Block, Amazon, Synopsys and Cloudflare Outline Workplace AI Plans

Block, Amazon, Synopsys and Cloudflare are reshaping how staff use artificial intelligence, with different approaches to controls, training and hiring that aim to connect adoption to customer or operating results.

The approaches emerged at an Oct. 13 panel in Santa Barbara. Block is developing a way to trace software work to customer value, Synopsys is controlling model access and usage, Amazon is assessing employee adoption in stages, and Cloudflare is extending AI efforts across teams and intern projects.

Together, the examples span software development, model access, formal governance, finance operations and early-career hiring. They show companies treating AI as an operating issue alongside a software decision.

Block completed a workforce plan during the quarter ended June 30, reducing its workforce by more than 40%. It recorded $495 million in restructuring charges in the first half of 2026 and projected annualized net savings of about $800 million to $900 million. The company listed AI automation among several efficiency steps, alongside prioritizing work and centralizing teams.

Block Chief Financial Officer and Chief Operating Officer Amrita Ahuja used the phrase “human at the center” to describe the role people play in redesigned workflows. The company is developing a “timed customer value” measure to trace a software change through a feature and customer interaction to the value it generates. Block has also discussed AI agents joining more company organization charts.

Synopsys CFO Shelagh Glaser said AI spending “was pretty reasonable until it wasn’t.” The company directs some employees to premium models and others to internal models, and it built a system to meter usage when providers do not offer tracking. Its controls include an internal AI Tools Review Board, an AI-use policy and training through its AI Academy.

Amazon Vice President of Customer Experience Products and Services Heather Zorn described a staged review that starts with employees’ initial AI use, then looks at ongoing activity and later efficiency outcomes such as time saved. She framed the goal as producing “wins for the customer.”

Cloudflare assigned a finance director with extensive AI-agent experience to lead the finance team’s AI transformation. Its internship program set a target of hiring as many as 1,111 interns in 2026, with the cohort focused on finding AI uses across customer needs, products, the company’s network and operations. Co-founder and President Michelle Zatlyn described the effort as involving “both employees and agents.”