Alright, let’s talk AI.
Some weeks it feels like hype, some weeks it feels like history being written in real time. This week is both.
On one end, Salesforce just made it official: AI isn’t a sidekick, it’s a headcount strategy. Benioff said the quiet part out loud, and it changes how every exec in the Fortune 500 will think about their org chart. On the other, I’ve got a playbook for anyone thinking about joining a startup (five questions you better ask unless you enjoy dumpster fires), a shortcut from Gaetano DiNardi on what actually matters in AI SEO, and a few tools that are worth your time instead of your eye roll.
Let’s get into it.
No, But Seriously…
Startup Interviews: Ask These 5 or Get Burned

If you don’t ask these five questions in a startup interview, you deserve to get screwed.
• How would you help me understand if this company is truly growing?
(If they can’t explain ARR growth, bookings vs plan, gross margin, and Rule of 40 in plain English, growth is a mirage.)
• How would you help me understand the company’s financial health?
(If they can’t explain burn, runway, and last raise in plain English, the business is running on hope, not money.)
• How would you help me understand if customers actually use and love the product?
(If they can’t explain gross and net retention, NPS, adoption, and time-to-value in plain English, the product isn’t sticky... it’s shelfware.)
• How would you help me understand if our GTM engine is efficient?
(If they can’t walk you through rep attainment, CAC payback, win rates, and new vs. expansion ARR in plain English, it’s not working.)
• How would you help me understand the value of my equity?
(If they can’t clearly explain strike price, prefs, dilution, and exit math in plain English, you probably don’t want it.)
Bottom line: If they can’t answer these five questions well… you’re not joining a rocket ship. You’re strapping yourself to a dumpster fire.
The Drop
The fairy tale is over. Augmentation was the cover story, replacement is the reality.

Marc Benioff just said the quiet part out loud. Salesforce didn’t just trim headcount. It didn’t just restructure. It cut 4,000 jobs, shrinking teams from roughly 9,000 to about 5,000. And the reason wasn’t softer demand or tighter budgets. It was AI. Or, more specifically, Salesforce’s branded AI system: Agentforce.
For years, the narrative was clear: AI would augment humans, not replace them. It would be a helpful assistant, a way to free up time, a tool to help people “do their jobs better.” That’s the story tech leaders told Wall Street, employees, and the press.
But now? The mask has slipped. Benioff didn’t position Agentforce as a sidekick. He positioned it as a headcount strategy. His words: “I need less heads.” Not “more efficient teams.” Not “redeployment of talent.” Less heads.
That may sound blunt, but it’s also a glimpse into how the next decade of corporate management will be run. AI isn’t being bolted on to the side of the business. It’s becoming the business. And the math shifts overnight.
The old benchmark was revenue per employee. How much can each worker generate? The new benchmark is employees per Cloud Employee (ECE). How many humans does it take to manage the output of one AI teammate? If a single Cloud Employee can do the work of 10, 20, even 50 humans, then the ratios and the way leaders think about their org charts, get flipped upside down.
This is the end of the brute force era. The model where companies raised money, hired armies, and measured growth in headcount is breaking. The autonomous era is different. It’s leaner, faster, and, yes, harsher. It’s humans working side by side with Cloud Employees, not armies of humans outnumbering the tech.
You don’t have to like it. You may even think it’s cold. But you can’t ignore it. This isn’t a lab experiment or a futurist prediction. It’s a Fortune 500 CEO on an earnings call telling the world how he plans to run his company. AI isn’t a sidekick. It’s a staff replacement. And if Salesforce is saying it today, your boardroom will be saying it tomorrow.
The Shortcut
AI SEO Without the Fluff
Everyone’s overthinking AI and SEO right now. Gaetano DiNardi cut through the noise and broke it down for execs in a way that actually makes sense. Here’s the skinny:
Referral traffic from LLMs is tiny. Around 1% for most B2B SaaS sites. The “AI is going to be our new traffic channel” hype is way overblown.
Grounding is everything. AI search only works when it cites reliable sources. If the model already “knows” the answer, you’ll never get the click.
Bottom of funnel is the only funnel. There are probably just 10 prompt variations that actually matter for most software businesses. That’s where SEOs should live.
Top of funnel is toast. Informational content gets scraped, summarized, and served by LLMs. Optimize for prompts that recommend your brand, not for clicks that will never come.
Reputation is your moat. Own the conversation around reviews, comparisons, pricing, and help docs. That’s what LLMs are pulling from.
Smart, simple, no fluff. You can read Gaetano’s full breakdown here.

Tools I’d actually use
Quick Hits
Spinach AI captures your meetings, turns them into transcripts and summaries, and pushes the updates directly into your CRM and project tools.
Just one tool today. Apparently “real work” got in the way of newsletter glory.
The news that matters
The Weekly Wire
OpenAI takes on LinkedIn. OpenAI just launched an AI-powered hiring platform to certify and place talent. Translation: they’re building a parallel labor market.
Salesforce cuts 4,000 jobs for AI. Marc Benioff admitted the quiet part: “I need less heads.” Agentforce replaces support roles at scale.
The ultimate AI app list. a16z dropped a catalog of 100 GenAI apps worth knowing. Some gems, some noise, but a good pulse check.
Atlassian buys Arc. Atlassian is acquiring The Browser Company (maker of Arc) for $610M. Big bet that browsers become productivity hubs.
Sierra rockets up. Bret Taylor’s AI customer service startup just raised $350M at a $10B valuation.
Anthropic goes huge. Anthropic raised $13B at a staggering $183B valuation to expand internationally and fund research.
