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Learn prompting fundamentals and how to write clear, effective prompts to get better, more useful responses from ChatGPT.

Learn how marketing teams use ChatGPT to plan campaigns, generate content, analyze performance, and move from ideas to execution faster.

Learn how to build and use custom GPTs to automate workflows, maintain consistent outputs, and create purpose-built AI assistants.

Learn how to research with ChatGPT using search and deep research to find up-to-date information, analyze sources, and generate structured insights.

Explore how clinicians use ChatGPT to support diagnosis, documentation, and patient care with secure, HIPAA-compliant AI tools.

Learn how to use AI responsibly with best practices for safety, accuracy, and transparency when using tools like ChatGPT.

Learn how to analyze data with ChatGPT by exploring datasets, generating insights, creating visualizations, and turning findings into actionable decisions.

Learn what AI is, how it works, and how tools like ChatGPT use large language models. A clear, beginner-friendly guide to understanding artificial intelligence.

OpenAI responds to the Axios supply chain attack by rotating macOS code signing certificates, updating apps, and confirming no user data was compromised.

Explore AI resources for financial services, including prompt packs, GPTs, guides, and tools to help institutions deploy and scale AI securely.

Learn how to create and use ChatGPT skills to build reusable workflows, automate recurring tasks, and ensure consistent, high-quality outputs.

Learn how to create and refine images with ChatGPT using clear prompts, iterate on designs, and generate high-quality visuals in minutes.

Learn how to use ChatGPT for writing to draft, revise, and refine content with clear structure, tone, and intent.

Learn how to use ChatGPT to brainstorm ideas, organize thinking, and turn rough concepts into structured, actionable plans.

Learn how finance teams use ChatGPT to streamline reporting, analyze data, improve forecasts, and communicate insights more clearly.

Explore how OpenAI products like ChatGPT, Codex, and APIs bring AI into real-world use for work, development, and everyday tasks.

Learn how sales teams use ChatGPT to research accounts, personalize outreach, manage deals, and improve pipeline and conversion.

Learn how customer success teams use ChatGPT to manage accounts, improve communication, reduce churn, and drive adoption and renewals.

Learn how to upload and work with files in ChatGPT to analyze data, summarize documents, and generate content from PDFs, spreadsheets, and more.

Learn how managers use ChatGPT to prepare for conversations, write clear feedback, stay organized, and improve team effectiveness.

Learn how to personalize ChatGPT using custom instructions and memory to get more relevant, consistent, and tailored responses.

Learn how to use orojects in ChatGPT to organize chats, files, and instructions, manage ongoing work, and collaborate more effectively.

Explore the official terms and conditions for the OpenAI Full Fan Mode Contest, including eligibility, entry steps, judging criteria, and prize details. Learn how to participate, submit your entry on Instagram, and win IPL match tickets.

CyberAgent uses ChatGPT Enterprise and Codex to securely scale AI adoption, improve quality, and accelerate decisions across advertising, media, and gaming.

OpenAI outlines the next phase of enterprise AI, as adoption accelerates across industries with Frontier, ChatGPT Enterprise, Codex, and company-wide AI agents.

Discover OpenAI’s Child Safety Blueprint—a roadmap for building AI responsibly with safeguards, age-appropriate design, and collaboration to protect and empower young people online.

A pilot program to support independent safety and alignment research and develop the next generation of talent

Explore our ambitious, people-first industrial policy ideas for the AI era—focused on expanding opportunity, sharing prosperity, and building resilient institutions as advanced intelligence evolves.

OpenAI acquires TBPN to accelerate global conversations around AI and support independent media, expanding dialogue with builders, businesses, and the broader tech community.

Codex now includes pay-as-you-go pricing for ChatGPT Business and Enterprise, providing teams a more flexible option to start and scale adoption.

Gradient Labs uses GPT-4.1 and GPT-5.4 mini and nano to power AI agents that automate banking support workflows with low latency and high reliability.

OpenAI raises $122 billion in new funding to expand frontier AI globally, invest in next-generation compute, and meet growing demand for ChatGPT, Codex, and enterprise AI.

AI for Disaster Response in Asia: OpenAI Workshop with Gates Foundation

Learn how STADLER uses ChatGPT to transform knowledge work, saving time and accelerating productivity across 650 employees.

