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The DEI Dilemma: Uniting Or Dividing America?

Diversity, equity, and inclusion (DEI) initiatives, once seen as a cornerstone of workplace transformation, are now facing mounting resistance in boardrooms, state legislatures, and college campuses across the United States. Once lauded for their role in fostering inclusivity and fairness, these programs have become a battleground for ideological and political conflicts.

Since 2023, 81 anti-DEI bills targeting higher education programs have been introduced across 28 states and in Congress, according to the Chronicle of Higher Education. Eight of these have been signed into law in states such as Texas and Florida.

A 2023 Pew Research Center survey revealed that over half of employed U.S. adults (52%) reported participating in DEI training or meetings at work, with 33% noting the presence of dedicated DEI staff. However, a growing number of companies are dismantling DEI-focused teams, scaling back efforts, and questioning the necessity of such programs.

Prominent figures like billionaire investors Bill Ackman and Elon Musk have publicly criticised DEI, calling it discriminatory. Musk went as far as labelling DEI “another word for racism,” asserting it unfairly prioritises certain groups over others. Tesla, owned by Musk, recently removed all mentions of minority-focused initiatives from its regulatory filings.

What Is DEI, And Why Was It Introduced?

DEI encompasses three key pillars:

  • Diversity refers to embracing differences in race, gender, age, religion, sexual orientation, and other identities.
  • Equity focuses on fair treatment and equal opportunities.
  • Inclusion seeks to create environments where individuals feel valued and empowered to contribute their unique perspectives.

Daniel Oppong, founder of The Courage Collective, explains that DEI programs emerged to address systemic inequalities, particularly in workplaces where marginalised communities often lacked opportunities. “These initiatives aim to create environments where everyone has the chance to thrive,” he said.

A Brief History Of DEI

The roots of DEI can be traced to the Civil Rights Movement and landmark legislation like the Civil Rights Act of 1964, which outlawed workplace discrimination. Over time, these efforts evolved into structured DEI programs.

Yet, the momentum behind DEI has ebbed and flowed. In the 1980s, corporate deregulation led to a decline in diversity initiatives, but the murder of George Floyd in 2020 reignited calls for action. Between 2019 and 2022, LinkedIn data shows the number of Chief Diversity Officer roles skyrocketed by nearly 169%.

However, sustaining these initiatives has proven challenging. Many companies implemented DEI in a “piecemeal” fashion without adequate resources or commitment, leading to burnout among DEI professionals. Dominique Hollins, founder of the consulting firm WĒ360, notes that some businesses prioritised appearances over meaningful change. “It gave the illusion of commitment without the groundwork to sustain it,” she said.

A Shifting Corporate Landscape

Today, even as DEI supporters highlight its importance, many organisations are retreating from these commitments. High-profile layoffs in DEI teams at tech giants and other firms underscore the waning enthusiasm. The post-pandemic economic climate, coupled with political scrutiny, has placed DEI under the microscope.

This rollback doesn’t sit well with all leaders. Billionaire businessman Mark Cuban has defended DEI, arguing that diverse teams are not just ethical but also critical for business success. “The loss of DEI-phobic companies is my gain,” Cuban said.

Higher Education: The New Frontline

Colleges have become a focal point in the DEI debate, with state lawmakers pushing to restrict or eliminate DEI initiatives. For instance, the University of Florida recently disbanded its Chief Diversity Office to comply with state regulations. Critics argue these moves could leave students unprepared for an increasingly diverse workforce.

Ella Washington, a professor at Georgetown University, emphasises the importance of diversity in education: “Colleges are microcosms of the world. Fostering equity and inclusion on campuses teaches the next generation how to lead in a global society.”

What’s Next For DEI?

As DEI programs face growing opposition, questions remain about their future. While some see these initiatives as critical for fostering innovation and inclusivity, critics frame them as politically motivated and divisive.

Despite the growing opposition, workplace support for DEI remains strong. According to a 2024 Ipsos poll, 67% of respondents reported working in organisations that provide DEI training or resources, with 71% affirming that such initiatives are essential for fostering a positive workplace culture.

The road ahead for DEI will likely be turbulent, with companies and institutions forced to balance competing pressures. As Dominique Hollins puts it, “The challenge isn’t whether DEI is needed—it’s whether we’re willing to commit to real, sustainable change.”

Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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