AI Investment Boom Leaves Social Impact Behind

Artificial intelligence captured 61% of global venture funding in 2025, yet under 1% of that money is earmarked for social impact projects. A UAE‑hosted roundtable highlighted the need for philanthropy to fund early‑stage, local‑language and infrastructure initiatives that commercial investors ofte…

By Felo News Desk · Published Sun, 27 Sep 2026 14:08:23 GMT

In 2025, artificial intelligence drew a staggering $258.7 billion in venture capital, representing 61% of all global startup funding. Despite this surge, fewer than 1% of those dollars were directed toward projects with a clear social‑impact mandate. The imbalance raises concerns that developing nations may end up as passive consumers of AI rather than active creators of the technology that shapes their futures.

Global South at a Crossroads

More than 60 leaders from government, business, philanthropy and technology convened at the UAE Mission to the United Nations in New York during the 81st General Assembly. The gathering aimed to chart a path for countries across the Global South to build the skills, infrastructure and institutions needed to steer AI development in line with their own priorities.

Co‑hosted by the Emirates Foundation and Badr Jafar, the UAE’s Special Envoy for Business and Philanthropy, the private roundtable also launched a white paper titled From Access to Agency: How Philanthropy Can Support AI Development in the Global South. The paper, developed in partnership with Oliver Wyman, argues that philanthropy can fill the funding gaps left by commercial investors and governments.

Why Philanthropy Is Needed

Commercial investors typically focus on high‑growth, early‑stage ventures that promise quick returns. Philanthropic funds, by contrast, can target areas that are too early, too local or too long‑term for the market, such as:

Local‑language datasets that reflect the linguistic diversity of the Global South.
Independent evaluation mechanisms to ensure AI systems are fair and effective.
Shared infrastructure that lowers the cost of deploying AI in resource‑constrained settings.
Technical skills development programs to build a local talent pipeline.
Support for local companies that can sustain AI solutions after pilot projects conclude.

“Philanthropy’s job is to fund what others will not: local‑language data, independent evaluation, the missing middle of people who keep a system working after the pilot ends, and the institutions that take a decade to build,” said Badr Jafar. “An AI model can cross a border in seconds. Trust, skills and institutions cannot. They are built with people, over years, on terms communities can sustain.”

Key Insights from the White Paper

The white paper cites data that more than 90% of the data used to train early large‑language models came from English‑language sources. It also notes that leading speech‑recognition systems record error rates of less than 6% in English, compared with over 60% in languages such as Yoruba. These disparities highlight the urgent need for inclusive data collection and algorithmic fairness.

Participants at the roundtable included prominent figures such as Bill Gates, Chair of the Gates Foundation; Omran Sharaf, UAE Assistant Minister of Foreign Affairs for Advanced Science and Technology; Dr Mohamed Al Kuwaiti, Head of the UAE Cybersecurity Council; and senior representatives from Microsoft, G42, Mubadala, S&P Global and several philanthropic organisations.

Strategic Partnerships and Future Actions

Ahmed Talib Al Shamsi, Secretary General of Emirates Foundation, emphasized that technology creates meaningful social impact when it strengthens the capabilities of people and institutions serving their communities. The UAE’s computing capacity, research institutions and capital were highlighted as assets that can support locally led AI development.

The discussion also explored the UAE’s AI for Development initiative for Africa and its AIM for Scale partnership with the Gates Foundation. At the conclusion of the meeting, Emirates Foundation signed an agreement with the Responsible AI Future Foundation to explore ways of helping communities and institutions responsibly adopt, shape and sustain AI solutions across the Middle East and Global South.

While the roundtable set a hopeful agenda, the challenge remains: how to mobilise sufficient philanthropic capital and create sustainable ecosystems that empower the Global South to be innovators rather than merely users of AI technology.

As the AI industry continues to grow, the balance between profit and purpose will shape the technology’s long‑term impact on society. Stakeholders must act now to ensure that the benefits of AI are shared equitably across all regions.

Key facts

AI attracted 61% of global venture capital in 2025 but <1% went to social impact
Philanthropy can fund early‑stage, local‑language and infrastructure projects that commercial investors overlook
Over 90% of training data for large‑language models is English, leading to high error rates in non‑English languages
The UAE roundtable highlighted partnerships to build AI capacity in the Global South
Sustainable AI ecosystems require long‑term investment in skills, data and institutions

Why it matters

The concentration of AI investment in high‑growth, English‑centric projects risks widening global inequalities, leaving many communities without the tools or institutions to shape technology that affects their lives.

Frequently asked questions

What percentage of AI venture capital went to social impact in 2025?

Less than 1% of the $258.7 billion invested in AI was earmarked for social‑impact projects.

Who hosted the roundtable on AI and social impact?

The UAE Mission to the United Nations in New York, co‑hosted by the Emirates Foundation and Badr Jafar.

What are some areas philanthropy can fund that commercial investors may miss?

Local‑language datasets, independent evaluation, shared infrastructure, technical skills development, and support for local companies sustaining AI after pilots.