Salesforce Chair and CEO Marc Benioff, Rwanda’s President Paul Kagame, and ITU Secretary-General Doreen Bogdan-Martin have announced the launch of the AI for Good Global Commission – a body of more than 40 heads of state, industry CEOs and UN agency chiefs that will hold its first meeting in Geneva on 8 July.
The Commission’s membership list is striking: Amazon CEO Andy Jassy, Nvidia founder Jensen Huang, Microsoft President Brad Smith, and Anthropic co-founder Jack Clark are among those signed up alongside government ministers from Nigeria, Singapore, Kazakhstan and Namibia.
The question now is what it will actually do.
Three Priorities – But No Binding Mandate
Benioff has been characteristically direct about where the Commission intends to focus. Speaking to Axios, he dubbed AI “the most profound technological transition in history”.
“Our values have to guide every step, because responsibility is the core of AI ethics. Our inaugural meeting will focus on where this group is uniquely positioned to act together: strengthening AI infrastructure, accelerating AI’s impact on health, education, food security and disaster response, and ensuring trust and safety.”
Those are meaningful priorities. But on first glance, the Commission has no regulatory authority, no enforcement mechanism, and no binding mandate.
Its stated aim is to “identify practical pathways” – language that signals an advisory and agenda-setting role rather than direct action.
That may still matter. The body is modelled on the ITU/UNESCO Broadband Commission for Sustainable Development, which is credited with shaping global priorities for connectivity and digital inclusion over the past decade.
Influence and framing, applied consistently at the highest levels, can move policy even without formal power.
The Talk Shop Risk – and the Empty Chairs
The Commission’s diversity is also its biggest governance challenge.
Governments are currently worlds apart on how AI should be regulated – and several of the Commission’s own members operate in jurisdictions with directly competing approaches to AI governance and digital sovereignty.
But the more fundamental problem is who isn’t in the room at all.
Scan the government side of the membership list and a pattern emerges quickly. Rwanda, Kazakhstan, Namibia, Nigeria, Togo – none of these countries are driving global AI policy.
Estonia and Singapore may be notable inclusions, but the governments that really matter – the US, China, the EU, the UK – are not represented.
The jurisdictions that between them produce the most advanced AI systems, deploy them at the largest scale, and whose regulatory decisions reverberate across the entire industry are represented, if at all, only through their private sector.
But industry executives are not policy makers, and their presence does not substitute for the governmental authority that would give this Commission’s conclusions any real weight in Washington, Beijing or Brussels.
History offers a sobering precedent.
The Global Partnership on AI – GPAI – launched in 2020 with genuine government buy-in from 29 countries including the US, EU members, the UK, Japan, India and Brazil.
It had far stronger governmental legitimacy than the AI for Good Global Commission can currently claim – but it still largely failed.
A post-mortem by the Brookings Institution found fundamental mission confusion, budget instability, frequent staff turnover and what it described as a “dearth of useful outputs.”
By July 2024, GPAI had been absorbed into the OECD, its ambitions as a standalone initiative effectively over. If a body with the major powers at the table couldn’t deliver, the bar for this one is even higher.
Where the Commission may have the most tangible near-term impact is on its digital access agenda.
With 2.2 billion people still offline, the connectivity gap is concrete, measurable and well-understood – and the Commission has a ready-made coalition of telecoms CEOs, development ministers and UN agencies in the room who have spent years working on exactly this problem.
That is a genuine area of potential, but it is a long way from shaping the global rules of the road for AI.
Why Enterprise Tech Leaders Should Pay Attention
For enterprise technology professionals, the more immediate question is what a commission co-chaired by Benioff signals about the direction of AI governance.
“The promise of AI is built on not only incredible opportunities for the growth of our economy, but on the foundation of trust that is required for our shared success,” he said at the launch. That framing – trust as a precondition for AI’s economic value, not an optional add-on – is consistent with how Salesforce has positioned its AI platform and how Benioff has spoken about responsible AI for years.
His presence at co-chair level in a UN-backed body suggests the enterprise software industry sees a strategic interest in shaping global AI governance from the inside, rather than reacting to it from the outside. For CIOs and technology leaders navigating an increasingly complex patchwork of AI regulation across jurisdictions, a body that builds consensus on trust and governance standards – even non-binding ones – is worth tracking.
The Commission’s next steps will become clearer in the weeks following the Geneva summit. Whether it becomes a genuine force for practical change, or an expensive talking shop, will depend on whether those next steps involve commitments with names and deadlines attached to them – and whether the governments that matter most can eventually be brought to the table.
