Figma’s AI Growth Comes With Rising Costs
Revenue rose 48% and AI use spread across large customers, while research and development expense more than doubled from a year earlier.
Business, technology and what comes next.
NextNow / Archive
Revenue rose 48% and AI use spread across large customers, while research and development expense more than doubled from a year earlier.
Revenue rose 9% as the company lifted its full-year outlook and pointed to AI products serving legal, corporate, tax and accounting customers.
The multibillion-dollar agreement will add European computing capacity and allow Mistral models to run across cloud, customer-controlled and disconnected environments.
Why the value of enterprise agents will depend less on autonomy and more on how deliberately the work is designed
Google Cloud is consolidating its enterprise AI development tools around agents that can run longer, use multiple systems and remain visible to IT.
Enterprise teams are moving from accumulating applications to defining which systems truly deserve budget and operational dependence.
Enterprise agents are adding persistent context to the traditional knowledge stack, making the quality and governance of institutional memory a competitive issue.
New chips, lighter glasses and on-device AI are moving spatial computing toward narrower, more practical uses beyond the demonstration stage.
The security model for enterprise AI is shifting from controlling a tool to governing software actors that can choose and execute actions.
Software buyers are beginning to evaluate whether a system can serve agents as reliably as it serves people.