Editorial
Writing
Stories from the masthead, plus notes from the desk. Bylines are the authors we defined — not one voice on every URL.
Friar said jobs. Census said 2%.
On 15 September OpenAI CFO Sarah Friar said the company’s products limit how many people finance needs, then said the result is not fewer people but more work at the edge. Census finds reported employment decreases in 2% of AI-using firms.
Gary Stanton · September 16, 2026
Copilot is a tenant tax, not a second ChatGPT
Microsoft 365 Copilot is worth the seat if the work already lives in Word, Outlook, and Teams. It is an expensive way to buy another chat tab. Here is the seat math, and when to skip it.
Gary Stanton · September 16, 2026
The Seat-Cost Trap: Why Microsoft 365 Copilot Isn't Competing With ChatGPT Team
Three weeks ago, a director of operations bought Copilot licenses because finance said 'we already own Microsoft 365.' Two months later, her team was using ChatGPT on personal accounts anyway. Here's why that's not a product problem—it's a workflow problem.
Ren Oshiro · September 15, 2026
Shadow AI Is Already Your Production Stack. Treat It Like One.
Your team has already solved the AI adoption problem—they've just done it without asking permission. Here's how to inventory what's running, contain what's dangerous, and convert it into legitimate competitive advantage in 30 days.
Priya Subramanian · September 15, 2026
Agents Are Not Automations: The Decision That Saves Ops Teams Six Months
Operations teams are deploying AI agents using automation logic—and breaking their systems within weeks. The fix isn't better tools. It's understanding where agents belong in your stack.
Jules Marchetti · September 15, 2026
Your Recruiters Already Pasted Resumes Into ChatGPT. Here's How to Govern It Before Legal Does.
Every recruiting team is already using AI to screen candidates—without contracts, audit trails, or explainability. The companies shipping fast aren't banning it. They're systematizing it.
Dara Keating · September 15, 2026
The Helpdesk Trap: Why AI Chatbots Fail and What Support Ops Should Deploy Instead
Most teams deploy chatbots to reduce support volume and end up paying for both the bot and the people anyway. The problem isn't the AI. It's the order of operations.
Tomas Lindqvist · September 15, 2026
Grok in Word is a subprocessor, not a muse
On 12 September Microsoft added Grok to Copilot in Word, Excel, and PowerPoint. SpaceXAI is on the subprocessor list. The admin switch is off by default.
Gary Stanton · September 15, 2026
The third time you rebuild the Zap, leave
Zapier is the right first automation seat. The third rebuild is the signal to move. Here is the job Zapier is for, the job Make is for, and the skip-if that keeps you from owning two graphs.
Gary Stanton · September 13, 2026
One writer, one editor, one claims list
Most writing stacks fail by buying three generators and no editor. Pick one model for drafts, one layer for cleanup, and a list of words Legal will not sign. Everything else is a subscription looking for a job.
Gary Stanton · September 11, 2026
Census said 5.4%. The new paper says 18%. Do not stack them.
CES-WP-24-16R put AI use at 5.4% of firms producing goods or services (Feb 2024). CES-WP-26-25 put it at 18% of firms in a business function (Nov 2025–Jan 2026). Census changed the question. Believe the survey. Do not write a fake series.
Gary Stanton · September 10, 2026
The Times case is about training, not your prompt
On 4 September, OpenAI, Microsoft, the New York Times, and a group of authors filed competing summary-judgment motions. That fight is about how the models were built, not a new rule for every prompt.
Gary Stanton · September 9, 2026
The deck says everyone. Census says 18%. The denominator is the story.
McKinsey finds nearly nine in ten survey respondents report AI use somewhere in their organizations. Census finds 18% of U.S. firms use AI in a business function. Both can be honest. They are not counting the same population.
