Monday.com cut 600 jobs on July 25, 2026, citing an AI-driven restructuring of its business. Two days later, Moonshot AI released Kimi K3, a free 2.8 trillion parameter model that performs close to top closed systems. The same week AI got blamed for cuts, it also got dramatically cheaper to run yourself.
Takeaways
- Workers at companies citing AI in restructuring announcements should treat the AI framing as a claim to verify, not a fact, since TechCrunch’s tracker only records what companies say publicly.
- Anyone whose employer has avoided AI tools over data-privacy concerns should ask whether a free, self-hosted model like Kimi K3, released by Moonshot AI on July 27, 2026, changes that calculus.
- Professionals who spend hours moving data between Word, Excel and Outlook should trial Perplexity’s new Windows agent against one real task before judging whether its $200 monthly Max tier is worth it.
- Job seekers and employees alike should check TechCrunch’s running 2026 layoffs list for their own industry rather than assuming Monday.com’s 600 cuts are an isolated case.
| Monday.com layoffs | 600 jobs, July 25, 2026 |
|---|---|
| Kimi K3 size | 2.8 trillion parameters |
| Kimi K3 release | July 27, 2026, by Moonshot AI |
| Perplexity Max price | $200/month, Windows agent added July 28, 2026 |
What did Monday.com cut, and why?
Monday.com laid off 600 employees on July 25, 2026, and told staff and investors the cuts were part of a broader move to reorganize its business around AI tools, according to TechCrunch’s running list of 2026 layoffs where employers named AI as a factor. Monday.com is not alone on that list; TechCrunch has tracked several companies across software and other sectors giving the same explanation for cuts made this year. For a working professional the number to read closely is not 600, it’s the sentence a public company chose to put next to it. When a company tells the market it is restructuring around AI rather than simply cutting costs, that’s a claim about which functions it expects software to cover next, and it’s worth checking against your own role.
Did AI really cause the cuts?
The honest answer is that nobody outside Monday.com knows for certain, and the public reporting does not settle it either. TechCrunch’s tracker records what companies say publicly about AI and layoffs, not an audit of whether AI tools eliminated the specific roles that were cut. Companies have an incentive to frame layoffs as forward-looking AI strategy rather than plain cost-cutting, since one story reassures investors and the other worries them. The tracker also excludes companies that cut jobs for the same reasons without naming AI in their public statements, so it cannot tell you how common AI-attributed layoffs are relative to layoffs generally, according to the same TechCrunch list. Treat an AI-driven restructuring claim as the story a company is choosing to tell, not as proof of what a model can or cannot do.
What is Kimi K3, exactly?
Kimi K3 is a 2.8 trillion parameter open-weight AI model that Moonshot AI released on July 27, 2026. Analyst Nathan Lambert called it the largest open-weight model released to date, and Tom’s Hardware reported that it performs almost as well as closed frontier models while being two to three times easier to run. Open-weight means anyone can download the model’s parameters and run it on their own hardware or cloud account instead of paying per-token fees to a closed provider. Both outlets published their assessments on July 27, 2026, days before Monday.com’s layoffs made headlines for a different reason. The practical difference for a company: a free, self-hosted model removes the per-token cost and data-sharing questions that have kept regulated industries from adopting AI tools built by outside vendors.
Four ways to respond, ranked by urgency
Not every reaction to this week’s news deserves the same attention right away. Here is the order worth working through, starting with what changes your position fastest.
- Find out if your employer could self-host a model like Kimi K3. If your company has avoided AI tools over data-privacy rules, a downloadable near-frontier model removes the main objection, and that conversation could start this quarter.
- Read your own industry’s entry on the layoffs tracker. TechCrunch’s list is updated as companies announce cuts, and knowing which peers cite AI gives you an early read on your sector, not just Monday.com’s.
- Test one agent tool against one recurring task. Whether that’s Perplexity’s new Windows agent or another product, pick the task you repeat most in Office apps and see what it does badly, not just what it does well.
- Ask what your role would look like with a free frontier model already installed. Kimi K3 closing the gap with closed systems means the assumption that advanced AI is expensive no longer protects any job that depends on it.
Can Perplexity’s agent do your job?
Perplexity’s desktop agent, now available on Windows as of July 28, 2026, can operate Word, Excel and Outlook directly on your machine rather than through a chat window, according to SiliconANGLE’s report on the launch. That’s a meaningfully different product than a chatbot you copy answers from: it clicks and types inside the applications you already have open. Perplexity is charging $200 a month for the Max tier that includes this agent, which is a vendor price, not an independent estimate of what the tool is worth to your job. At that price it’s aimed at people who spend hours moving data between office apps daily, not at casual users checking email once in a while. If your job involves that kind of repetitive movement, it’s worth a trial before you decide whether the subscription pays for itself.
What should you do this week?
Start by separating the layoff headline from the model release, because they point in different directions for you. Monday.com’s cuts are a reminder that companies are willing to attach AI framing to restructuring decisions whether or not the tools fully justify it, so treat that framing with some skepticism when you read it about any company, including your own. Kimi K3’s release is a reminder that the tools themselves are getting cheaper and easier to access, not slower or more expensive. Pair those two facts: ask what your employer has said publicly about AI and cost, and separately test what a capable open model or agent can and cannot do on your actual daily tasks. The gap between corporate framing and what the tools can do today is where your next conversation with a manager should start.
