Google rolled out multiple new AI features today for its core Workspace products: Google Docs, Sheets, Slides, and Drive. These apps now include additional tools powered by Gemini, Google’s AI assistant. The features range from generating entire rough drafts in your Docs to finding information tucked away in the recesses of your Drive.

This Google launch is part of a larger trend in 2026, in which major software developers are continuing to bake generative-AI-based features into core user experiences—despite the lingering distaste many in the US have for tools like these. The features are coming first to English-speaking subscribers of Google’s AI Pro and Ultra plans.

For Docs, Google added “Help me create,” which attempts to generate full first drafts of your document, from a prompt, by looking at your emails and files, and searching the internet for context. This feature takes the existing “Help me write” feature in the Chrome browser even further and points to a future where humans rely on AI to craft their thoughts and share ideas with others.

Sheets and Slides both can now create similar full first drafts by pulling from information on the web and your past data. Another new, notable feature in Docs enables users to mimic the structure of past files when starting a new project. Also, Drive now includes AI Overviews of your files and more natural language searching abilities.

My tests primarily focused on the new tools in Google Docs, where I have the most familiarity. To start, I asked Gemini to draft an itinerary for some St. Patrick’s Day shenanigans. In just a few seconds, Gemini combed through my Gmail and the web to put together a short plan. I was a little creeped out when the bot correctly looked up my flight reservations to see what city I’d be located in on March 17. It also tacked on a few well-known Irish pubs where I could grab a pint of Guinness. Overall, the results of this test were quick and solid.

Now let’s raise the stakes. How convincing a first draft could Gemini generate for my job as a software reporter? WIRED’s editorial standards block the use of generative AI, rightly so, except in situations where it’s disclosed and used as an example. Rest assured, everything you’re reading here was scribbled into my notebook before being typed up.

Other digital media outlets may not have rigorous standards around AI use, and tools like “Help me create” could be forced onto early-career journalists expected to pump out numerous stories each day. I attached the press materials Google provided about today’s launch and requested a 600-word hands-on story from Gemini, with first-person insights that could help readers better understand the launch.

Render Networks has made further expansion of its footprint as a system of execution for critical infrastructure with the ClearWay platform.

As infrastructure investment accelerates across fibre broadband, electric grid modernisation, distributed energy and AI-driven datacentre expansion, capital discipline has emerged as a defining concern, according to the company.

Render has stated that traditional methods of data analysis and manual decision-making often hamper progress, with deployment risk now consequentially translating directly into capital risk. It added that operators, utilities and builders must reduce variance, accelerate cash conversion and establish audit-grade accountability across increasingly complex, multi-asset deployments.

Originally establishing itself in telecommunications, Render now supports electric utilities and multi-utility environments where construction accuracy is a prerequisite for operational reliability. Built for infrastructure environments where governance is “non-negotiable”, ClearWay is claimed to advance automation without eroding engineering authority.

The new platform is built to transform design data into live scopes of work, to capture verified field progress in real-time and to econcile workflows to maintain financial integrity. This is seen as producing defensible as-built records that flow “seamlessly” into operations. Rather than a collection of isolated AI features, ClearWay is said to operate across a federated system of specialised agents designed to operate autonomously in identity, policy and audit controls.

Each agent operates with a uniquely defined degree of autonomy, managed identity and least-privilege access. As additional ClearWay agents are introduced, the system is built to support progressively higher levels of autonomy, bounded by deterministic guardrails derived from user-defined operational policies. The result is that decision-making choices are underpinned by controlled, auditable automation that preserves first-order accountability while also enabling meaningful scale.

The first release of ClearWay scheduled for release in the second quarter of 2026 and is scheduled to introduce field assurance and work approval capabilities across telecom and electric deployments with an assurance agent and approval agent.

The former is said to validate field-captured evidence against planned work in real-time, ensuring accuracy before crews leave the site. By contrast, the latter approves work autonomously based on a correlation of work type, planned vs. actual units, photos, and test results. When predefined criteria are met, the agent processes the approval and escalates exceptions only when human review is required.

