# From AI Novice to AI Champion: The OECD Maturity Ladder for SMEs

> Author: Chris Jon Graf (AI Strategist & CEO)
> Updated: 2026-08-03
> URL: https://ai-outsourcing.ch/insights/from-ai-novice-to-ai-champion-the-oecd-maturity-ladder-for-smes

## Summary

The OECD G7 AI taxonomy (April 2026) defines four SME maturity stages: 76% of AI-using SMEs remain "AI Novices" relying on simple, off-the-shelf tools for isolated tasks, while only 3.6% reach "AI Champion" status with tailored, organisation-wide deployment. The framework gives you a concrete next step, not just another statistic – and shows how Swiss support programmes (EDIHs, Innosuisse CHF 100k–1M, Regulatory Sandboxes, Apertus LLM) enable the climb to Champion, within a projected CHF 15 billion annual AI innovation by 2034.

## What the OECD G7 AI Taxonomy Means for Your SME

In April 2026, the OECD released "Empowering SMEs in the age of AI" (2026 D4SME Survey covering over 2,000 SMEs from 12 OECD countries), introducing a G7 taxonomy that classifies AI-using companies along two axes: the complexity of the AI deployed (off-the-shelf tools versus customised, agentic solutions) and the scope of deployment (isolated tasks versus organisation-wide rollout). This produces four quadrants — Novices, Optimisers, Explorers and Champions — giving you, for the first time, a diagnostic tool that shows exactly where your company stands and what the concrete next step looks like.

**61%** — of SMEs already use some form of AI, according to the OECD

**76%** — of those remain stuck at the "AI Novice" stage

**CHF 15bn** — projected annual AI innovation in Switzerland by 2034 (Google/Implement Consulting Group)

## The Four OECD Maturity Stages in Detail

| | |
| --- | --- |
| **AI Novices (76%)** | Simple off-the-shelf tools for isolated tasks (e.g. ChatGPT for marketing). 70% use AI for marketing-related activities. |
| **AI Optimisers (15.3%)** | Off-the-shelf tools deployed in a coordinated way across multiple departments/functions. |
| **AI Explorers (5%)** | Customised or agentic AI for specific tasks (e.g. demand forecasting: 39% of customised AI use cases). |
| **AI Champions (3.6%)** | Customised/agentic AI integrated organisation-wide, with governance and data access. |

### AI Novices – 76% of AI-Using SMEs

Novices use simple, off-the-shelf AI tools for isolated tasks — most commonly in marketing, where the OECD finds 70% of off-the-shelf AI use is concentrated. The issue is rarely a lack of willingness; it is the absence of organisational embedding. Isolated tool use, however successful, does not by itself move a company forward on the ladder.

### AI Optimisers – 15.3%, Off-the-Shelf Tools, Broader Rollout

15.3% of AI-using SMEs fall into the Optimisers quadrant: they still rely on off-the-shelf tools, but have extended their use beyond a single department to the wider organisation. The jump from Novice to Optimiser is organisational, not technological — it is about systematically transferring one successful tool to further teams.

### AI Explorers – 5%, Customised but Limited

Explorers already invest in customised or agentic AI solutions, for example for demand forecasting — the OECD's most common use case for customised AI, at 39% of customised AI use cases. Deployment, however, remains confined to individual functions, typically because organisation-wide governance and data access are still missing.

### AI Champions – 3.6%, Customised and Organisation-Wide

Champions combine both dimensions: customised or agentic AI solutions deployed across the entire organisation. At 3.6%, they form the smallest group — but also the one with the most demonstrable effect on productivity and competitiveness.

## Where Does Switzerland Stand – and What Is Driving It Forward?

In Switzerland, roughly 34% of SMEs use AI, according to the 2025 AXA labour market study — lower than the OECD average of 61%. Yet the underlying pattern holds: the challenge here is not awareness, but organisational integration beyond isolated use cases. 52% of Swiss companies expect AI ROI within one year (above the European average), and 73% expect significant revenue contributions by 2030 (Chambers Global Practice Guide May 2026) — yet scaling remains limited by system integration challenges, inability to identify viable use cases, lack of AI literacy, and data protection and security concerns.

