Locked Out at 7AM
Webflow just ran the same play 55% of CEOs already regret. The way they ran it tells you everything about what comes next.
Somewhere this morning, a Webflow employee made coffee, opened a laptop, and watched the screen refuse to log in. No email and no last minute calendar invite. Just a bricked machine and a creeping suspicion. They opened LinkedIn on their phone and tagged the CEO. “I’m locked out of my Webflow laptop since 7am this morning. Rumor has it we’ve been laid off, but I don’t have an email or any message to confirm anything.”
That post went up roughly three hours before the company’s official announcement.
By mid-morning, Linda Tong’s blog had gone live on the Webflow site, titled “Evolving Webflow for the agentic web.” The post is calm, almost serene. It uses the word “many” instead of a number. It promises 16 weeks of severance, six months of COBRA, and that departing teammates can keep their laptops. The same laptops they could not log into a few hours earlier.
LayoffHedge estimates about 140 people based on Webflow’s prior 8% pattern from July 2024. That number is unconfirmed because Webflow has not disclosed one. It is the second mass layoff under Tong’s tenure in under two years. It lands forty-eight hours after Wix announced 800 to 1,000 cuts, the largest in that company’s twenty-year history, citing the same thesis under different vocabulary.
Two web platforms, two press releases about the agentic future, two laptop lockouts in the same week. We are not watching individual companies make individual decisions. We are watching a pattern.
The number you have to know before you read another agentic announcement
In July 2025, MIT’s NANDA initiative published The GenAI Divide: State of AI in Business 2025, a multi-method study of 300 public AI deployments, 52 organizational interviews, and 153 executive surveys. The headline finding was a single statistic that should be taped to every CFO’s monitor.
Ninety-five percent of enterprise generative AI pilots produce no measurable P&L impact. Five percent capture nearly all the value. Across $30 to $40 billion in enterprise spend, only one in twenty initiatives delivers a real return.
That is not a hype number. That is the base rate.
A separate annual survey by Orgvue, conducted across 1,000 C-suite and senior leaders at medium and large organizations, found that 39% of companies had made workers redundant because of AI. Of those companies, 55% admit the redundancies were the wrong call. Another 34% saw additional employees quit as a direct result of how the AI rollout was handled. Forrester predicts that half of AI-attributed layoffs will be quietly rehired by the end of 2026, often offshore or as contractors.
Put those numbers together. The most likely outcome of an AI-justified layoff in 2026 is that the pilot does not produce P&L, the executive who made the call privately regrets it, and the headcount comes back through a different door within eighteen months. That is not a fringe risk. That is the middle of the distribution.
Linda Tong knows these numbers. Every operator with a board seat knows these numbers. The decision was made anyway.
Klarna already ran this exact movie
If the MIT and Orgvue data feel abstract, the Klarna case study is concrete enough to hand a board. In 2023, CEO Sebastian Siemiatkowski stopped hiring, eliminated roughly 700 customer service roles, and announced that an AI chatbot was doing the work of those workers. The narrative was clean. The early metrics looked great. The press wrote it up as the future.
Eighteen months later, customer satisfaction had cratered. Software engineers and marketing staff were being pulled into the queue to answer support tickets. By 2025, Siemiatkowski was on Bloomberg admitting the company had focused too much on cost and lost the experience. Klarna is now rehiring humans, just structured as gig workers.
The interesting line from the reversal is what Siemiatkowski said about the work itself. AI handled the volume. It did not handle the complexity, the empathy, or the institutional knowledge. The routine majority was easy. The complex minority, which is where most of the value lived, required judgment that the model could not provide.
That is not a Klarna-specific finding. It is the same finding the MIT study isolated as the root cause of the 95% failure rate. AI tools fail to scale because they cannot learn from or adapt to the actual workflows they replaced. The institutional context lives in the people. When the people leave, the context goes with them.
“Agentic” is doing a lot of work in that blog post
Tong’s memo is well crafted. It is also doing some legitimately heavy lifting with a single adjective. Read it twice and notice what “agentic” is being asked to carry. It is the name of the new platform. It is the justification for the cuts. It is the unifying story for what Webflow will do differently than the lightweight AI builders eating the simple end of the market. It is also, conveniently, the same word Wix used two days earlier, the same word ClickUp used to describe its 100x organization restructure, and the same word a growing list of mid-cap SaaS CEOs are now using in their own quarterly calls.
