Zeer
Scry AIScry AI buying intent
11 tracked signals — top 7 topics below — Engineering and Operations are carrying most of it.
Attention by team
taxonomy_intent_rollup × social_profile.roleEvery tracked signal from a Scry AI employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.
Topics being researched
30-day windowAll tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.
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We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who to contact at Scry AI
verified title on filePeople at Scry AI whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.
Top accounts researching Scry AI
names withheld on the public pageCompanies whose people mention Scry AI in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.
No buyer signal yet for this account
Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.
Buyer profile
company size · seniorityHow big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.
What's been said
public posts mentioning Scry AIReal public activity that surfaced Scry AI in a tracked topic. Not a sentiment score — just what people actually wrote.
AI JOB LOSSES - ILLUSION OR NOT? Approximately 163 million people are currently employed in the U.S., and the unemployment rate is ~4%. The Guardian estimated that in 2025, around 165,000 jobs were lost to AI. This loss is around 0.1% of the U.S. workforce and usually these many net new jobs are created every two months. Analysis by Yale Budget Lab and MIT suggests firms are increasingly labeling restructuring decisions under AI to rationalize over-hiring corrections, lagging consumer demand, rising costs, and margin pressure. And many experts are calling this “AI Washing”. Most “AI layoffs” are also aligning with rising AI investment. Instead of a swap of humans with AI software, there is a massive shift in how corporate capital is being deployed. Notably, companies are trimming to pay bills for electronic infrastructure, electricity and cooling. For example, · Amazon severed about 16,000 roles, which were largely linked to reducing management layers and correcting earlier hiring expansion. · Microsoft reduced 3% of its workforce, impacting around 6,000 roles, while committing over $13 billion to OpenAI. · Oracle is cutting around 30,000 roles but investing $50 billion in AI infrastructure. Hence, the "AI Replacement" narrative seems premature. The immediate threat is less about algorithms replacing the payroll department and more about financing the astronomical cost of NVIDIA and related infrastructure. Apparently, the “current experiment” is likely to continue at least for now. Whereas AI managers are rooting for AI to replace human jobs, economists are sounding caution. So, there will be more job losses, which will result in unexpected consequences from over-reliance on AI. Next, there would be a scramble to get the house back in order, which would eventually lead to a different model of work. Only the next five years will tell how it will all turn out. If your industry is witnessing “real AI layoffs" or just "AI Washing", please discuss this below. #AI #FutureOfWork #TechTrends2026 #Microsoft #Oracle #BusinessStrategy #CareerGrowth