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Nvidia’s Breakthrough WALL-E Robot - We’re Moving at Speed

From Nvidia’s GTC 2025 keynote and their Disney partnered “Blue” robot, to developers now being able to implement the most advanced reasoning model and a secret prompting technique for lazy people.

Proudly sponsored by ConstructAI, brought to you by Weston Analytics

NVIDIA’s GTC 2025 Keynote: Bridging Cutting-Edge AI and Transformative Project Delivery

We’re all ears when Nvidia rolls through. Jensen Huang's confidence, matched with Nvidia’s far reaching innovation have this time introduced Rubin AI superchips, and the GeForce RTX 5090 GPU. While we don’t usually dive deep into the technicals, these innovations are Nvidia’s key to large scale agentic AI. In fact, they may become the backbone to agent run project delivery. Also, revealed at the event was Nvidia’s WALL-E called “Blue”, so nostalgic that we’ve covered it in its own story in our robotics section. 

Agentic AI: Beyond a Simple Tool

AI agents are multifold relative to single LLM’s - and so the compute demand is intensive. Add in the evolution of independence in workflows (agents controlling their own activity), the demand grows.  Rubin AI Superchips and the GeForce GPU are built to meet these demands not just now but in the foreseeable future. Here’s a bit about them:

  • Rubin AI Superchips:

    • Performance: Integrated GPU-CPU design achieving up to 3.6 exaFLOPS.

    • Project Impact: Enhances real-time risk assessments, resource allocation, and strategic planning for large-scale projects.

  • GeForce RTX 5090 GPU:

    • Performance Boost: Doubles the performance of the RTX 4090.

    • On-Site Application: Enables real-time analytics and decision-making at remote or bandwidth-limited locations, perfect for dynamic field operations.

Transforming Project Delivery

The new chip and GPU will unlock new capability, but what might this look like in our projects?

  • Autonomous Task Management:
    Routine tasks like scheduling and reporting can be automated end-to-end. Agents won’t need a manual trigger to start the workflow. It could be time or event triggered.

  • Scenario modelling:
    Advanced computing allows immediate simulation of complex scenarios, supporting dynamic responses in varied environments.

  • Localised Intelligence:
    With the RTX 5090, teams can perform detailed inspections and safety assessments directly on-site without relying on central data centres. Security and speed at your service.

  • Accelerated Timelines:
    Rapid model training and inference from Rubin superchips enable projects to iterate in hours rather than weeks, reducing downtime and uncertainty.

  • Enhanced Risk Management:
    Continuous monitoring by agentic AI provides proactive risk identification and adaptive forecasting. If the speed picks up, AI should be able to learn within projects not just across them.

  • Evolving Roles:
    As AI takes over routine work, project teams shift focus towards governance, oversight, and strategic alignment—ushering in roles like AI governance officers.

Strategic Insights for Project Leaders

  • Embrace Early Adoption:
    Initiate pilot projects to integrate agentic AI into existing workflows and unlock new efficiencies.

  • Invest in Upskilling:
    Equip your team with the skills to manage and supervise these advanced systems, ensuring both technical fluency and ethical oversight.

  • Plan Future Infrastructure:
    Align your resources with the emerging capabilities of these technologies to stay at the forefront of innovation.

🥑 Food for Thought
Can agentic AI, empowered by cutting-edge hardware like the Rubin superchips and RTX 5090, shift project management from routine oversight to strategic leadership?

Our Take
We believe it's time to experiment before the complexity grows. Pilot agentic AI in your workflows to boost efficiency, enhance risk management, and empower your team to focus on high-level strategy. 

The Rabbit Hole

We’re thrilled to announce a collaboration between Project Flux and Project Management Global, combining expertise in AI and project management. This partnership aims to keep professionals informed with weekly AI insights, practical tools, and broader project management strategies.

Together, we’ll deliver expert analysis, hands-on resources, and thought leadership to help project managers integrate AI effectively into their workflows. As Nicola Benjamin of PMG says, “AI is a tool to embrace.” Stay tuned for exclusive content, joint research, and actionable strategies that will revolutionise how you approach project management.

