather | AlphaFold, GNoME, GraphCast |
| Agriculture | Precision farming, See & Spray, autonomous tractors | John Deere See & Spray, Climate FieldView |
| Retail and e-commerce | Recommendations, search, dynamic pricing, agents | Amazon Rufus, Shopify Sidekick, Walmart Sparky |
| Creative arts | Text, image, music, and video generation | Midjourney, DALL-E, Suno, Sora |
Healthcare is one of the most regulated AI markets and also one of the fastest growing. As of July 2025 the U.S. Food and Drug Administration's public database lists over 1,250 AI-enabled medical devices authorized for marketing, up from roughly 950 in August 2024. Radiology dominates the list, accounting for roughly three quarters of all authorizations, and 295 new AI clearances were issued in 2025 alone.[1][2]
Typical clinical applications include computer-aided detection of lung nodules, intracranial hemorrhage, breast cancer, and bone fractures on X-ray, CT, MRI, and ultrasound. Aidoc's CARE1 became the first foundation-model-powered clinical AI to receive FDA clearance in February 2025, for rib fracture triage.[1] Philips received FDA 510(k) clearance the same year for SmartSpeed Precise, a deep learning MRI reconstruction pipeline that reduces scan time while preserving image detail.[3]
Beyond imaging, AI is used for drug discovery, clinical documentation, and decision support. AlphaFold 2 predicts the 3D structure of a protein in hours instead of months, and the AlphaFold Protein Structure Database now covers more than 214 million sequences. AlphaFold 3, released in 2024, predicts not only protein structures but also interactions with ligands, nucleic acids, and antibodies, opening up structure-based drug design for targets that have no experimental structure. The work was recognized with the 2024 Nobel Prize in Chemistry.[4][5]
| Use case | Example product or model | What it does |
|---|---|---|
| Radiology triage | Aidoc, Viz.ai, Rad AI | Flags strokes, pulmonary embolism, fractures on imaging studies |
| MRI acceleration | Philips SmartSpeed, GE AIR Recon DL | Reconstructs faster scans without losing resolution |
| Protein structure | AlphaFold 2/3, RoseTTAFold | Predicts 3D structure and binding from sequence |
| Drug discovery | Isomorphic Labs, Atomic AI, Recursion | Designs candidate molecules and predicts ADMET properties |
| Clinical documentation | Abridge, Nuance DAX Copilot, Suki | Transcribes and summarizes patient visits into notes |
| Diabetic retinopathy | IDx-DR | First fully autonomous AI device cleared by the FDA (2018) |
Financial services adopted machine learning early; the use of AI in banking is often dated to 1987 when Security Pacific National Bank launched an AI fraud prevention task force. Today more than 85% of financial firms actively apply AI somewhere in their operations, and AI spending in financial services is projected to reach roughly $97 billion by 2027.[6]
Key domains include fraud detection, anti-money laundering (AML), credit scoring, algorithmic trading, and customer-facing assistants. Algorithmic and high-frequency trading account for over 60% of U.S. equity trades, with machine learning models analyzing tick data and news feeds in milliseconds. Recent fraud detection systems achieve precision above 95% while reducing financial fraud losses by as much as 50%.[6]
Large banks have also begun rolling out internal generative AI tools. JPMorgan Chase's LLM Suite was used by more than half of its 200,000 employees in Q1 2025 for credit decisions, fraud prevention, liquidity management, and document review, with the bank reporting nearly $1.5 billion in cost savings.[6]
| Use case | Example system | Notes |
|---|---|---|
| Card fraud detection | Mastercard Decision Intelligence, Visa Advanced Authorization | Real-time scoring of every transaction |
| AML and KYC | Feedzai, ComplyAdvantage | Pattern detection across transaction graphs |
| Algorithmic trading | Renaissance Technologies, Two Sigma, Bloomberg GPT | Pricing, signal extraction, execution |
| Credit scoring | Zest AI, Upstart | Alternative-data underwriting beyond FICO |
| Internal LLM assistants | JPMorgan LLM Suite, Morgan Stanley AI@MS | Research summarization, internal Q&A |
| Robo-advisors | Wealthfront, Betterment | Portfolio construction and tax loss harvesting |
Autonomous driving is the marquee AI application in transportation. Waymo operates roughly 3,000 fully driverless robotaxis across ten U.S. cities and generated an annualized revenue of more than $350 million as of January 2026, while planning service or testing in 26 markets. In late 2025 Waymo pulled human safety drivers from its vehicles in Dallas and Houston, restricting them to employee rides ahead of a 2026 public launch. Tesla launched a Robotaxi-branded pilot in Austin in June 2025 and a service in the San Francisco Bay Area later in the year, though most cars still carry a human supervisor as of late 2025. Amazon-owned Zoox and Baidu's Apollo Go (the dominant operator in China) round out the global fleet.[7]
A notable architectural shift in 2025 was the convergence of approaches: Waymo, Tesla, and UK-based Wayve all now use end-to-end foundation models trained on driving data, narrowing the long-running gap between Waymo's modular sensor-fusion stack and Tesla's vision-only approach.[7]
AI is also used to optimize freight, last-mile delivery, ride matching (Uber, Lyft, DoorDash), and air traffic flow. UPS's ORION routing system, which has used machine learning since 2013, is credited with cutting roughly 100 million miles per year from delivery routes.
