Zoho Corporation has decided to withhold its usual annual salary increases for employees this year, citing a sharp rise in artificial intelligence (AI) infrastructure costs and uncertainty surrounding the software industry. Co-founder and chief scientist Sridhar Vembu announced the decision in a post on X on 12 October, warning that the outlook for software jobs remained challenging.
Vembu said the company was facing a fourfold increase in server prices required to operate its data centres, alongside rising expenses from growing AI usage. A challenging geopolitical environment has added to the pressure, prompting Zoho to reduce its marketing expenditure and tighten cost controls.
“The business outlook for software is uncertain, and AI has raised costs dramatically,” Vembu said, explaining the factors behind the decision. He apologised to employees for not being able to provide their usual pay increases and thanked them for their understanding.
The company is also seeking to avoid mass layoffs, Vembu said, adding that its employee count had remained unchanged for the past 18 months. He described the current period as one of reinvention for Zoho, with the next three to five years likely to determine the outcome of that effort.
Rising AI costs complicate the efficiency equation
Zoho’s decision highlights a growing challenge for software companies investing in AI: improving productivity does not necessarily translate into lower operating costs.
While generative AI tools can accelerate software development, testing and customer support, running AI-powered products requires computing capacity, data centre infrastructure and ongoing model usage. These expenses can rise as companies integrate AI into more products and customers increase their usage.
For software-as-a-service (SaaS) providers, the challenge is to balance these investments with sustainable pricing and profitability. Companies must determine whether the productivity gains and new revenue streams generated by AI will be sufficient to offset higher infrastructure costs.
Vembu’s comments also underline how quickly the economics of AI adoption can shift. Technology businesses that once viewed AI primarily as a route to operational efficiency are increasingly having to account for the cost of deploying and maintaining it at scale.
Software employment outlook under scrutiny
The salary freeze comes amid wider questions about how AI could reshape technology employment. Vembu said Zoho would work hard to avoid mass layoffs but described the broader outlook for software jobs as “grim”.
His remarks point to the uncertainty facing companies as they reassess hiring, workforce requirements and investment priorities. AI-assisted development could enable smaller teams to deliver more work, while also increasing demand for specialised skills in AI engineering, data infrastructure, cybersecurity and governance.
For India’s technology sector, the implications extend beyond individual employers. Changes in software development and service delivery could influence entry-level hiring, career progression and the skills expected of technology professionals.
However, Zoho’s decision to freeze salary increases should not be interpreted as evidence that AI alone is responsible for employment pressures across the industry. The company has cited a combination of higher operating costs, geopolitical uncertainty and an unclear business outlook.
A period of reinvention for Zoho
The company’s immediate priority appears to be managing expenditure while navigating a changing software market. Reducing marketing spend, holding back salary increases and maintaining a stable headcount are among the measures Vembu has outlined.
The longer-term challenge will be to adapt its business to an environment in which AI is changing both the cost of developing software and the expectations of customers.
“We are in the middle of reinventing ourselves. The next 3–5 years will decide how our reinvention has worked,” Vembu said.
Zoho’s announcement offers a reminder that the AI transition is not simply a question of adopting new technology. For software businesses, it is also about managing the cost of innovation, protecting sustainable growth and determining how productivity gains translate into commercial returns.
As enterprises accelerate AI adoption, the balance between technology investment, operating expenditure and workforce planning is likely to remain a central issue for the software industry.
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