For most organizations, AI adoption is still in the early stages. Yes, executives are significantly ratcheting up AI spending and even mandating the rapid implementation of AI tools and agents across business units. But until recently, relatively few organizations had reported truly transformational results. In fact, an MIT study from the first half of 2025 showed that despite $30–40 billion in generative AI (GenAI) enterprise investments, a surprising 95% of surveyed organizations had seen zero return.
Still, in the short span of time since that study, AI success stories have continued to multiply. Organizations have reported impressive productivity gains, cost reductions, and faster time to market for innovative products. Exploring these successes can spark ideas for new ways to capitalize on AI while also providing proof points to support the business case for additional AI investments.
Let’s take a look at a few prominent real-world examples of AI successes in key industries.
#How is AI delivering value in different industries
Gaming
Roblox
Over the past few years, the gaming platform Roblox has integrated AI tools into Roblox Studio—the company’s free game engine and development environment. Those tools deepen engagement by enabling users to speed up creation of objects and materials. As a result, they can spend more time creating story-driven parts of their worlds.
For example, Roblox released an AI-powered Material Generator to enable developers to create new materials simply by describing them in a prompt. Roblox also launched its Cube 3D foundation model to make it easier to generate 3D—and subsequently 4D—objects and environments from simple text prompts.
- Impact: Just a few months after the public launch of Material Generator, the head of Roblox Studio reported that the company had experienced a 60% increase in material generation among creators using AI tools. Meanwhile, one game developer using Cube 3D reported that his game’s players had generated 160,000 objects using 4D generation, and those players play the game 64% longer than others.
Ubisoft
Video game publisher Ubisoft is using AI to automate the labor-intensive parts of game building—and that’s helping reduce costs and speed development cycles. For example, Ubisoft created Ghostwriter AI to generate first drafts of “barks”—repetitive background dialogue spoken by non-player characters (NPCs). The company also created AI-powered NPCs, called Neo NPCs. These NPCs don’t have pre-written lines: They have personalities, backstories, and goals, and can hold actual conversations with players.
- Impact: With Ghostwriter AI, narrative designers can offload thousands of lines of rote writing, so they can focus on high-level plot and character depth. This change has contributed to an 11% reduction in cash R&D spending in H1 2026. Neo NPCs are increasing the efficiency of game development and enhancing player experiences, which helps keep Ubisoft’s 130 million unique active users engaged longer.
Manufacturing
BMW Group
BMW has been using AI-powered humanoid robots in production plants to handle high-precision tasks. In one initiative, robots in the company’s Spartanburg, South Carolina, plant worked 10-hour shifts, handled 90,000 components, and completed 1.2 million steps on the factory floor. Unlike traditional industrial robots, these robots use AI to perceive their surroundings, learn from experience, and perform multi-step reasoning. For example, some robots monitor their own power levels. When batteries run low, they autonomously navigate to charging stations and perform a hot swap in just 26 seconds.
Schneider Electric
A global leader in energy management and industrial automation, Schneider Electric deployed an AI-powered supply chain agent that manages just-in-case logistics. The goal was to streamline logistical changes that could require dozens of phone calls and days of paperwork. Internally, Schneider Electric has also implemented multiple AI-driven solutions, including an autonomous supply chain.
Impact: When one Schneider Electric customer experienced a supply disruption, the AI supply chain agent identified an alternative manufacturing site, checked the production schedule for flexibility, and redirected the order within 24 hours.
Meanwhile, the internal autonomous supply chain has produced a €100 million increase in value, 10% reduction in overall inventory, 15% improvement in yield for specific manufacturing lines, €30 million increase in productivity, and six-day reduction in delivery time.
Siemens
Siemens Digital Industries, a division of the multinational technology company Siemens AG, built the Siemens Industrial Copilot to help engineering teams use natural language for a variety of functions, including documentation searches, generation of visualizations, and production of code for programmable logic controllers (PLCs).
- Impact: With the Siemens Industrial Copilot, engineering teams can generate code for PLCs using native language, speeding up code generation by approximately 60% while minimizing errors. They can create panel visualizations in 30 seconds.