By ensuring work is correct and defensible at the point of execution, Render is confident that ClearWay can accelerate design to build lead times, reduce construction rework, accelerate closeout and improve working capital velocity. This will be “particularly vital” in broadband and grid modernisation environments, where construction accuracy directly affects serviceability, network reliability and regulatory compliance.

“We have always focused on ensuring that work in the field becomes verified operational truth. The next step is ensuring that truth drives disciplined, governed and rapid action across the lifecycle,” said Stephen Rose, CEO of Render Networks.

“As capital efficiency becomes central to telecom and electric infrastructure, automation must ensure rapid decisions are made well to reinforce control and accountability. ClearWay is designed to do exactly that.”

Render will introduce additional specialised agents in the ClearWay architecture, spanning lifecycle management and financial reconciliation, service activation and operational monitoring, and predictive maintenance and sustainability governance.

Two years after it proposed the transition from the mobile internet era to the mobile artificial intelligence (AI) era, leading to the rapid adoption of agents in B2B applications and 30 million agents applied over the past 12 months, Huawei has introduced the Agent Verse, predicting a 10,000-fold increase in agent-handled work in networks by 2030.

The proposal of a new paradigm for communications came on the back of the comms tech giant’s Agentic Core Summit at MWC 2026, which centred on the strategic theme of building an agentic network with device-network-service synergy.

At the summit, Huawei revealed that it had worked with global mobile trade association the GSMA and a range of operators and industry organisations across the Middle East, Asia Pacific, Europe, Latin America and other regions to explore AI-driven advancements for the core network. Together, they unanimously agreed that the 5G core network has entered into “a new phase” called the Agentic Core.

Huawei’s Agentic Core system integrates AI into mobile internet, voice, operations and maintenance (O&M) and telco cloud infrastructure to allow networks to evolve and main service offerings to be reshaped. Huawei sees AI as extending a core network with three “transformative” abilities: real-time experience awareness; global experience evaluation and resource coordination; and intelligent interaction and execution.

This architecture is designed to give rise to a “network brain” that drives a closed-loop experience monetisation model where experiences are definable and assessable, service offerings are marketable, quality is guaranteed and exclusive user identities are perceptible.

The intelligent O&M part of the solution is built to  transform network operations into an automated and intelligent ecosystem, driving the core network toward Autonomous Network (AN) L4 Phase 2. Phase 1 focuses on the intelligent assistant, NOEMate, which delivers automated closed-loop management for both faults and changes. Building on this, Phase 2 introduces hierarchical autonomy and builds an unmanned factory, achieving full single-domain autonomy within the core network.

Looking toward the 6G era, Huawei Agentic Core also supports ubiquitous AI agent access, building an agent-based communication network that spans across devices and ecosystems. The Cloud Core Network is designed for an evolving communication infrastructure that will act as an interchange for AI agent network.

And these, said Huawei Eric Zhao, vice-president and CMO of Huawei’s wireless solution, would operate in the Agent Verse: “Mobile AI is sparking a paradigm shift across the communications industry. With a trillion-scale surge in Agent Verse connections on the horizon, mobile networks need an urgent upgrade.

“To unlock the full potential of 5G-Advanced, the industry should accelerate end-to-end upgrades and innovation, building multidimensional network capabilities that can meet the demands ahead.”

At MWC, Huawei argued that agents were reshaping mobile network demands – for example, by evolving into engines of industrial automation and broad societal change. It offered the example of productivity agents making fully automated manufacturing possible through autonomous learning and the precise coordination of thousands of robots. It calculated that by 2030, the global market is expected to reach trillions of intelligent connections worldwide.

Zhao added: “AI’s development has gone wide and far beyond our imagination, and it is now becoming clear that the application of AI will be [through] agents. We believe that in the future, every industry, terminal, organisation and individual will be served by agents – and this is why we propose the Agent Verse. Just in last year alone, there was 30 million agents applied in different industries, significantly improving the productivities of verticals; the adoption pace of agents is incredibly fast.

“It is estimated that by 2030, the amount of work handled by agents will grow by 10,000 times. Agents adoption means the introduction of changes in communication methods and communication objects. That means, in the future, agents will introduce new interactions, agents will interact with people, agents will interact with agents. This is why we think that the time has changed and the wireless industry needs to be prepared to welcome new services.”