AI goes native: incumbents surge as agentic tools embed

Agentic enterprise software is not a separate AI layer bolted onto business systems; it is AI becoming native platform behavior inside them. At Cloud Next 2026, Google changed the name of its flagship enterprise AI platform, folding prior AI products into Gemini Enterprise and signaling a shift from selling models to selling agents as platform functionality. No-code tools such as Workspace Studio let business teams automate existing processes without waiting for custom engineering or replacing the surrounding enterprise stack.

What makes that software enterprise-grade is not just generation but governed autonomy: agents can act across systems, yet do so through trusted controls, shared context, and interoperability standards. The Tech Trek highlighted the protocol Agente-a-Agente (A2A) in version 1.0, already in production inside 150 organizaciones distinctas, and Teradata described the same architectural shift as outcome-centric software built around the right human in the loop, trust, governance, and a curated knowledge layer close to where agents reason and act. That is why embedded agentic AI expands software economics instead of cannibalizing them: autonomy adds new capabilities, new optimization work, and new reasons to stay on the platform. The Tech Trek reported that Gemini Enterprise registered 40% growth quarter over quarter in monthly active paying users, emphasizing these were paying users rather than pilots, while humans remain involved where judgment, exception handling, and commercial decisions are essential.

The common packaging pattern is additive, not replacement: legacy vendors are bolting AI onto the software layers customers already run, with governance and execution wrapped inside the platform. ServiceNow’s model is explicit, starting with an AI Control Tower for visibility, security, lifecycle and observability, then exposing reusable “full job” autonomous workers for L1 support, security analyst and HR tasks so customers “don’t have to build huge systems,” while agentic playbooks slot into existing workflows instead of forcing a rewrite.

That same architecture shows up across other incumbents. A security executive told an August interview that, unlike the SOAR era — “10 years when SOAR came into play… the thought was let’s automate mundane tasks, but you had to hardcode the workflows with Python” — vendors are now adding agentic AI “on top of their existing platform”; Salesforce likewise said “AI Force” is an interface layer bringing its data, workflows, permissions and business rules into Claude and Slack, while Teradata’s push was packaged as embedded components, including the partnership headlined “WisdomAI Teams with Teradata to Embed Agentic Analytics in Tera Coworker by 2026,” with broader availability on Teradata Cloud expected after testing in 2026.

By late August 2026, the market was no longer treating AI as a reason to discount incumbent software names; it was rewarding them. UC Today, citing Reuters, reported that Workday shares rose almost 18% after the report emerged, taking the company’s market value from about $43 billion to more than $51 billion, in line with the reported buyout price. That reaction landed because Workday’s operating performance already supported a stronger AI-era valuation narrative rather than the feared displacement of legacy applications.

The validation broadened through the late-August and September earnings cycle as results beat expectations and investors chased AI-linked upside across established vendors. Workday had generated $9.55 billion in fiscal 2026 revenue, up 13.1% year over year, with subscription revenue up 14.5% to $8.83 billion, then posted first-quarter fiscal 2027 growth of 13.5% in total revenue to $2.54 billion and 14.3% in subscription revenue; meanwhile, StockStory said Manhattan Associates jumped 3.9%, Agilysys 4.6%, Guidewire 4.9%, Pegasystems 6.2%, and Teradata 4.7% after stronger-than-expected results and upbeat AI commentary. The signal was not confined to public-market momentum: Thoma Bravo had agreed earlier in 2026 to acquire Workday rival Dayforce in a deal valued at about $16 billion, reinforcing the idea that AI-compatible incumbents were being re-rated rather than replaced.