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How to prevent AI from further widening the racial wealth gap

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Human resources and technology concept for AI augmenting team work.

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The rise of artificial intelligence (AI) has been stunning in both its speed and impact. According to data from Goldman Sachs, investment in AI is expected to reach $100 billion in the U.S. and $200 billion globally by next year. Last year, in private equity alone, generative AI (GenAI) investments reached $2.18 billion – double from the year before.

Yet, while we often hear about the boundless promise of AI – as we should – we also need to pay more attention to the careers, lives and communities it will disrupt, including those who have so far been left out. For example, according to a recent McKinsey study, Black Americans are 10% more likely to be working jobs slated for AI automation. In addition, the same study anticipates that AI will disrupt 4.5 million jobs for Black workers. This disruption has the potential to impact billions of dollars in Black economic potential and growth. If current trends hold, the new wealth created by GenAI alone will increase the racial wealth gap by $43 billion annually, according to McKinsey.

We have already seen firsthand how the rapid adoption of technology can exacerbate gaps and create new divides. One only needs to look at the creation and adoption of computers and the internet. In 1987, economist Robert Solow famously claimed that “you can see the computer age everywhere but in the productivity statistics.” Today, we almost take for granted how much productivity the digital age has brought. But, that digital age has also created a digital divide, which exacerbates racial economic gaps. And, one of the legacies of failing to address this digital divide and ensure broadband access to Black and other communities without access to resources and opportunities has been limited engagement with these tools.

How to prevent the another wealth gap

As we stand at the beginning of this next revolution in AI and its early waves of value creation, our urgent task is to prevent another gap. We can do that by empowering all people to take part and be leaders in this evolving field, allowing our economy to reap greater benefits. That begins with infrastructure that supports AI enablement for all, including education on AI tools, access to the internet and power to compute.

One model for this is the work being done by Student Freedom Initiative (SFI). As a first step, we must commit to eliminating the existing digital broadband divide. SFI has been working hard to close the digital divide in Black communities, including Historically Black Colleges and Universities (HBCUs), 82% of which reside in broadband deserts. This is a critical gap that must be closed to provide the next generation of diverse leaders with the resources, education and technical access needed to master this evolving tech.

We must also double our efforts to provide education around these tools. A combination of critical thinking and technical skills is increasingly becoming a prerequisite for effectively interacting with GenAI. Our education system, particularly secondary and higher education institutions, must play a key role in equipping students with these essential skills.

In partnership with Stats Perform, a global leader in AI solutions for the sports industry and a portfolio company of my global investment firm, Vista Equity Partners, SFI launched an “AI in Basketball” course at Morehouse College last year. This course provided hands-on instruction in AI-use cases, which helped prepare those students to be leaders in this field. It also offered students internship opportunities to use what they learned in a real-world setting, allowing them to build experience and competitive resumes for AI careers. Soon, we will be expanding these courses to other HBCUs, creating on-ramps to this growing industry. 

Another notable example of this is the work being done at internXL, which offers opportunities like free training and certifications in artificial intelligence, data science, and machine learning, including access to over 500 AI training courses. The internXL initiative also connects highly-qualified HBCU students with AI experts and employers for internships, enabling them to gain practical experience in the field. And internships are critical – studies show that an internship at a hiring organization, or in the same field, are among the highest differentiators used in choosing between qualified candidates. This work is bridging access gaps and ensuring that underrepresented talent thrives in the rapidly growing and in-demand field of AI.

Finally, we must also ensure widespread access to compute, or processing power, to run these new tools and their applications. If we use the example of smartphones, compute was made possible thanks to telecommunication organizations updating their infrastructure to handle 4G, 5G and LTE – all of which have been underinvested in across Black communities. If we want to fully harness the potential impact of AI on our economy, all communities need to have access to these tools and the infrastructure that underpins the technology. This includes computing power, requisite energy sources, and large language models and other machine learning and reasoning tools.