Learn how OpenAI’s Model Spec serves as a public framework for model behavior, balancing safety, user freedom, and accountability as AI systems advance.

OpenAI launches a Safety Bug Bounty program to identify AI abuse and safety risks, including agentic vulnerabilities, prompt injection, and data exfiltration.

OpenAI releases prompt-based teen safety policies for developers using gpt-oss-safeguard, helping moderate age-specific risks in AI systems.

ChatGPT introduces richer, visually immersive shopping powered by the Agentic Commerce Protocol, enabling product discovery, side-by-side comparisons, and merchant integration.

The OpenAI Foundation announces plans to invest at least $1 billion in curing diseases, economic opportunity, AI resilience, and community programs.

To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we’ve built Sora 2 and the Sora app with safety at the foundation. Our approach is anchored in concrete protections.

How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards.

Accelerates Codex growth to power the next generation of Python developer tools

GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.

OpenAI Japan announces the Japan Teen Safety Blueprint, introducing stronger age protections, parental controls, and well-being safeguards for teens using generative AI.

New research shows Americans send nearly 3 million daily messages to ChatGPT asking about compensation and earnings, helping close the wage information gap.

AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, there would be no Google Cloud, as they are the ones building the future on our platform. In this regular round-up, we dive into some of the exciting projects redefining businesses, shaping industries, and creating new categories.  For our latest edition, we explore Uber’s revamped network with modern edge; smarter, AI-infused site search at Target; a wicked fast blockchain built by Keeta Network; HCA Healthcare empowers its nurses with a new AI-powered information portal; Deutche Telecom enhances its data science workloads; Google’s AI infrastructure

A year ago today, Google Cloud filed a formal complaint with the European Commission about Microsoft’s anti-competitive cloud licensing practices — specifically those that impose financial penalties on businesses that use Windows Server software on Azure’s biggest competitors.  Despite regulatory scrutiny, it’s clear that Microsoft intends to keep its restrictive licensing policies in place for most cloud customers. In fact, it’s getting worse.  As part of a recent earnings call, Microsoft disclosed that its efforts to force software customers to use Azure are “not anywhere close to the finish line,” and represented one of three pillars “driving [its] growth.” As we approach

AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, there would be no Google Cloud, as they are the ones building the future on our platform. In this regular round-up, we dive into some of the exciting projects redefining businesses, shaping industries, and creating new categories. For our latest edition, we explore Box’s AI agents extracting insights with cross-platform agent integration; Schroders uses multiple connected agents to build a complex investment research system; Hypros’ IoT device can monitor patient distress in hospitals without individual monitoring; a Formula E exhibition of whether regenerative braking

There’s a buzz of excitement here at Tobacco Dock as we welcome our customers and partners to the Google Cloud Summit London. Together, we’re exploring the essential role Google Cloud is playing in driving AI innovation and adoption across the UK. Today is about shining a spotlight on our customers and partners, focusing on the real-world stories of how they are accelerating innovation, realising value, and reshaping entire industries with the powerful combination of AI agents and robust cloud infrastructure. The opportunity ahead is immense. AI is poised to inject more than £400 billion into the UK economy by 2030, and

AI and cloud technology are reshaping every corner of every industry around the world. Without our customers, there would be no Google Cloud, as they are the ones building the future on our platform. In this monthly round-up, we dive into some of the exciting projects redefining businesses, shaping industries, and creating new categories.  For our inaugural edition, we explore Lowe’s new Visual Scout product recommendation engine powered by Vertex AI Vector Search; a responsive “Driver Agent” platform created by Formula E to bring more equity to the track; Ester AI, a conversational tool from wealth.com that can help financial planners

WEEK OF DEC 16 - DEC 20 * Windows Server 2025 is now available on Google Compute Engine. We are excited to announce the general availability of Windows Server 2025 on Google Compute Engine. You can now run Windows Server 2025 Data Center, and Windows Server 2025 Data Center Core editions as well as Windows SQL Server 2022 on Windows Server 2025 with pay-as-you-go licenses. Customers that don’t already have a Microsoft Enterprise Agreement can use the Google Compute Engine’s provided image to take advantage of Google Cloud’s relationships with Microsoft for pay-as-you-go licenses that scale with your workload and

