OpenAI Academy's European Tour: How SMEs Can Break Through with AI

OpenAI Academy Comes to Europe: An AI Literacy Movement

The wave of artificial intelligence is moving from Silicon Valley labs to corner shops across Europe. OpenAI recently visited six European countries through its educational initiative, "OpenAI Academy," conducting workshops in five languages and equipping roughly 1,500 people with the skills and confidence to apply AI in their day-to-day work.

Behind this effort lies a more strategically significant program — the SME AI Accelerator. Positioned as "a fast track to effective AI adoption," it aims to help small and medium-sized enterprises — businesses that typically lack dedicated tech teams and resources — quickly overcome the barriers to AI adoption.

This positioning is rooted in a deep industry context. SMEs account for over 99% of all businesses in the EU, contributing roughly two-thirds of employment and more than half of GDP. Yet according to multiple European Commission surveys, these enterprises have consistently lagged behind large corporations in digital transformation — particularly in AI adoption. For most SMEs, the core obstacle isn't access to technology, but rather a lack of in-house technical talent, uncertainty about AI's return on investment, and concerns over data privacy compliance. The SME AI Accelerator targets this structural pain point, attempting to activate a massive but largely silent market by lowering the barriers to entry.

Interestingly, the program's audience isn't limited to businesses. Whether teachers, students, small enterprises, or nonprofits, OpenAI Academy aims to provide help on three levels: understanding AI, using AI responsibly, and applying AI to real-world work scenarios. This "understand — responsibility — apply" three-stage framework reflects OpenAI's deliberate emphasis on ethics and compliance alongside technology promotion — a particularly crucial consideration in Europe's relatively strict regulatory environment.

From "Understanding" to "Responsible Use": OpenAI's Outreach Logic

Unlike a straightforward product pitch, OpenAI Academy's content design reflects a more mature approach to technology literacy. Rather than stopping at "here's what AI can do for you," it places "responsible use" on equal footing with "understanding" and "application."

This carries special significance for the European market. With the advancement of the EU AI Act, businesses deploying AI face increasingly explicit compliance requirements. Officially passed in 2024, the Act is the world's first comprehensive legal framework for AI regulation, adopting a risk-based tiered approach: AI systems are classified into four levels — unacceptable risk, high risk, limited risk, and minimal risk — each subject to different degrees of compliance obligations. For example, AI used in recruitment screening or credit assessment is classified as high risk and must meet strict requirements around data governance, transparency, and human oversight. For SMEs lacking specialized legal and technical teams, understanding which risk tier their AI tools fall into — and how to meet the corresponding documentation and transparency requirements — is a complex but unavoidable task. How to use AI within a compliance framework is often more confusing than whether one can afford it.

Through the workshop format, OpenAI Academy is effectively lowering the cognitive barrier for SMEs. This in-person, multilingual, face-to-face approach builds trust far more effectively than simply publishing documentation or online tutorials — especially when engaging traditional industry practitioners who remain on the fence about AI.

Real Stories: How ChatGPT Is Changing Day-to-Day Operations

The most compelling part of this initiative comes from participants' real feedback. A founder with dyslexia shared that, as a dyslexic founder, she "uses ChatGPT every day in her business" and described it as "revolutionary."

This case is highly representative. Dyslexia is a common learning difference affecting approximately 5%-10% of the global population. Its core characteristics involve persistent difficulties with reading, spelling, and writing, but it has no bearing on intelligence. Many successful entrepreneurs and innovators have dyslexia, including Virgin Group founder Richard Branson. Traditional assistive technologies include text-to-speech software and spell-check tools, but these tend to be limited in functionality and narrow in application. Generative AI represents a qualitative leap — it doesn't just correct spelling and grammar, but understands semantics, generates structured text, and reorganizes complex information into easily digestible formats. It's essentially an always-on intelligent writing assistant and thought-organizing tool.

For business owners who struggle with reading and writing, ChatGPT isn't just a productivity tool — it's an accessibility technology. It can help draft emails, organize documents, and structure ideas, transforming tasks that were once painstaking due to dyslexia into smooth, manageable workflows. This reveals a frequently overlooked dimension of generative AI's value: it lowers the entry barrier to knowledge work.

Another participant represented a much broader group — first-time users. "I just started using ChatGPT today at the event," he said, "and I can see a huge opportunity to start looking at the data our company has."

