WRITER

🎓Introducing WRITER AI Academy, built for enterprise marketing teams ready to move past basic prompting and into real, agentic workflows. We all know the pressure to "adapt or die" with AI. But finding time to actually build workflows that save you hours? That's the hard part, especially when you're already stretched thin. That's why today, we're opening the doors to WRITER AI Academy for everyone (no account required). Our new flagship Passport curriculum, live workshops, and hands-on demos will help your team break through the AI plateau and put it to work for real. So you can get back to the human connections and judgment calls that only you can make. Upskill your team. Earn credentials. Redesign how you work. So, what will you build first? 👀 academy.writer.com/?utm_source=x&…

Blog publishing is tedious. Draft the post, copy-paste into WordPress, format everything, find images, set categories, update project trackers, notify your web team. We built a skill in WRITER that does all of it. It connects to Google Docs and WordPress, drafts in your voice, generates images, stages to your CMS as a draft ready for review. Layer on Asana and Slack and it updates the blog status and notifies your web team automatically. A single prompt now handles your entire workflow! 💪

Everyone keeps repeating line: "AI costs are dropping 10× per year." And the bills are still going up. 😅 Per-token prices fell ~150× from GPT-4 to GPT-4o. In the same window, enterprise AI spend went from $11.5B to $37B in a single year. Across Ramp's customer base, AI spend grew 13×. The price curve is collapsing. The bill curve is exponential. They are not the same curve. Here's what's actually happening in 2026: → Peter Steinberger ran 100 coding agents in parallel for one month. The bill: $1,305,088. 603 billion tokens. 7.6 million requests. OpenAI covered it as an experiment in "how software would be built if token costs didn't matter." → The creator of Claude Code told Lenny's Podcast that Anthropic's own engineers are spending "hundreds of thousands a month in tokens." One was clocked at $150K/month. Single engineer. → Salesforce told the All-In Podcast they expect to spend $300M on Anthropic in 2026. Mostly coding. → Uber's CTO publicly admitted they burned through the entire 2026 AI budget in 4 months. → One Claude Max user — on the $200/month plan — consumed $51,291 of compute in a single calendar month. → Anthropic now has 1,000+ customers spending $1M+/year on tokens. Two years ago that number was 12. And the kicker, for anyone watching the wrapper layer: @cursor_ai paid an estimated $650M to @AnthropicAI last year on ~$500M in revenue. Negative 30% gross margin. Their @awscloud bill doubled in 30 days when @AnthropicAI introduced priority tiers. Their response was the only response that works — they shipped their own model, Composer. @github Copilot loses $20/user/month. Replit's gross margin swung between 36% and negative 14% in 2025. Every coding company that survives is quietly building or buying its own model. The ones that aren't, won't be here in 18 months. Why is this happening? The per-token price is the supply curve. Nobody is tracking the demand curve. Reasoning models burn 10–100× more tokens than the models they replaced. Agents burn thousands of times more than chat. Context windows expanded 100×. Headline rate goes down 10×. Tokens consumed per task go up 100×. You do not need a CFO to finish that math. And the frontier labs themselves are not winning this game. OpenAI's adjusted gross margin fell from a 46% target to 33% in 2025 as inference costs quadrupled. Anthropic spent $2.66B on AWS through September 2025 on $2.55B of revenue — they are paying more for compute than they collect from customers. So they're doing what any business under that pressure does: splitting subscription tiers, retokenizing Opus to bill 35% more for the same text, killing unlimited plans. OpenAI's head of ChatGPT said it out loud: "Unlimited AI is like an unlimited electricity plan. It doesn't make sense." That sentence is the entire enterprise AI strategy debate in 11 words. If you are a Fortune 500 CTO renting frontier API tokens for your production workload, you are not buying a falling price. You are buying a contract whose volume your own product roadmap is engineered to multiply, against a provider whose unit economics require that multiplication. Your bill in 2027 is not going to be smaller. It is going to be the size of an engineering org. The companies that figured this out early — @cursor_ai with Composer, @cognition with SWE-1.5, @Get_Writer with Palmyra-LLM. RL-tuned on the workflows that actually matter. The math is not subtle: a domain-tuned model running on your own hardware beats a frontier API on cost-per-task by one to two orders of magnitude on the workloads that matter most. Per-token prices will keep falling. Enterprise token bills will keep rising. The only way out of that scissors is to stop being a tenant. The frontier labs are great at research. They are not your infrastructure. Build the model.