| Application | Example | Status |
|---|---|---|
| Robotaxi | Waymo One | Fully driverless in 10+ U.S. cities (2025) |
| Robotaxi (China) | Apollo Go (Baidu) | Largest by ride volume in 2025 |
| Consumer ADAS | Tesla FSD, Mercedes Drive Pilot | Level 2 with operator supervision |
| Trucking | Aurora, Kodiak, Plus | Hub-to-hub autonomous freight pilots |
| Drone delivery | Zipline, Wing | Routine medical and retail deliveries |
| Route optimization | UPS ORION, FedEx Dataworks | Logistics planning at fleet scale |
The most widely deployed educational AI product as of 2026 is Khanmigo, an AI tutor and teaching assistant built by Khan Academy on top of GPT-4. Khanmigo guides students through problems with Socratic prompts rather than handing them answers. In 2024 a Microsoft partnership made Khanmigo for Teachers free to all K-12 educators in the United States, and the tool has since launched in India, Spanish-speaking Latin America, and parts of Europe and Asia.[8]
Duolingo Max, Speak (an English conversation tutor), and Quizlet's Q-Chat fill out the consumer-facing tier. Universities and school districts also use AI for plagiarism and AI-content detection, automated short-answer grading, and learning analytics to flag students at risk of falling behind.
| Use case | Example | Notes |
|---|---|---|
| Personal tutor | Khanmigo, Synthesis Tutor | Socratic, on-demand homework help |
| Language learning | Duolingo Max, Speak, Pimsleur AI | Conversational practice with feedback |
| Lesson planning | Khanmigo for Teachers, MagicSchool | Generates lesson plans, rubrics, IEPs |
| Grading and feedback | Gradescope, Turnitin | Auto-grades free response and detects AI text |
| Adaptive learning | DreamBox, Carnegie Learning | Adjusts difficulty per student response |
AI coding tools have become one of the fastest-adopted enterprise technologies in recent memory. GitHub Copilot reached 20 million cumulative users in July 2025 and is in use at roughly 90% of Fortune 100 companies. Cursor (built on top of Anysphere's fork of VS Code) captured about 18% of the AI coding market within 18 months of launch, surpassed 1 million daily active users in 2025, and had developer users at more than half of the Fortune 500 by its Series C funding round in June 2025. The broader AI coding assistant market grew from $4.91 billion in 2024 to $7.37 billion in 2025.[9]
GitHub reports that AI tools now generate roughly 46% of the code committed by developers using Copilot, and a 2025 Pragmatic Engineer survey found 85% of respondents use at least one AI coding tool. Sentiment is mixed; positive developer sentiment toward AI tools fell from 70% in 2024 to 60% in 2025 as users came up against the hallucinations and edge cases that the tools still struggle with.[9]
| Tool | Vendor | Strengths |
|---|---|---|
| GitHub Copilot | GitHub / Microsoft | Inline completion, chat, Copilot Workspace, agent mode |
| Cursor | Anysphere | VS Code fork with deep multi-file context and rules |
| Claude Code | Anthropic | Terminal-based agent for repository-scale changes |
| Amazon Q Developer | AWS | Code, IaC, and operational troubleshooting on AWS |
| Tabnine | Tabnine | Self-hosted and on-prem completion |
| Replit Agent | Replit | Browser-based app builder for non-developers |
| Devin | Cognition Labs | Autonomous SWE agent for longer-horizon tasks |
Contact centers were among the first business functions hit hard by large language models. The global chatbot market sat at roughly $9.56 billion in 2025 and is expected to reach about $25.88 billion by 2030, while the broader Contact Center as a Service market was valued at $7.08 billion in 2025 and is projected to hit $30.15 billion by 2034.[10]
Around 80% of companies are using or planning to use AI-powered chatbots for customer service, although only about 25% of call centers report that they have actually integrated AI into daily workflows. IBM has reported that AI can reduce customer service operational costs by 30 to 50%, and Gartner has forecast that by 2026 conversational AI in contact centers will reduce agent labor costs by $80 billion globally. The current wave is dominated by agentic systems (Sierra, Decagon, Ada, Salesforce Agentforce) that can take actions like processing refunds or rescheduling appointments rather than just answering questions.[10]