Economic toll

We know that the racial wealth gap will cost the U.S. economy $1 trillion to $1.5 trillion between 2019 and 2028. Imagine what it would mean for the economy if we took steps to prevent AI from becoming a new economic wedge, and it, instead, became a prolific source of generational wealth. What if we were able to ensure access to these tools for communities around the globe? So long as we take appropriate steps to prevent these tools from mimicking and reinforcing racial biases, the innovation and economic growth this would spur has the potential to close many gaps, generating prosperity for all.

With AI’s current trajectory, there will be three distinct waves of opportunity through which value will be captured. We are already seeing the first wave of value creation benefiting hardware vendors. The second wave will go to super scalers like Microsoft, Google, Oracle and other large companies that have the ability to broadly offer connectivity to compute. The third wave will benefit enterprise software vendors who provide AI and GenAI solution sets on top of their existing products. These are three distinct verticals where we must focus our equity efforts to impact the long-term growth of AI and GenAI.

The good news is that, unlike the digital revolution, we have the luxury of foresight. As AI evolves and established companies and new start-ups scale products, develop features and capture value at each stage, we must commit ourselves to ensuring that everyone has access to the incredible benefits of AI. If we fall short, we will not be equipped, nor able, to fully harness and unlock its potential. As we stand at these crossroads, we must think expansively and act decisively to ensure we build the infrastructure to support AI and GenAI enablement.

Robert F. Smith is the founder, chairman and CEO of Vista Equity Partners. He serves as chairman of Student Freedom Initiative (SFI) and Carnegie Hall, founding director and president of the Fund II Foundation and co-lead of Southern Communities Initiative (SCI). In 2019, Smith eliminated the student debt of approximately 400 Morehouse College graduates and was named one of TIME 100’s Most Influential People in 2020.

Economics

UK Has a New Prime Minister Without a General Election

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UK Has a New Prime Minister Without a General Election

On July 20, Andy Burnham has been chosen to be the next Prime Minister in UK. The appointment of a new Prime Minister in the United Kingdom often raises questions from people outside the country, especially when no nationwide election has taken place. Many wonder how a new national leader can assume office without voters casting ballots. The answer lies in the UK’s parliamentary system, where the Prime Minister is not directly elected by the public but is instead chosen based on who commands the confidence of the House of Commons.

How the UK Selects Its Prime Minister

Unlike presidential systems where citizens vote directly for the head of government, the United Kingdom elects Members of Parliament (MPs) during a general election. The political party that secures a majority of seats in the House of Commons usually forms the government, and that party selects its own leader to serve as Prime Minister.

If the leader resigns, becomes unable to continue, or is replaced by their party, the governing party can choose a new leader without triggering a general election. As long as the new leader is able to maintain the confidence of Parliament, they can immediately become Prime Minister after being formally appointed by the monarch.

Why No Election Was Required

A general election is not automatically required every time the office of Prime Minister changes hands. The governing party retains its parliamentary majority because voters elected MPs rather than an individual Prime Minister. If the ruling party chooses a new leader through its internal leadership process, the government continues to operate without interruption.

This constitutional arrangement provides stability and allows the government to continue functioning during periods of political transition. It also avoids the expense and disruption of holding a nationwide election every time party leadership changes.

The King’s Constitutional Role

After a governing party elects a new leader, the monarch invites that individual to form a government. This constitutional step is largely ceremonial and follows long-established conventions. The King appoints the person most likely to command a majority in the House of Commons, ensuring continuity of government.

Although the monarch formally appoints the Prime Minister, political power rests with Parliament and the elected representatives of the British people.

Could an Election Still Happen?

Yes. A newly appointed Prime Minister has the authority to request a general election if they believe it is politically advantageous or if they seek a stronger public mandate. Parliament can also reach a point where a government loses the confidence of the House of Commons, potentially leading to an election or the formation of a new government.

In many cases, however, a new Prime Minister continues governing until the next scheduled general election.

What This Means for the UK

The UK’s parliamentary democracy is designed to ensure government continuity while respecting the results of the most recent general election. Leadership changes within the governing party do not automatically alter the composition of Parliament, which is why a new Prime Minister can take office without another nationwide vote.

Understanding this process helps explain why political transitions in the United Kingdom can appear different from those in countries with presidential systems. While the Prime Minister may change, the democratic mandate of Parliament remains in place until voters elect a new House of Commons at the next general election.

