Customer expectations are changing faster than contact centers can keep up. So, Australia’s largest bank, Commonwealth Bank, partnered with Microsoft to rethink the model entirely. It meant separating intelligence from channels and using an AI orchestration agent to interpret intent and route interactions to connect customers to the right help, faster. It’s now a more intuitive, always-on experience that now supports over two million conversations a month, uplifting the customer self service experience, while empowering frontline teams with real-time AI assistance. Co-engineering like this is only possible when the customer’s AI ambition matches the technology partner’s AI ambition.

Her neighbors thought she was a bit eccentric when she started planting blueberries in pots in rural western Türkiye, but Pinar Ünsal persisted, using her training as an engineer to focus on data-driven farming.  Today, her thriving harvest is powered by an AI-enriched app built on Microsoft Azure — delivering crop insights from real-time satellite imagery, hyperlocal weather reports and real-time data that help her grow smarter, save time and manage risk.

Cancer treatment has gotten more precise over time, as doctors first classified the disease by where it began in the body and, more recently, by the mutations found inside cancer cells to help find the right drugs to treat it.

But why can two people with seemingly similar cancers respond so differently to the same medication? Microsoft researcher Lorin Crawford thinks the answer lies in how tumors actually behave, not just how they’re categorized.

Copper is critical to energy and digital infrastructure but accessing it is harder than ever, so BHP is using Microsoft Discovery to hunt for new solutions and transform the way it innovates.

At Slovenian insurance giant Triglav, dozens of digital mentors empower employees to find ways to use Copilot and Copilot agents to make their work lives more rewarding; Copilot takes on the mundane tasks, leaving the global company’s thousands of employees to focus on human-centric work. As Klemen Ramoveš, chief digital officer, puts it, “We still believe that people are the key,” he says. “It’s ‘Copilot’— it’s not a pilot, so we need to have a lot of pilots on board.”

Ask AI to show “someone at work,” and the results reveal who gets left out — and why that matters. As AI rapidly becomes part of daily life, communities often missing from the tech tools, including people living with disabilities, are helping change how AI systems see them, how those systems are evaluated and who controls the data behind them.

AI is modernizing the world’s most complex industries, from factory floors to building materials to geotechnical data, by capturing, scaling and democratizing expert knowledge. Examples from Japan, Mexico, New Zealand and Saudi Arabia illustrate the creative ways AI is transforming high-skill workflows in manufacturing and industrial companies.

When two Stanford students saw a social media post about a student innovation competition, they almost scrolled past, assuming they’d have no chance. They decided there was no downside to trying and applied anyway.

Daniel Kim and Arjun Oberoi were soon pitching their project, an AI-powered device for people with low vision, onstage at the Red Bull Basement’s global finals and went on to win last year’s Imagine Cup — two contests supported by Microsoft. They say the experience gave them skills and contacts they’ll carry throughout their careers, especially at a time when AI is making development the easiest part of creating new technology.

A new group of students from around the world is getting ready to compete in this year’s contests in early June.

A new Microsoft-powered workflow analyzes crash images in seconds to propose likely damaged parts — so teams can start repairs sooner. With telemetry streaming every three seconds into Microsoft Fabric, engineers can also spot abnormal behavior early and intervene while cars are still on track. That means faster damage assessment and smarter interventions, for the same goal: safer racing and a better experience for drivers, sponsors and fans.

At Double Fine Productions, an idea that emerged almost a decade ago during an internal game jam became Kiln, a pottery party brawler. (Say that fast five times!)

To better understand the craft behind the concept, members of the team got hands-on experience with in-person classes. They learned techniques and gained an appreciation for the complexity of working with clay before translating those lessons into a game infused with cathartic creation and destruction.

The result blends hands‑on creativity with social play, shaped by a studio culture that encourages experimentation, kindness, collaboration and respect.

After the tragic Christchurch earthquake, New Zealand built a geotechnical database to help engineers get complex information on the ground beneath their building sites. Now that data is accessible via the Microsoft Azure-powered digital twin platform BEYON and its AI assistant, enabling engineers to make faster, better decisions.

As the expansion of renewable energy accelerates across Europe, solar developers face a dual responsibility: delivering clean energy at scale while protecting local ecosystems. For Urbasolar, the solar division of Axpo Group, biodiversity protection is an integral part of how projects are designed, assessed and approved.

To support this, Urbasolar has developed an internal AI‑powered chatbot that helps project teams and environmental experts better understand, document and protect biodiversity across its solar power plants.

In the workplace, outcomes rarely hinge on a single decision or team. Patterns that cut across roles, functions and time – unseen while the work is happening – shape end results. By the time these patterns show up in metrics, the opportunity to shape them has already passed.  

But now, AI can track patterns no single person or team could’ve seen on their own. In a new blog, Jared Spataro, Microsoft’s CMO of AI at Work, writes that AI can illuminate the hidden patterns behind decisions, bottlenecks and outcomes, revealing why effort doesn’t always translate into impact.

For decades, quantum computing has sounded like a dazzling breakthrough that was always just out of reach — along with its promise of tackling problems like chemical reactions, new materials and complex systems in ways classical computers can’t. That’s starting to change, and with it comes a whole new vocabulary you’ll likely hear more often, from qubits to superposition and entanglement. Here are 10 key terms broken down in plain language to help you join the quantum conversation.

For many people, using AI starts with a workaround: switching into a second language. That’s because English dominates online text, which is what most AI systems are trained on. As these tools become a go‑to way to get help with everyday tasks, that quiet barrier matters more than most of us realize. Microsoft researchers and partners are working to build systems that understand more languages, accents and forms of local knowledge, so AI works the way people actually communicate — not just the way the internet happens to be written today.

