Cloudflare Cuts Over 1,100 Jobs; Earnings Beat Expectations but Stock Plunges 18% After Hours

marsbitPublicado em 2026-05-08Última atualização em 2026-05-08

Resumo

Cloudflare announced the layoff of over 1,100 employees, representing about 20% of its workforce, on the same day it reported better-than-expected Q1 2026 earnings. While revenue grew 34% to $639.8 million and full-year guidance was raised, the stock plummeted over 18% in after-hours trading, likely due to the layoffs and a slightly weaker Q2 revenue forecast. CEO Matthew Prince framed the massive restructuring as necessary preparation for the "AI agent era," not a cost-cutting measure. He cited a 600% surge in AI usage across the company in three months, with 97% of engineers using AI coding tools. Prince stated that many support roles are no longer needed as AI boosts the productivity of customer-facing and engineering staff, and that job types are changing rapidly. The company expects to incur $140-$150 million in restructuring charges. Laid-off U.S. employees will receive severance pay covering their full salary until the end of 2026, extended healthcare, and accelerated stock vesting. This move comes less than a year after Cloudflare famously announced plans to hire 1,111 interns in 2026. This announcement is part of a broader trend, as companies like Coinbase and PayPal also announced significant layoffs recently, with AI frequently cited as a driving force behind workforce transformations.

Author: Claude, Shenchao TechFlow

Shenchao TechFlow Introduction: On the same day it reported better-than-expected quarterly earnings, Cloudflare announced a reduction of approximately 20% of its workforce (over 1,100 employees). CEO Matthew Prince framed the move as a comprehensive restructuring for the "era of AI agents" rather than a cost-cutting measure. The company's AI usage surged over 600% in the past three months, with 97% of engineers already using AI coding tools. Following the news, the stock plummeted over 14% in after-hours trading. The restructuring is expected to incur $140 million to $150 million in charges.

Cybersecurity and cloud services giant Cloudflare accomplished two things on May 7th: delivering a quarterly earnings report that exceeded expectations across the board, and announcing the layoff of one-fifth of its employees.

According to Cloudflare's official blog, CEO Matthew Prince and President & COO Michelle Zatlyn sent an internal email to all employees that day, announcing a global reduction of over 1,100 positions. The email's subject line was "Building for the Future." A few hours after the layoff notice was sent, the company released its Q1 2026 earnings report.

Prince stated on the subsequent earnings call: "We discovered some roles at Cloudflare that are no longer needed for our future. Just because you're fit doesn't mean you can't be more fit."

Earnings Beat Expectations, Yet Stock Plunges

Cloudflare's Q1 revenue was $639.8 million, a 34% year-over-year increase, beating Wall Street's expectation of $620.9 million by approximately 3%. Adjusted earnings per share were $0.25, higher than the analyst consensus of $0.23. Non-GAAP operating profit was $73.1 million, with an operating margin of 11.4%. Free cash flow was $84.1 million.

The company also raised its full-year guidance: projecting 2026 full-year revenue between $2.805 billion and $2.813 billion (previously $2.785 billion to $2.795 billion), and adjusted EPS between $1.19 and $1.20 (previously $1.11 to $1.12), both exceeding market consensus expectations.

However, investors were clearly more concerned about the layoffs and the slightly below-expectations Q2 guidance. The company forecasts Q2 revenue between $664 million and $665 million, narrowly below the analyst consensus of $665.34 million. According to CNBC, Cloudflare's stock plunged over 18% in after-hours trading, hitting a low of around $212. As of the end of 2025, the company had 5,156 full-time employees.

Restructuring for the "AI Agent Era": 600% Surge in Usage, Roles Redefined

In the internal email, Prince and Zatlyn attributed the layoffs not to poor performance but to the fundamental shift AI is bringing to the company's operational methods.

The email stated that Cloudflare's AI usage grew over 600% in the past three months. Employees across all departments, from engineering to HR, finance, and marketing, run thousands of AI agent sessions daily to complete their work. According to Prism News, 97% of the company's engineers are already using AI coding tools.

Prince further explained on the earnings call: "Over the last six months, the productivity increase for people directly talking to customers and directly writing code has been phenomenal. And many of the supporting roles behind them will not be the roles driving the company's future forward."

