As artificial intelligence becomes increasingly embedded across workplaces and industries, Infosys has said that 2026 could mark a decisive turning point between organizations that successfully transform with AI and those that fail to keep pace.
In an interview with People Matters, Infosys leaders said many companies are currently experimenting with AI tools, but only a small number have been able to integrate them meaningfully into everyday work. The company believes this gap will widen in the coming years.
Infosys has previously highlighted similar concerns around the urgency of AI adoption. In an earlier analysis, the IT services major explained why 2026 could be a critical turning point for AI adoption in the workplace, warning that organizations delaying large-scale implementation risk falling behind faster-moving competitors.
Infosys said becoming an AI-first workplace requires far more than adding chatbots or automation tools. It involves a fundamental redesign of job roles, team structures, and employee training models.
The company emphasized that AI should not be seen only as a tool for cost reduction or job replacement. Its true value emerges when humans and AI work together, with machines handling repetitive tasks and employees focusing on judgment creativity and complex problem-solving.
Many organizations remain stuck at the pilot stage, running limited AI trials across select functions. Infosys warned that companies that do not scale AI across workflows and departments risk losing competitiveness over time.
According to the IT services firm, businesses that embed AI into daily operations by 2026 are likely to become more efficient, enhance employee productivity, make faster decisions, and respond more effectively to market changes.
Infosys also said AI is expected to reshape jobs rather than eliminate them entirely. New roles will emerge that blend technical expertise with human skills such as communication, ethical reasoning, and leadership.
The company highlighted the critical importance of reskilling and upskilling, stating that employees will need continuous learning opportunities to work confidently alongside AI systems.
Organizational culture will play a major role in AI adoption, Infosys said. Leaders must encourage experimentation, learning and adaptation instead of creating fear around mistakes or disruption.
Infosys added that HR teams and senior leadership will be central to managing this transition, from designing training programs to rethinking management practices.
As AI tools become more powerful and accessible, Infosys said the key question for companies is no longer whether to adopt AI but how effectively it is integrated into people’s processes and culture. Organizations that act early and thoughtfully are likely to emerge as leaders in an AI-driven future.
