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AI training for market intelligence analysts: from question to conclusion
Short answer
AI training for market analysts teaches them to trace the primary study, check whom the data describe and write a brief that answers the reader's question. The key exercise is catching a draft that counts two articles about one study as two independent sources. At Syntalith team training costs from €1,150 net a day. With 6 people each saving 1.5 hours a week, it pays back in 0.9 months after licence costs.
- net per day of closed training for the team
- from €1,150
- people in one training group
- up to 15
- after this time, we measure the effect on the same tasks
- 30 days
We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓
Author: Syntalith · 3 min read
Statistics
Market analysis and AI: statistics 2026
0.9 mo.
payback of a €1,150 training at 6 people saving 1.5 hours a week each: €1,360 of time regained, €107 of licences a month. Scenario.
25.1%
According to a Harvard Business School study (2023) of 758 consultants, tasks within the model's capabilities were done 25.1% faster with AI.
40%
According to a study published in Science (2023), ChatGPT cut the time 453 professionals spent on writing tasks by 40%.
Source: Noy and Zhang, Science (2023) ↗
20.0%
According to Eurostat (2025), 20.0% of EU companies with at least 10 employees used AI.
Source: Eurostat, 20% of EU enterprises use AI technologies (2025) ↗
34.7%
According to Eurostat (2025), 34.7% of EU enterprises that used AI used it for marketing or sales.
Figures checked: 22 October 2026
Two articles, one study
A company is weighing an offer for micro-businesses, and an analyst gathers information on how small companies use technology. The two articles found both point to the same survey of companies with at least ten employees. The draft prepared with AI presents them as independent confirmations and draws a strong conclusion about the micro-business market.
The corrected brief links both articles to one primary study and names the group it covers. The results stay as context for the offer, and the question about micro-businesses needs separate data. Eurostat's metadata on ICT usage in enterprises sets the core scope of the survey as companies with at least ten employees, which makes it good material for the exercise.
- 01Questionnarrowed to the reader's decision
- 02Sourcethe primary study in place of an article about it
- 03Groupwhom the data describe and for which period
- 04Briefthe conclusion with a reference and its scope
- 05Gapthe question about missing data at the end
- Every conclusion points to the primary study
- Articles about the same study counted once
- The group surveyed named beside the figure
- The summary keeps the scope of the claim
What it costs and when it pays back
- Time saved
- 6 people × 1.5 h a week × 4.33 = 39.0 h
- Value of that time
- €1,360
- Licences
- $120 (€107)
- Left after licences
- €1,253 a month
Payback of a €1,150 training
0.9 months
The hours saved are the scenario's assumption, which we check by timing the tasks before the training and after 30 days. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Claude Team licences at $20 per person a month, at the ECB rate of 1.1205 USD per euro on 22 October 2026.
We measure the hours in the scenario before the training and after 30 days, on the same team tasks. If after a month checking AI texts takes as long as writing from scratch, we change the exercises or the scope of the tool.
According to a Harvard Business School study (2023) of 758 consultants, tasks within the model's capabilities were done 25.1% faster with AI. Assessing sources lies partly outside that range, so we measure corrections to briefs separately. After 30 days we count the briefs where the reader asked about the source or the scope of the data, and the conclusions the analyst had to narrow after comparing them with the primary study.
When access to databases is enough
If the team loses time mainly searching for publications, better access to databases and industry sources will help. Training makes sense when the sources are available but briefs come back with questions about the scope of the data. Scientific publications are covered in a separate guide on literature notes with AI, and the work of a marketing team on the page about AI in marketing.
Data sources are missing
access to databases and publications
a licence
Briefs come back with questions about scope
training on assessing sources with AI
from €1,150 a day
Regular review of the same sources
automated collection of information
from €3,000
Where to start
We set the programme on the question analysts receive most often and on a brief where the director asked about the sources. The head of strategy brings the purpose of the analysis, and the analysts bring their own drafts. We run the workshop as part of team training. For the free analysis, a description of one task the team does every week and of the tools it uses is enough. You get the written training programme within 2 working days.
Worked example · Scenario
How we count the payback: an analysis team
We run the same count for your team in the free analysis.
€2,094
a month for preparing 30 campaign reports
Payback: 1.7 mo.
2 hours to collect the data and prepare a campaign report and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: checking the commentary in our reporting system (about €0.0002) plus compiling the data (Claude Sonnet 5.5, about 30,000 + 2,000 tokens), at the ECB rate of 1.1205 USD per euro on 22 October 2026.
See the full calculation →
