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2026-10-25

GPT-5.2 has arrived: OpenAI's counter-offensive against Claude, Gemini and the battle of AI agents

Emma Pariente

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The AI landscape continues to change at high speed.
After several months dominated by Claude Opus 4.5 (Anthropic) and Gemini 3 (Google), OpenAI officially strikes back with GPT-5.2.

To take action, discover our corporate ChatGPT training and our custom AI agent development service.

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No spectacular "wow" effect.
No futuristic promises.

But a clear strategy:
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👉 to become the most reliable AI work tool for companies again.

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GPT-5.2 marks a turning point: OpenAI is no longer trying to impress, but to establish itself in real business use.

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Why GPT-5.2 was essential for OpenAI

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In recent months, one observation stood out on the ground:

Claude dominated financial analysis, complex documents and spreadsheets
Gemini was gaining the upper hand on reasoning, multimodality and integration with Google tools
ChatGPT remained popular… but was losing ground on advanced professional uses

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OpenAI had to react.
GPT-5.2 is that reaction.

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GPT-5.2: less spectacular, much more useful

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GPT-5.2 is not a "showcase" model.
It is an execution model.

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What fundamentally changes:

better understanding of long, complex documents
more structured, more reliable analysis
tables, reports and materials that are ready to use
the ability to chain multi-step tasks from start to finish

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👉 GPT-5.2 now behaves like a work assistant, not just a chatbot.

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1. Analysis and reasoning: really catching up with Claude

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On analytical uses, GPT-5.2 makes clear progress.

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Concrete use cases

Analysing a financial or strategic report
Comparing suppliers, tools or scenarios
Writing summary notes for the leadership team (COMEX)
Identifying risks, opportunities and trade-offs

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Where GPT-5.1 sometimes lacked structure or precision, GPT-5.2:

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prioritises information better
puts data in context
makes more coherent recommendations

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👉 Claude keeps a slight lead on pure finance, but the gap is narrowing sharply.

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2. Spreadsheets, budgets and documents: the great leap forward

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This is one of the most striking points.

GPT-5.2 is much more reliable at:

creating structured tables
budget projections
schedules and financial models
KPI tracking tables

Example uses

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Generating a budget with totals and projections
Structuring a cash-flow table
Creating an HR schedule with its budget impact
Formatting raw data into usable tables

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👉 The model now builds the structure; you adjust the content.

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3. "Consultant-level" presentations and materials

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GPT-5.2 excels at structuring ideas.

It produces:

clear outlines
prioritised key messages
materials ready to present

Use cases

Slides for a strategy meeting
Client summary from scattered notes
Structured action plan (steps, risks, deliverables)

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👉 A huge time saving for management, consulting, marketing and finance.

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4. Long documents: readable at last

GPT-5.2 understands large documents much better:

reports of 30 to 100 pages
complex contracts
tenders and supplier responses

It can:

extract the essentials
identify sensitive clauses
compare several documents with each other

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👉 No more hours of low-value reading.

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5. Multi-step tasks: AI that (really) executes

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GPT-5.2 no longer just answers.

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It can:

analyse a situation
produce tables
write a report
propose final recommendations

Examples

Automatic report from internal data
Complete customer response with the related procedure
Internal assistant able to consolidate several sources

👉 We are moving from "conversational" AI to operational AI.

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GPT-5.2 vs Claude and Gemini: where does OpenAI really stand?

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Let's be clear.

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Claude Opus 4.5 remains a benchmark for advanced finance and highly rigorous analysis
Gemini 3 dominates distribution and integration with Google tools (Workspace, Android, Search)
GPT-5.2 makes a strong comeback on cross-functional productivity

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GPT-5.2 does not win everywhere.
But it is competitive again on almost all key uses.

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What we think at AI Sisters

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Our feedback from the ground is clear:

GPT-5.2 finally produces genuinely usable results
It structures better, chains tasks better, understands better
It is getting closer to the level business teams expect

Is that enough to regain the lead for good?
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👉 It is still too early to tell.

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But one thing is certain:
OpenAI has understood that the battle is no longer about demos, but about real impact in companies.

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What now? The challenge is no longer the tool, but how it is used

The models are powerful.
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The real difference is made elsewhere:

training teams
structuring use cases
integration into workflows
maturity in prompting and automation

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👉 That is where competitive advantage is created.

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At AI Sisters, we already support more than 900 companies in turning these models into concrete performance levers.

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Discover our AI training & book a call

Explore our different training modules and choose, with us, the one that best meets your AI needs.

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FAQ

Answers to your questions about AI in business.
How to train your teams, identify the right use cases and roll out AI effectively.

Book a call

How can I train my teams in AI without it taking months?