Prompts you can use
Paste these straight in. Change the parts in square brackets and nothing else.
You are a career strategist who has read widely on how AI agents and open-weight models are changing knowledge work in 2026. I'm going to describe my role, and I want you to help me identify which of my weekly tasks are already automatable by either a general chatbot, a specialized AI agent (like one that operates Word, Excel or Outlook directly), or a self-hosted open-weight model a company might adopt for cost or privacy reasons. For each task, tell me: (1) whether it's automatable today, mostly automatable, or not yet, and why, (2) what skill would make me the person who oversees the AI doing that task instead of the person the AI replaces. Do not tell me my job is safe or unsafe overall, just work task by task. Before you start, ask me for a list of my five most time-consuming weekly tasks and my industry, then wait for my answer.
Give it your real task list, not a generic job title, or the output will be too generic to use.
You are a skeptical business journalist. I'll paste a company's public statement about layoffs that mentions AI. Read it and separate three things clearly: (1) what the company is factually claiming happened, (2) what the company is implying about the future without directly stating it, (3) what evidence, if any, backs the AI claim versus what could just as easily be normal cost-cutting described with AI framing. Keep each section short and do not soften your conclusions to be diplomatic to the company. If the statement doesn't give you enough to judge, say exactly what's missing.
Works best pasted straight from the source article, not a summary you wrote yourself.
You are an AI infrastructure consultant advising a mid-sized company on whether to self-host an open-weight model instead of paying for API access to a closed model. I'll describe our current AI usage (which tasks, roughly how much we spend monthly, and any data-privacy rules we operate under). Give me a plain comparison: rough hardware or cloud cost of self-hosting a large open-weight model at our usage level, the tradeoffs in quality and maintenance versus a closed API, and the specific data-privacy or compliance situations where self-hosting is worth it even at higher setup cost. Ask me for our monthly AI spend, primary use case and any compliance constraints before answering.
The cost numbers it gives you are estimates, not quotes, verify with your own cloud provider before budgeting.
Questions people actually ask
Did Monday.com blame AI for its layoffs?
Monday.com cut 600 jobs on July 25, 2026, and told investors the cuts were part of restructuring the business around AI tools, according to TechCrunch’s tracker of 2026 layoffs where employers cited AI. TechCrunch’s reporting records what the company said publicly; it does not independently verify whether AI tools caused the specific roles to be eliminated.
What does open-weight AI model mean?
An open-weight model is one whose trained parameters are published for anyone to download and run on their own hardware or cloud account, instead of accessing it only through a company’s paid API. Kimi K3, released by Moonshot AI on July 27, 2026, is currently the largest open-weight model released, according to analyst Nathan Lambert.
Is Kimi K3 really free to use?
The model’s weights are free to download, but running a 2.8 trillion parameter model still requires substantial computing hardware or a paid cloud account, so free means no per-token license fee, not zero cost overall. Tom’s Hardware reported the model is roughly two to three times easier to run than comparable frontier systems.
How much does Perplexity’s new AI agent cost?
Perplexity’s desktop agent, which can operate Word, Excel and Outlook directly on Windows as of July 28, 2026, is included in the Max subscription tier priced at $200 a month, according to SiliconANGLE. That price is Perplexity’s own figure, not an independent estimate of the tool’s value for any specific job.
Will AI agents replace people who work in Excel and Outlook all day?
No report cited here proves that outcome. What’s documented is that a Windows agent can now operate those apps directly and that a free open-weight model performs close to top closed systems, which together lower the cost of automating repetitive office tasks. Whether that reduces headcount depends on decisions individual employers make, not the tools alone.
Sources
- citing an AI-driven restructuringtechcrunch.com
- Kimi K3interconnects.ai
- Tom’s Hardware reportedtomshardware.com
- Perplexity’s new Windows agentsiliconangle.com
What happens next
Watch whether other companies start citing free open-weight models like Kimi K3 as a reason to build AI in-house instead of paying API fees, since that would test whether Moonshot AI’s release changes vendor pricing power. Keep checking TechCrunch’s running 2026 layoffs list to see whether AI framing becomes more or less common as the year continues. It’s also worth watching whether Perplexity or a competitor drops the price of a Windows desktop agent below $200 a month, which would put it in reach of more than enterprise users.
Take this further
Act as a blunt hiring manager who has read ten thousand resumes, not a career coach. I will paste my full resume and the job description I want. Rewrite the whole resume for that role, section by section, in this order: summary, experience, skills, education. Rules: every experience line leads with impact, not duty. Use bracketed placeholders like [8 percent] for any number I did not give you, and list at the end every placeholder I need to replace with a real figure. Keep it to one page of text. Plain formatting only, no tables or columns, so screening software can parse it. After the rewrite, tell me the three weakest claims that need evidence before I send this anywhere. My resume: [paste resume]. The role: [paste job description].