Gary Stanton · September 5, 2026
The Productivity Gap Is Real: What Happens When Your Competitor Adopts AI First
By April 2026, the gap between companies that deployed AI six months ago and those just starting is already permanent. Here's why catching up later doesn't work, and what to do Monday morning.
Dana Whitfield · April 9, 2026
Five AI Patterns Your Teams Are Already Running — Here's What Changes Monday
Your finance team just built an AI agent without telling you. This isn't a pilot anymore — it's how work happens now. Here are the five operational patterns reshaping production, and what you actually need to do.
Dana Whitfield · March 17, 2026
State of AI Adoption 2025: The Data Every Business Leader Needs
We analyzed adoption data across 12 industries to give you the clearest picture of where AI stands, which sectors are leading, and what's holding others back.
Dana Whitfield · March 16, 2026
The Three-Layer ROI Framework: Why Most AI Projects Fail Before They're Measured
Companies measuring AI ROI the wrong way kill good projects and overfund bad ones. Here's how operators at scale separate signal from noise.
Dana Whitfield · March 15, 2026
How to Build an AI Business Case Your CFO Will Actually Approve
Most AI proposals die in finance. Here's a practical framework for quantifying AI benefits, addressing risk, and presenting a case that gets funded.
Dana Whitfield · March 3, 2026
Your Forecast Is a Fiction — Here's How to Rebuild It Before Thursday
Most sales managers know their forecast is wrong but fix it by interrogating reps harder. The real fix is a three-layer system that replaces gut feel with behavioral signals, starting with the data rot underneath.
Dana Whitfield · March 3, 2026
The One-Tool Rule: How to Add AI to a Founder-Led Business Without Losing Your Week
Most founders try six AI tools, stick with none, and lose a month. The One-Tool Rule forces a different sequence: find your worst time leak, fix it with one tool, then expand only after the habit holds.
Dana Whitfield · March 3, 2026
AI for CFOs: Automating the Finance Work That Used to Eat Your Week
CFOs are quietly using AI to automate variance analysis, board reporting, and forecasting. Here's exactly what they're using and how.
Dana Whitfield · March 3, 2026
Your Marketing Org Chart Is Lying to You — Here's the Operating Model That Replaces It
Most CMOs are bolting AI tools onto a broken operating model. The ones pulling ahead have rebuilt how decisions, content, and budget allocation actually flow through their teams.
Dana Whitfield · March 3, 2026
Sequencing AI Investments by What Hurts Your Customers First
A 200-SKU skincare brand burned $40K and a quarter by picking the flashiest AI tool instead of the one that stopped the bleeding. The Bleed-First Framework ensures you sequence investments by operational damage — not vendor pitch decks.
Dana Whitfield · March 3, 2026
The Intake Problem That Rewires How Small Firms Think About AI
Most small law firms approach AI as a tool question — which product, which feature, which price. The ones pulling ahead treat it as a capacity question, and the difference reshapes the entire practice.
Dana Whitfield · March 3, 2026
The Healthcare AI Decision Rubric Your CFO Actually Needs
Most health systems evaluate AI the same way they evaluate EHR upgrades — committee meetings, vendor demos, and hope. A sharper filter exists: the Three-Gate Rubric separates the 90-day wins from the five-year money pits.
Dana Whitfield · March 3, 2026
The Solo Advisor Capacity Problem AI Actually Solves
A solo RIA in Scottsdale went from drowning at 90 clients to comfortably managing 130 — not by hiring, but by restructuring her week around a three-phase AI workflow. Here's the framework she used and the specific tools that made it work.
Dana Whitfield · March 3, 2026
Notion AI vs Obsidian: Name Your Bottleneck, Then Pick Your Tool
Most teams agonize over Notion vs Obsidian as if it's a feature shootout. The real decision is simpler: figure out whether your bottleneck is organizational or cognitive, then commit for 90 days.
