Paul Monckton

Paul Monckton digs into how Google’s products and AI systems work under the hood, turning complex technical changes into clear, concrete explanations for everyday users and industry watchers alike. He writes about technology for Forbes with a particular focus on Google’s ecosystem, browser technology and the fast-changing overlap of AI, privacy and consumer software.

AI agents and the Gemini ecosystem

Monckton’s recent work concentrates on Google’s Gemini platform and the emerging class of AI agents that sit behind familiar services. In his coverage of Gemini Spark, he goes beyond product marketing to examine the code, configuration and system behavior that drive the agent’s “skill” system and task scheduler, showing how discrete capabilities are registered, invoked and coordinated in real time.

He explains how these internal components affect what users actually experience, such as how reliably an agent can break a complex request into subtasks or decide when to call external tools.

Across his AI reporting he treats models, agents and orchestration layers as engineering systems rather than abstractions, spelling out what is happening at process level, how different modules communicate and where bottlenecks or failure modes might lie. He often contrasts high-level promises with the constraints visible in code paths, feature flags and integration points, giving readers a grounded sense of what Gemini and related services can do today versus what is still roadmap. The result is coverage that is useful to technically minded readers who want more than a press-release description of an AI feature.

Browser tracking, privacy and advertising technology

A large part of Monckton’s beat is the web browser, especially Google Chrome, and the way changes to tracking and advertising technology affect users. He follows Chrome’s long transition away from third-party cookies, explaining each milestone in initiatives such as Privacy Sandbox in terms that clarify both the privacy claims and the remaining data flows. When Google ships or delays a change, he sets it in the context of previous commitments, regulatory pressure and the practical impact on browsing behavior.

His browser pieces frequently walk through what changes in areas like fingerprinting protections, ad targeting APIs or security prompts mean in practice: which settings matter, what data is still shared, and what trade-offs users make between functionality and privacy. Rather than treating “tracking” as a vague concern, he details the mechanisms - cookies, local storage, new browser APIs - and how each is being reshaped. This makes his coverage particularly relevant to readers who sit between consumer and professional roles, such as marketers, developers and policy-focused audiences who need to understand both user experience and underlying technology.

Consumer apps, cloud services and hidden features

Beyond AI and browsers, Monckton regularly covers Google’s consumer apps and cloud services, including search, Gmail, Photos and other widely used tools. He often uses individual feature changes or interface updates as an entry point to explain broader shifts in how these services store data, surface recommendations or integrate AI.

When Google tightens or relaxes limits on storage, alters how photos are compressed or changes defaults around data sharing, he highlights the downstream impact on how people back up, organize and access their information.

His stories frequently surface lesser-known capabilities and settings that can materially change how these products behave, from options that reduce data sharing to features that unlock more powerful search or organization inside apps. Instead of simple listicles, he tends to structure these as short explainers: what the feature does, where to find it, what data it touches and why Google might have introduced it at this point. That pattern - tying a practical tip to a larger strategic or technical change - is a recurring hallmark of his coverage.

Security updates, risks and practical guidance

Security runs through much of Monckton’s technology reporting.

He tracks critical updates in Google software and related platforms, explaining which vulnerabilities are being patched, how serious they are, and which groups of users should act most quickly. His pieces often describe how an attack chain works in broad technical terms - such as how a malicious site could exploit a browser bug or how a compromised extension might exfiltrate data - without sliding into jargon, so that non-specialist readers still understand the risk.

Alongside vulnerability coverage, he routinely offers concrete steps users can take: updating software, changing specific settings, reviewing permissions or uninstalling problematic apps or extensions. He is attentive to the point where a security decision turns into a usability trade-off, and he makes those trade-offs explicit rather than assuming readers will accept every restriction.

Taken together, his work in this area shows a consistent emphasis on actionable guidance grounded in real technical behavior, rather than generic warnings.

Format, tone and reporting style

Monckton’s Forbes pieces are typically concise news analyses and explainers rather than long narrative features, but they are detail-heavy where the technical underpinnings matter. He often builds an article around a specific change log, code insight or configuration detail, then connects that technical finding to clear, practical consequences. His tone is direct and literal; he avoids hype around AI and other buzzword-heavy topics, instead focusing on what the software demonstrably does, what has changed since the last update and what users can or should do in response.

While his primary focus is on Google and its ecosystem, his coverage naturally touches adjacent platforms and standards when they intersect with Google’s moves - whether that is how web standards bodies react to Chrome’s proposals or how competing services respond to Gemini and other AI features. Across subjects, he is distinguished less by the surface topic and more by method: start from the code or configuration where possible, explain the system behavior clearly, and translate that into specific implications for product users and stakeholders.