Executives mostly hear about AI from vendors, one product at a time. That rarely adds up to a decision. More often it adds up to a pilot here, a license there, and an uncomfortable question at the next budget review about what it all delivered.
Then there is the format question. Three days on campus, six weeks online with a business school, a free course over a weekend, or a workshop with your own leadership team: all of them are sold as "AI for leaders", and each produces something different. What is missing is a sober picture of what AI can do in your company, and a plan for who does what next.
AI training for executives: four formats compared
Specialty Tokens runs in-house executive workshops and wrote this page. Details on the other formats come from the providers' own websites (as of October 2026).
| Format | Who it is for | Time | What you leave with | Fits when | Doesn't fit when |
|---|---|---|---|---|---|
| In-house executive workshop (e.g. Specialty Tokens) | one company's leadership team, together | a few hours to a day | decisions, a named owner, a six-month roadmap | the team has to decide together | one person needs deep, broad knowledge |
| Business school, on campus (e.g. Berkeley Haas "AI for Executives") | individual senior leaders from different companies | 3 days | frameworks, a peer network, a certificate of completion | you want faculty and peers away from the office | the whole team has to decide soon |
| Business school, online (e.g. MIT Sloan, Oxford Saïd, Wharton) | individual managers and executives | 6 weeks to 6 months, part time | structured knowledge, a project on your own organization, a certificate | one person will own AI long term | the question is your systems and data |
| Self-paced online course (e.g. HBS Online "AI for Leaders", Coursera "AI For Everyone") | individuals, at their own pace | about 7 to 20 hours | foundational knowledge | time is tight and the budget small | concrete decisions are due |
The online programs in more detail: MIT Sloan's "Artificial Intelligence: Implications for Business Strategy" runs six weeks at 6 to 8 hours a week, with an individual project applying AI to your own organization. The Oxford Artificial Intelligence Programme from Saïd Business School runs six weeks online, with weekly assignments and no exam. Wharton's Leadership Program in AI and Analytics runs six months at 4 to 6 hours a week, asks for at least ten years of work experience, and includes a capstone that produces an organization-specific AI roadmap. HBS Online's "AI for Leaders" is on demand, 16 to 20 hours in four modules. Andrew Ng's "AI For Everyone" from DeepLearning.AI on Coursera takes about seven hours and can be audited for free.
Open programs have one advantage an in-house workshop does not: you hear how leaders from other companies approach the same problem.
Which format fits when
If one person, say the future head of AI, needs to go deep and come back with a certificate, a business school program is a better choice than our workshop. If a first overview is enough or the budget is small, AI For Everyone or HBS Online is a good start.
An in-house executive workshop is worth it when the leadership team has to decide together: which platform, which rules, which workflow first. Open formats cannot talk about your systems, your data, and who in your company is accountable. That is why many companies combine the two: one person in a program, the leadership team in an in-house session.
What executives should know before approving AI budget
According to the US Census Bureau, between 17% and 20% of US businesses used AI from December 2025 to May 2026, and 37% of firms with at least 250 employees did. Eurostat counted about 20% of EU enterprises with ten or more employees in 2025, and 55% of large ones. So the question is rarely whether, but where to start. Before a budget is approved, these points should be settled:
- Where you stand: no company AI, company-wide chat, connected internal systems, or work that runs as an agent workflow. The AI maturity model describes the stages.
- What comes first: one recurring workflow with a measurable payoff, not ten pilots at once.
- What it really costs: besides licenses, connecting your systems, training, a named owner, and ongoing upkeep.
- Which data may go where: data rules and a short AI policy before the teams start. In the US, the voluntary NIST AI Risk Management Framework (Govern, Map, Measure, Manage) is a common reference.
- What the EU AI Act asks if you operate in the EU: Article 4 has applied since February 2, 2025. Since the Digital Omnibus (Regulation (EU) 2026/1744, in force since July 27, 2026), companies take measures to support the development of AI literacy; the obligation remains. More in AI literacy training. This is not legal advice.
How our executive workshop works
AI training for executives from Specialty Tokens starts from the questions a leadership team has to decide on and works down to the technology. The examples come from our own engagements, so every claim in the room can be checked against a company that has done it. Sessions are led by directors Nik Redl and Thomas Schlossmacher.
- The reality check: what really changed this year, and which stage your company is at.
- Your first AI skill: each executive captures a task they already do well as a reusable skill. Leaders who have built one decide differently.
- The company-wide picture: one central AI platform, agents at every seat, connected systems such as ERP and CRM, and what happens to the things people build.
- Governance and accountability: data rules, the AI policy, who decides.
- The AI strategy workshop at the end: which workflows are worth automating first, ranked by effort and payoff, who owns them, which teams get trained when, and what months one, three, and six look like.
Proof from the room
As a partner of the Austrian Federal Economic Chamber (WKO), we run a series of in-person executive AI sessions for business owners and leaders. You can watch the recording and get the slides of the executive AI workshop, "From AI Hype to Company Capability", before you book anything. At Speedinvest, the pan-European VC, we enabled the fund team by team and connected its Affinity CRM and ERP; a dealflow inbox automation there saves an estimated 10 to 20 hours a week.
After leadership come the teams: on their own work in AI training for employees, in tool training such as ChatGPT training or Microsoft Copilot training, and through the AI champions program, which builds a go-to person in every department. Everything built is yours, with no per-seat fees and no dependency on us. Sessions run on site in the US, the UK, and Europe, in English or German. If you are planning a session for your leadership team, talk to us.