If you’re a regular reader of this blog, you know that 2024 was a busy year for Google Cloud. From AI to Zero Trust, and everything in between, here’s a chronological recap of our top blogs of 2024, according to readership. You’ll probably see some favorites on this list, and discover a few that you missed the first time around.  JANUARY We started the new year strong, removing data transfer fees for anyone moving data off of our platform. Translation: Anyone doing cool things on Google Cloud (like using generative AI to analyze their microservices deployment) is doing it because they want

Over the past year, the pace of innovation across industries and around the world has been extraordinary. At Google, we're inspired by the public sector’s ingenuity and speed in adopting our AI and security innovations to achieve remarkable outcomes together. Since Google Cloud Next, we've launched more powerful versions of Gemini, rolled out Gemini Flash and Imagen 3. And we're proud to showcase inspiring examples from the public sector, highlighting how organizations are leveraging generative AI to drive transformative change. From state agencies streamlining citizen services to healthcare providers improving patient outcomes and defense organizations enhancing mission readiness, public sector organizations

Editors note, November 28th, 2025: “We filed our antitrust complaint with the European Commission (EC) to give voice to our customers and partners about the issue of anticompetitive cloud licensing practices. Today, we are withdrawing it in light of the recent announcement that the EC will assess problematic practices affecting the cloud sector under a separate process. We stand behind the arguments outlined in the blog below, and we continue to work with policymakers, customers, and regulators across the EU, the UK, and elsewhere to advocate for choice and openness in the cloud market." - Giorgia Abeltino, Head of Government

Want to know the latest from Google Cloud? Find it here in one handy location. Check back regularly for our newest updates, announcements, resources, events, learning opportunities, and more.  ---------------------------------------- Tip: Not sure where to find what you’re looking for on the Google Cloud blog? Start here: Google Cloud blog 101: Full list of topics, links, and resources. ---------------------------------------- WEEK OF DEC 10 - DEC 15 * Announcing Launch of Cross Cloud Materialized Views: To help customers on their cross-cloud analytics journey, today we are thrilled to announce the public preview of BigQuery Omni cross-cloud materialized views (aka cross-cloud MVs). Cross-cloud MVs allow customers to very

To our customers: At Google Cloud, we put your interests first. This means that when you choose to work with us, we become partners on a journey of shared innovation, shared support, and shared fate. We are committed to helping you evolve as technology advances, drawing on our depth of experience to ensure you can use the latest and best technology, while keeping you safe and protected. When it comes to the rapidly developing world of generative AI, this is imperative. Earlier this year, we embedded Duet AI — an always-on AI collaborator — across our products, from Google Workspace to Google

Editor’s note: Jack Ngare is a Technical Director in Google Cloud’s Office of the CTO based in Nairobi, Kenya. A native of Kenya, he worked in telecommunications abroad for 12 years before returning home to work for a large African financial institution and a U.S. technology company. He joined Google Cloud last year with a mission to digitize and modernize Cloud’s global top customers, while simultaneously growing Africa's entrepreneurial technology culture.  ---------------------------------------- What is the opportunity you see before you? Working at Google Cloud, I’m able to bring people some of the world's best software and hardware engineering. I also see the possibility

Editor’s note: Alicia Abella is the Managing Director for Telecommunications Industry Solutions at Google Cloud. The work involves bringing complex, advanced technology to businesses across diverse markets and cultures — from startups in Brazil to North America's largest telecommunications companies. The daughter of immigrants from Cuba, she has a PhD, 29 patents, and extensive experience running teams and working with customers. ---------------------------------------- Did you always see yourself bringing new inventions into the world?  No, not at all. I grew up in Queens, New York — the only child of Cuban immigrants. My parents worked hard and saved money so I could get an

We’re excited to share that Gartner has recognized Google as a Leader in the 2023 Gartner® Magic Quadrant™ for Enterprise Conversational AI Platforms, authored by Bern Elliot and Gabriele Rigon. We believe this recognition is a testament to Google Cloud’s robust investments and commitment to innovation in AI, coupled with a deep understanding of enterprise customer needs. Enterprises are increasingly investing in AI-driven solutions that balance addressing customer expectations with operational efficiency. At a time when the demand for quality, performant, and trustworthy conversational AI has never been higher, we’re thrilled to continue to deliver best-in-class technologies, purpose-built to solve our