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Economics

Global Grid Upgrades Reshape Macro Economics

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Global grid upgrades reshape macro economics

On July 21, 2026, global economic analysis shifts focus toward a defining structural macroeconomic trend: the massive expansion of public and private capital deployment into high-capacity electrical grid infrastructure. As industrial electrification, automated data center hubs, and renewable energy integration accelerate worldwide, sovereign governments and institutional investors are facing a monumental economic challenge. Updating legacy power grids to meet skyrocketing demand has emerged as a primary driver of long-term capital expenditures and industrial productivity across both developed and emerging market economies.

According to international economic policy updates released this week, grid infrastructure investments are projected to exceed multi-trillion-dollar thresholds over the coming decade. Economic planners caution that without modernized, high-voltage transmission networks, regional manufacturing sectors face severe energy bottlenecks, localized power price volatility, and operational constraints. Consequently, infrastructure spending is rapidly transitioning from passive utility maintenance into a vital component of national economic competitiveness and industrial policy.

The macroeconomic ripple effects of this capital deployment are being felt across global commodity markets and labor networks. High demand for structural industrial inputs—such as copper, aluminum, specialized electrical steel, and high-capacity transformers—has created sustained pricing support for critical material producers. Simultaneously, the specialized technical labor required to manufacture and deploy modern grid hardware is driving wage growth in industrial sectors, adding a complex new layer to central bank disinflation trajectories.

For global policymakers and strategic investors, the economics of energy grid modernization represent a double-edged sword. While massive infrastructure investment boosts short-term gross domestic product (GDP) and strengthens domestic industrial foundations, it requires disciplined fiscal allocation to prevent inflationary crowding-out of private capital. Countries that efficiently streamline grid infrastructure permitting and mobilize private investment will secure lower long-term energy costs, attracting high-tech manufacturing and reinforcing sustainable economic growth.

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Economics

Global Trade Realignment and Supply Chains in 2026

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Global Trade Realignment and Supply Chains in 2026

The international trade architecture entering the second half of 2026 is undergoing a profound structural pivot. As major sovereign economic blocs adjust to the long-term impact of unilateral tariffs and escalating regional subsidies, traditional globalized supply chains are being rapidly replaced by bilateral trade corridors and regional alliance networks. Data released in late July 2026 highlights a significant divergence: while cross-continental freight volumes between non-aligned partners have cooled, intra-regional trade throughout North America, Southeast Asia, and Eastern Europe has surged to record levels. This shift reflects a broader macroeconomic strategy wherein multinational corporations prioritize geopolitical resilience over pure cost minimization.

The primary economic catalyst behind this regionalization is the proliferation of sector-specific tariffs targeting critical industries, notably battery components, clean energy technology, and advanced semiconductor hardware. In response, global manufacturers have adopted multi-tier sourcing models that distribute production across intermediate partner nations before final assembly. While this strategy successfully bypasses primary import duties, it adds structural layers of logistical complexity and administrative oversight. Economists note that while total output remains robust, aggregate production costs have drifted upward, contributing to persistent baseline inflation across major consumer markets.

Simultaneously, currency settlement patterns within these regional blocs are experiencing a notable transformation. Sovereign central banks and commercial institutions are increasingly utilizing localized currency swap lines and digital clearing mechanisms to settle cross-border trade transactions. This transition reduces direct exposure to foreign exchange volatility and mitigates third-party liquidity constraints, further solidifying regional economic cohesion. However, for developing economies situated outside these primary trading alliances, the tightening of international trade networks presents severe challenges, restricting access to key export markets and foreign direct investment.

For corporate strategists and policy analysts navigating late 2026, success requires a thorough understanding of these emerging trade corridors. Organizations must conduct regular risk assessments of their multi-tier supplier networks, model tariff sensitivities under shifting geopolitical scenarios, and invest in real-time supply chain telemetry. As regional economic blocs strengthen their regulatory borders, supply chain agility and compliance fortitude will distinguish market leaders from vulnerable enterprises in the evolving global economy.

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