A recent report from Slack reveals that daily use of artificial intelligence among desk workers has surged by 233% since November, with 60% of these workers now regularly utilizing AI tools. This integration has led to significant boosts in productivity and job satisfaction, with users reporting 64% higher productivity and 81% greater job satisfaction compared to their non-AI-using peers. The survey, which involved over 5,000 respondents, highlights that 96% of AI users employed the technology for tasks they could not have completed on their own, illustrating a trend called “vibecoding.” However, the report also notes that only 14% of employees in small businesses use AI daily, mainly due to a lack of clear guidelines and support for AI adoption.
A recent study from Upwork reveals a troubling connection between heavy use of artificial intelligence tools and increased burnout among workers. Based on a survey of 2,500 employees across various sectors, those most engaged with AI tools are 88% more likely to experience burnout and twice as likely to consider quitting compared to their peers who use these technologies less often. While 88% of freelancers reported that AI has positively affected their careers, the overall findings indicate a shift in workplace dynamics. Ninety percent of respondents see AI as a coworker rather than just a tool. However, this dependence on AI seems to weaken the sense of psychological safety and connection within teams, contributing to higher burnout rates, as the report notes. The findings echo previous research from Harvard Business Review, which highlighted that generative AI can boost productivity while reducing the sense of purpose in work.
Shadow artificial intelligence is quickly expanding in companies as employees increasingly use their own AI tools, surpassing the ability of IT teams to evaluate these applications for risks. According to a report from ManageEngine, over 80% of technology leaders say that the adoption of these tools is outpacing their teams’ capacity to ensure safety, with 60% of workers admitting to increased use of unauthorized AI resources compared to the previous year. The report emphasizes that nearly two-thirds of decision-makers see data leakage as the main risk connected to shadow AI. Additionally, one-third of employees have entered confidential client information into unapproved AI platforms, raising major cybersecurity concerns. Despite AI’s rapid integration into business operations, almost half of companies still lack clear governance policies, and 60% of employees are requesting more training on AI usage risks.
A recent survey by Akkodis shows that confidence in artificial intelligence initiatives among C-suite executives is falling, even as investments in the technology continue to grow. The study found that only 58 percent of executives now trust their company’s AI strategies, down from 69 percent just a year earlier. Specifically, the confidence of Chief Executive Officers dropped sharply from 82 percent to 49 percent, while Chief Technology Officers’ trust in their AI efforts declined from 82 percent to 62 percent. Despite this trend, Chief Human Resource Officers and Chief Operating Officers reported increased confidence in AI projects, reflecting a focus on internal execution and workforce preparation. The report also points out a worrying skills gap, noting that only 55 percent of Chief Technology Officers believe their executive teams have enough AI knowledge to understand its risks and opportunities.
Why do we care?
Everyone’s using AI, but it’s burning them out, and a lot of it is unknown to organizations, while the C-Suite is growing less confident. This is all going very well.
Clients are excited by AI’s promise but are quickly getting overwhelmed by its reality: security blind spots, cultural blowback, and leadership doubt. SMBs aren’t avoiding AI because of disinterest—they’re held back by uncertainty and governance gaps.
The smart move isn’t to sell “AI tools” but to build AI enablement and governance services:
- AI readiness assessments.
- Shadow AI discovery and remediation.
- Policy and training programs to manage human impact.
- Ongoing security monitoring for AI data risks.
Position yourself as the AI Shepherd, not just the installer. Clients don’t just need technology—they need a partner who helps them adopt AI safely, sustainably, and strategically.