Direct to consumer and digital commerce
L’Oréal
L’Oréal, the world’s largest cosmetics and beauty company, integrated predictive AI into its R&D work. The company now uses AI-powered computational chemistry to simulate how molecules interact at an atomic scale. This allows them to virtually test new skincare formulations before they ever enter a physical lab.
- Impact: Using AI, the discovery process for new L’Oréal products is now 100x faster than traditional methods.
Coca-Cola
The iconic beverage company Coca-Cola has embedded AI across marketing and supply chain workflows. For example, the company used AI to analyze millions of consumer data points to create the “Y3000” flavor—the first drink co-created with human and artificial intelligence. The company team also uses GenAI to produce global advertising and marketing content, such as its holiday ads. In addition, in a pilot program, Coca-Cola used AI tools to send WhatsApp messages to retail managers, telling them when to restock specific products.
- Impact: By using GenAI for advertising, the company reduced production time for its 2025 “The Holidays Are Coming” ad campaign from a year to around one month. The pilot program in which the company had AI send restock messages to retail managers increased sales by 7–8% in participating stores.
Stitch Fix
The online personal styling service Stitch Fix launched a new AI style assistant service, which uses customer-provided text, photos, and style quizzes to build an AI-based persona for each customer. The AI model then generates personalized “outfit stories”—visual and text-based guides showing the customer exactly how to style their items based on their specific body type and local weather.
- Impact: According to the StichFix CEO, 75% of customers return to the company’s AI tools after first use, and they generate more than a 100% increase in spending for the company’s on-demand shop over a 90-day period. Overall, the company’s AI-first approach has helped increase StitchFix’s annual revenue by 9.4% year over year as of Q1 2026.
Hospitality
Marriott International
In early 2026, Marriott International, the world’s largest multinational hospitality company, launched natural language search functionality across the company’s Marriott.com website and Bonvoy app. Instead of filtering by zip code and dates, guests can describe their trip and get instant, tailored results. To optimize supply value, the company also uses AI-driven pricing, which draws on 80+ data sources, including local events, flight schedules, and even real-time air quality, to generate prices.
- Impact: The company expects that the natural language search functionality will improve conversion rates for its websites, encouraging more customers browsing the websites to actually make reservations. Meanwhile, Marriott has experienced a 22% improvement in revenue per available room (RevPAR) after implementing AI-driven pricing engines.
InterContinental Hotels Group
InterContinental Hotels Group (IHG) is a leading global hospitality company that uses multiple AI-based tools to deliver more personalized experiences and increase conversion rates. For example, the company implemented a digital concierge chatbot for self-service answers to common questions. IHG also launched an AI-powered trip planner within its rewards app. And in early 2026, the company announced plans to implement an AI-compatible content platform to improve AI recommendation visibility; provide AI-driven search and booking experiences; and further strengthen AI-driven personalization, conversions, and guest retention.
Entertainment / Media / Publishing
Disney
Disney has pivoted toward mobile-first, AI-driven content to capture Gen Alpha audiences. For example, the company created an AI video generation tool that enables brands to take existing assets and automatically generate dozens of high-quality, connected TV (CTV)–ready commercials tailored to specific audience segments in minutes. The company also offers AI-based tools built into mobile apps that allow users to transform movie scenes and other content into vertical videos, so they can post clips on vertical-oriented social media platforms, such as TikTok.
- Impact: Disney hopes to accelerate commercial ad production from weeks and months to hours and days. With the vertical video tools on the Disney+ app, the company aims to boost daily engagement with the brand and its content.
Netflix
Netflix is using AI to scale its ad-supported tier, which is now a primary revenue driver. For example, the company uses AI as part of the Netflix Ads Suite to test new ad formats, generate relevant ad creative and placement for members, and accelerate development of media plans. Advertisers can also use AI to create custom ads based on Netflix’s intellectual property.
- Impact: With help from the AI-assisted Netflix Ads Suite, which launched in April 2025, Netflix achieved a 2.5x increase in ad sales in its third year of selling ads—and that contributed to over $1.5 billion of the total revenues for 2025.
As organizations invest more time and money into AI, they will undoubtedly report new transformative results. But even these relatively early successes demonstrate the tremendous potential for using AI for achieving business goals.
In addition to inspiring your team, these real-world stories can help you identify the types of tangible benefits you might expect—and that should help you build the business case for accelerating your own AI adoption.