SHRM's June Tech Download: Meta Backtracks on AI Monitoring, Microsoft Pilots Wearable Office Devices
The News
SHRM's June 2026 Technology Download, curated by editor Eric House, highlights three developments with direct implications for how HR and TA teams think about employee data, technology investment, and the future of work. The first: Meta has reduced elements of its plan to collect employee mouse movements, clicks, and keystrokes for AI training after significant internal pushback. Reuters reported that Meta introduced a 30-minute pause option and exemption requests following complaints about privacy, battery drain, and bandwidth usage.
Second, new research cited by SHRM reveals that slow, unreliable workplace technology costs a 2,000-person company nearly $4 million annually. Eighty-five per cent of desk workers face daily slowdowns, with many turning to quiet workarounds rather than reporting issues to IT — an early signal of disengagement that HR is well positioned to detect and address.
Third, Microsoft is piloting two AI-enabled devices — a 'desktop cube' and a 'wearable access badge' with a camera and biometric activation — designed to interact with autonomous AI agents across Microsoft software. A few hundred employees are currently testing the prototypes, with no timeline for broader release.
Why It Matters
For TA leaders, this monthly roundup carries three practical lessons. The Meta story is a cautionary tale about deploying AI tools without adequate employee consent and transparency — a lesson that applies directly to AI-powered candidate assessment and video interview analysis, where privacy concerns are equally acute. The workplace technology cost data is a powerful argument for investing in a modern, integrated tech stack: if slow tools cost $4 million annually in a 2,000-person company, the ROI case for a new ATS or CRM is much easier to make.
The Microsoft wearable AI story, while early stage, points to a future where job design and candidate expectations will shift. If wearable AI assistants become a fixture in deskless and frontline roles, TA teams will need to assess whether candidates have the digital literacy to work alongside autonomous agents, and whether job descriptions need to be rewritten to reflect human-plus-AI working models.
Taking Action
All action is situated in your corporate context. These are starting points, not prescriptions — choose what fits.
Connect
Who to talk with in your enterprise
Your head of HR technology — use the $4 million workplace productivity cost figure from SHRM's roundup in your next business case for HR technology investment. A modern, integrated system that eliminates daily slowdowns pays for itself in productivity gains alone.
Your data privacy / employee relations lead — the Meta backtracking story is a useful discussion starter. Ask whether your organisation has clear policies around how employee data (including candidate data in your ATS) is used to train AI models, and whether those policies are transparent to employees and candidates.
Inspect
What to take a closer look at
Survey your TA team on how many daily 'slowdowns' they experience with your current ATS, CRM, or assessment platforms — unreported friction is a leading indicator of both productivity loss and turnover risk. Specific tool to look at: your IT helpdesk ticketing system — filter tickets by HR technology category and look for patterns of repeated issues that suggest chronic system problems rather than one-off incidents.
Reflect
What to think about more deeply
The most interesting question isn't whether wearable AI devices will enter the workplace — it's whether the HR function is prepared to write the rules of engagement before the technology arrives. If Microsoft's desktop cube and wearable badge are the shape of things to come, who in your organisation is thinking about the privacy, compliance, and job-design implications right now, rather than reacting after deployment?