From the power user who relies on it "every day" to the newcomer who "just started today," these two contrasting states neatly outline the full spectrum of AI adoption among SMEs. And the latter's mention of "looking at company data" points to one of AI's most promising enterprise applications: extracting insights from dormant business data. For most SMEs, years of accumulated customer records, sales data, and operational logs have been sitting quietly in spreadsheets and databases. Without data analysts on staff, this data has never been systematically examined or leveraged. AI tools now enable non-technical personnel to conduct exploratory analysis through natural language queries — spotting trends, identifying anomalies, and making more evidence-based business decisions.

From ChatGPT to Codex: Programming Capabilities Reaching SMEs

Another keyword from this initiative is Codex. As OpenAI's capability for code generation and software development, Codex's introduction means AI empowerment for SMEs is no longer limited to text and conversation.

Codex was originally a code generation model fine-tuned from GPT-3, released in 2021, and served as the core engine behind GitHub Copilot. It can convert natural language descriptions into executable code, supporting Python, JavaScript, and dozens of other programming languages. In 2025, OpenAI launched a completely new Codex product — an AI coding agent running in a cloud sandbox environment, capable of handling multiple tasks in parallel, including writing feature modules, fixing bugs, running tests, and even submitting code reviews. This evolution from "code completion tool" to "autonomous coding agent" means non-technical users can simply describe their needs in natural language and receive complete code solutions, dramatically lowering the technical threshold for software development.

For small businesses without dedicated developers, the significance of tools like Codex is that tasks which previously required outsourcing or hiring a programmer — like "writing a script to process data" or "building a simple automation workflow" — become readily accessible. When a business owner talks about "looking at company data," Codex is precisely the bridge that turns that idea into an executable solution.

This represents a deeper trend in AI democratization: programming capabilities are shifting from professional developers to everyday business users. This isn't unique to the AI era — it's a continuation and upgrade of the Low-Code/No-Code movement. Over the past decade, platforms like Airtable, Zapier, and Notion have enabled business users to build simple data management and automation workflows. However, these tools' flexibility remains constrained by preset modules and templates. AI code generation tools break through that ceiling — they allow users to describe any requirement in natural language and generate truly customized scripts and applications. Gartner predicts that by 2026, 80% of technology products and services will be built by non-technical professionals. SMEs no longer need massive IT budgets to build their own lightweight data processing and automation tools.

Observations and Reflections: Opportunities and Challenges of AI for All

At the close of the event, OpenAI laid out a clear vision: "We've seen how AI can benefit small businesses, and now we need to expand our ambitions to make AI a source of opportunity for everyone."

From an industry analysis perspective, this European tour reveals several noteworthy signals:

• Market education before market expansion. OpenAI recognizes that the bottleneck for SME AI adoption isn't the technology itself, but cognition, trust, and skills. Investing in offline education resources is a long-term play. This strategy has well-established precedents in the tech industry — Salesforce cultivated a massive CRM user ecosystem through its free Trailhead learning platform, and Google promoted digital marketing skills globally through its "Digital Garage" program. These investments are hard to monetize directly in the short term, but they build user habits, establish brand loyalty, and pave the way for subsequent commercialization.
• Compliance as a competitive moat. Emphasizing "responsible use" in Europe is both a necessary response to regulation and a potential differentiating strategy for OpenAI to build trust advantages over competitors. Notably, the EU AI Act also establishes specific compliance obligations for general-purpose AI models (GPAI), including technical documentation, copyright policy transparency, and publication of training data summaries. By proactively embracing these requirements at the educational level, OpenAI is effectively helping downstream users share the compliance burden while shaping its market image as a "responsible AI leader."
• Accessibility value rediscovered. The dyslexic founder's story reminds us that generative AI's social value extends far beyond efficiency gains — it holds transformative potential for inclusivity. The World Health Organization estimates that approximately 1.3 billion people worldwide live with some form of disability. AI applications in visual description, voice interaction, text simplification, real-time translation, and other scenarios are redefining the boundaries of "assistive technology," expanding it from specialized devices to universal software features accessible to everyone.

Of course, 1,500 people across six countries and five languages is still a drop in the ocean compared to the tens of millions of SMEs across Europe. The real challenge lies in how to scale this high-touch workshop model to a much broader market. This is both OpenAI's opportunity and the practical hurdle it must confront. Possible paths include partnering with local chambers of commerce, industry associations, and government agencies to establish trainer networks (a train-the-trainer model), and converting workshop content into structured online courses and certification programs — achieving scale while preserving the core educational philosophy.

Regardless, when AI transforms from a topic for tech elites into an everyday tool that a shop owner describes as something they "use every day," this technology revolution has truly begun to touch the ground.