It is the question we hear most often. The short answer: with the right method, a single day is enough for your teams to really start changing their habits. At AI Sisters, we have built a three-step approach, tested on more than 350 projects:

Step 1 - Understand, not just "discover"
We start with an AI Show: a live, immersive session with real-time demos on real cases. No generic slides. Your teams leave with a clear view of what AI can (and cannot) do for them.

Step 2 - Practise on real topics
Hands-on workshops are organised by role: HR, Finance, Marketing, Sales, Legal, Ops. We use your real documents, your real emails, your real tools. Prompts are tested live.

Step 3 - Embed new habits at D+30
One month later, we run an impact review: what has been adopted, what is still blocking, what needs adjusting. This follow-up is what makes the difference.

In short: training your teams in AI does not take months. With an approach built on immersion, role-based practice and impact follow-up,

Can AI training really be adapted to my sector (healthcare, finance, industry...)?

Yes, and that is exactly what separates useful training from training people forget.

Before each project, AI Sisters carries out a pre-audit: we analyse your typical documents (contracts, emails, reporting, product sheets), your tools (Office suite, Google, CRM, ERP) and your workflows.
We identify where AI can create value in your specific context. Then we choose, from our 40 business experts, the one who knows your sector best.
An HR team in an industrial group will not see the same examples as a B2C sales team. Prompts, exercises, use cases - everything is adapted.

‍In short: AI Sisters adapts each training programme to the reality of your sector, thanks to a pre-audit and 40 business experts. Healthcare, finance, industry, services: content is built on your real documents and your real constraints, not on generic examples.

Can AI training be funded by my OPCO?

Yes, in most cases.
AI Sisters training is Qualiopi-certified, which makes it eligible for OPCO funding (French training funds). The level of funding depends on your skills operator, the scheme used and your available budget, but in many cases a significant part of the cost can be covered.

In practice, we support you through the whole application: detailed quote, compliant programme, supporting documents, follow-up until reimbursement.

‍In short: thanks to Qualiopi certification, AI Sisters training is OPCO-fundable. The amount varies with your operator and your situation, but it can mean substantial savings.

Is AI training better on-site or remote?

Both work. What matters is the intention behind the format.
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On-site is ideal for a strong kick-off: a seminar day, a moment of collective co-creation, a team starting out together.

Remote is perfect for multi-site or international teams - our online sessions use training assistants via chat to keep things interactive (Q&A, co-writing prompts, live exercises).

Either way, the method stays the same: AI upskilling + practice + follow-up. And every session is led by a business expert, not a generalist trainer.

‍In short: on-site or remote, the format adapts to your organisation. AI Sisters keeps the same level of quality and interactivity in both cases, with business experts dedicated to each session.

Which tasks can I really hand over to AI in my team today?

The best way to answer is by role.

‍HR: screen CVs, generate job descriptions, write emails to candidates, prepare interviews.
‍Finance: explain an Excel table, write a commentary on results, prepare a forecast budget.
‍Marketing / Comms: create an editorial calendar, adapt a message into several formats, A/B test hooks.
‍Sales: write prospecting emails, personalise sequences, prepare responses to tenders.
‍Legal: analyse an NDA, flag risky clauses, generate a first draft to review.
‍Leadership: summarise committee meetings, prepare strategy notes, build impact scenarios.

In our AI workshops, we do not show fictional cases. We take your real documents and test AI on them, live.

Before AI: 2 hours to write meeting minutes.
With AI: 20 minutes.
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Before AI: 3 hours to analyse an Excel file.
With AI: 30 minutes.

‍In short: AI can speed up dozens of practical tasks in every department. AI Sisters helps you identify the ones with the most impact for your team, and test them straight away on your own documents.

My team is not technical. Can they still use AI?

Yes. In fact, that is the whole point.

Our approach is 100% role-based, with no technical jargon. We start from your teams' real problems (lost time, repetitive tasks, heavy reporting) and show how to turn them into simple prompts.

At the end of the workshop, each participant leaves with ready-to-use prompt templates adapted to their job.

The goal is not to train data scientists. It is for every employee to be able to say: "This is how AI helps me in a typical day."

‍In short: You do not need technical skills to use AI every day. AI Sisters turns the tools into accessible, role-based practices, and gives every participant prompts they can use the very next day.

How can I be sure AI does not make mistakes in a sensitive context (legal, medical, financial)?

It is a more than legitimate question, and we address it directly in our training.
We do not just show what AI can do. We also stress what should not be delegated to it, how to review and validate its answers, and how to combine a clear business brief with a well-built prompt to get the best quality.

Our experts know the constraints of your sector: compliance, deadlines, accuracy, GDPR, approved tools.
Nothing is left to improvisation.

‍In short: AI Sisters builds the limits and risks of AI into its training. Your teams learn to use AI reliably, knowing what they can hand over to it and how to check the results.