“AI models are undoubtedly automating varied tech processes, and the world is certainly altering—there’s no denying that,” stated Amit Zavery, president and chief working officer of US-based enterprise software program maker.
“However, reality be informed, enterprises won’t ever merely go and undertake a barebones mannequin for the work they do—they need belief, compliance, a workforce to fall again on, safety, and greater than anything, compatibility with many distributed companies in a company,” he informed Mint in an interview. “That’s precisely the place we are available, at the same time as our core software program is modified with AI integration.”
The Santa Clara, California-headquartered ServiceNow competes with the likes of SAP and Salesforce to construct software program for varied processes for firms. It reported $13.3 billion in international income in 2025and has practically 4,000 staff constructing software program from its workplaces in Hyderabad and Bengaluru. India is its largest expertise hub exterior of the US.
The corporate, like all friends, has taken a beating on the bourses. On the New York Inventory Trade, ServiceNow’s shares are down 30% because the begin of this yr. Zavery, nonetheless, feels that the response is just too sharp, too steep.
“Many traders and audiences aren’t very well-versed with precisely what these AI models will do, which is what results in a type of apprehension that, at instances, may very well be deceptive. It’s not that AI models will exchange software program—in each type of expertise shifts, we have now seen such issues,” he stated. “For example, when the world moved from on-premise IT servers to the cloud, many felt that IT managers would lose their jobs. As a substitute, they developed to turn into cloud operations managers—which is definitely a better talent than earlier than.”
The corporate employs over 29,000 staff worldwide, out of which Zavery maintained that “there isn’t a sector the place India doesn’t play a job, or works as a back-office. It will proceed to be true.”
The rationale for his optimism, Zavery stated, is pushed by consumer conversations.
“As we converse with companies, it’s more and more clear that almost all enterprises don’t care in regards to the particular capabilities of every mannequin. On the finish of the day, all they care about is what’s going to cut back their price probably the most, and which mannequin will get the job performed greatest, and with out disruptions. That’s the place we are available, and we see this to be true for many of our shoppers.”
Enterprises, business analysts imagine, won’t see gross disruption instantly. On the sidelines of the India AI Impression Summit, Anushree Verma, senior director analyst at Gartner, stated most AI firms will concentrate on consumer partnerships fairly than on particular AI mannequin efficacies.
“Most AI models will rely on how effectively they carry out for companies. So, it won’t simply rely on outright disruption, however how effectively a expertise is carried out by enterprises,” she added.
Zavery additionally has a contrarian tackle more energizing hiring at expertise firms.
“Whereas we do upskill mid- and senior-career engineers, the reality is that almost all freshers are savvier with the most recent applied sciences, and can more and more graduate from schools with natively educated AI expertise—as an alternative of getting to retrain and readjust what they’re good at. We are going to proceed hiring freshers in consequence,” he stated.
Finally, he believes that automation won’t exchange jobs for software program makers.
“An engineer solely codes for 30-40% of his working time. Because of this for the remainder of the time, they’re pondering, artistic professionals who work on foundational software program and transformational applied sciences, since AI anyway automates most of their coding efforts,” Zavery stated. “This additionally implies that our engineer base will stay the place it’s, whereas extra individuals will work on creating new enterprise software program.”
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