Manufacturing is the heaviest user of AI in heavy industry. By 2025 roughly 90% of manufacturers reported using AI in some part of their operations, and the global AI-in-manufacturing market is projected to grow from $5.94 billion in 2024 to $60.7 billion by 2034.[11]
The two biggest application clusters are predictive maintenance and machine vision. Predictive maintenance models ingest vibration, thermal, current, and acoustic sensor streams to flag bearing wear, motor degradation, or hydraulic leaks before they cause downtime. Reported downtime reductions of 50 to 70% are common in published case studies. On the robotics side, "physical AI" platforms such as NVIDIA Isaac, Covariant RFM, and Skild AI give industrial robots better grasping, path planning, and bin-picking in unstructured environments. Digital twins (running in NVIDIA Omniverse and similar tools) let manufacturers train robots in simulation before deploying them on the line.[11][12]
| Use case | Example | Notes |
|---|---|---|
| Predictive maintenance | Augury, Siemens Senseye | Sensor-driven failure prediction |
| Visual quality inspection | Landing AI, Cognex VisionPro | Defect detection on production lines |
| Industrial robot foundation models | NVIDIA GR00T, Covariant RFM | Generalist policies for manipulation |
| Process optimization | Siemens Industrial Copilot | Natural language interface to PLCs |
| Warehouse robotics | Symbotic, Locus, Boston Dynamics Stretch | Picking, sorting, palletizing |
The U.S. Department of Defense has formalized Project Maven (announced in 2017) into a long-term Pentagon-wide program. In May 2025 the Maven Smart System contract ceiling was raised to $1.3 billion through 2029, up from $480 million. Maven uses computer vision to detect and identify objects in drone footage and satellite imagery and feeds those targets into analyst workflows. The Pentagon has credited Maven with supporting 2024 U.S. airstrikes in Iraq, Syria, and Yemen, as well as the location of hostile maritime assets in the Red Sea.[13]
In December 2024 Palantir and Anduril announced a consortium that links Anduril's Lattice Mesh (frontline sensors and effectors) with Palantir's Maven Smart System and AI Platform, intended to move sensor data into AI-supported targeting workflows. NATO's Communications and Information Agency acquired the Maven Smart System NATO (MSS NATO) in March 2025 for use within Allied Command Operations.[13]
AI is also used heavily in cybersecurity (anomaly detection, threat hunting, phishing detection) and in border and surveillance systems. The use of AI in lethal autonomous weapons, facial recognition for law enforcement, and mass surveillance is also one of the most active areas of policy debate in AI ethics.
AI for science is perhaps the area where the technology has produced the most unambiguously useful results so far. Three of the headline projects:
AI is also widely used in genomics (DeepVariant, Enformer), astronomy (galaxy classification, exoplanet detection in Kepler/TESS data), particle physics (jet tagging at the LHC), and climate modeling.
Precision agriculture pairs AI with sensors, satellite imagery, and autonomous vehicles. John Deere unveiled a new fleet of fully autonomous tractors in February 2025 with 16 cameras in pods around the machine for 360-degree vision and sub-inch GPS. Modern Deere tractors process more than 50 million data points per season, combining soil sensors, satellite imagery, and weather feeds to time irrigation, fertilization, and crop protection. Deere reports that its See & Spray system can reduce chemical herbicide use by up to 70% by spraying weeds individually instead of broadcast spraying entire fields, and that AI plus advanced analytics can lift yields by around 30% relative to non-AI baselines.[15]
Other agricultural applications include disease detection from leaf imagery (Plantix, Taranis), livestock monitoring (Connecterra, Cainthus), greenhouse environment optimization, and weed-pulling robots like Carbon Robotics' LaserWeeder.
