{"id":278687,"date":"2026-10-16T08:18:00","date_gmt":"2026-10-16T01:18:00","guid":{"rendered":"https:\/\/www.thestorythailand.com\/?p=278687"},"modified":"2026-10-16T14:27:46","modified_gmt":"2026-10-16T07:27:46","slug":"gartner-ai-rehire-prediction","status":"publish","type":"post","link":"https:\/\/www.thestorythailand.com\/en\/gartner-ai-rehire-prediction\/","title":{"rendered":"Gartner identifies 4 key shifts shaping the future of work"},"content":{"rendered":"\n

As artificial intelligence continues to accelerate the pace and scope of work, CIOs and business executives must prepare for four critical shifts shaping the future of work, according to Gartner, Inc. The research firm predicts that by 2029, 30% of employees laid off due to replacement by AI will need to be rehired, often at significantly higher costs.<\/p>\n\n\n\n

While workforce reductions may deliver short-term financial gains, Gartner warns that they deplete talent pipelines and erode institutional knowledge. Amid flat or declining global labor force growth, competition for talent will escalate, ultimately driving up recruitment, training, and onboarding expenses. Furthermore, Gartner predicts that by 2027, 75% of organizations that prioritize capturing AI productivity gains as cost savings will be eclipsed by competitors that aggressively reinvest those gains into innovation, modernization, and upskilling.<\/p>\n\n\n\n

Tori Paulman, VP Analyst at Gartner<\/strong>, saids \u201cWhen business and IT executives look back on the early AI-era, they will realize their greatest mistake was believing that work automation was the point, when workforce amplification was the opportunity. The competitive advantage will go to the CIOs and business executives who build an AI-shaped organization where AI value compounds by reshaping roles and allowing workflows to cross traditional boundaries, increasing velocity and reducing friction.\u201d<\/p>\n\n\n\n

\n

\u201cBusiness and IT executives who use AI primarily as a tool for cost cutting risk making reductions that are too deep and too soon, affecting their ability to innovate their business model and compete in new markets as AI continues to mature. Instead, they should develop a \u2018talent remix\u2019 strategy that uses AI to reshape roles and redirect workers from less productive work to new opportunities.\u201d<\/p>\n<\/blockquote>\n\n\n\n

Referring to the Gartner 2026 Hype Cycle for the Future of Work, Paulman noted that as early AI investments enter the Trough of Disillusionment, the primary challenge facing leaders is no longer technological, but using AI to amplify human intelligence, expertise, and creativity.<\/p>\n\n\n\n

To navigate human-AI workforce transformation, Gartner outlines four key shifts:<\/p>\n\n\n\n

Shift 1: Expand Human Capability Through the Human-AI Relationship<\/h3>\n\n\n\n

As AI evolves into a \u201ctoolmate,\u201d organizations must create richer forms of collaboration that enhance human capability while preserving accountability. The most successful companies will use AI to strengthen employees\u2019 judgment, creativity, leadership and decision making rather than replace them.<\/p>\n\n\n\n

Technologies that can help enable this shift include AI avatar of the employee, AI toolmate, digital coaching applications, employee digital twin and emotion AI.                          <\/p>\n\n\n\n

Shift 2: Empower an AI-Ready Workforce That Adapts (Not Just Adopts)<\/h3>\n\n\n\n

The pace of technological change is exposing critical gaps in skills, adaptability and workforce readiness. Organizations need employees who can continuously learn, collaborate across disciplines and thrive in increasingly fluid roles.<\/p>\n\n\n\n

Future-ready organizations will invest in building AI literacy, AI-enabled skills management, digital dexterity and workstyle analytics among their workforce, and ensure their executives are \u201cAI savvy\u201d.<\/p>\n\n\n\n

Shift 3: Deepen Context, Judgment and Meaning<\/h3>\n\n\n\n

As AI becomes embedded in more business processes, organizations face a growing risk that context, human judgement and institutional knowledge could be lost. Future-ready companies will design systems that strengthen decision quality, maintain human oversight and ensure workers understand not only how a process is performed, but also why it is performed that way.<\/p>\n\n\n\n

Technologies that CIOs can consider include conversational user interfaces, decision intelligence platforms and generative UI.                       <\/p>\n\n\n\n

Shift 4: Build a Foundation for Compound Value<\/h3>\n\n\n\n

Long-term success will depend on going beyond the adoption of everyday AI tools by creating the conditions where each use case is faster, less expensive and safer than the one before it. <\/p>\n\n\n\n

Gartner predicts that by 2027, 75% of organizations that prioritize capturing AI productivity gains as cost savings will be eclipsed by competitors that aggressively reinvest those gains into innovation, modernization and upskilling.<\/p>\n\n\n\n

Technologies that can help CIOs enable this shift include AI-powered wearables, domain-specific GenAI models, embodied AI and vibe coding.<\/p>\n\n\n\n

SYNNEX-AWS launch AI Hub to accelerate enterprise AI adoption in Thailand<\/a><\/p>\n\n\n\n

Temus invests in Thinking Machines to scale enterprise AI across Southeast Asia<\/a><\/p>\n\n\n\n

Thais lead Southeast Asia in Gemini lifestyle use, 87% prompts in local language<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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