Pete Callahan · March 3, 2026
The CRM AI You're Paying For vs. the CRM AI Your Reps Actually Open
A 25-person sales team ditched Salesforce Einstein for HubSpot AI — not because the tech was worse, but because nobody had ever configured it. Here's the framework that would have saved them six months.
Pete Callahan · March 3, 2026
The AI Assistant You're Paying For Is Probably the Wrong One
Most teams pick ChatGPT by default, then wonder why they're still rewriting every output. A five-task stress test reveals which model actually earns its $20/month — and a framework for deciding without waiting for the next product announcement.
Pete Callahan · March 3, 2026
Copilot Handles the Boilerplate. Cursor Handles the Architecture. Here's the Decision Matrix.
After running both AI coding assistants on production work for six months, our team landed on a two-tool workflow nobody planned for — and a decision framework that maps to exactly three variables.
Pete Callahan · March 3, 2026
The 70% Draft Problem: How to Make Claude Do the Thinking You Keep Postponing
Most teams treat Claude like a search engine with manners. A simple diagnostic framework reveals whether your AI prompts are generating real first drafts or just polished filler you'll rewrite anyway.
Pete Callahan · March 3, 2026
The Draft-Then-Judge Stack: Why Two Cheap Tools Beat One Expensive AI Writer
After routing 147 blog posts through different AI tool combinations, one pattern kept repeating: separating the drafting tool from the editing tool produced measurably better content than any single all-in-one platform.
Pete Callahan · March 3, 2026
Your Team Already Has ChatGPT Logins. Here's Why Nobody's Using Them.
Most teams signed up for ChatGPT months ago. Seats are paid, logins are active, and usage dashboards show near-zero adoption. The fix isn't more training—it's giving people a repeatable prompt structure and one workflow to prove it works.
Pete Callahan · March 3, 2026
How AI Is Collapsing Sales Cycles: What's Actually Happening in 2026
A mid-market SaaS company closes deals 3–4 calls earlier using AI conversation analysis. This isn't productivity theater. It's a structural shift in how sales organizations work. Here's what's changing, and what you need to do about it.
Jules Marchetti · November 15, 2025
Zapier vs Make: The Decision Your Ops Team Will Make Three Times
Feature checklists are identical. Mental models aren't. Here's why picking the wrong platform costs you more in iteration friction than it saves in setup time.
Jules Marchetti · November 8, 2025
The RevOps Playbook: Stop Building AI Systems Nobody Uses
A $15M SaaS company spent six months perfecting an AI lead scoring model. Sales reps ignored it completely. Here's why most RevOps AI fails—and the three-phase framework that actually drives adoption.
Dara Keating · November 1, 2025
GitHub Copilot After 6 Months: The Productivity Trap
One fintech team's code velocity jumped 34% after deploying Copilot. Then their security audit found 47 credential-handling violations. The real problem wasn't the tool—it was optimizing for the wrong metric.
Jules Marchetti · October 25, 2025
The AI Adoption Paradox in Financial Services: Why Most Deployments Fail After Launch
JPMorgan runs 200 AI use cases. Most regional banks run pilots that go nowhere. The difference isn't technical—it's knowing which problems AI actually solves, and building systems that work when the AI fails.
Dara Keating · October 18, 2025
The 30-Day AI Workflow: How to Prove Value Before You Scale
Most companies build ambitious AI systems and hope they work. Winners do the opposite: they automate one boring task, measure ruthlessly, and only scale when the signal is unmistakable.
Jules Marchetti · October 12, 2025
ChatGPT vs Claude: The Decision Nobody Gets Right
Most teams benchmark model capability and pick wrong. The real decision isn't which model is smarter—it's which one your team will actually use without friction.
Dara Keating · October 8, 2025
The AI Stack Every Lean SaaS Team Actually Needs in 2026
A Series A fintech founder shipped in six months what a Series B competitor promised in Q2. The difference wasn't talent or capital—it was how they stacked AI into existing workflows.
Dara Keating · October 1, 2025