Editor’s Note: José Neto works in Google Cloud's São Paulo office, assisting customers in both hybrid/on-prem cloud computing systems, and modernizing computer applications for the cloud. It's appropriate work; a native of Salvador, Brazil, he's spent decades harmonizing the past and the future, dealing with radical change, and staying comfortable amid uncertainty as he moves forward.  ---------------------------------------- What do you think defines how you work? It's the way I look at experience. When I work with a customer, I'm interested in helping them fix a problem or build a new service—it's very personal for me. I love working towards results. I always ask what

Hello, friends. AI agents are getting more capable and more dangerous when they fail, and that's pushing companies like Guild AI to build a safety layer that could define the next phase of enterprise AI. Samsung’s Galaxy S26 Ultra offers an early glimpse of the agentic phone, where AI quietly handles tasks in the background and occasionally takes action for you. And Meta is finally back in the frontier models race with Muse Spark, a fast, multimodal model that signals a shift from purely open models to product-driven AI. Its early performance benchmarks are respectable, even if it still trails

Hello, friends. As AI gets more powerful, the real story is whether institutions can keep up. Anthropic is holding back a top model because it may be too dangerous to release, a rare sign that caution can still beat competitive pressure. Meanwhile, some companies are using AI as cover for layoffs, even though the smarter long-term play is redesigning jobs, not cutting them. And in an exclusive interview with The Deep View, the lead researcher of OpenAI's new policy blueprint shared why the document argues that society needs a New Deal-like rethink of AI’s role in the world before the

Hello, friends. Robotics is entering its pretraining era, as Generalist shows how data and scaling laws could unlock more capable machines. At the same time, AI is increasingly being framed as infrastructure akin to electricity, pointing to a future where intelligence becomes always-on and rarely noticed. Anthropic has surged past $30B in ARR, signaling that enterprise demand, not consumer hype, is shaping the winners of the AI boom. All in all, AI’s center of gravity is moving toward wins that are under-the-radar, operational, and measured by outcomes. —Jason Hiner IN TODAY’S NEWSLETTER 1. ANTHROPIC PASSES $30B ARR AFTER PENTAGON CLASH 2.  WHY AI

Hello, friends. Enterprises are starting to move past copilots and toward AI products that deliver measurable results inside real-world workflows. This is a shift Gartner says will define the next phase of enterprise AI adoption. A new study shows how easily humans defer to AI reasoning, raising deeper questions around how we can be more intentional about what we choose to do manually versus what we allow to be automated. Meanwhile, Nvidia’s push into highly open models is less about becoming a lab and more about expanding the AI ecosystem, reducing dependence on a few proprietary models. —Jason Hiner IN TODAY’S

Hello, friends. OpenClaw’s rise shows that the future of AI agents will be shaped less by the model and more by the surrounding stack: memory, triggers, execution, and security. The intelligence layer is becoming interchangeable. The real advantage will come from who controls the architecture, permissions, and costs. Thanks for tuning into this special weekend edition, presented in partnership with Composio. Let us know what you think! —Jason Hiner OPENCLAW BLEW UP. HERE'S WHAT IT ACTUALLY TELLS US ABOUT THE FUTURE OF AI AGENTS. If you've been anywhere near a developer community this year, you've seen OpenClaw. The open-source AI agent went

Hello, friends. Managing AI models is getting more challenging as engineering teams juggle multiple providers, rising costs, outages, and governance risks. Merge just launched its Gateway platform to centralize routing, control spend, and log every model decision in one place, turning a messy layer of AI infrastructure into something more accountable. Thanks for tuning into this special weekend edition, presented in partnership with Merge. Let us know what you think! —Jason Hiner CONTROL LLM RELIABILITY AND SPEND FROM ONE PLACE Every model provider your engineering team integrates with comes with its own API,  rate limits, failure modes, and bill.  This leads to fragmented

Hello, friends. Google is reframing the AI race with Gemma 4, betting that smaller, efficient models can outperform larger ones where it matters: cost, latency, and real-world deployment. Box makes the case that context, not models, will define enterprise AI, turning models into interchangeable commodities behind a secure data layer. And Anthropic’s latest research is a reminder that AI’s human-like emotional language can mislead people. As these systems grow more powerful and persuasive, understanding their limits may matter as much as tapping into their latest capabilities. —Jason Hiner IN TODAY’S NEWSLETTER 1. AI FAKES EMOTION, BUT THE CONSEQUENCES ARE REAL 2. GOOGLE RETHINKS

