Workers Will Treat AI Like a Colleague This Year, Forcing Firms to Rethink Training and Hiring

Local employers that teach staff to use intelligence tools will lead, experts say

Companies that make AI a standard skill for employees — not just a toolbox for managers — will gain the biggest advantage in 2026, according to analysts and local leaders tracking adoption trends.

More companies finally are moving AI out of the margins of daily work and toward decision-making lanes. Many firms rushed to deploy software that automates routine chores and turns data into readable reports, but usage by rank-and-file staff has skewed toward simple checks and drafting. Today, more than half of workers rely on AI mainly to proof their output and to draft messages or reports, while supervisors are already using the same systems for higher-level tasks such as examining team and business metrics, digging into research and setting priorities. And managers report that about two-thirds shaved a week or more off their go-to-market timelines after integrating these tools.

That gap between how executives and employees use AI is drawing attention from human-resources and operations teams in cities across the country. “We’re seeing leaders model new behaviors, and employees follow, but it’s uneven,” said Dr. Maria Chen, director of workforce strategy at a regional university who advises small and midsize firms. “If companies invest in practical training and change performance measures, they’ll unlock far more of AI’s value than by just buying more apps.”

First, expect formal AI instruction to move into orientation and ongoing training routines. Employers are beginning to treat AI skills the way they treat security or compliance: mandatory, measurable and revisited regularly. Practical sessions will cover prompt design, data privacy basics and how to interpret model outputs — not to replace human judgment, but to shift people toward higher-value assignments. Local training providers and community colleges are already reporting growing demand from employers wanting bite-size, job-specific courses.

Second, staff will increasingly regard AI as a collaborator rather than a neutral instrument. As familiarity grows, these systems will shoulder repetitive work and operate as a drafting partner, freeing employees to focus on strategy and relationship-building. That’s already showing up in teams that reassign routine reporting tasks to tools, then use freed time for customer outreach or product refinement. Managers who use AI to analyze team workloads and market signals — roughly 14 out of 25 do so now — are the ones reporting measurable productivity gains.

Third, businesses will balance hiring specialists with upskilling current workers. Rather than rely solely on expensive new hires, many organizations will cultivate in-house expertise by reskilling staff and creating hybrid roles that mix domain knowledge with AI fluency. “Smart companies will treat AI competency as a core job qualification and provide pathways for existing staff to grow into those expectations,” said James Ortega, a consultant who helps regional retailers and manufacturers adopt technology.

Local leaders face trade-offs: without training and governance, AI can entrench shortcuts and create uneven outcomes; with a solid program, it can redistribute work toward judgment and creativity. The firms that succeed will be the ones that make AI a shared capability — taught, measured and woven into everyday workflows — rather than a set of features tucked away for specialists.