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We are currently operating in the mindset of an AI revolution, with new agents, capabilities, and expectations emerging almost daily. Gartner researchers have identified nine trends shaping work in 2026.
Why it matters:
Much of the buzz surrounding AI’s impact on the workplace is driven by assumptions or incomplete understandings of its day-to-day effects. Gartner’s research highlights nine critical areas that warrant close attention as the relationship between humans and AI grows increasingly complex.
- The promised efficiency gains of AI are rooted in the evolution of a human-machine workforce—one that, if managed strategically, can create meaningful opportunities for differentiation.
- AI’s effects are being felt by job seekers, recruiters, managers, and executives across industries and seniority levels, making it a challenge that cannot be ignored.
What researchers found:
- Only one in 50 AI investments delivers transformational value, and only one in five delivers any measurable return on investment.
- 91% of CIOs and IT leaders say their organizations dedicate little to no time to scanning for behavioral byproducts of AI use.
- Only half of job candidates believe the roles they are applying to are legitimate.
- By 2028, an estimated 25% of job candidates will be fake.
How we know:
Gartner draws on structured surveys of executives across its global client base, proprietary research panels, and benchmarking programs. Its direct access to enterprise leaders allows it to segment findings by industry, geography, and role. The result is sector-specific insight and a sharper, more nuanced view of the trends shaping 2026.
What this means:
- For CHROs: Ensure workforce size, structure, and skills align with current priorities while enabling an AI-infused business model. Winning recruiting strategies will blend high-touch approaches, such as in-person engagement and experiential assessments, with AI-enabled tools to protect candidate quality and recruiter impact. CHROs must also strengthen safeguards against insider threats by preparing employees to recognize and report malicious behavior.
- For organizations: Leading organizations will be transparent internally and externally about their culture and performance expectations, including hours, output, and location. They will also need clear accountability frameworks for employee actions taken using employer-provided AI tools. Firms that direct AI investments toward meaningful employee pain points may see slower adoption than those that mandate use, but they are more likely to achieve higher-quality work and stronger financial returns.
- For executives: Forward-looking leaders will mitigate digital talent flight by investing in upskilling, addressing job security concerns, and communicating clearly about how AI investments will reshape roles and career paths.
Now what:
In separating signal from noise around AI, organizations must identify which trends will most shape their industry and talent strategy—and how to manage risks while capturing opportunities for differentiation.
