Microsoft is carrying out one of the most consequential leadership restructurings in Xbox’s recent history as the technology giant attempts to revive growth in its gaming division while repositioning the business for an industry increasingly shaped by artificial intelligence, subscriptions, and cloud infrastructure rather than traditional console sales.

The internal shakeup, outlined in a memo sent Tuesday by newly appointed Xbox CEO Asha Sharma, reflects mounting pressure on Microsoft to prove that its gaming ambitions can generate sustained momentum after years of inconsistent performance, weakening hardware sales, and intensifying competition from rivals.

“We need to evolve how we work and how we are organized across our platform,” Sharma wrote in the memo viewed by CNBC.

“Right now, it is too hard to ship impact quickly. We spend too much time inward instead of with the community, and we lack the depth we need in some of the fundamentals,” she added.

The language of the memo points to deeper structural frustrations inside Xbox, where executives increasingly appear concerned that the organization has become too slow-moving and internally fragmented at a time when the gaming business is undergoing rapid technological transformation.

The overhaul comes after Microsoft reported its fourth gaming revenue decline in six quarters, underscoring persistent difficulties in regaining momentum even after its blockbuster acquisition strategy and years of heavy investment in content, subscriptions, and cloud gaming.

The performance gap with competitors has remained stark. According to data from video game tracking site VGChartz, Nintendo’s Switch and Switch 2, alongside Sony’s PlayStation 5, continued to significantly outsell Microsoft’s Xbox Series X and Series S consoles during the first quarter.

That disparity has reinforced concerns among analysts that Xbox’s hardware business is steadily losing cultural relevance as gamers gravitate toward stronger exclusive content ecosystems and more deeply entrenched consumer brands. The restructuring also highlights Microsoft’s growing belief that the future of gaming may depend less on consoles themselves and more on AI-driven software ecosystems, subscription services, and cloud-based experiences.

Sharma’s own background pinpoints that pivot. She only moved into Xbox leadership in February after serving as president of product within Microsoft’s CoreAI engineering group, where she worked on developer-focused AI tools, including GitHub Copilot and Visual Studio Code. Her arrival followed the retirement announcement of longtime gaming chief Phil Spencer, who spent years positioning Xbox around subscriptions and cloud gaming rather than traditional console wars.

Now, Sharma is importing a wave of AI, growth, and platform executives directly into the gaming division.

Among the most significant appointments is Jonathan McKay, a former executive at Meta who later led growth initiatives for ChatGPT at OpenAI. McKay will become Xbox’s new head of growth, signaling Microsoft’s intention to apply Silicon Valley-style engagement and user-retention strategies more aggressively inside gaming.

The appointment notably suggests Xbox increasingly views itself not merely as a gaming brand, but as a digital consumer platform competing for attention in the broader subscription economy.

Microsoft is also bringing in Jared Palmer, formerly a senior GitHub executive and product leader in the CoreAI organization, to oversee product, engineering, developer tools, and infrastructure. Palmer previously worked at Vercel after selling developer-tool startup Turborepo in 2021.

Sharma said Palmer would focus not only on engineering execution but also on “taste,” a phrase that hints at Microsoft’s recognition that Xbox has struggled to maintain the cultural excitement and product identity enjoyed by rivals like Nintendo and PlayStation.

Tim Allen, another former CoreAI and GitHub executive, will lead Xbox’s design organization after previously serving as head of design and research at Instacart.

Meanwhile, David Schloss will take charge of Xbox’s subscription and cloud business, reinforcing how central recurring digital services have become to Microsoft’s gaming ambitions.

The emphasis on subscriptions is critical because Xbox Game Pass now sits at the heart of Microsoft’s gaming strategy. Rather than relying primarily on hardware profits, Microsoft is attempting to build a Netflix-style gaming ecosystem that locks users into long-term digital consumption across consoles, PCs, and cloud streaming platforms.

Yet growth in Game Pass has slowed in recent quarters, and analysts increasingly question whether the model can fully compensate for weakening console sales and rising development costs.

The company has also faced growing pressure following its $69 billion acquisition of Activision Blizzard, one of the largest deals in technology history. Investors expected the acquisition to accelerate Xbox growth and strengthen Game Pass adoption, but Microsoft has yet to demonstrate the kind of explosive expansion many shareholders anticipated.

Additionally, the economics of gaming are becoming more difficult across the industry. Blockbuster game development budgets now routinely exceed hundreds of millions of dollars. Consumer attention is fragmenting across mobile games, creator-driven platforms, and live-service ecosystems. Meanwhile, younger players increasingly prioritize cross-platform accessibility and online communities over loyalty to specific consoles.

Microsoft appears to believe artificial intelligence can help address some of those pressures. The arrival of executives from GitHub Copilot, OpenAI, and CoreAI suggests Xbox is preparing to integrate AI much deeper into game development, software operations, personalization systems, and user engagement strategies.