Swiss companies invest more heavily in AI than the rest of Europe — but the workforce is lagging behind, a pattern analysed in detail in https://ai-outsourcing.ch/insights/swiss-companies-invest-more-heavily-in-ai-than-the-rest-of-europe-but-the-workforce-is-lagging-behind.

**34%** — of Swiss SMEs use AI, according to the 2025 AXA labour market study

**52%** — of Swiss companies expect AI ROI <1 year (above EU average)

## Swiss AI Roadmap 2026: Concrete Support Programmes for the Climb

In June 2026, digitalswitzerland published the Swiss AI Roadmap (coordinated with a Google/Implement Consulting Group study), delivering quantified projections (CHF 15 billion annually through AI innovation by 2034), concrete financing mechanisms, and a pragmatic regulatory approach (sector-specific instead of blanket EU AI Act adoption). Federal Councillor Rösti: "We are focusing on smart, agile rules instead of bans." Switzerland currently has no dedicated AI legislation, relying instead on existing legal frameworks and sector-specific regulation — which for SMEs means lower compliance overhead than across the border.

| | |
| --- | --- |
| **European Digital Innovation Hubs (EDIHs)** | Consulting, test infrastructure, specialist access for SMEs. Addresses via digitalswitzerland. |
| **Innosuisse Flagship Calls** | Up to 50% project costs for R&D-intensive AI projects (CHF 100k–1M), in collaboration with research institution. |
| **Swiss Accelerator** | Competitive funding for start-ups & SMEs with above-average innovation potential. |
| **National AI Innovation & Regulatory Sandboxes** | Liability-free experimentation for small & large players, informs tailored AI policy. |
| **Canton Zurich AI Innovation Programme** | Launched September 2026, cantonal support for AI implementation. |
| **Canton Vaud DigiBoost** | Digitalization vouchers up to CHF 10k for SMEs <50 employees. |
| **New Regional Policy Fund** | Cantonal support for digital transformation. |
| **Apertus Open-Source LLM** | Trained on Alps supercomputer (ETH/EPFL/CSCS), multilingual, sovereignty-respecting, compliance-friendly. |
| **digitalswitzerland Micro-Credentials** | Certificate for trustworthy AI use, as upskilling framework across enterprises. |

The **Apertus Open-Source LLM** is a unique Swiss asset that combines data sovereignty, Big Tech lock-in avoidance, and compliance requirements in one narrative. For SMEs, this means: a sovereign, Alps-trained, multilingual foundation model that can be used without API costs to foreign cloud providers and without surrendering data to foreign infrastructure.

> **Concrete Next Steps for Swiss SMEs**
>
> 1. EDIH Consulting: Contact your regional European Digital Innovation Hub for free initial consulting and test infrastructure access. 2. Review Innosuisse Application: For R&D-intensive AI projects (life sciences, manufacturing) up to 50% cost coverage (CHF 100k–1M) in cooperation with research institution. 3. Use Regulatory Sandbox: Test liability-free in National AI Innovation & Regulatory Test Environments if you have regulatory-sensitive use cases. 4. Evaluate Apertus LLM: Instead of immediately committing to US Big Tech APIs, test the Swiss sovereign foundation model for data-intensive use cases.

## From Novice to Champion: The Concrete Path

1. Novice → Optimiser: Stop treating successful off-the-shelf tools as isolated wins; systematically roll them out to further teams and processes. The jump is organisational, not technological — it requires governance, not new software.
2. Optimiser → Explorer: Define initial customised or agentic use cases where off-the-shelf tools have reached their limits. Use EDIHs for test infrastructure and Innosuisse for co-financing.
3. Explorer → Champion: Establish governance, data access and clear ownership so customised solutions can scale across the entire organisation. An AI Center of Excellence (CoE) coordinates this transition: https://ai-outsourcing.ch/insights/ai-center-of-excellence-how-swiss-smes-coordinate-their-ai-transformation.

> **The jump rarely happens on its own**
>
> Moving from isolated pilots to coordinated, organisation-wide AI requires a structure that concentrates accountability. How this works concretely is shown in https://ai-outsourcing.ch/insights/ai-center-of-excellence-how-swiss-smes-coordinate-their-ai-transformation.

