Elastic cuts 7% of workforce, cites AI and automation gains

Elastic, the company behind the Elasticsearch search engine and Kibana data visualization platform, is eliminating approximately 7 percent of its workforce as artificial intelligence and automation tools change how its engineering teams operate.

CEO Ash Kulkarni announced the reduction in a blog post, explaining that while customer-facing sales teams will continue expanding, "advances in AI and automation are letting us operate with leaner teams." Based on the company's most recent 10-K filing showing 4,019 employees, the cuts will affect roughly 300 workers.

Engineering restructure accompanies layoffs

Kulkarni said engineering—"where the nature of the work is evolving fastest"—will be reorganized into three core areas, each led by a senior leader reporting directly to him. The restructuring aims to create "a simpler structure, with fewer layers, less complexity, and less friction," according to the CEO.

Despite the cuts, Elastic filed an 8-K with the Securities and Exchange Commission stating it "expects total headcount to grow this fiscal year compared to last fiscal year." The company plans to continue hiring in what it calls "key strategic areas and locations," particularly in customer-facing go-to-market functions.

The layoffs come as Elastic reported strong financial performance. Last month, the company announced Q4 fiscal year 2026 revenue of $451 million, representing 16 percent year-over-year growth.

Why it matters

Elastic's move illustrates a broader shift in how software companies are deploying AI tools—not just in their products, but to reduce headcount in technical roles. The company is explicitly linking workforce reductions to productivity gains from AI and automation, a rationale that may become more common as generative AI tools mature. For engineering leaders, this signals both opportunity and risk: AI may amplify individual productivity while potentially constraining team growth even at profitable, growing companies.

Turbulent licensing history

Elastic has navigated significant strategic shifts in recent years. In 2021, the company abandoned the permissive Apache 2.0 license in favor of the Server Side Public License (SSPL), attempting to prevent cloud providers from offering its software as a managed service. Amazon Web Services responded by forking the codebase into OpenSearch, which was later transferred to the Linux Foundation.

In 2024, Elastic added the GNU Affero General Public License v3 (AGPL) as a licensing option. CTO Shay Banon said at the time, "I am so happy to be able to call Elasticsearch Open Source again."

The Register first reported the workforce reduction and organizational changes.