WHAT A DAY! 🙌 Yesterday, we gathered in Chicago for our Agentic Enterprise Go-to-Market Executive Series. We heard from Tara Castrejon (@NewAmericanTeam), Will Zheng (@FocusFinancial), and Marilia Moreira (@WhirlpoolCorp) who gave us an unfiltered look at what transformation actually looks like inside modern enterprises and how they are navigating the shift toward modern go-to-market strategies. Together, we explored a critical truth: marketing leadership has to evolve before an organization can truly transform. We dug into what it takes to drive adoption, build the right culture, and deliver measurable results as teams shift toward AI-powered go-to-market strategies. To close out the day, Danny Graziosi and Matt Sobel led a 90-minute hands-on build session. Attendees brought real go-to-market challenges and built custom playbooks in WRITER that they can take back to their teams immediately. Huge props to everyone who joined us to shape the conversation and show us what's possible when you put strategy into action! Next up: NYC on June 11: go.writer.com/roadshow-2026-…

55% of enterprise marketing teams describe their AI rollout as a "chaotic free-for-all." That chaos has a sound. It sounds like "leverage." Like "unlock unprecedented value." Like copy that could belong to any company in your category... and probably does. 🫠 That's what's on the left. Same prompt, no brand standards applied. Twelve AI-isms. Score: 36/100. The right is what happens when your voice, terminology, and messaging frameworks are built into the AI before generation starts. Score: 97/100. Most teams are still trying to fix this in review. Our newly launched AI and Brand Integrity Guide makes the case for fixing it in the infrastructure instead: go.writer.com/ai-brand-integ…

That’s a wrap on an incredible few days at the @Gartner_inc Marketing Symposium/Xpo™ in London! 🇬🇧 We loved hearing from so many forward-thinking marketing leaders who are eager to shape the future of work with AI. A major highlight for us was Patrick Shephard taking the stage to discuss "The AI Operating Model that Scales" and explore how Fortune 500 enterprises are successfully moving their AI initiatives from pilots to production. If there’s one key takeaway we’re bringing home, it’s this: The difference between AI ambition and real, organization-wide impact isn't just the technology, it’s the operating model. And the companies at the symposium are at the edge, leading the way for true AI transformation. Thank you to everyone who stopped by to chat, attended WRITER’s session, and shared their insights with us. We are excited to continue building this future together!

Next week, the Agentic Enterprise executive series is coming to Chicago! 🏙️ We're SO excited to facilitate an unfiltered conversation on the future of GTM with a powerhouse lineup of innovators, including Marilia Moreira (Director of Digital Marketing, @WhirlpoolCorp), Tara Castrejon (SVP Head of Marketing, @NewAmericanTeam, Will Zheng (Senior Director of Corporate Strategy, @FocusFinancial), and more! Plus an opening keynote from our CMO @diego_lomanto on why marketing leadership has to evolve before the rest of the organization can. These leaders are already running the plays others are still debating. They're bringing the unfiltered truth on what's moving the needle, and what's not, as they build AI into the core of how their organizations operate. Join us! go.writer.com/roadshow-2026-…

Most AI research reports are just educated guesses dressed up as facts. Ask a chatbot for financial analysis and you get something that sounds smart—until you realize it's pulling from training data that's months or years old. For wealth managers, that's not a time-saver. That's a liability. We built a playbook in WRITER to solve this. It connects directly to live sources: Federal Reserve's FRED database, OECD, World Bank, SEC Edgar to pull fresh economic data each run, along with normalizing, citing properly, and formatting to your brand voice. 🍒on top? The whole thing was built by a business user. Zero coding required. When your research report needs to be defensible, this is how you do it.

WRITER 🤝 Unilever Last month, we spent a day with @Unilever's global marketing team in London — empowering creative marketers to become agent builders, generate on-brand briefs, and unlock social intelligence to drive marketing automation. The outcome? Rethinking how marketers drive social marketing automation across 250+ markets and brands. It wasn’t about replacing the tools they had, but unlocking the potential in their existing ecosystem. From fragmented tools to unified intelligence, marketers now have brand guidelines and product positioning at their fingertips. At the click of a button, marketers can generate on-brand content. We loved seeing the Unilever team jump in with both feet. We're SO excited for what you build next! ❤️

Your IT team just got asked to deploy WRITER to six different teams. Problem: Sales needs Gong and CRM access. Legal needs read-only. Marketing wants the full stack. And nobody wants the intern accidentally touching a live workflow. One-size-fits-all fails. Six separate chatbots are a maintenance nightmare. Agent and connector profiles solve that. One platform, with exactly the right capabilities, interface, and security settings per team. All managed from a single place in AI Studio. ✔️ Toggle features on or off per team ✔️ Assign connector permission by team ✔️ Pre-configure Knowledge Graphs and security settings per profile ✔️ Customize the interface, greetings, and disclaimers ✔️ Control public sharing capabilities per profile Full WRITER power, scoped to exactly what each team needs. Set it up once. Manage it from one place. Scale it everywhere.

