AI Becomes a Core Driver in Enterprise Software Earnings
Across the latest enterprise software earnings, one pattern is unmistakable: AI is no longer a side project but a central growth engine. Cloudflare reported revenue of USD 639.8 million (approx. RM3,000 million), up 34% year over year, explicitly linking momentum to demand for AI, agentic workloads and its Workers developer platform. RingCentral also delivered a strong quarter, with revenue of USD 644 million (approx. RM3,020 million) and record profitability, helped by rapid adoption of AI capabilities in its unified communications stack. Veritone, despite a softer top line, reaffirmed its full-year outlook on the back of rising demand for AI-ready training data from hyperscalers and enterprises. In contrast, Freshworks grew revenue 16% to USD 228.6 million (approx. RM1,070 million) yet remained loss-making and announced significant job cuts as it pivots harder toward AI. Together, these Q1 2026 results highlight how AI-native offerings increasingly determine competitive positioning and SaaS profitability trends.
Cloudflare’s Agentic AI Bet Powers Growth and Restructuring
Cloudflare’s Q1 performance illustrates how deeply AI is being woven into infrastructure platforms and operating models. Revenue rose 34% year over year to USD 639.8 million (approx. RM3,000 million), with management citing surging demand tied to AI workloads, agentic traffic and the Workers developer platform. Large customer momentum was strong: 4,416 clients now contribute more than USD 100,000 in annual revenue, up 25%, and these accounts deliver 72% of total revenue. Profitability also improved, with operating income of USD 73.1 million (approx. RM340 million) and an 11.4% margin. Yet the more radical move is organizational. Cloudflare is cutting around 20% of its workforce—over 1,100 roles—not as a pure cost-saving exercise, but to redesign work around an “agentic AI-first operating model.” Internal AI usage has surged, with 97% of R&D staff using AI coding tools, underscoring how AI is reshaping both revenue engines and internal productivity.
RingCentral Monetises AI Within Recurring UC Subscriptions
RingCentral shows how embedding AI into existing subscription products can translate into durable AI revenue growth. Q1 revenue reached USD 644 million (approx. RM3,020 million), up 5.3% year over year and at the top end of guidance, with 97% coming from subscription revenue. Profitability was a standout: GAAP operating margin climbed to a record 7.8%, supported by lower stock-based compensation, while non-GAAP margins and free cash flow strengthened enough for the company to raise its full-year outlook and introduce both dividends and share buybacks. AI adoption is becoming a key lever. Customers using at least one paid AI product now account for more than 10% of the base, having doubled in a year and grown double digits sequentially. These AI-engaged customers show higher average revenue per user and net retention above 100%, demonstrating how AI features embedded in unified communications can enhance both top-line growth and SaaS profitability trends.
Veritone Banks on AI Training Data While Freshworks Balances Growth and Cuts
Veritone offers a different angle on AI monetisation, focusing on the data layer rather than application features. Q1 revenue declined to USD 20.3 million (approx. RM95 million), pressured by weaker managed services, but the company reaffirmed full-year guidance, pointing to rising demand for high-quality, AI-ready data via its aiWARE platform and Veritone Data Refinery. Deals with major technology firms such as Google and NVIDIA expanded its near-term VDR pipeline to nearly USD 70 million (approx. RM330 million), while AI-driven annual recurring revenue grew 9%. Freshworks, meanwhile, highlights the execution risk in an AI pivot. Revenue climbed 16% to USD 228.6 million (approx. RM1,070 million), fuelled by its Employee Experience platform and AI Copilot. Yet the firm still posted a GAAP operating loss of USD 8.1 million (approx. RM38 million) and announced an 11% workforce reduction—about 500 roles—to embed AI deeper into product and engineering, aiming for long-term efficiency and profitability.
Enterprise Buyers Now Expect AI-Native SaaS Capabilities
Taken together, these Q1 2026 results show that enterprise buyers increasingly prioritise AI-native features when choosing software and cloud providers. Cloudflare’s growth in large accounts and “hundreds of billions” of agentic requests each month signal that AI workloads are moving into production at scale. RingCentral’s experience—where customers adopting paid AI modules generate higher ARPU and better retention—demonstrates that buyers will pay a premium for demonstrable productivity gains. Veritone’s expanding pipeline with hyperscalers underscores how demand is shifting toward high-quality training data and specialised AI infrastructure, not just end-user tools. Freshworks’ decision to restructure and automate more of its operations reveals how even fast-growing SaaS vendors must realign around AI to stay competitive. The emerging pattern in enterprise software earnings is clear: future growth, margins and valuations will hinge on how effectively vendors build, price and scale AI capabilities across their platforms.