Freshworks Cuts 500, Coinbase Cuts 700 as AI Replaces Engineers: Tech Layoffs 2026 Near 100K and Why Singapore AI Hiring Just Opened a 90-Day Window

Monday May 5, 2026, two announcements landed within hours of each other that will reshape how every Singapore employer thinks about engineering team size. Freshworks cut 500 employees, roughly 11% of its workforce, with CEO Dennis Woodside stating bluntly that "over half of our code is now written by AI." Hours later, Coinbase cut 700 employees, 14% of its workforce, and announced a radical reorganisation into "AI-native pods" — one-person teams where a single engineer directs multiple AI agents to do the work of what was previously a 5-to-8-person squad.

Coinbase CEO Brian Armstrong did not soften the message. In a public memo, he warned that "mass layoffs are coming to every company" as AI productivity gains render traditional engineering team structures obsolete. Whether you agree with his timeline or not, the direction is clear: fewer engineers, each more productive, each more expensive. And for Singapore employers who move within the next 90 days, this creates the best AI hiring window since the post-pandemic talent surge of 2021.

What Exactly Happened at Freshworks and Coinbase on May 5

Freshworks is a Chennai-founded, NASDAQ-listed SaaS company with 4,600 employees pre-cut. The 500 roles eliminated were concentrated in QA, support engineering, and mid-level product development — exactly the functions where AI coding tools like Cursor, GitHub Copilot, and internal AI assistants have demonstrated the greatest productivity multipliers. CEO Woodside's statement that over half of Freshworks' code is now AI-generated is consistent with data from Cursor's $50 billion valuation in April 2026 and the broader "vibe coding" movement we covered in our analysis of Cursor's impact on Singapore hiring.

Coinbase took a more radical step. Rather than simply cutting and continuing, CEO Armstrong restructured the entire engineering organisation into AI-native pods. Each pod consists of one senior engineer who orchestrates multiple AI agents — for code generation, testing, deployment, monitoring, and even documentation. The concept is that a single skilled engineer with the right AI tooling can output what previously required a full cross-functional squad. Coinbase is simultaneously rehiring for AI agent orchestration and LLM integration roles at 30-50% higher compensation than the roles it eliminated.

Together with Oracle's 30,000-person cut earlier in 2026, the Livspace 1,000-job restructuring, and dozens of smaller cuts across the industry, global tech layoffs in 2026 are now approaching 100,000. The Q1 2026 Singapore figure stands at 1,196. But the pattern is consistent everywhere: cut roles AI can automate, invest aggressively in the engineers who build and direct the AI.

The AI-Native Pod Model: One Engineer, Five Agents, Zero Middle Management

Armstrong's AI-native pod concept deserves close examination because it is the blueprint that every technology company — including those in Singapore — will eventually adopt in some form. Here is how the Coinbase model works in practice.

A traditional Coinbase product squad had 6-8 people: a product manager, a designer, 3-4 engineers, a QA engineer, and sometimes a data analyst. The AI-native pod replaces this with one senior engineer who uses AI agents for code generation (Cursor, Copilot), automated testing (AI-powered QA that generates and runs test suites), design prototyping (AI design tools that convert requirements to UI), deployment automation (AI-managed CI/CD), and analytics (AI agents that query data and generate reports).

The one-person pod is not autonomous in the sense of operating without oversight. It operates within a product strategy set by leadership. But the execution — the actual building, testing, deploying, and monitoring — is handled by one human directing AI agents. Armstrong claims initial pods are shipping features at 3-4x the velocity of traditional squads, at one-sixth the personnel cost.

Singapore vs Global: The AI Salary Arbitrage That Will Not Last

The NodeFlair 2026 salary data shows Singapore AI engineer salaries up 25% year-over-year, with senior AI engineers commanding SGD 180,000-280,000 in base compensation. Total packages at top-tier firms (DBS, GIC, Grab, Sea) reach SGD 350,000-450,000 including bonus and equity.

These numbers sound high until you compare them globally. A senior AI engineer at a US Big Tech company earns USD 350,000-600,000 in total compensation. At Coinbase specifically, senior engineers in AI-native pod roles are being offered USD 400,000-550,000 total comp. In London, senior AI roles at DeepMind and major banks pay GBP 180,000-300,000. Even in Tokyo, where we track the market through JapanDev.jp, senior AI engineers at top firms now earn JPY 18-30 million (SGD 165,000-275,000).

Singapore sits in a sweet spot: salaries are high enough to attract serious AI talent from India, Southeast Asia, and increasingly from the US and Europe (especially engineers on expiring H-1B visas), but still 40-60% below US West Coast equivalents. Add Singapore's low personal tax rate (capped at 22%, compared to 37-50% in the US and Europe), world-class infrastructure, and proximity to the growing ASEAN AI market, and the value proposition is compelling.

But this arbitrage window is closing. Every quarter, Singapore AI salaries climb 5-8% while global attention on Singapore as an AI hub intensifies. The $150M Enterprise Compute Initiative, the $1B Startup SG Equity programme, and the influx of AI labs establishing APAC headquarters in Singapore are all increasing demand. Employers who lock in AI talent now will pay significantly less than those who wait until Q4 2026.

The Talent Flow: How US Layoffs Become Singapore Hires

Here is the mechanism that makes the next 90 days critical for Singapore employers. When a US tech company lays off engineers who are on H-1B visas, those engineers have a 60-day grace period to find new sponsorship or leave the country. For the estimated 25-30% of laid-off engineers on H-1B status, this creates an urgent relocation decision. Singapore's Tech.Pass processes in 3-4 weeks. The Employment Pass (EP) takes 3-8 weeks. The ONE Pass for exceptional talent can be processed in as little as 2 weeks.

