Three in four enterprise AI customer service agents get rolled back or shut down after deployment. Not before launch. Not in testing. After they're live, af...
Picture a senior executive at a well-known public tech company. She runs roughly a thousand engineers. Nearly every one of them uses AI. And yet, as Azeem Azhar...
Picture this: you've picked a reputable AI vendor, signed the contract, and handed the project to your technical team. Six months later, the pilot is techni...
Picture the typical mid-market executive right now. There's a ChatGPT tab open in at least three browser windows across the office. Marketing is using one A...
Here's a scenario playing out in boardrooms across mid-market America right now: the operations team rolls out an AI agent for customer support. Three month...
Four months. $3 million in business value. Zero training sessions before launch. Those numbers belong to Jean-Paul (not a human executive, but an AI agent built...
Picture two manufacturing companies, both with $30M in revenue, similar margins, and roughly the same customer base. One has spent the past 18 months embedding...
Last year, American enterprises spent an estimated $40 billion on AI systems. MIT researchers studied 300 of those deployments, interviewed 150 executives, and...
At the leading midmarket companies right now, there are 144 digital workers for every human employee. They don't require benefits, they don't need onboa...
Amazon Ring needed help. Holiday season was bearing down, inbound call volumes were spiking, and the team faced three options: expand the call center headcount,...
Ninety-one percent of mid-market companies now use generative AI. That number sounds like a success story until you read the rest of the RSM Middle Market AI Su...
Uber's CTO Praveen Neppalli Naga made a quietly alarming admission earlier this year: his entire 2026 AI tooling budget, set aside for the full fiscal year,...
Uber's CTO Praveen Neppalli Naga said it bluntly: "The budget I thought I would need is blown away already." And it wasn't because of some fri...
Last Monday, Anthropic dropped an announcement that had nothing to do with a new model, a benchmark, or a safety paper. Instead, the company unveiled a $1.5 bil...
Three things happened this week that, taken together, are hard to dismiss as noise. Google rebranded Vertex AI into the Gemini Enterprise Agent Platform, a grou...
Picture the pitch: your ERP vendor flies a team of consultants into your headquarters, walks you through a glossy deck on AI transformation, and promises you au...
Picture a mid-sized company that bought three AI subscriptions last year. One sits in the marketing team's browser, half-used. One was trialled by finance,...
Most AI agent initiatives at mid-market companies follow the same arc: a VP or IT director stumbles onto an impressive demo, gets budget approved, runs a pilot...
Picture this: Your team spent six months and a meaningful chunk of the IT budget on an AI pilot. It worked. Leadership was impressed. Someone put together a dec...
Fifty-six percent of CEOs say their AI investments have produced no significant financial return. Read that again. After two-plus years of breathless AI enthusi...
Fifty-six percent of CEOs say their AI investments have produced no significant financial return. That finding comes from PwC's 2026 AI Performance Study, r...
Picture your smartest employee. Now imagine asking that person to simultaneously manage procurement negotiations, write compliance documentation, analyze demand...
Picture a company with a dozen AI pilots running simultaneously. Sales has a chatbot. Finance is testing a forecasting tool. Someone in operations built somethi...
Uber burned through its entire annual AI budget in four months. Not because something went wrong — because something went right. Engineers loved Claude Code. Us...
Every few months, someone in a leadership meeting asks the same question: "Should we be on GPT-4o, or are we switching to Gemini?" The room leans in....
Every quarter, I end up in some version of the same conversation. A leadership team, smart people with real P&L pressure, sitting in a conference room: &quo...
Most enterprise AI stories follow the same arc: a tech company launches something impressive, analysts get excited, and everyone else wonders how it applies to...
Picture a logistics company in the Midwest. They've been on a waitlist for an enterprise AI tier from one of the big three API providers for six months. In...
The demo goes great. Heads nod around the conference table. Someone says "we should build this." Then the meeting ends, and an engineer quietly pulls...
Picture this: Your VP of Customer Operations walks into the quarterly review beaming. Ticket deflection is up 40%. Average handle time is down. The AI deploymen...
The meeting will go something like this: your board will ask what the company's AI investment has actually returned. You'll have a slide deck full of pi...
Most coverage of big AI research stops at the headline. "Stanford releases enterprise AI playbook." Click. Skim. Close tab. Back to your inbox. That w...
Picture this: your top analyst finishes a client report in two hours instead of eight. She's using AI to cut through the research, draft the narrative, and...
Picture this: Your company just closed a six-figure deal for an AI platform. The vendor demo was flawless, the board signed off, and IT spent three months getti...
Picture the scene: your company just signed the contract for a shiny new AI platform. The vendor demo was impressive. The procurement process was painful. IT sp...
Companies are pouring 93% of their AI budgets into technology and only 7% into people. Deloitte CTO Bill Briggs called this finding "stunning" — and p...
Picture the org chart at most mid-market companies right now. Someone has drawn a box labeled "AI Strategy" and connected it (with great confidence) t...
There's a question rattling around every enterprise planning meeting right now: do we rip out our legacy systems and go all-in on AI-native platforms, or do...
Picture this: a customer emails in a PDF purchase order. Someone on your team opens it, reads it, types the line items into the ERP, checks inventory logic, app...
Three out of four mid-sized companies are running AI experiments. Only one in four is doing anything with the results. That's the finding buried inside new...
Picture this: you've spent the last 18 months carefully rolling out AI copilots across your sales, HR, and ops teams. Your stack has grown to include a writ...
Picture your procurement team's new AI agent — the one they spun up last quarter to streamline vendor orders. It's been quietly running for three months...
On February 3, 2026, Anthropic quietly pushed 11 open-source plugins for Claude to GitHub. Within a single trading session, $285 billion in SaaS market cap evap...
Picture this: nearly every executive in your peer group has already told their board that AI is a strategic priority for the next 12 months. The plans are writt...
Picture a business owner on a Tuesday morning, acting simultaneously as CEO, CFO, and COO. Buried in spreadsheets, guessing at cash flow, making financial calls...
Picture this: your team spends six months standing up an agentic AI system to handle customer support. The demo looks incredible. Then you push it to production...
There's a meeting that happens in virtually every mid-market company right now. Someone from engineering makes the case for building a custom AI system: pro...
Three product launches landed within days of each other this week. One promises to find hundreds of millions in hidden revenue. Another takes over your entire c...
Microsoft doesn't move its enterprise pricing tiers often. The last time it introduced a new one was 2015, when E5 landed with a full suite of security, com...
Picture the scene: it's your quarterly business review. The AI team presents a polished dashboard. Customer churn risk is flagged in amber. Resource bottlen...