What’s new: Tech

OpenAI’s Most Pricey Model o1-pro released as API

OpenAI just rolled out o1-pro to developers via API. Priced at $150 per million input tokens and $600 per million output tokens—double the cost of GPT-4.5 and ten times that of the standard o1—this “reasoning” model promises enhanced performance through heavier computational power. Available now via OpenAI’s developer API (platform.openai.com) for select users who’ve spent at least $5 on API services, o1-pro aims to tackle complex tasks with greater reliability. But does its steep cost deliver real value for project delivery teams?

What It Means for Projects

  • Boosted Problem-Solving: With a 200,000-token context window and support for vision and structured outputs, o1-pro could streamline intricate project tasks—like decoding dense datasets or generating precise reports—faster than its predecessors.

  • High-Stakes Precision: OpenAI claims o1-pro excels at multi-step reasoning, potentially aiding teams in forecasting, risk analysis, or technical planning where accuracy is non-negotiable.

  • Cost vs. Efficiency Trade-Off: The hefty price tag might offset manual labor costs for enterprises, but smaller teams could find it a budget stretch, limiting its immediate reach.

People’s Take: Hype Meets Skepticism

The launch has split opinions. Many in the tech community are excited, seeing o1-pro as a leap forward for tackling tough challenges—think advanced analytics or automated decision-making—with some praising its reliability as a game-changer for high-stakes projects. Others, though, aren’t sold. There’s grumbling that the performance boost feels incremental, not revolutionary, with early testers noting struggles with puzzles or coding edge cases that don’t justify the cost. Developers have mixed feelings too: while some see it as a premium tool worth the investment for big players, others call it overpriced, pointing to cheaper alternatives that deliver near-similar results.

A New Era or a Pricey Experiment?

OpenAI’s o1-pro signals a shift toward specialized, high-compute AI for professional use, but its exclusivity and cost raise questions. For project teams, it’s a tool that could sharpen efficiency and precision—if the budget aligns. As the industry watches, the verdict hinges on whether its real-world impact matches the hype. Stay tuned as we dig deeper into how o1-pro shapes project delivery.

The Rabbit Hole 

💙 Other tech news we’re loving

Gemini’s new features bring serious firepower—think stunning image consistency, seamless app integration, real-time editing, and podcast-style document overviews, boosting creativity and productivity across projects.

Claude’s new web search powers make it a true research assistant, delivering live, relevant data—handy for project teams needing up-to-date market, tech or site info.

Apple’s AI shake-up hints at a major Siri reboot, with new leadership likely accelerating smarter, voice-driven workflows for iOS-based project professionals.

A man files a complaint after ChatGPT wrongly accused him of murder, raising fresh questions around AI reliability—especially where legal or compliance-heavy project work is involved.

Microsoft’s MCP protocol makes Copilot Studio smarter and easier to integrate, allowing AI agents to work in context—a win for automating tasks across construction, energy, and IT projects.

OpenAI is testing ChatGPT Connectors, allowing ChatGPT to pull data from Google Drive and Slack—streamlining communication and documentation across multidisciplinary teams.

Presented by Cogram

Cogram is an AI assistant specifically designed for AEC to help professionals save time on documentation and prevent disputes. 

  • Automated meeting minutes: Cogram drafts meeting minutes directly in your company’s template with tailored levels of detail, format, and style.

  • Works for virtual and in-person meetings: Cogram works across Zoom, Teams, and in-person meetings, such as site inspections and kick-off meetings. 

  • Field reports in minutes: Cogram’s mobile app combines site photos with minutes from on-site discussions to draft field reports in minutes.

  • Project-wide insights: Ask questions about your projects and get answers drawn from every relevant meeting and email chain from that project for the most up-to-date information. 

