Acrisure Cuts 2,250 Jobs and Attributes It to AI: The Cost of Automation Arrives at Insurance Brokers
The American brokerage, valued at $32 billion, has laid off 11% of its workforce, attributing the cuts to AI. Economists like Peter Cappelli and Marc Andreessen see another explanation. What does this mean for the insurance sector in Brazil?
Acrisure, a brokerage and insurance platform based in Grand Rapids and valued at $32 billion, announced on 20 May the cut of 2,250 jobs, about 11% of a workforce that exceeds 19,000 people across 23 countries. The explanation came in a letter sent to employees by CEO Greg Williams: "advances in technology, AI, and digital platforms are fundamentally changing how businesses operate, how customers expect to be served, and how value is created." Williams stated that customer-facing tasks that used to take days or weeks now conclude in minutes. This is the second round of layoffs attributed to automation in seven months: in October 2025, the company had already eliminated around 400 jobs in accounting and back-office roles.
The Automation that Fits in the Spreadsheet
Insurance is, today, the field where generative AI delivers the fastest returns. Claims triage, underwriting support, and policy administration are repetitive, rule-based processes, the exact profile that models process with greater speed. The Capgemini Research Institute identifies banks and insurers as the first to scale AI agents, with initial gains concentrated in onboarding, compliance documentation, and claims processing. For a company built on the acquisition of more than 800 brokerages, which grew from $38 million to nearly $5 billion in revenue, automating this operational core directly affects the margin. Acrisure raised $2.1 billion in a round led by Bain Capital and saw its valuation rise by about 40% in three years, reaching the current $32 billion. Cutting 2,250 salaries is, in this view, the counterpart to those promising to serve the customer in minutes.
The Counter-Argument Has a Name and a Surname
The thesis that AI explains the layoffs faces resistance from economists studying the labour market. Peter Cappelli, a management professor at Wharton, argues that the financial case for layoffs due to AI is often exaggerated and that companies are cutting jobs due to pressure from investors and a change in attitude towards labour costs. Marc Andreessen refers to AI as the "silver bullet excuse" for layoffs that, according to him, reflect over-hiring during the pandemic. J.P. Gownder, an analyst at Forrester, summarises the mood: "AI washing is widespread at this moment." Oxford Economics concluded that companies "do not appear to be replacing workers with AI on a significant scale." One detail fuels suspicion in the Acrisure case: the brokerage opened a $184 million amphitheatre just days before announcing the cuts, a sign of capital allocation unrelated to algorithms.
Therefore, the correct question is not whether AI eliminates jobs, but rather whether these specific cuts represent productivity gains or margin engineering framed in AI language. Both coexist, and public numbers do not allow for precise separation. The analysis by Cappelli and Oxford Economics undermines the more alarmist version that technology is already automating mass layoffs independently and demands scepticism from those who accept the company's statement as proof.
The Bridge to Brazil
For the Brazilian insurance market, regulated by Susep and in full consolidation among brokerages, this episode is a two-fold warning. On one hand, insurers and large local brokers will face scrutiny from shareholders and clients for the same "from days to minutes" that Williams sold to his workforce. On the other hand, IT consultancies and BPO centres that profit precisely from back-office hours in claims and underwriting see their base shrink. The script is already playing out internally: Itaú maintains over 500 AI projects and a team of about 17,000 developers, while Bradesco's BIA Tech, used by 80% of developers and product owners, has raised productivity by 46%. Those selling automation to the national financial sector are competing for the same space that Acrisure is internalising.
The relevant signal for a Brazilian CIO is not the number 2,250, but rather the fact that a profitable, cash-generating brokerage has begun to treat automation as a permanent line on the results, rather than as an isolated pilot. And there is an uncomfortable point: there is no legal requirement in either the United States or Brazil to disclose when a cut is motivated by AI. Until such a rule arrives, "crediting AI" remains a statement the company makes about itself, which is why voices like Cappelli's weigh as heavily as that of the CEO.