Dive Brief:
- AI adoption depends more on workforce strategy than on finding better tools, according to a survey of almost 12,000 workers published last week by Boston Consulting Group. Roughly half of respondents reported a shift to managing and directing AI instead of doing the work itself, marking a fundamental transformation in how tasks gets done, the consulting firm said.
- AI adoption has expanded beyond executives to everyday workers. Nearly three-quarters of frontline employees across sectors such as technology, finance and retail are regular AI users, up 23 percentage points from 2025, per the report. Yet, many respondents face what BCG calls a “Joy Paradox” — more than two-thirds of AI users reported improved job satisfaction, but 41% grappled with burdensome AI oversight responsibility.
- Generative and agentic AI tools have made work better and harder, David Martin, global lead of people and organization at BCG, told Channel Dive. “What you're left with are fewer menial tasks and more of the things that really push your thinking,” he said. “This can be more intellectually stimulating, which is joyful, but then the amount of time, effort and critical thinking that goes into evaluating the work that the agents do takes up your cognitive load."
Dive Insight:
AI innovation is marching on, largely detached from the lived reality of using the technology.
The disconnect is inevitable, according to Martin. “This is the first time we are creating something that can improve itself,” he said.
As access to AI tools spreads, the trade offs between efficiency gains and the strain of AI custody will also grow, potentially impacting the value of AI adoption for many businesses.
It’s essential for companies to manage employee cognitive load, using strategies such as limiting the number of agents under an employee or tracking token usage.
“There’s two ways unmanaged AI adoption can play out,” Martin said. “One is you overwhelm a person with so much additional mental capacity that they burn out, and you see all the joy dip. The other is that critical thinking goes down. When an employee is onto managing its fourth agent, there are massively diminishing returns and people just start to absolve themselves from the responsibility of what it spits out.”
Companies also need to focus on AI management practices, provide workforce training and outline strategies for capturing efficiency gains.
According to the report, 42% of frontline employees who regularly use AI save a full workday or more per week. However, there's a critical gap: 66% receive limited or no guidance on what to do with this saved time, and more than half don't redirect it to strategic work.
The problem extends beyond time management. Just 36% of respondents feel properly trained to use AI, despite 88% believing they need major upskilling in the next five years. Meanwhile, only one-third of frontline employees say leadership communicates clearly about AI strategy.
For B2B businesses and the channel, properly managed AI should unlock growth, lower barriers to market entry, boost engineering productivity and improve personalization and market tracking for B2B sales.
While engineers deal with the technical challenge of scaling AI, organizations have to confront the broader challenges inherent in a technology that is rewriting job descriptions.
