AI undoubtedly stands at the centre of workplace transformation. Across sectors and regions, businesses are reshaping everyday operations around machine intelligence.
Published to coincide with its 2026 Annual Meeting in Davos, the World Economic Forum’s (WEF) latest report, AI at Work: From Productivity Hacks to Organisational Transformation, captures insights from more than 20 tech giants and their clients to show how work continues to shift.
Global leaders and senior executives from 25 companies – including Cisco, ServiceNow, Wipro and Pegasystems – have committed to a formal agreement in Davos, aimed at expanding access to AI, boosting global digital skills and building new entry points into what the WEF calls “AI-native” roles.
It is hoped the joint initiative will reach more than 120 million people by 2030.
AI restructuring workflows
Three years after the release of ChatGPT, its impact on the workplace is clear, with AI increasingly driving end-to-end redesign of business functions.
Organisations now use AI to sort legal contracts, detect financial discrepancies and reconfigure how healthcare tasks are managed.
The WEF highlights one example where a company uses AI to analyse months of tax data and regulatory texts, uncovering US$120m in savings and cutting a complex filing process from weeks to just three days. Another case study sees a firm reduce a 30-minute laboratory ordering procedure to mere seconds, freeing up 30,000 hours each year.
Nathan Jokel, SVP of Corporate Strategy and Alliances at Cisco, comments: “Across multiple industries, we already see gains as AI enables individual employees to complete tasks more quickly and accurately. However, the bulk of the opportunity is yet ahead of us.
“The greatest transformation will come as organisations redesign workflows from the ground up around AI and invest in advanced AI skills for their teams.”
Career structures face realignment
AI’s influence stretches beyond tools and workflows to the career paths. The WEF finds that the effects are not limited to entry-level positions. In many cases, mid-level roles face greater pressure.
Employees in junior roles now use AI copilots and virtual knowledge assistants to contribute to complex tasks and client interactions that once required more experience. The result is a faster progression through job levels, changing the shape of career development.
Hala Zeine, SVP and Chief Strategy Officer at ServiceNow, says: “Looking ahead, we will work with AI to support us in decision-making, take on repetitive but necessary tasks and allow us to focus on meaningful work.
“It is inevitable – we will see org charts incorporate AI agents as formal team members alongside humans, assigning them defined responsibilities and performance metrics, which signals a clear shift towards hybrid human-AI teams.”
Access, skills and trust
While AI improves output, data from the WEF shows workplace wellbeing can also be improved.
Leaders report that AI reduces burnout, cuts repetition and allows employees to focus on higher-value tasks. Some organisations use AI to personalise learning and communication, raising the possibility that cultural engagement and team satisfaction become as trackable as performance outcomes.
The WEF’s Communications and Technology community takes an active role in shaping this change. At this year’s meeting in Davos, 25 companies are officially supporting the ‘Commitment to Creating Economic Opportunities for All in the Intelligent Age’.
This shared pledge is built on three principles:
- Access: Provide workers with free or low-cost AI tools, while considering language, cultural and socioeconomic differences
- Skills: Equip global workers with the digital and human capabilities needed to thrive in AI-supported roles
- Job pathways: Build clear entry routes into AI-focused jobs through apprenticeships, skills-based hiring and community-led training
Ajay Bhaskar, Chief Strategy and Transformation Officer at Wipro, explains: “The tech industry does not just innovate gadgets or solutions – it shapes the future direction of economies and societies.
“As AI becomes deeply embedded in our lives, it is imperative for the sector to be proactive and lead the way in developing the broader workforce in the context of a Human+AI future.”
The importance of trust
However, for all its promises, AI implementation still requires trust – especially in regulated sectors. Predictability and accountability become essential where errors carry financial, legal or health consequences.
Steve Rudolph, Vice President of Strategy and Transformation at Pegasystems, adds: “AI serves different purposes at design time versus run time.
“At design time, AI drives innovation and creativity – variability in outputs is acceptable as we explore possibilities. At run time in operational environments, especially in regulated industries like banking, healthcare and insurance, we need predictability and traceability.
“AI must be orchestrated to ensure consistent, auditable outcomes rather than operating as an unpredictable black box.”
The WEF concludes that AI’s impact on the nature of work is now irreversible. As businesses rework how they operate and who they hire, the challenge becomes making AI part of a shared human-machine ecosystem that enables opportunity.