ARUM Inc is turning decades of Japanese machining expertise into software, and fully automated machining centers. Precision parts can now be crafted by junior workers, thanks to AI. And more guidance will come from KAYA, a prototype conversational AI built with Azure AI Speech and Azure OpenAI in Microsoft Foundry.

You see it over your social feeds: Videos of adorable babies saying oddly grown-up things, public figures making wildly uncharacteristic statements, nature photos too far-fetched to be true. In the era of AI, seeing isn’t always believing.

A new study evaluates today’s methods for determining what’s authentic or manipulated, as well as their limitations, to help people make more informed choices online.

Each of the 32 teams in the National Football League has the same goal: to win a championship. In a league where every yard matters, teams are searching for any possible advantage they can employ to get ahead of their opponents.

For the Minnesota Vikings, who fell short of the postseason in 2025 but have high hopes for the upcoming campaign after finishing with five straight victories, player evaluation, free agency and the NFL Draft are critical elements of the offseason.

In assessing what happened last season and analyzing what steps they should take to make a championship push, the entire Vikings staff — from coaches to scouts to the front office — is using technology as a key component of its evaluation. Fortunately, the team has a powerful tool at their disposal to help with the process.

Imagine a world where you have a digital assistant that can do more than just respond to your questions in a chat. In this future, you could send your assistant out to a digital marketplace to order your groceries, book a flight, or even negotiate the terms of your apartment lease.

These AI-powered agents could interact with agents from companies on your behalf and advocate for you — all without you needing to lift a finger.

That future isn’t just for the world of science fiction. In a paper published Thursday, Microsoft researchers say this kind of open agentic economy is the most beneficial way for AI to move forward, maximizing opportunity for both businesses and individuals.

Ben Sand tried for years to recruit foster families in Oregon – through booths at farmers markets, presentations and endless coffee meetings – with little success. That all changed when his nonprofit organization, The Contingent, collaborated with Microsoft to build a solution using data, analytics and digital marketing to identify prospective foster families and volunteers. The organization has now mobilized over 10,000 prospective foster parents and 40,000 volunteers across three states.

Growing awareness of the harms of excess carbon dioxide in the atmosphere has spurred scientists to develop increasingly sophisticated methods for removing it and storing it safely – in soil, geologic formations, in trees and in the ocean. Microsoft is providing its support to help build a market for these science-based solutions at scale. Read more on Microsoft Source about how these firms are pioneering new technologies to help address global climate targets.

Higher education isn’t just a player in the age of AI, it needs to lead the way. A key way to do this, Juan M. Lavista Ferres, leader of Microsoft’s AI Economy Institute and AI for Good Lab, says, is by making AI literacy a core requirement while remaining true to its longstanding mission. Read on for Lavista Ferres’ four moves that he believes higher ed needs to make, ASAP.

AI platform Zendawa is modernizing Kenya’s neighborhood pharmacies by cutting drug waste, streamlining inventory and unlocking access to credit. Built with Microsoft technologies including Microsoft 365 Copilot and Power BI, it turns everyday pharmacy data into real‑time business intelligence, helping small pharmacies operate more efficiently on razor‑thin margins.

As AI becomes part of everyday life, its impact is increasingly showing up in concrete ways: in how scientists approach discovery, how doctors make decisions, how questions of accountability and inclusion are addressed and how work gets organized.

In the On Second Thought video series, futurist Sinead Bovell speaks with four Microsoft researchers and subject matter experts working directly in these areas.

Generative AI is helping professionals with ADHD, dyslexia and other differences turn obstacles into advantages. Tools like Copilot help manage things like emails and calendars to cut through cognitive clutter. A growing wave of neurodivergent employees point to tangible gains from AI: lower anxiety, clearer communication and more inclusive design that benefits everyone.

In the arid expanse of northwestern Kenya, the Kakuma refugee camp has grown into a sprawling community of more than 300,000 displaced individuals. For years, the camp’s maps were severely outdated — hindering aid delivery, infrastructure planning and emergency response. But now, the community has partnered with Microsoft’s AI for Good Lab and the Humanitarian OpenStreetMap Team to map their camp using drones, community tagging and open‑source AI. The project works  to identify buildings and services, as well as power networks, turning local knowledge into vital spatial data that supports long-term planning. 

AI may finally learn the language of biology — and if it does, that could open the door to true precision medicine. At a recent event in a packed Cambridge brewery, Microsoft researcher Ava Amini explained how generative models could read cells, design new proteins and move beyond today’s one‑size‑fits‑all treatments. Early results are promising, but capturing real biological diversity remains the biggest obstacle. Read on to see what Amini says about the field’s rapid progress and remaining challenges.  

This moment in the era of AI provides a unique opportunity, according to Microsoft CTO Kevin Scott. At a recent gathering of entrepreneurs in San Francisco, Scott explained that powerful new tools, low experimentation costs and untapped model capabilities are just waiting to be unlocked. Read on to see what Scott says founders should be doing to seize this historic moment. 

More than 300 million informal workers on India’s e-Shram database now have a shot at better jobs, thanks to AI. Access to tools like a resume builder and skills gap analyst powered by Microsoft’s Azure OpenAI Service helps them shift to the formal sector, which promises regular hours and social security.

In Chile’s drought-battered Maipo Basin, Kilimo’s data-driven and AI powered water platform is reshaping the rules of farming. By blending satellite data, agronomist know-how and Microsoft Azure, Kilimo helps farmers slash water use. The result is more than 74 million cubic feet of water saved — enough for 10,000 Santiago homes. It has become precision agriculture with real impact, farmers say, and a blueprint for water stewardship around the world.