- Many workers still can’t get to grips with AI at work, and disconnection from leaders doesn’t help
- Mitel reveals 71% used unapproved communications tools for business purposes
- And 71% of workers say they feel pressured to “make it work” with tools that aren’t designed for their needs.
Workers are struggling to understand how to best use AI tools for their daily tasks due to a growing divide between employers and their employees, according to a new study.
A new study from Mitel finds that AI tools often don’t match how employees actually work, leading to widespread frustration.
This leads many workers to use their own familiar tools outside of work, potentially exposing their organization to security threats and other risks.
AI Showdown
The study found that 71% of workers admit to using unapproved communications tools for business purposes, increasing the risk of data exposure, compliance violations, cybersecurity threats, and loss of visibility and control.
A similar proportion (71%) reported feeling pressured to just “make it work” with tools not designed for their needs, demonstrating senior management’s apparent disconnect or disinterest.
Overall, while just over half (51%) of workers say they use AI tools regularly, only 37% say they feel very comfortable using them in their daily work – and 70% say they feel their organization does not sufficiently support the use of AI.
“Organizations are making significant investments in AI, communications infrastructure and modernization,” said Eric Hanson, chief marketing officer at Mitel. “Yet more than half of employees say these tools don’t work when it matters most.
“The challenge is not a lack of technology, but a lack of alignment with the realities of work. In fast-paced, high-pressure and increasingly mobile environments, communication must be immediate, reliable and context-specific – otherwise it risks breaking down precisely when it is needed most.”
“Closing the experience gap is now critical to regaining control and ensuring communications investments translate into real-world performance and impact. »
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