Analysts believe AI could eventually transform how games are created, tested, and updated, dramatically reducing production timelines while enabling more adaptive gameplay experiences and automated content generation.

The restructuring also points to a broader identity shift inside Microsoft itself. Under CEO Satya Nadella, the company has increasingly blurred the lines between its consumer products, cloud infrastructure, and AI businesses. Xbox is no longer being treated as a standalone entertainment division. Instead, it is becoming part of a much larger ecosystem centered on subscriptions, AI services, developer tools, and cloud computing.

The departure or transition of longtime Xbox veterans such as Kevin Gammill and Roanne Sones, both of whom spent roughly 24 years at Microsoft, further illustrates the scale of the cultural shift underway. The new leadership team is composed less of traditional gaming executives and more of platform strategists, AI operators, and growth specialists.

That transition may ultimately define whether Xbox can reinvent itself for the next era of digital entertainment.

The European Commission has begun assessing the potential risks posed by Anthropic’s controversial AI model Mythos, signaling that European regulators are increasingly alarmed about how advanced artificial intelligence systems could destabilize financial networks and accelerate cyberattacks against critical infrastructure.

European Economic Commissioner Valdis Dombrovskis said Monday that European Union officials had already held discussions with Anthropic and received technical briefings about the model’s cyber capabilities as authorities weigh whether existing EU regulations are sufficient to address the emerging risks.

“The commission representatives met with Anthropic and was briefed on technical details around cyber capabilities and the risk of this Mythos preview, so we are currently assessing possible implications in light of the EU policies and legislation,” Dombrovskis told reporters.

The comments mark one of the clearest indications yet that European policymakers are moving beyond theoretical debates about artificial intelligence and beginning to confront what regulators increasingly view as immediate operational and national security risks tied to advanced AI systems.

Anthropic’s Mythos model, which cybersecurity experts say is capable of identifying vulnerabilities in software code at unprecedented speed and scale, is at the center of those concerns. Security researchers fear such systems could dramatically compress the timeline between the discovery of software flaws and their exploitation by malicious actors.

Traditionally, hackers often required weeks or months to weaponize newly discovered vulnerabilities. Advanced AI systems, however, are increasingly believed capable of automating large parts of that process, potentially enabling sophisticated attacks within hours of a flaw becoming public.

That shift is raising alarm across governments, banks, and critical infrastructure operators globally. European regulators appear especially focused on the financial sector, where the growing integration of AI into banking operations is expanding the potential attack surface for cybercriminals and hostile state actors.

Although Mythos has not yet been made available to European banks, officials appear concerned that the technology’s capabilities could still indirectly influence the threat environment by empowering hackers, ransomware groups, or state-backed cyber operations targeting financial institutions.

The scrutiny also comes as the European Union aggressively expands its oversight of artificial intelligence under its landmark AI Act, which introduces some of the world’s strictest rules governing high-risk AI applications.

Under the framework, systems deemed capable of threatening public safety, financial stability, or critical infrastructure could face heightened transparency, compliance, and risk-management obligations.

European authorities are increasingly trying to determine whether frontier AI models with offensive cyber capabilities should fall into those categories.

The discussions with Anthropic are also seen as part of a global shift in regulatory thinking. For much of the past two years, policymakers focused primarily on issues such as misinformation, copyright disputes, and labor disruption linked to generative AI. More recently, however, attention has rapidly pivoted toward cybersecurity and systemic infrastructure risk.

Banks in particular have become a central point of concern. Financial institutions operate massive interconnected digital ecosystems containing sensitive consumer data, payment systems, and real-time transaction infrastructure. A highly capable AI-assisted cyberattack targeting those systems could potentially trigger cascading disruptions far beyond a single institution.

Regulators in several jurisdictions have already begun quietly reassessing cyber response frameworks as AI models become more advanced. In the United States, cybersecurity officials are reportedly considering dramatically shortening deadlines for patching critical software vulnerabilities amid fears that AI-powered hacking systems could sharply accelerate exploitation timelines.

Meanwhile, financial institutions globally are racing to test their own defensive AI systems while simultaneously restricting employee access to certain external models over data security concerns.

The growing unease surrounding Mythos illustrates a broader paradox emerging in the AI race. The same technologies being marketed as productivity breakthroughs for coding, automation, and enterprise software development are also creating entirely new categories of cyber risk.

That tension is becoming especially pronounced in Europe, where regulators have historically taken a more cautious approach toward large technology platforms and data governance than their American counterparts. The European Commission’s engagement with Anthropic suggests Brussels does not intend to remain passive as frontier AI systems evolve into increasingly powerful cyber tools.

The scrutiny appears to foreshadow tougher oversight requirements around model deployment, capability disclosures, and access restrictions, particularly for systems capable of offensive cybersecurity applications. It is also seen as another sign that the AI boom is rapidly becoming inseparable from the next phase of the global cybersecurity arms race.