What the coming year will mean for the AI-employee relationship
In 2026, AI will stop being just another system on the tech stack and start behaving more like a colleague, predicts Arnnon Geshuri, chief people officer at Snowflake.
For HR leaders, that shift changes everything: how people are hired, developed, supported and measured – and how HR teams spend their own time.
AI as the always‑on ‘ride‑along’ expert
In 2026, employees won’t just use AI occasionally; they’ll work alongside it every day, said Geshuri.
Think less chatbot in a corner of the intranet and more hyper‑personalised co‑pilot that understands each employee’s role, context and goals.
Traditional HR tech has promised self‑service for years, but the experience has often been clunky.
The AI “ride‑along” changes that by:
- Interpreting context: Knowing who the employee is, their role, location, tenure and current workload
- Tailoring responses: Providing answers and actions that are specific to that person, not just generic policy excerpts
- Proactively assisting: Surfacing nudges, reminders and learning content before the employee goes searching
For HR, this will feel like having a digital team of specialists sitting alongside employees, handling routine queries and transactions at scale.
Reinventing the employee lifecycle
Every stage of the employee journey stands to be reshaped.
Onboarding:
- New hires can ask natural‑language questions about benefits, policies, tools and team norms – and get instant, context‑aware answers
- AI can personalise onboarding pathways, adjusting content and pacing based on role, experience level and how quickly the new hire is progressing
- Managers receive tailored prompts on how to integrate each new hire effectively, based on their profile and learning style
Learning and development:
- Learning content becomes adaptive: AI adjusts recommendations in real time based on performance, interests and career aspirations
- Employees can treat AI as an on‑demand coach – from “help me prepare for this stakeholder meeting” to “explain this new regulation in plain language”
- Skills data from multiple systems (L&D platforms, performance reviews, project tools) can be unified to show a living, evolving picture of workforce capability
Recruitment and mobility:
- Candidates interact with AI that can answer detailed questions about roles, growth paths and culture
- Recruiters use AI to screen for skills, identify non‑obvious talent pools and personalise outreach at scale
- Internally, AI can suggest stretch assignments, gigs and role moves based on skills, interests and business needs
Policy and people support:
- Instead of digging through PDFs or pinging HR, employees can ask, “What’s our parental leave policy in my location?” or “Can I work from overseas for two weeks?” and receive precise, compliant answers
- Repetitive, low‑value traffic into HR mailboxes is dramatically reduced as AI handles the bulk of standard questions
What this unlocks for HR
As AI takes over routine, transactional work, HR’s role becomes more intentionally strategic.
This allows for more time with business leaders on workforce strategy and organisation design, a deeper focus on culture, leadership, DEI and change management, and greater capacity to experiment, measure and refine people programs.
The key challenge is not whether AI can do this, but whether HR is ready to design, govern and continually improve these ride‑along experiences in a way that is ethical, transparent and trusted.
The rise of “human‑machine teaming”
Alongside the ride‑along expert comes a more profound shift: AI capability becoming a core performance differentiator.
In 2026, Geshuri believes high performers will increasingly be those who know how to get the best from AI – not just those who can work hard without it.
This is already being witnessed with the rise of the “AI‑native” employee.
This doesn’t necessarily mean data scientists or engineers. It means people who see AI as a partner, not a threat or gadget.
These employees can quickly adopt new tools, test them and integrate them into their daily workflows and they understand enough about how AI works to use it responsibly and effectively
An AI‑native employee knows when to ask, how to ask, and when not to trust the answer.
The evolution of this will move from AI expertise from niche to baseline literacy, on par with digital and data fluency. HR will be expected to help the organisation develop layers of capability.
These skills will not be “nice to have”. They will increasingly show up in job descriptions, interview questions and performance criteria.
2026 is not far away and HR should prepare for an era of AI ride‑alongs and human‑machine teams.
In the coming year, AI will not replace HR – but HR that fails to harness AI will struggle to keep pace.
The future belongs to people teams that leverage a partnership with AI and do their best work, together.