Recommendation systems at large e-commerce platforms have run on machine learning for two decades; Amazon has said that recommendations generate over 35% of its revenue. The newer generative AI layer is conversational shopping. Amazon's Rufus assistant served about 250 million shoppers in 2025 with a reported 60% conversion rate for users who engaged with it, and Amazon's "Help me decide" feature, built on Bedrock and SageMaker, uses an LLM plus an evaluator LLM to generate personalized product recommendations.[16]
Walmart's Sparky, Shopify's Sidekick, Mercado Libre's Asistente, and Klarna's AI assistant cover similar ground for other retailers. Behind the scenes, AI handles dynamic pricing, demand forecasting, fraud detection, and computer vision for cashier-free stores (Amazon Go used Just Walk Out technology before being scaled back to Dash Carts in 2024).
Generative AI in the creative industries grew explosively after the 2022 release of Stable Diffusion, DALL-E 2, Midjourney, and ChatGPT. The generative art and design market is projected to grow from about $298 million in 2023 to roughly $8.6 billion by 2033 (a ~40% CAGR), and the generative AI music market from $570 million in 2024 to about $2.79 billion by 2030 (~30% CAGR). Surveys suggest around 60% of working musicians already use AI in some part of their workflow, and 82% of listeners in one study could not tell AI-generated compositions from human ones.[17]
Text-to-video systems (OpenAI Sora, Google Veo, Runway Gen-3, Kling) have moved from research demos to commercial pilots in advertising, film pre-visualization, and short-form social content. AI is also used in dubbing (ElevenLabs, Papercup), de-aging, deepfake detection, and post-production color grading.
The rest of the page lists representative AI applications grouped by input and output modality. Many tools in the table at the end of the article combine several modalities.
Jasper
DeepMind Sparrow
Writesonic
Character.AI - Create characters and talk to them
Chatsonic by Writesonic
Bard by Google
Jasper Chat by Jasper
ERNIE Bot by Baidu
Jenni AI
Pragma - sales messages
Lex.page
Craftly.AI - copywriting
Copy.ai - write copy
Rytr
Lexica - Stable Diffusion search engine
Microsoft Designer - Design powered by DALL-E
Synthesia - videos with AI avatars
Lumen5 - turn blog posts into marketing videos
Murf
Synthesys
play.ht
Prime Voice AI by Eleven Labs
Amazon Transcribe
AssemblyAI
Descript
Amazon Textract
See also: Search Engines
You.com
Perplexity AI
phind - developer focused
AIVA - music composition
Amper AI
MusicML - text to music, Google
Noise2Music - using diffusion models
Amazon CodeWhisperer - free
Tabnine
Replit - online, multiplayer IDE
CodeGen - Salesforce
Mem.ai - automated workspace organization
timelyAI - scheduling using Whatsapp Mutiny - website conversion, A/B testing, B2B DeepBeat - generate rap lyrics punchlines.ai - generates jokes Shortwave - email organization, summarization, tools Steeped AI - survey analysis, quant research
Lensa AI - image (profile pictures) editing
scenario.gg - game assets
Segment Anything - crop out any object in an image with 1 click
Leonardo.Ai - game assets
Repurpose.io - automatically repurpose existing video content to other social media platforms
Eightify - summarizes YouTube videos
Wonder Studio - add CG characters to live action scenes
AlphaFold - predicts protein structure
Atomic AI - RNA drug discovery
NVIDIA Picasso - build and deploy generative AI-powered image, video, and 3D apps
replicate - use open-source models with a Cloud API
Azure OpenAI Service
Banana.dev - deploy and use open source ML models
Amazon Bedrock
See also: AI apps table
| Product | Type | Description | URL |
|---|---|---|---|
| AutoDraw | Drawing Assistant | AI-assisted drawing tool that guesses what you're trying to draw and offers professionally designed options. | https://www.autodraw.com/ |
| Caktus | Text-to-Text | An AI tool that helps with schoolwork, including writing essays, fixing grammar, creating citations, and aiding in STEM and coding tasks. | https://www.caktus.ai/caktus_student |
| Deep Nostalgia | Image-to-Animation | A creepy tool that adds animation to faces in photos, resulting in unsettling, lifelike images. | https://www.myheritage.com/deep-nostalgia |
| D-ID | Text-to-Text | A platform that allows users to choose an avatar and interact with chat GPT for inspiration and advice. | https://www.d-id.com/ |
| Do Not Pay | Legal Assistant | The world's first robot lawyer, assisting with a wide range of legal situations. | https://donotpay.com/ |
| Eleven Labs | Voice Cloning | Advanced voice cloning tool that creates realistic voice replicas based on uploaded recordings. | https://beta.elevenlabs.io/ |
| Future Tools | AI Tool Database | Searchable database of AI tools, with new additions daily, to stay up to date with the ever-evolving market. | https://www.futuretools.io/ |
