🔥 Big Story
ServiceNow just posted its strongest AI quarter ever — and announced 1,000 layoffs the same week.
Beat the quarter. Raise the outlook. Cut the headcount.
ServiceNow reported $3.99 billion in Q2 2026 revenue, up 23% in constant currency. More importantly, AI subscription revenue crossed $1 billion in annualized contract value — a milestone the company had targeted for years. They raised their full-year subscription revenue outlook by $160 million.
The bigger picture. In the same earnings cycle, ServiceNow confirmed it would reduce headcount by up to 1,000 employees — roughly 3% of its global workforce. CEO Bill McDermott had telegraphed this on previous calls, committing to exit 2026 with the same headcount it started the year with, even after three major acquisitions. The math: absorb Moveworks, Veza, and Armis, then cut to compensate.
Why this matters: ServiceNow isn’t a struggling company. It’s one of the fastest-growing enterprise software platforms on the planet. This is the AI era template — record revenue, rising margins, shrinking teams. If you work in enterprise software, IT operations, or SaaS support, this dynamic is coming to your org whether leadership has announced it yet or not.
Source: ServiceNow Q2 2026 Press Release
📊 Stat of the Week
62% → The advertised wage premium for roles requiring AI skills vs. identical roles without them (Source: PwC 2026 Global AI Jobs Barometer — analysis of 1 billion+ job listings across 27 countries)
That gap isn’t closing. It grew from 25% in 2024 to 57% in 2025 to 62% now. The AI skills premium is compounding, not plateauing.
Source: PwC 2026 Global AI Jobs Barometer
⚡ Quick Hits
Intel reports $16.1B in Q2 revenue — then cuts jobs in its AI unit.
Best revenue growth in 15 years. AI-related businesses up 70% year-over-year. And yet Intel is simultaneously cutting roles in its Data Center and AI Group (DCAI). Revenue at Intel is being driven by AI chips — but that same AI shift is making support and operational roles redundant. If your role lives in the infrastructure layer of AI hardware, the turnaround is happening above you, not for you.
K&L Gates just cut ~10% of non-lawyer staff. Legal AI is no longer theoretical.
The law firm K&L Gates — one of the largest global firms with 48 offices — eliminated roughly 10% of its non-lawyer staff in late July. Paralegals. Legal assistants. Administrative support. These aren’t roles people expected AI to absorb first in a “white-collar” industry. But document review, contract summarization, and research retrieval are now demonstrably faster and cheaper with AI. If you work in legal support — or any knowledge-work support function — this trend isn’t coming. It’s here.
Genentech files WARN notice: 103 jobs cut at San Francisco HQ.
Genentech, the Roche-owned biotech giant, filed a WARN Act notice in California for 103 employees at its South San Francisco headquarters. Even in biotech — a sector that has historically been protected from tech-driven automation — corporate and administrative functions are being consolidated. This one’s worth watching because pharma and biotech lag tech layoff cycles by 6–12 months. What you’re seeing now is early.
Uber cuts 10% of customer service — and tells remote workers to come to the office.
Uber cut 10% of its Community Operations team globally, citing AI automation of support functions. The same announcement asked employees who had been working remotely to relocate to one of Uber’s hub offices or face separation. VP of Global Community Operations Megha Yethadka said the organization had “become too complex and siloed” — and that scaling AI on top of it required a leaner, co-located structure. This is the pattern: AI as the justification for both workforce reduction AND remote work rollback.
🏢 Companies Hiring Remote
Several companies are actively building distributed teams right now. If you’re in the market, these are worth a close look.
HubSpot — Marketing, sales, and customer platform. 72% of employees are fully remote. → HubSpot runs one of the most established remote cultures in SaaS. They’re actively hiring across customer support, engineering, product, and sales — globally. Open roles
Shopify — E-commerce infrastructure. Permanently remote-first since 2020. → Shopify is hiring across product, data science, engineering, and operations. Remote is built into how they work — not bolted on. Open roles
GitLab — DevOps platform. Fully distributed since founding. → GitLab wrote the handbook on remote work — literally. With over 2,000 employees in 65+ countries, they hire across engineering, security, product, and marketing. Open roles
Anthropic — AI safety and research. Hiring across engineering and research. → Anthropic is one of the fastest-growing AI labs in the world. Most roles are Bay Area-based, but remote-eligible positions exist. They’re actively hiring for technical, policy, and commercial roles. Open roles
Zapier — Automation tools. 100% remote company. → Zapier connects 7,000+ apps and has been fully remote since 2011. They’re actively hiring across engineering, customer success, marketing, and operations. Open roles
Know someone between jobs? Forward this section — it might be exactly what they need.
🎯 Career Signal: The Two-Track Labor Market Is Real
PwC’s 2026 Global AI Jobs Barometer — analyzing over a billion job listings across 27 countries — identified something job seekers need to understand: AI is splitting the labor market into two tracks.
“Professionalised” roles (where AI automates routine tasks so human expertise stays front-and-center) are growing twice as fast and paying 42% more than their counterparts. Think: radiologists who use AI imaging tools, recruiters who use AI screening, engineers who use AI code review. The AI is doing the grunt work. You’re doing the thinking.
“Democratised” roles (where AI makes the task easy enough that non-experts can do it) are growing slower and commanding less pay. The lesson: AI skills alone don’t protect you. AI fluency combined with genuine domain expertise is what makes you irreplaceable.
Source: PwC 2026 Global AI Jobs Barometer
🧠 Skill-Building Reads
Three things worth reading this weekend if you’re thinking seriously about where AI is taking your career.
IBM Generative AI Engineering Professional Certificate — Hands-on training from IBM covering generative AI engineering, model deployment, and application development. One of the more practical AI certs available — built for people who want to build, not just understand. Read it →
Anthropic: Labor Market Impacts of AI — A New Measure and Early Evidence — Anthropic’s research team published a rigorous analysis of which tasks — across which industries — are being most affected by AI adoption. This isn’t speculation. It’s a methodology for understanding your own exposure. Read it →
O*NET Online — The U.S. Department of Labor’s official database of occupational skills, tasks, and wages. Search your current role and look at the “Technology” section — it shows every tool listed for your job, including newly added AI-adjacent software. That gap between what you know and what’s listed is your upskilling roadmap. Read it →
✅ Quick Win
This week: look up your job on O*NET and identify one AI tool in the “Technology” section that you haven’t used yet.
You don’t need to master it overnight. But knowing the gap exists puts you ahead of most people in your role. Search your title at onetonline.org, scroll to the Technology section, and cross-reference what’s listed against what’s on your resume. That 5-minute exercise has a real payoff come negotiation time.
What we’re watching: Q3 earnings season for more revenue-with-fewer-people announcements, remote work relocation mandates spreading beyond tech, AI certification demand outpacing supply in enterprise roles
🎯 Bottom Line
This week drew the clearest line yet: companies growing revenue with AI aren’t growing headcount to match. ServiceNow. Intel. Uber. The pattern is consistent across industries. That’s not doom — it’s a map.
The workers who win in this environment aren’t the ones who outrun AI. They’re the ones who pair deep expertise with AI fluency, landing in the “professionalised” category PwC described. Sixty-two percent more pay is the reward for doing that work now, before it becomes table stakes.
Find jobs from companies still building remote teams at RemoteHunter.com — and use the AI-powered resume and cover letter tools to show up as the candidate who clearly gets it.
Until next week — keep building.
— The RH Team 🤙
p.s. know someone who’d love this? Forward this email or share it here.
What did you think of this week’s issue? [positive / neutral / negative]