AI is taking up more of the workweek.
76.5% report 5+ hours per week with AI for work, and 55.7% report 10+ hours. For this audience, AI is becoming a regular work surface rather than an occasional assist.
Respondent Preview / April 2026
April shows AI moving from tool use into work ownership.
Among AIDB's AI-forward audience, the April signal is operational: AI is not just making known tasks faster, it is taking up more of the work surface and helping people attempt more consequential work.
April Findings
Opportunity AI is becoming operational.
April shows the post-adoption pattern settling into work: AI is a larger work surface, delegated use is a majority behavior, and the strongest blockers are capacity, skill, access, and organizational friction rather than belief.
Responses485
10+ hours/week55.7%
Automated or agentic66.4%
New capabilities28.9%
Delegation is now mainstream inside the cohort.
66.4% used automated or agentic workflows in April. Separately, 55.9% say they have used OpenClaw, Claude Code, Codex, or another tool to build agents.
The value story is capability, not just speed.
Output/throughput leads at 41.4%, but new capabilities are close behind at 28.9%; time saving is only 10.5%.
Highest-leverage use is tilting toward strategy.
Strategic planning is selected as highest-value by 14.2% while only 7.0% call it their most common use case, a +7.2 point leverage gap.
The bottlenecks are operational.
The low-value objection is nearly absent. The real constraints are time to learn, skill gaps, policy barriers, and tool access.
The Value Read
Speed is useful. Capability is the deeper tell.
Throughput is still the biggest named benefit, but time saving is a relatively small slice of the story. April's more durable signal is that respondents are using AI to expand what they can attempt.
Most common
Highest value
Delta
Leverage Gap
Strategic planning is the standout.
Strategic planning has the largest positive gap between common use and highest-value use. That matters because it points away from simple task acceleration and toward judgment-heavy work.
Strategic planning
+7.2pp
Creative & design
+2.7pp
Brainstorming & ideation
+0.4pp
Administrative tasks
+0.4pp
Operational Reality
Belief is not the bottleneck.
Only 0.2% say they do not see enough value. The constraints that remain are learning time, skill, policy, and tool access: the practical machinery of making AI useful at work.
Coding / app building
48.4%
Agents / automation / workflows
25.6%
Other / unclear
21.9%
Strategy / product / business
17.7%
Data / spreadsheets / analytics
16.7%
Research / synthesis
14.9%
Multimodal / creative media
13.0%
Learning / coaching
10.7%
Methodology
Source and caveats
- April 2026 AIDB AI Pulse export dated May 21, 2026. Response count: 485.
- AIDB Pulse surveys an AI-forward audience of daily AI podcast listeners, so results should be read as a post-adoption signal rather than a general-market benchmark.
- This preview analyzes April independently rather than treating it as part of a public month-to-month trend page.
- Open-text themes are directional keyword classifications; optional responses are aggregated here rather than quoted directly.