Writers Rework Roles as AI Goes Viral — Productivity Up, Unease Lingers
61% of professional writers now use AI, with many treating it as a co-pilot—boosting productivity while sparking concerns over voice, trust and responsibility.
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61% of professional writers now use AI, with many treating it as a co-pilot—boosting productivity while sparking concerns over voice, trust and responsibility.
'New MIT study shows that while AI capabilities have surged, most organizations lack the data practices needed to turn those advances into business results, with only 2% reporting high AI performance.'
'After alarming headlines about GPT-5 and failing pilots, companies rarely admit to scaling back AI spending; here are possible reasons why.'
'AI agents and easier-to-use AI tools are moving projects from pilots into production, accelerating workflows and freeing employees for higher-value tasks while raising governance and cost challenges.'
Many AI pilots fail not because of the technology but due to weak operational processes; companies must invest in documentation, collaboration tools, and change management to turn AI experiments into measurable business impact.
'Enterprises face urgent pressure to adopt AI or risk falling behind; success depends on compute, network, data quality, observability, and talent.'
Agentic AI is revolutionizing enterprise software by enabling autonomous agents to perform complex tasks and workflows, driving efficiency and competitive advantage. Adoption is rapidly growing, making it essential for businesses to adapt now.
Only a small percentage of employees receive AI training despite growing executive enthusiasm. Effective upskilling and cross-skilling programs are essential to build confidence and ensure AI enhances rather than replaces human work.
Cisco's latest report reveals how agentic AI is revolutionizing B2B customer experience through autonomous decision-making, predictive capabilities, and ethical governance.
Most AI projects fail due to poor planning, overambitious goals, and lack of user adoption. Strategic planning and change management can turn AI investments into success stories.
Explore how marketers can build a strategic AI roadmap to ensure successful AI adoption, avoid common pitfalls, and drive meaningful business value.
SimilarWeb’s 2025 AI Global Report reveals a 75% surge in AI coding tools, disruptions in EdTech by LLMs, and a significant decline in Legal AI usage, highlighting shifting trends in generative AI adoption.
Investment firms face multiple challenges implementing AI, from data quality issues to resistance within organizational culture. Addressing these obstacles is essential for harnessing AI's transformative potential.
OpenAI has published a comprehensive guide outlining pragmatic strategies for enterprise AI adoption, highlighting real-world lessons from collaborations with major companies.
Ravi Bommakanti, CTO of App Orchid, shares insights on agentic AI, semantic layers, and how their Easy Answers platform transforms enterprise data into actionable intelligence.
Private AI is redefining enterprise AI by bringing compute to data, enabling secure, compliant, and efficient AI workloads that fuel innovation across industries.
Explore how leaders can successfully guide their teams through the transition to Agentic AI by fostering clear communication, comprehensive training, and engaging adoption strategies.
Discover how conversational AI is transforming industries and learn strategic approaches for executives to leverage this technology effectively today and into the future.
'Google Cloud has unveiled a comprehensive list of 601 generative AI use cases across various industries, highlighting the technology's rapid transition from prototypes to impactful production applications.'