Zeer
TheAiExpert.aiTheAiExpert.ai
Buying intent
10 tracked signals | Top 7 topics are below.
Attention by team
LinkedIn activity, by teamWhere TheAiExpert.ai's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.
Topics being researched
30-day windowEvery tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who's active at TheAiExpert.ai
verified title on fileTitles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.
Top accounts researching TheAiExpert.ai
names withheld on the public pageThese are companies whose own people brought up TheAiExpert.ai unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.
151,426 companies · 839,012 people are researching Artificial Intelligence
TheAiExpert.ai's own team shows 4 signals on this topic. No one outside TheAiExpert.ai has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.
- Product Management6,315 cos · 21,212 people
- Cyber Security13,881 cos · 59,676 people
Buyer profile
company size · seniorityCompany size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.
Buying committee functions
Employee job titles (LinkedIn)Leadership — 1 person
What's been said
public posts mentioning TheAiExpert.aiUp to 9 public excerpts naming TheAiExpert.ai from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.
A CEO asked me this week: "are we doing AI well?" It's the wrong question. And the answer is hiding in two numbers most people are reading as a contradiction. J.P. Morgan : $19.8bn AI budget, 2,000 staff, AI reclassified from R&D to core infrastructure. WRITER 's 2026 enterprise survey: 79% of organisations struggling with AI adoption. Only 23% seeing ROI from the agents they've already deployed. Those numbers describe the same gap from opposite ends. They aren't contradictory. They're the distribution. JPMorgan didn't buy AI. They rebuilt around it. Proprietary data infrastructure, internal model stack, governance, accountability, retrained staff. A multi-year programme funded like a capital project, not a SaaS line item. Most of the 79% are doing something quite different. Tools licensed, pilots running, board briefings polished. The underlying work hasn't changed, so the ROI doesn't show up. 97% of executives say their company has deployed agents. 23% see returns. That's a capability and design problem dressed up as a technology problem. So the better question isn't "are we doing AI well?". It's "are we structured to capture value from AI once we invest?" If the answer is no, more spend will not fix it. This is the gap I spend most of my weeks working inside. #AI #AIStrategy #FractionalCAIO https://theaiexpert.ai
May 2026