Welcome to this week’s NexaQuanta newsletter, where we bring you the most important developments shaping the future of artificial intelligence, enterprise technology, and digital transformation. Our goal is simple: help leaders, builders, and decision-makers stay informed without the noise.
This week’s highlights:
- IBM Opens Global RFP for AI in Education and Workforce Development – Driving AI solutions to bridge the skills gap and modernise learning and workforce systems.
- Google Cloud Expands AI Footprint in Telecom With Liberty Global Deal – Enhancing network operations and AI-driven services across Europe.
- Amazon’s $200 Billion AI Spending Signals Escalation in Big Tech Race – Doubling down on AI infrastructure to secure long-term industry leadership.
- OpenAI Introduces Frontier to Help Enterprises Build and Manage AI Agents – a platform for deploying, controlling, and scaling AI agents efficiently.
IBM Opens Global RFP for AI in Education and Workforce Development
What’s happening
IBM has launched a global Request for Proposals under its IBM Impact Accelerator. The program invites nonprofits, government bodies, and academic institutions to build AI-driven solutions for education and workforce development.
Why it matters
The skills gap is widening fast. IBM research shows 67% of executives believe job roles are becoming shorter-lived. By 2030, 57% expect current workforce skills to become obsolete. Slow transitions from education to work are costing the U.S. economy over $1 trillion each year.
The challenge
Many education and workforce institutions lack the data infrastructure and AI tools needed to adapt. This leads to skills mismatches, unclear career pathways, and limited modernisation across public systems.
What IBM is supporting
The new cohort will focus on AI-powered teaching tools, personalised learning and career guidance, and data platforms that connect learners to real job opportunities. Responsible AI governance and forecasting will also be key areas of work.
What selected organisations receive
Participants will get a two-year pro bono technology and implementation grant. This includes access to IBM watsonx, Granite AI models, IBM Cloud, Red Hat open-source technologies, and support from IBM experts. EY will also support the initiative.
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Google Cloud Expands AI Footprint in Telecom With Liberty Global Deal
Strategic partnership
Google Cloud has signed a five-year strategic agreement with Liberty Global, marking a significant expansion of its AI capabilities in the telecom sector. The deal strengthens an existing relationship between the two companies.
AI across telecom operations
As part of the partnership, Liberty Global will deploy Google’s Gemini AI models and cloud tools across its networks. These capabilities will be used to improve customer automation and enable AI-powered search and discovery on the Horizon TV platform.
Consumer and regional expansion
Google products, including Pixel smartphones, smartwatches, and smart home devices, will be distributed through Liberty Global’s operations in the UK, Netherlands, Switzerland, and Belgium.
Network and security impact
The collaboration is expected to enhance network security, reliability, and autonomous network operations, while simplifying complex processes through advanced cloud infrastructure.
Business and data opportunities
Small-business customers will gain access to AI, cybersecurity, and cloud-based services. The partnership will also explore monetising telecom data while maintaining strong privacy protections.
Industry context
The deal reflects a wider trend of technology firms partnering with telecom operators to accelerate AI adoption, 5G, and fibre-based innovation.
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Amazon’s $200 Billion AI Spending Signals Escalation in Big Tech Race
A massive investment push
Amazon has announced plans to spend $200 billion in 2026 on data centres, satellites, and other large infrastructure projects as it doubles down on artificial intelligence. The figure exceeded Wall Street expectations by nearly $50 billion.
Strong results, rising concerns
The announcement followed a strong holiday quarter, but the scale of spending has raised concerns among investors. Many fear that returns from large AI infrastructure investments could take years to materialise.
Part of a broader trend
Amazon’s move is not happening in isolation. Alphabet has disclosed plans to spend up to $185 billion this year, while Meta recently said its capital expenditures could reach $135 billion, largely driven by AI needs.
Why it matters
The figures highlight how aggressively major technology firms are competing to secure AI infrastructure. Despite market caution, Big Tech appears unwilling to slow investment, signalling that AI leadership is now seen as critical to long-term growth.
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OpenAI Introduces Frontier to Help Enterprises Build and Manage AI Agents
A new layer for enterprise AI
OpenAI has launched OpenAI Frontier, an end-to-end platform designed to help enterprises build, deploy, and manage AI agents. The company positions agent management as core infrastructure for scaling AI across organisations.
Open and controlled by design
Frontier is an open platform that allows enterprises to manage AI agents built both within and outside OpenAI’s ecosystem. Agents can connect to external data sources and applications, while enterprises retain control over access, permissions, and task boundaries.
Managing agents are like employees
OpenAI says Frontier mirrors how companies manage human teams. The platform includes agent onboarding, defined roles, and feedback loops that help agents improve over time, similar to performance reviews.
Early enterprise adoption
OpenAI listed HP, Oracle, State Farm, and Uber as early enterprise users. Frontier is currently available to a limited group, with a broader rollout planned in the coming months. Pricing details have not yet been disclosed.
A crowded but critical space
Agent management has become a key battleground in enterprise AI. Salesforce, LangChain, and CrewAI already offer competing solutions. Gartner has described agent management platforms as essential infrastructure and “the most valuable real estate in AI.”
Why it matters
The launch reinforces OpenAI’s push toward enterprise adoption in 2026. Combined with recent deals with ServiceNow and Snowflake, Frontier signals OpenAI’s intent to become a long-term platform player in enterprise AI.
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Conclusion
AI adoption is accelerating, and the decisions being made today will define how businesses compete tomorrow. Subscribe to NexaQuanta’s weekly newsletter to stay ahead with curated insights, clear analysis, and updates that matter for enterprise AI and digital strategy.