Observed Signal · Jul 8, 2026 · Survey / Research Report · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Neutral
84% Prioritize AI — Employees Lose One Day Weekly
A Nitro research report based on a survey of more than 1,300 enterprise leaders finds a gap between executive AI ambition and on-the-ground productivity gains. While 85% of executives say AI has been deployed across some or all of their organizations, managers report slower adoption and persistent manual document work: 84% of executives estimate employees spend six or more hours weekly on manual document tasks and 41% estimate 11–15 hours. The study finds widespread tool sprawl (72% use six or more document tools) and that only 12% of organizations have achieved end-to-end workflow automation. Security and trust remain leading barriers (cited by ~49% of executives and 54% of managers), and many organizations still rely on print-sign-scan processes for some documents. Nitro positions its Nitro Automate solution as a targeted document automation answer to these gaps.
Market research highlights a meaningful gap between AI deployment and operational impact in document workflows; relevant to MarTech and enterprise document automation vendors but not industry-shifting.
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Key Takeaways & Evidence Grounding
- Nitro surveyed more than 1,300 enterprise leaders for “The State of AI in Document Workflows.”
- 85% of executives report AI has been deployed across some or all of their organization; only 54% of managers rate AI as a high priority.
- 84% of executives estimate the typical employee spends six or more hours per week on manual document tasks; 41% estimate 11–15 hours.
- 96% of organizations still require print-sign-scan workflows for at least some documents.
- Only 12% of respondents have achieved end-to-end workflow automation; 37% say their primary AI usage is standalone (copy/paste between general-purpose AI and document stacks).
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AI in IT: 89% report productivity gains, but disparities persist
A new survey by Snowflake, involving 200 data and IT professionals from companies with over 500 employees, including 150 from Germany, reveals that 85% of respondents use AI daily. 89% report increased productivity and 87% say AI saves time rather than creating extra work. However, the benefits are uneven: 68% of executives feel a noticeable relief, compared to only 55% of non-managerial staff. Conversely, 20% of individual contributors say AI has increased their daily workload, versus 11% of executives. Looking ahead, 89% believe AI will further improve their company's working methods in the next two years. Snowflake's Germany Country Manager, Jonah Rosenboom, emphasizes that merely introducing AI tools is insufficient; companies must address foundational systems to fully realize AI's benefits.
Survey: Execs Say AI Lowers Value of Human Employees
A Globalization Partners (G-P) survey of 2,850 executives across six major markets (including the US, France and Germany) finds that 82% believe AI has reduced the value they ascribe to human employees. The AI-at-Work Report 2026 also reports underwhelming ROI: 73% said some recent AI investments fell short of expectations, and nearly 70% of executives are prepared to cut AI budgets in 2026 if targets are not met. Leaders worry about misleading productivity signals—88% fear employees use AI to pretend productivity, and 47% are very or extremely concerned this is already happening. Additionally, 69% say staff spend more time monitoring, evaluating or reworking AI outputs, which may negate promised efficiency gains. G-P’s Pete A. Tiliakos emphasizes the need for expertise, governance and operational discipline to translate AI into business outcomes.
AI Productivity Paradox: Leaders Doubt ROI, May Cut Budgets
A G‑P (Globalization Partners) AI-at-Work-Report 2026 survey of 2,850 executives across six markets (including the USA, France and Germany) finds rising scepticism about enterprise AI's productivity benefits. 82% of surveyed leaders say AI has reduced the value they place on human employees. Many respondents report no measurable productivity or employment impact from AI in recent years, and a large share fear employees may use AI to feign productivity. Nearly 70% say they are willing to cut AI budgets if 2026 goals are not met. The report also notes increased employee time spent supervising, evaluating or reworking AI outputs, which may erase expected efficiency gains.
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