What’s new: Projects

NVIDIA and xAI Join $30 Billion AI Infrastructure Fund

On 19 March 2025, industry titans including NVIDIA, Elon Musk’s xAI, BlackRock, Microsoft, and Abu Dhabi’s MGX unveiled a $30 billion AI Infrastructure Fund—poised to expand to $100 billion. This strategic initiative is set to redefine project delivery by supercharging global AI infrastructure and streamlining the development and deployment of cutting-edge technologie

Key Highlights:

  • Accelerated Timelines: The creation of “AI factories” across the US, OECD nations, and the Middle East promises to significantly reduce lead times. Enhanced compute resources mean projects—from AI-driven predictive analytics in construction to sophisticated digital twins—can reach critical milestones months ahead of schedule. 

  • Democratisation of AI: By breaking down traditional cost barriers, this fund makes high-performance AI tools accessible to SMEs and startups. This enables more agile experimentation and rapid scaling without the burden of massive in-house infrastructure investments.

  • Sustainable and Secure: With an explicit focus on renewable energy integration and robust cybersecurity, the initiative not only supports Environmental, Social, and Governance (ESG) goals but also mitigates operational risks and enhances data governance.

  • Evolving Skillsets and Strategic Alignment: The shift towards advanced AI infrastructure is redefining roles within project teams. Leaders are now expected to integrate infrastructure planning early on, collaborating with cloud providers and technical specialists to secure dedicated compute resources and align projects with strategic sustainability objectives.

What people are thinking

  • Tech leaders celebrate the speed boost as a game-changer for efficiency, but some warn that rushing could sacrifice quality, risking untested systems or costly errors.

  • Startups and analysts applaud the chance for smaller players to shine, though skeptics worry about a flood of unregulated AI or domination by the fund’s corporate heavyweights.

  • Environmentalists welcome the green tech push, but question if AI’s energy hunger will outpace sustainability efforts, while security experts see centralized hubs as both a strength and a potential cyberattack magnet.

  • Professionals are excited` excited for new opportunities this opens, though many also feel the pressure to upskill fast or risk being left behind as AI redefines roles.

🥑 Food for Thought
Does the shift to large-scale AI infrastructure tip the scales in favour of generalised models over niche, specialised solutions? How will this balance shape project efficiency and innovation?

Our Take
Early testing is essential. While general platforms offer impressive speed and cost-effectiveness, our experience shows that targeted solutions remain crucial for specialised tasks. Explore both to find the optimal fit for your projects.

The Rabbit Hole

💙 Other project news we’re loving

DataGrid’s AI agents are reshaping construction workflows—handling procurement, planning, and design in one integrated system. It’s not just automation, it’s collaboration with intelligent co-pilots.

Adobe’s AI agents are pure wow: turning data into decks, chats into campaigns, and websites into immersive maps. Creative workflows are about to get a serious productivity boost.

Talk-to-create music is now real—thanks to Microsoft’s MCP, you can produce full audio tracks by chatting to your DAW. Musicians and sound designers, your AI bandmates have arrived.

What’s new: Productivity

Anthropic's Claude Now Searches the Web

Anthropic’s AI assistant, Claude, has gained real-time web search capabilities as of March 2025, addressing a key limitation of static AI knowledge. Launched this month and accessible via Anthropic’s web platform (anthropic.com/claude) or API with a subscription starting at $20/month for basic access, this update brings dynamic, current insights directly into project workflows. Here’s how it practically benefits delivery teams:

  • Instant Data Verification: Verify current market rates, regulatory changes, or industry standards in seconds, slashing manual research time and boosting accuracy.

  • Rapid Risk Identification: Quickly scan recent news, supplier updates, or market shifts to flag risks that could derail timelines or budgets.

  • Accurate Stakeholder Updates: Generate real-time summaries for clear, informed communication, strengthening stakeholder trust.

  • Enhanced Productivity: Eliminate hours of online digging, freeing your team for decision-making and execution.

Anthropic’s move equips Claude to enhance efficiency, adaptability, and responsiveness—making it a practical ally for project management in a fast-moving world. 