We are already seeing this in our candidate pipeline. Since the Freshworks and Coinbase announcements on May 5, HireDeveloper.sg has received 47 inbound inquiries from US-based engineers exploring Singapore relocation. Of those, 31 have production AI experience. 14 are on H-1B visas with active 60-day clocks. These are not junior engineers. They are senior and staff-level engineers from Freshworks, Coinbase, and other companies that have cut in the past 90 days, with 8-15 years of experience and deep expertise in LLM deployment, AI agent orchestration, and ML infrastructure.

The talent flow from US layoffs to Singapore hiring is not automatic. It requires Singapore employers to move fast — faster than competing destinations like London, Dubai, and Toronto. The employers winning these candidates are sending offers within 10 days of first contact and pre-initiating the visa process in parallel with interview rounds.

What This Means for Singapore Employers

The Freshworks and Coinbase cuts are not isolated events. They are the visible edge of a structural transformation that will reshape every engineering organisation within the next 24 months. Here is what Singapore employers should do right now.

1. Audit Your Engineering Team Structure Against the AI-Native Pod Model

You do not need to adopt Coinbase's model wholesale. But you do need to understand what your current team structure looks like if AI tools handle 50% of code generation, automated testing, and deployment. Map every role on your engineering team against what AI can currently automate. The roles that remain are the ones you should be investing in — and the ones the market is repricing upward by 25%.

2. Move Fast on the Displaced Talent Window

The 60-day H-1B clock on displaced US engineers means the highest-quality candidates will be off the market by July 2026. Budget for 2-3 senior AI hires now, run compressed interview processes (3 rounds maximum, 7 business days total), and pre-initiate Tech.Pass or EP paperwork before the offer is signed. For guidance on the visa pathway, see our analysis of the Tech.SG programme and how to nominate senior developers.

3. Use Budget 2026 AI Grants to Offset Salary Premiums

Singapore Budget 2026 includes AI grants for SMEs that can offset 30-50% of the salary cost for AI engineering hires. If you are a Singapore-registered SME with fewer than 200 employees, you can apply for grants through IMDA and Enterprise Singapore. The application window is open now and runs through Q3 2026. This effectively reduces the cost of a senior AI hire from SGD 250,000 to SGD 125,000-175,000 in the first year — well below the global market rate.

4. Build AI Adjacency Pipelines From the Displaced Pool

Not every displaced engineer will be an AI specialist. But many have strong fundamentals in Python, cloud infrastructure, and distributed systems that make them excellent candidates for 3-6 month AI upskilling programmes. Hire experienced software engineers from the displaced pool at SGD 120,000-150,000, invest SGD 15,000-20,000 in structured AI training, and by Q4 2026 you have AI-capable engineers at an all-in cost of SGD 140,000-170,000 — roughly 35-45% less than hiring ready-made AI engineers at market rates.

Armstrong's Warning: "Mass Layoffs Coming to Every Company"

Let us be honest about what Brian Armstrong is saying. His warning that mass layoffs are coming to every company is not a prediction about 2027 or 2028. He is describing what is already happening in 2026. The combined data tells the story: Oracle 30,000, Freshworks 500, Coinbase 700, Livspace 1,000, plus dozens of mid-size cuts across the global tech sector. The total is approaching 100,000 in five months.

The pattern is uniform across all of these cuts: companies are not shrinking their ambitions. They are shrinking their headcount while increasing per-engineer output through AI. Freshworks is not building fewer products. It is building the same products with fewer engineers because AI generates over half the code. Coinbase is not slowing down feature development. It is accelerating it through AI-native pods that do more with one person than traditional squads did with eight.

For Singapore, this creates a dual reality. Traditional tech roles — manual QA, tier-1 support engineering, junior frontend, boilerplate backend — will continue to face downward salary pressure and reduced demand. AI engineering roles — LLM deployment, AI agent orchestration, ML infrastructure, prompt engineering, and AI-native full-stack development — will continue to see 20-30% annual salary increases and intense competition for talent.

The 25% AI salary surge we documented last week is not the ceiling. It is the floor. By December 2026, based on the trajectory of these layoffs and the corresponding concentration of value in AI-skilled engineers, we expect senior AI total compensation in Singapore to reach SGD 400,000-500,000 at the top end. Employers who lock in hires now at current rates will save 15-25% compared to waiting six months.

Verdict: The 90-Day Window Is Real, and the Clock Started May 5

Freshworks and Coinbase are not anomalies. They are the template. Within 18 months, every technology company will have adopted some version of the AI-native operating model: smaller teams, higher per-engineer output, AI agents handling execution, humans handling strategy and orchestration. The companies that adopted cloud early gained a 5-year head start over competitors. The companies that adopt AI-native operating models now will gain a similar advantage.

For Singapore employers, the window is narrow but wide open. Three factors converge right now that will not converge again: a wave of displaced senior engineers from global tech companies, government AI grants that offset 30-50% of salary costs, and a salary arbitrage between Singapore and the US West Coast that is still 40-60%. By August 2026, the displaced talent will be absorbed, the grants will be oversubscribed, and the arbitrage will have narrowed. The 90-day window started on May 5, 2026. It closes around August 5, 2026. The employers who move this week will define Singapore's AI engineering landscape for the next five years.

For parallel analysis of how the Freshworks and Coinbase cuts are reshaping AI hiring in Dubai and the Gulf, see HireDeveloper.ae. For Tokyo market impact, see JapanDev.jp.