Welcome to this week’s NexaQuanta newsletter, where we bring you the most relevant developments shaping the global AI and technology landscape. Each edition focuses on updates that matter to businesses, leaders, and decision-makers navigating rapid digital transformation.
In this issue, we cover OpenAI’s new EU AI Blueprint aimed at accelerating enterprise adoption, IBM’s move to strengthen its partner ecosystem for AI-led growth, Microsoft’s launch of its Maia 200 accelerator to reduce AI inference costs, and new Gallup data highlighting how quickly AI is becoming part of everyday work in the United States.
Together, these updates reflect how AI strategy, infrastructure, and workforce adoption are evolving across markets.
OpenAI Launches EU AI Blueprint 2.0 to Drive Business Adoption
OpenAI has introduced its EU Economic Blueprint 2.0, a new framework to accelerate the adoption of artificial intelligence across European businesses and governments.
The initiative focuses on reducing the growing gap between AI capabilities and real-world business usage, a challenge OpenAI describes as a key risk to Europe’s long-term competitiveness.
Closing the AI Usage Gap for Businesses
New data shared by OpenAI shows that while the EU uses AI more than the global average, adoption levels vary significantly across member states. Several countries still fall below global benchmarks.
This gap means businesses that fail to integrate AI effectively may miss productivity gains and fall behind in an increasingly AI-driven economy.
The Blueprint encourages structured AI strategies, skill development programs, and national-level tracking of AI adoption to ensure consistent progress.
AI Skills Program for Small and Medium Enterprises
To support practical adoption, OpenAI announced a new SME AI Accelerator in partnership with Booking.com.
The program aims to train 20,000 small and medium-sized enterprises across Europe in applied AI skills. It targets business teams with little or no technical background and will run in key European markets, including France, Germany, Italy, Poland, Ireland, and the UK.
The goal is to help smaller businesses improve efficiency, decision-making, and overall productivity through AI.
Strengthening Responsible AI and Public Partnerships
OpenAI also reaffirmed its commitment to responsible AI by supporting the EU AI Act and launching a €500,000 youth safety research grant focused on digital wellbeing.
In parallel, the company plans to expand OpenAI for Europe in 2026, enabling deeper collaboration with governments on national AI priorities across education, healthcare, cybersecurity, and workforce development.
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IBM Accelerates Partner Plus Program to Boost AI-Led Business Growth
IBM has announced the acceleration of its Partner Plus Program, strengthening its ecosystem strategy as enterprises increase demand for AI-driven solutions.
The update is designed to help partners move faster, scale reach, and deliver measurable business outcomes in 2026.
Expanded Partner Enablement
IBM is introducing new incentives, enhanced benefits, and AI-driven selling experiences to support partner growth.
The program also expands access to co-marketing funding, hyperscaler marketplaces, and IBM Agent Connect, simplifying routes to market.
Stronger Focus on Execution and Revenue Growth
IBM has aligned its coverage model and resources to improve deal velocity and partner collaboration.
The company aims to drive higher volume, faster execution, and sustained revenue growth across its partner ecosystem as AI adoption continues to accelerate.
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Microsoft Introduces Maia 200 AI Accelerator to Lower Inference Costs
Microsoft has announced Maia 200, a new AI inference accelerator designed to improve performance per dollar for large-scale AI workloads.
The chip is built to support growing enterprise demand for faster and more cost-efficient AI model deployment.
Built for Scalable AI Inference
Maia 200 is engineered specifically for AI inference, helping organisations generate AI outputs more efficiently while reducing operational costs.
Microsoft stated that Maia 200 delivers significantly higher performance than existing hyperscaler hardware and is the most efficient inference system currently deployed in its cloud infrastructure.
Integration Across Microsoft AI Platforms
The accelerator will support multiple AI models, including the latest GPT-5.2 models, and will power services across Microsoft Foundry and Microsoft 365 Copilot.
It will also be used internally for synthetic data generation and the development of next-generation AI models.
Azure Deployment and Enterprise Availability
Maia 200 is already deployed in Microsoft’s US Central data center, with additional regions planned.
The accelerator integrates directly with Azure, allowing enterprises to access high-performance AI inference through Microsoft’s cloud ecosystem.
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Gallup Survey Shows Rapid Growth of AI Use in the U.S. Workplace
A new Gallup Workforce survey indicates that artificial intelligence is becoming a regular part of daily work for American employees.
According to the poll, 12% of U.S. workers now use AI daily, while nearly one-quarter use it several times a week, highlighting how quickly AI tools are entering mainstream business operations.
AI Adoption Expands Across Key Industries
AI usage is highest in technology-related roles, where a majority of workers report frequent use. Strong adoption is also visible in finance, professional services, and education, where employees rely on AI for writing, research, data review, and administrative support.
The findings point to AI’s growing role in improving productivity and speeding up routine work across knowledge-based industries.
Limited Job Replacement Concerns
Despite increased usage, most employees do not believe AI will replace their jobs in the near future.
Gallup found that only a small portion of workers expect automation or AI to eliminate their role within the next five years, suggesting that businesses are currently adopting AI primarily as a support tool rather than a replacement for human work.
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