Welcome back. AI coding is reshaping hiring faster than expected, with most engineers now working alongside agents and shipping AI-generated code into production. And surprise, surprise: That shift is expanding demand for developers, not shrinking it. Apple, meanwhile, is tightening control over vibe-coded apps that bypass its review process, signaling how seriously it remains about security and platform control. And Anthropic is dealing with fallout from its major Claude Code leak that exposed its secret sauce and future plans. As AI scales, process failures and trust gaps may matter as much as model breakthroughs. —Jason Hiner IN TODAY’S NEWSLETTER 1. CLAUDE CODE

Welcome back. Google is moving in to fill the void in AI video, cutting Veo prices as OpenAI retreats from Sora and redirects its compute. Slack, meanwhile, wants to make a case for becoming the central AI workspace by upgrading its Slackbot to handle meeting notes, desktop actions, and deeper access to tools. But the biggest story is what comes next from OpenAI and Anthropic. Their next models look poised to push agents into a more powerful phase that could unleash both incredible productivity gains and enormous cybersecurity risks. The next leap in AI is bearing down on us. —Jason

Welcome back. Snowflake's VP of AI told us the company is further along in its AI transformation than most people realize, and that the SaaSpocalypse may actually be Snowflake's big moment. Meanwhile, the AI narrative is fracturing on multiple fronts. A new Quinnipiac poll of 1,400 Americans finds 55% believe AI does more harm than good, up 11% year-over-year. And the rest of the data in the study doesn't paint a pretty picture either. If you're looking for a way to help friends and family get real value from AI right now, I have four tools worth recommending to anyone.

Hello, friends. Snowflake is quietly reinventing itself for the AI era by giving coding tools to every employee, launching new AI agents, and rethinking data governance from the ground up. This week’s conversation digs into how a stalwart SaaS giant is using AI not just to survive the SaaSpocalypse, but to emerge as an AI leader on the other side. Thank you to Airia for sponsoring this episode. —Jason Hiner AI LIFTS SNOWFLAKE AS SAASPOCALYPSE SPREADS Snowflake has been a stalwart of the SaaS economy and a leader in enterprise data for the past decade. But the company is deep in the middle

Welcome back. Reddit and Wikipedia are drawing hard lines against AI-generated content while also licensing their data to AI labs to train models. The irony is hard to miss. With new Codex plugins, OpenAI keeps getting more serious about enterprise, pivoting from novelty to utility. And Claude's meteoric growth is hitting real-world limits. Its outages have dropped uptime below 99% and its new peak-hour usage rates amount to surge pricing for chatbots. Growth is great until infrastructure can't keep up. All three stories point to a common trend: AI is maturing fast, and the friction is showing. —Jason Hiner IN TODAY’S

Welcome back. As chatbots and agents sound more human-like, people keep mistaking their quirks for consciousness, which makes AI literacy more urgent than ever. AI may get dramatically cheaper to run by 2030, but that does not mean enterprises will automatically pay less. Agents will keep driving token demand higher. That will force companies to match the right models to the right jobs in much smarter ways. Apple may have found its smartest AI play yet: be the best AI interface and run all the models. This would turn Siri into a platform that routes to the best AI models

Welcome back. OpenAI’s decision to shut down Sora shows how quickly the AI market is narrowing to products with a clear revenue trajectory, leaving the AI video market to rivals better positioned than xAI—no matter how bad they want it. Mistral, on the other hand, is prioritizing voice AI, with a lean text-to-speech model to pursue a hands-free future and boost productivity. And in my conversation with Neurometric CEO Rob May, one theme came through clearly: the era of one giant model doing everything is over. Small, task-specific models are emerging as one of the most effective ways to cut

Welcome back.  Microsoft’s move to lease 700 megawatts of former OpenAI and Oracle capacity in Texas is a reminder that the AI infrastructure race is bigger than any one company, and that power has become the industry’s scarcest asset. Meanwhile, the White House is trying to narrow the AI skills gap by offering a free, text-based course to make AI more accessible to workers across the U.S. And OpenAI is putting $1 billion into philanthropy aimed at mitigating AI’s harms, which could also quietly reinforce the broader narrative that ever more powerful systems will ultimately serve the public good. —Jason