He expects Cloudflare's total headcount in 2027 will exceed any point in 2026, "but the types of roles are changing dramatically, and you have to do something dramatic to drive that change." He emphasized this is not about cutting costs but about "getting the right people into the right roles."

According to Cloudflare's SEC filing, this restructuring is expected to generate $140 million to $150 million in charges, with $105 million to $110 million in cash expenses (including severance, notice period, and benefits) and $35 million to $40 million in non-cash stock-based compensation expenses, primarily concentrated in Q2 and Q3.

Severance Package: Pay Until Year-End, Stock Vesting Extended to August

Regarding severance terms, Cloudflare offered relatively generous conditions. Laid-off employees will receive a severance package equivalent to their full base salary through the end of 2026. US employees' medical insurance coverage will also continue through year-end. Equity vesting is extended to August 15th. For employees who have not yet met their one-year vesting cliff, the company will waive the restriction and grant prorated vesting through August.

Prince and Zatlyn stated in the email they hope this layoff only needs to be executed once. "Small, repeated layoffs or reorganizations dragged out over quarters only create ongoing emotional uncertainty for employees and slow down the speed at which we can build."

Last Year's High-Profile Announcement to Hire 1,111 Interns, This Year Layoffs of 1,100 Employees

According to Cloudflare's official blog, in September 2025 (during its birthday week activities), the company high-profile announced plans to hire up to 1,111 interns in 2026, a number derived from its signature product, the 1.1.1.1 public DNS resolver. The blog post at the time claimed this exemplified the company's culture of "long-term investment in talent."

Less than eight months later, the company laid off almost the same number of full-time employees. According to Prism News, this contrast sparked significant discussion on social media.

AI-Led Layoff Wave Spreads: Coinbase, PayPal Announce Major Job Cuts Same Week

Cloudflare is not alone. According to Yahoo Finance, within the same week, Coinbase announced cutting approximately 14% of its workforce (about 700 employees), and PayPal was reportedly planning layoffs of about 20%. From January to April this year, the US tech industry announced 85,411 layoffs, a 33% increase compared to the same period last year.

Citing AI as a reason for layoffs is becoming a collective narrative for tech companies. The Register, in its reporting, directly headlined the layoffs as "jobs just aren't AI enough." Prince called AI the "single biggest tailwind Cloudflare has ever seen" on the earnings call.

For the employees who remain and those who were laid off, this "tailwind" is blowing in opposite directions.

Perguntas relacionadas

QWhat was the main reason given by Cloudflare's CEO for laying off over 1,100 employees?

AThe main reason was not cost-cutting but a comprehensive restructuring for the 'AI agent era.' The CEO stated that the nature of work at Cloudflare is fundamentally changing due to AI, with a 600%+ increase in AI usage, making certain supporting roles no longer aligned with the company's future direction.

QDespite beating Q1 2026 earnings expectations, why did Cloudflare's stock price drop significantly in after-hours trading?

AThe stock price dropped significantly (reportedly over 14-18%) due to investor concerns over the large-scale layoffs and the company's Q2 revenue guidance, which was slightly below analysts' expectations.

QWhat are the key financial details of Cloudflare's restructuring plan as mentioned in the article?

AThe restructuring is expected to incur total expenses of $140 million to $150 million. This includes $105 million to $110 million in cash expenditures (for severance, notice periods, and benefits) and $35 million to $40 million in non-cash stock-based compensation expenses.

QWhat notable contrast does the article highlight regarding Cloudflare's hiring and layoff actions within a short period?

AThe article highlights that in September 2025, Cloudflare announced plans to hire up to 1,111 interns for 2026. Less than eight months later, the company laid off approximately 1,100 full-time employees, a nearly identical number.

QAccording to the article, which other major tech companies announced significant layoffs around the same week as Cloudflare?

AIn the same week, Coinbase announced layoffs of about 14% of its workforce (around 700 employees), and reports indicated PayPal was planning layoffs of approximately 20% of its staff.

Leituras Relacionadas

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbitHá 29m

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbitHá 29m

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbitHá 33m

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbitHá 33m

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbitHá 33m

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbitHá 33m

Trading

Spot
活动图片