AI-related job postings at banks such as JPMorgan Chase, Citigroup and Capital One rose 49% this year to 139,819, according to Draup. Most of the growth is in staff who connect teams of AI agents to business lines and staff who keep those agents in check.
Perspective Coverage
3 publishers
- Builder
- Builder 25%
- Operator
- Operator 43%
- Investor
- Investor 32%
Reality
- Evidence40
- Adoption30
- Hype gap+35
- Incentives60
- Confidence45
buildOne report1 publisher In one RAG security guide, the adversarial ranking example clears all four sanitizer patterns
A dev.to walkthrough of RAG knowledge injection ships a four-regex document sanitizer as its first line of defense. Its own sample attack chunk matches none of the four, which leaves provenance filtering to carry the boundary.
Reality
- Evidence57
- Adoption
- Not scored
- Hype gap+42
- Incentives28
- Confidence63
buildOne report1 publisher RAC audits each atomic fact against retrieval after the model has already answered
The paper reports up to 30% factuality gains over prior baselines with no fine-tuning, though its own introduction concedes that RAG with Google search had already cleared those baselines by more than ten points.
Reality
- Evidence28
- Adoption
- Not scored
- Hype gap+34
- Incentives68
- Confidence44
buildOne report1 publisher Three hops separate the customer's question from the rule that changes the answer
Salesforce's Agentforce team argues that a correctly cited answer can still be wrong because the deciding fact lives in another system. That locates the fix in the graph schema itself; resizing chunks won't touch it.
Reality
- Evidence44
- Adoption
- Not scored
- Hype gap+12
- Incentives72
- Confidence58
buildOne report1 publisher Chunking a corpus that already has block addresses just adds a redundant identity layer
The author of Doco argues that browse, search, cite and safe-edit operations over a maintained corpus do most of the work teams expect from embeddings, and that the pipeline adds a copy which drifts from the source.
Reality
- Evidence40
- Adoption
- Not scored
- Hype gap+12
- Incentives68
- Confidence52
Revenue cycle AI buys faster cash with higher audit risk
Practitioners on the Forbes Technology Council put billing and coding at the top of both the payback list and the risk list, and most of their prescriptions land on retrieval and retention rather than on a human reviewer.
Reality
- Evidence22
- Adoption
- Not scored
- Hype gap+14
- Incentives74
- Confidence41
buildOne report1 publisher Move execution authority out of the model and into the tool boundary
A dev.to design note inserts code gates and a human approval between the model and the tool, which is the right shape, though a policy layer that reads a severity field the model itself wrote has not moved the authority anywhere.
Reality
- Evidence30
- Adoption
- Not scored
- Hype gap+22
- Incentives20
- Confidence45
buildOne report1 publisher Logs behind a fluent RAG demo showed the correct chunk arriving 30% of the time
A generator writes with equal confidence whether its context is right or wrong, so the only readout that separates the layers is a labelled eval set you own, scored on the retrieval side before an answer exists.
Reality
- Evidence42
- Adoption
- Not scored
- Hype gap+18
- Incentives32
- Confidence55
Uber's security experts withheld the Slack channels until Genie's retrieval improved
A configurable framework let Uber stand up an LLM Slack bot overnight, but a hand-written set of more than 100 questions from its own subject-matter experts decided whether that bot went near the security channels.
Reality
- Evidence46
- Adoption34
- Hype gap+28
- Incentives68
- Confidence52
Ng's four AI skills came from 10,000 job reqs. The fight is over the fifth
The list reads like an engineering syllabus because it was built from engineering postings. What the critics add is the part that only surfaces after launch.
Reality
- Evidence38
- Adoption
- Not scored
- Hype gap+22
- Incentives62
- Confidence44
Alert correlation is not diagnosis, and your postmortems are the ceiling on the difference
A devops.com piece sets three tests for AI incident tools: causal reasoning, current dependency data, and a willingness to say it is not sure. The training corpus is your own postmortems.
Reality
- Evidence26
- Adoption
- Not scored
- Hype gap+12
- Incentives32
- Confidence38
buildOne report1 publisher RAG prototypes work because a human picked the files. The drive does not come pre-curated
A builder of voice intake systems argues the model is the least interesting part of a knowledge base, and that the first deliverable is a list saying which document governs each topic.
Reality
- Evidence27
- Adoption18
- Hype gap−9
- Incentives62
- Confidence41
buildOne report1 publisher Persisted citations make conversation history a second read path into the corpus
A copilot that stores the source cards behind each answer has quietly built a read path its search guards never see. One developer's fix re-checks entitlements in the service at replay time.
Reality
- Evidence45
- Adoption12
- Hype gap+8
- Incentives25
- Confidence52
buildOne report1 publisher Anthropic's /eli5 skill: two lines of instruction, one HTML file, no room for precision
A Claude Code skill that Anthropic staff reportedly use internally emits a single standalone HTML explainer built from big pictures and few words. The constraint is the product, and also the ceiling.
Reality
- Evidence56
- Adoption24
- Hype gap+24
- Incentives44
- Confidence48
buildOne report1 publisher Debug the index before you swap the model: the RAG checklist works, the 73% does not
A dev.to postmortem argues most RAG failures happen in retrieval. The debugging order it recommends survives scrutiny. The headline percentage it leans on does not.
Reality
- Evidence26
- Adoption
- Not scored
- Hype gap+38
- Incentives30
- Confidence48
buildOne report1 publisher A million 'AI slop' reports in two weeks, and not one of them measures accuracy
LinkedIn's new report button collects human quality judgements at scale. Detectors and watermarks answer only who wrote a page, which leaves retrieval pipelines to score corroboration themselves.
Reality
- Evidence42
- Adoption55
- Hype gap+8
- Incentives58
- Confidence44
buildOne report1 publisher Six weeks of agent-run ops: the failures were plumbing, not the model
A developer's LangGraph experiment broke on stale state and a prompt that told one agent to please another. Both fixes are engineering controls, and both cost something.
Reality
- Evidence26
- Adoption9
- Hype gap+22
- Incentives34
- Confidence41
buildOne report1 publisher The chunker sets the ceiling: how a character boundary turns a correct policy into a wrong answer
A worked example from a dev.to post shows a fixed-size split severing "unless defective" from a refund rule. Retrieval still ranks the mutilated chunk first, and no component reports a fault.
Reality
- Evidence32
- Adoption
- Not scored
- Hype gap+18
- Incentives
- Not scored
- Confidence44
buildOne report1 publisher The fine-tune that kept promising refunds: freshness is the bug no eval catches
A consultant baked a shipping policy into a 7B model's weights in January. The policy changed in March. The first thing to notice was a customer holding a refund window that no longer existed.
Reality
- Evidence26
- Adoption
- Not scored
- Hype gap+18
- Incentives62
- Confidence44
buildOne report1 publisher Open Knowledge Format: when the fact already has a name, the chunker is the bug
Google Cloud's OKF, published 12 June 2026, stores concepts as markdown files addressed by path. The claim worth testing: chunking a definition you already agreed on throws away its dependencies.
Reality
- Evidence32
- Adoption18
- Hype gap+34
- Incentives58
- Confidence40