Nine hours back every week 😳 That's what AI super-users are saving. Their colleagues? Just two hours, with the same tools and the same access. A 4.5X gap. We surveyed 2400 people for our 2026 AI Adoption in the Enterprise report, to figure out who these people actually are. → They’re younger: 43% of Gen Z are super-users, versus 25% of Boomers → They tend to work in marketing, HR, sales, and support (jobs with a lot of repetitive, back-to-back work) where nearly 4 in 10 people have become power users → And they're getting ahead: 3x more likely to have been promoted or gotten a raise in the past year. Companies are seeing this and actively cultivating this new class of AI-first employees. They’re putting these people on high-visibility projects, tracking who uses AI well, and treating it as a signal of future potential. 77% of executives say they won't promote people who don't learn to use AI. How performance gets measured, who moves up, even how teams get built, all of it is shifting. But there’s a missing link. Only 29% of executives say they're getting real ROI from AI. All that individual productivity isn't turning into company-wide results – because consumer AI tools were built for one person at a desk. There's no way to spread what a super-user figures out across a whole team, or to use it to rethink how departments work together. 23% of executives are taking a different approach to ROI, and they're getting unstuck. Read the full report to find out how: go.writer.com/ai-adoption-en…

The most successful leaders are the ones getting hands on with AI. The leaders getting ahead aren't watching from the sidelines, they're in it everyday. Colin Kelton's take: handing off AI is exactly the wrong move. When a leader creates space and culture for bottom up innovation, teams stop waiting for permission and start moving. And that’s how a 700 person marketing org starts redesigning its engine for greater productivity and faster revenue growth with AI. The strategy phase is over. The leaders figuring this out are rebuilding workflows and bringing their teams with them. On May 14 in Chicago, we're bringing together an exclusive group of CMOs and GTM leaders to share more on leading in the AI era. Join us: go.writer.com/roadshow-2026-…

New in WRITER: More autonomous agents. More enterprise control. With new event-based triggers, WRITER now listens to the tools your teams live in every day: Gong, Google Calendar, Drive, SharePoint. The moment it detects a signal, it kicks off the work, running research, generating content, updating systems, without anyone typing a prompt. Here's what that looks like: Your sales call just ended. The second it wraps in Gong, WRITER autonomously fires a Playbook. Next thing you have: ✔️ Call summary written ✔️ CRM updated ✔️ Action items routed ✔️ Recap sent The call ending was the ONLY trigger it needed. Also new this month: Our new Adobe Experience Manager connector closes the last mile of content publishing, so you now have a marketing brief to live asset, without leaving your workflow. PLUS major admin and security upgrades including Connector Profiles, AI Studio Observability, and custom encryption keys, so you can deploy all of it with total confidence. Here’s a deeper dive into the new triggers, connectors, and governance controls: writer.com/blog/new-round…

And that's a wrap on #AdobeSummit 🙌 A huge thank you to everyone who stopped by the WRITER booth to explore how enterprises are transforming content operations with AI. Key highlights: ✔️Announced our partnership with @Adobe — WRITER is now powering content creation inside Adobe GenStudio for Performance Marketing, helping teams generate on-brand, compliant content at scale alongside Adobe's Firefly models ✔️Hosted an executive dinner full of momentum, insights, and new relationships ✔️Lit up the LED trucks around town The conversations last week reminded us why this work matters. We're proud to partner with Adobe to help enterprises transform how content gets done. Here's to building what's next!

@ifs, one of the world's leading enterprise software companies, just turned weeks of work into 30-minute automated processes. Over the past few weeks, our team has been running onsite workshops with their marketing team to build playbooks and agents in WRITER ranging from: → Automated persona scoring and sales alignment workflows → Data quality ops that cut weeks of work to 30 minutes → Account plans and GTM builders for strategic ABM → Full-stack multi-channel campaign automation → Deep integrations across their marketing stack 20+ automations built across our sessions together. Huge thanks for having us. We can't wait to keep going! 🙌

Most conversations about AI agents focus on capability. But who maintains the knowledge they rely on? Stack Overflow went from millions of questions per month to nearly zero in just 3 years. Developers stopped asking humans and just asked AI instead. That’s a preview of what's  hitting enterprises right now. Agents are inheriting our messy, contradictory knowledge. Three versions of the same policy. Pricing that differs between sales, the wiki, and finance. Humans navigate this mess through judgement and  relationships. Agents can’t. So a new role is emerging: AI curators. People who maintain the knowledge base like infrastructure – because now the consumer of bad information isn’t a human who’ll catch the error. It's an agent that may act on it directly. Our VP of Product, @MatanPaul wrote about the jobs this creates and why most organizations aren't ready for this shift yet: writer.com/blog/ai-agents…