## Why Organisation Matters More Than Tool Choice

The OECD taxonomy makes one thing clear: the difference between a Novice and a Champion rarely lies in the quality of the AI models used. It lies in the organisational capacity to turn a pilot into a scaled, company-wide operation. Companies that underestimate this transition tend to remain stuck in what is often called the pilot trap — running promising experiments that never scale into measurable returns. This pattern is analysed in detail in https://ai-outsourcing.ch/insights/from-pilot-trap-to-roi-how-swiss-smes-successfully-scale-ai-agents.

Before investing in further tools, it is worth revisiting the strategic fundamentals: [AI strategy for Swiss SMEs — avoiding the three biggest mistakes in the global race](https://www.ki-podcast.ch/ki-standort-schweiz-kmu-strategie-und-globales-rennen) offers a grounded perspective on exactly this question.

## FAQ

### What is the OECD G7 AI taxonomy?

A diagnostic framework published by the OECD in April 2026 (2026 D4SME Survey covering over 2,000 SMEs from 12 OECD countries) that classifies SMEs by AI complexity (off-the-shelf vs. customised) and deployment scope (isolated task vs. organisation-wide) into four maturity stages: Novices (76%), Optimisers (15.3%), Explorers (5%) and Champions (3.6%).

### How many Swiss SMEs actually use AI?

According to the 2025 AXA labour market study, around 34% of Swiss SMEs use AI — lower than the OECD average of 61%, but following the same underlying pattern in which most users remain Novices (isolated, simple tools). 52% of Swiss companies expect AI ROI within one year (above the EU average), and 73% expect significant revenue contributions by 2030 (Chambers Global Practice Guide May 2026).

### What distinguishes an AI Novice from an AI Champion?

Novices use simple, off-the-shelf tools for isolated tasks (70% for marketing, according to the OECD). Champions deploy customised or agentic solutions across the entire organisation (3.6% of AI users). The difference lies in complexity and scale of deployment, not merely in whether AI tools are available — and above all in the governance capacity to scale pilots.

### How does an SME move from Novice to Optimiser?

By extending already-successful off-the-shelf tools beyond a single department to additional teams and processes, rather than immediately investing in new, more complex technology. The jump is organisational (governance, process standardisation), not technological (new software).

### Is reaching AI Champion status realistic for an SME?

Yes, provided governance, data access and ownership are organised across the company. Currently only 3.6% of AI-using SMEs reach this stage, according to the OECD, making it the largest untapped opportunity in the market. An AI Center of Excellence (CoE) coordinates this scaling, as described in https://ai-outsourcing.ch/insights/ai-center-of-excellence-how-swiss-smes-coordinate-their-ai-transformation.

### Which Swiss support programmes enable the climb from Novice to Champion?

European Digital Innovation Hubs (EDIHs) offer consulting, test infrastructure and specialist access. Innosuisse finances up to 50% of project costs (CHF 100k–1M) for R&D-intensive AI projects in cooperation with research institutions. National AI Innovation & Regulatory Sandboxes enable liability-free experimentation. The open-source Apertus LLM (Alps supercomputer, ETH/EPFL/CSCS) is a sovereign, compliance-friendly foundation model. Canton Vaud offers DigiBoost vouchers up to CHF 10k for SMEs <50 employees. Details in the Swiss AI Roadmap 2026 (digitalswitzerland, June 2026).

## Sources

- [OECD: Empowering SMEs in the age of AI (2026 D4SME Survey)](https://www.oecd.org/content/dam/oecd/en/publications/reports/2026/04/empowering-smes-in-the-age-of-ai_7f58652c/bf5a9816-en.pdf)
- [Martel Innovate: Switzerland's AI Roadmap – What's in for SMEs and Innovation](https://martel-innovate.com/news/2026/06/10/switzerland-ai-roadmap-smes-innovation-growth/)
- [OECD: AI adoption by small and medium-sized enterprises (G7 Discussion Paper Dec 2025)](https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/12/ai-adoption-by-small-and-medium-sized-enterprises_9c48eae6/426399c1-en.pdf)
- [Chambers Global Practice Guide: Artificial Intelligence 2026 – Switzerland](https://www.omago.ai/blog/sme-ai-adoption-2026-data)
- [G7 Canada: The SME AI Adoption Blueprint (Dec 2025)](https://ised-isde.canada.ca/site/ised/sites/default/files/documents/g7-mtl-ai-adopt-blueprint-en.pdf)