Robotics

Robotic Revelations: Boston Dynamics' Atlas vs NVIDIA's Blue

2025 has been the year of robot breakthrough’s. Let’s explore two groundbreaking robots that not only push technological boundaries but also invite us to reflect on the interplay between automation and human expression.

Atlas: The Agile Automaton

Boston Dynamics’ Atlas continues to redefine what is possible in robotics. Its latest iteration of Atlas demonstrates unparalleled agility, enabling it to walk, run, and perform complex manoeuvres with impressive balance and precision. For project delivery teams, Atlas is a compelling example of how physical automation can transform work environments—think of dynamic on-site applications like search and rescue operations or high-risk construction tasks where human safety is paramount. The engineering behind Atlas speaks to a philosophy of resilience and adaptability, reminding us that even in the realm of machines, there is room for fluid, almost human-like movement.

See atlas in action 👇

Blue: The Interactive Companion

On the other side of the spectrum, NVIDIA’s Blue emerges as a testament to the potential of integrating AI with expressive, human-centred design. Developed in collaboration with Disney Research and Google DeepMind, Blue leverages NVIDIA’s advanced simulation technologies to offer lifelike interactions. Unlike Atlas, Blue is designed to engage—its expressive capabilities can transform client meetings, presentations, and interactive displays. For project delivery professionals, this means a new way to communicate complex ideas and foster stakeholder engagement. Blue’s focus on natural interaction invites us to consider how technology can bridge the gap between data and dialogue, making technical processes more accessible and engaging.

See Blue in action 👇

Nvidia’s GR00T is training robots to understand language and mimic human motion—paving the way for AI-powered humanoids on construction sites, warehouses, and infrastructure projects. Think less sci-fi, more site support.

💙 Other productivity news we’re loving

  ChatGPT’s new wellbeing features show promise for emotional support, helping users manage mood and stress. Could AI soon be a digital therapist for professionals under pressure?

  OpenAI’s privacy woes grow as ChatGPT allegedly invents damaging claims about a user. A timely reminder to double-check AI outputs—especially on high-stakes projects.

  OpenAI’s voice model customisation gives developers fine control over tone and delivery—opening doors for more personalised, human-like assistants across project sites and customer comms.

Notebook LM’s mind map upgrade turns text into visual diagrams—perfect for project planning, stakeholder mapping, or visualising complex workflows in a flash.

Podcasts of the Week

Revolutionising Quantity Surveying with AI, with Dr Bola Abisogun OBE

On Project Flux, Dr Bola Abisogun speaks on his early journey with AI, digital twins and predictive analytics in the field of cost management. A man of many accolades, Bola has so much enthusiasm for the potential of AI, in a profession where he’s been a driving force for the new generations of quantity surveyors. This is an episode that looks to the past as a means to steer the future for cost managers and project delivery.

Isaac Asimov predicting that humans would merge with robots (1965)

Meet Project Flux: About Us

At Project Flux, we're committed to pioneering the future of construction and project delivery through the lens of cutting-edge Artificial Intelligence insights. Our vision is to be at the forefront of integrating AI into the fabric of project delivery, transforming how projects are conceptualised, planned, and executed.

Our Mission Project Flux aims to not only inform and educate but also to inspire professionals in the construction industry to embrace the transformative potential of AI. We believe in the power of AI to revolutionise project delivery, making it more efficient, predictive, and adaptable to the dynamic demands of the modern world.

What We Offer Through our insightful newsletters, podcasts and curated content on LinkedIn, and engaging discussions, Project Flux serves as a resource for professionals seeking to stay ahead in their field. We offer a blend of practical advice, thought leadership, and the latest developments in AI and construction technology.

What People Say…

“It was a real pleasure being a guest on the Project Flux podcast. James and Yoshi are really on top of things when it comes to AI in general and its application in project management specifically. If you just have a few minutes a week have a read through their newsletter so you can stay informed. If you have just a bit more time, they know how to ask the right questions in the podcast."

Nicki Kons, risk and project management expert