| Imagen (Google) | Text-to-Video | An impressive text-to-video generator by Google with capabilities to create realistic videos based on text prompts or uploaded images, though not yet publicly available. | https://imagen.research.google/ |
| Jasper | AI Writing Tool | Comprehensive AI writing tool that optimizes SEO, writes in 25 languages, and excels at long-form content. | https://jasper.ai |
| Kaiber | Text-to-Video | A text-to-video generator that creates videos from prompts or uploaded images, with potential for improvement and use in music video creation. | https://www.kaiber.ai/ |
| Leia Pix | Image-to-Animation | A tool that turns photos into 3D animations by adding depth and allowing users to adjust angle, speed, and animation style. | https://convert.leiapix.com/ |
| Looka | Logo Generator | AI-powered branding and logo design platform that generates hundreds of customizable logo options. | https://looka.com/ |
| Luma Labs | 3D Generation | A tool for creating photorealistic 3D scenes and assets in seconds, as well as importing game assets from phones into game engines. | https://lumalabs.ai/ |
| Microsoft 365 Copilot | Text-to-Text | AI integration across Microsoft's suite of software, including Word, PowerPoint, Excel, and Outlook, to improve productivity. | |
| Midjourney | Text-to-Image | AI-powered text-to-image generator that creates a wide range of images and styles through Discord chat prompts. | https://www.midjourney.com/home/ |
| Mixo | Website Creator | AI-driven website creator that generates full landing pages, email lists, and branding elements from a single business idea. | https://mixo.io/ |
| Mubert | Music Generator | Free AI-generated music platform with attribution requirements for commercial use. | https://mubert.com/ |
| Notion AI | Text-to-Text | The integration of AI into the popular note-taking app Notion, providing writing, summarizing, and brainstorming features natively within the app. | https://www.notion.so/product/ai |
| NVIDIA Broadcast | Audio/Video Processing | A powerful audio and video tool that removes background noise and echoes, replaces backgrounds, auto-frames, and even adjusts eye contact to make it appear as if the user is looking directly at the camera. | https://www.nvidia.com/en-us/geforce/broadcasting/broadcast-app/ |
| NVIDIA Canvas | Image Generation | A fun AI tool that allows users to paint basic shapes and lines, choosing from a palette of materials to create photorealistic landscapes, including 360-degree panoramas. | https://www.nvidia.com/en-us/studio/canvas/ |
| NVIDIA Omniverse | 3D Collaboration | A suite of real-time collaboration tools for 3D artists, enabling seamless teamwork on projects. | https://www.nvidia.com/en-us/omniverse/ |
| Pimeyes | Image Search | A facial recognition tool that finds every photo of a user on the internet, excluding social media sites. | https://pimeyes.com/en |
| Poly | Voice Assistant | AI voice assistant platform that can resolve 50% of customer needs through phone calls without human intervention. | https://poly.ai/ |
| Reimagine Home | 3D Visualization | Virtual platform for testing interior and exterior design setups, like furniture and flooring, in a digital environment. | https://www.reimaginehome.ai/ |
| Rewind | Memory Assistant | A "search engine for your life" that remembers everything users have seen, said, or heard through advanced compression technology. | https://www.rewind.ai |
| RunwayML | Video Editing | A suite of AI video editing tools, including text-to-color grade, super slow-mo, inpainting, and more, with a subscription option for higher resolution exports. | https://runwayml.com/ |
| RunwayML Gen 2 | Text-to-Video | Recently announced text-to-video software that looks as good or better than Google's offering. | https://research.runwayml.com/gen2 |
| Soundraw | Music Generator | Highly customizable music generator for YouTube videos, podcasts, or ads, with adjustable energy levels and instrument selections. | https://soundraw.io/ |
| Synthesia | AI Video Creation | AI-powered video creation tool that features customizable avatars and AI voices for delivering uploaded scripts. | https://www.synthesia.io/ |
| Tome | Presentation Generator | AI-driven presentation generator that creates engaging text and tailor-made images based on a single prompt. | https://beta.tome.app/ |
| Versy | Text-to-Space | A groundbreaking text-to-space AI that generates customizable virtual experiences from text prompts, allowing users to connect rooms, add objects, and view from multiple angles. | https://www.versy.ai/ |
| Wist Labs | Video-to-3D | Immersive memory platform that converts videos into 3D for augmented or virtual reality experiences. | https://wistlabs.com/ |
| Wisdolia | Learning Aid | A free browser extension that creates flashcards from any website, helping users actively learn and retain information. | https://www.wisdolia.com/ |