In 2022, the word doing this work was “metaverse.” In 2017, it was “platform.” In 2009, it was “social.”
The word is not the problem. The pattern is. When a single adjective becomes the wrapper for cost cuts, strategic ambiguity, and a future product roadmap simultaneously, it stops being a strategy and starts being a permission structure. Boards approve it. Press releases write themselves. The work of explaining the actual mechanics gets postponed.
The mechanics, when you press on them, are not yet visible. Webflow’s blog promises an “agentic web marketing platform” without describing which agent workflows are in production, which customers are running them today, what the integration surface looks like, or how the cost curve of running the agents compares to the salaries of the people being cut. That is not a criticism of Webflow’s engineering. It is an observation about the sequencing. The layoff is announced. The platform that justifies the layoff is, by Tong’s own framing, the thing being built.
A 95% failure rate is calculated on platforms that have already been built and deployed. Webflow is making a workforce decision against a platform that, by its CEO’s own description, is still on the come.
The way you fire predicts the way you ship
The most underrated detail in this story is not the strategy. It is the operational choreography.
Locking laptops before the announcement is not a small thing. It is the clearest possible signal that the company prioritized control of the news cycle over the dignity of the people who built the product. It also tells you something concrete about how Webflow is going to operate. A leadership team that cannot or will not sequence a layoff with basic human communication, an email at minimum, is the same leadership team that will be asked to choreograph a complex agentic product rollout to enterprise customers in the next six months.
Those are the same muscle.
The agentic web does not fail because the models are not good enough. The MIT research is explicit on this. It fails because organizations cannot integrate the models into the workflows where humans used to do the judgment work. Integration requires sequencing, communication, hand-offs, and a deep understanding of what the displaced humans actually knew. Companies that cannot manage the sequencing of a Tuesday morning layoff do not suddenly acquire that capability when they have to launch a customer-facing agent at a Fortune 500 marketing department.
Look at the Glassdoor reviews from the 2024 round, which was also 8%. The recurring complaint is not the cuts themselves. It is that the company posted a record quarter two weeks later and continued hiring for open roles that the laid-off employees could have filled. That pattern, if it repeats, is the same pattern Klarna described in its reversal. The cost cut hits the income statement first. The quality cost arrives quietly, months later, and the institutional knowledge cannot be rehired.
The asymmetric angle
If you are running a marketing or innovation org and watching Webflow today, the takeaway is not whether AI layoffs are good or bad. That is a moral debate that will play out in HR conference panels for the next two years. The asymmetric angle is operational, and it is available now.
The companies that will end up on the right side of the 5% are not the ones cutting first. They are the ones training first. Only 23% of organizations offered prompt engineering training in 2025. Only 16% of workers test as high in AI readiness. The bottleneck is not the model. It is the muscle memory of the people being asked to work with it. Train your people, run real pilots in workflows where the value is measurable, partner with vendors instead of building in-house (MIT found vendor partnerships succeed at 67%, internal builds at 33%), and keep humans in the loops where judgment matters. Boring. Available. Mostly ignored.
The companies that will end up writing the reversal blog posts in 2027 are the ones that cut first, framed the layoff as a strategic AI pivot, and discovered that the agents could not yet do the work the institutional memory was doing. They will quietly hire back, often offshore, often as contractors, at lower salaries and with less continuity. The press will not write that story with the same energy it wrote the original announcement.
Linda Tong may end up being right about the agentic web. The product may ship and may be excellent. The market may move the way she is betting. None of that changes what happened this morning. A platform built to put agents alongside marketing teams just removed a meaningful portion of its own marketing team without a sequencing plan that could clear the lowest bar of professional respect. The customers who are watching that, and the marketers who will be asked to trust Webflow with their own teams’ workflows next quarter, are taking notes.
The 7AM laptop lockout is the data point. Everything else is a press release.
Sources and further reading: MIT NANDA, The GenAI Divide: State of AI in Business 2025. Orgvue, annual workforce planning survey. Forrester, Predictions 2026: The Future of Work. Webflow, Evolving Webflow for the agentic web. LayoffHedge, Webflow Layoffs 2026.