Welcome to another edition of Project Flux, where we dissect the AI developments that are reshaping our industry.

This week, we're exploring the following:

SaaS Disruption: Anthropic's latest AI moves have wiped $285 billion off SaaS valuations, signalling that AI agents are poised to fundamentally disrupt the subscription software model and force a complete rethink of value propositions.

Project Controls Revolution: nPlan's AI Day demonstrated how AI-powered platforms are accelerating the project controls loop, enabling project professionals to shift from reactive to proactive management with data-driven forecasting.

The AI Arms Race Growing Intensity: Anthropic and OpenAI released major model updates simultaneously, highlighting the fierce competition driving unprecedented innovation and the need for continuous learning to stay competitive.

OpenAI's Expanding Ecosystem: New tools like agentic coding apps and extended ChatGPT memory are creating fresh opportunities for project professionals to experiment and supercharge their delivery capabilities.

Space-Based AI Infrastructure: Elon Musk's $1.25 trillion merger of SpaceX and xAI signals a bold vision for building data centres in space, reflecting the convergence of physical and digital infrastructure in the AI age.

The SaaS world was rocked this week as a staggering $285 billion was wiped off market valuations. The trigger? Anthropic's latest AI advancements, which have sent a shockwave of fear through the traditional software industry. Investors are betting that AI agents are on the verge of making many subscription-based software products obsolete. This isn't just about efficiency gains; it's a fundamental disruption of the SaaS business model, exposing weaknesses in leadership strategies and forcing a radical rethink of value propositions. Read the full breakdown →

The age of passive software is ending. For project professionals, this means the tools you use are about to get a whole lot smarter and, potentially, a whole lot more autonomous. The line between user and tool will blur, and your value will increasingly come from your ability to direct and collaborate with AI agents, rather than just operate software. This is a moment to critically evaluate your own toolchain and to start thinking about how you can leverage these emerging AI capabilities to drive a step-change in your project delivery.

nPlan's AI Day showcased the future of project controls, demonstrating how their AI-powered platform is accelerating the project controls loop. By leveraging AI to analyse historical data and predict project outcomes, nPlan is enabling project professionals to make faster, more data-driven decisions. This is a significant step towards a more proactive and intelligent approach to project management. Read the full breakdown →

The era of reactive project controls is over. With tools like nPlan, you can now move from being a historian of project performance to a forecaster of project success. This means you can identify and mitigate risks before they become issues, and you can optimise your project plans for a greater certainty of success. This is a powerful new capability for project professionals, and it's one that will separate the leaders from the laggards in the years to come.

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The AI arms race has reached a new level of intensity, with Anthropic and OpenAI releasing major model updates on the same day. This simultaneous launch is a clear signal of the fierce competition that is driving the rapid pace of AI development. Both companies are vying for dominance in the AI model space, and the result is a torrent of new capabilities that are being released to the world at an unprecedented rate. Read the full breakdown →

The AI arms race is a double-edged sword. On the one hand, it means you have access to ever more powerful tools and capabilities. On the other hand, it means the ground is constantly shifting beneath your feet. To thrive in this environment, you need to be a continuous learner, constantly experimenting with new tools and adapting your workflows to take advantage of the latest advancements. The winners will be those who can ride the wave of innovation, not those who are swept away by it.

OpenAI has unleashed a torrent of new tools and capabilities, creating a new ecosystem for AI-powered project management. From the new macOS app for agentic coding to the ability for ChatGPT to remember conversations from a year ago, the OpenAI ecosystem is rapidly evolving. This guide will help you navigate this new landscape and understand how you can leverage these new capabilities to deliver your projects faster, smarter, and with greater impact. Read the full breakdown →

The OpenAI ecosystem is a playground of new possibilities for project professionals. The new macOS app for agentic coding could revolutionise how you develop project-specific tools and automations. The extended memory of ChatGPT could transform how you manage long-term projects and stakeholder communications. This is a time for experimentation and exploration. The more you play with these new tools, the more you will discover how they can help you to supercharge your project delivery.

Elon Musk has made his boldest move yet, merging SpaceX and xAI into a colossal entity valued at an eye-watering $1.25 trillion. The plan? To build data centres in space and accelerate the development of AI by leveraging SpaceX's unparalleled infrastructure. This is a move of breathtaking audacity, and it's one that could reshape the future of both AI and space exploration. Read the full breakdown →

While the idea of space-based data centres might seem like science fiction, the implications for project professionals are very real. This move signals the growing convergence of the physical and digital worlds, and it highlights the increasing importance of infrastructure in the AI age. For those of us in the business of delivering complex projects, this is a reminder that the future is being built by those who can think big and execute with precision. It's a call to embrace audacity and to push the boundaries of what's possible.

The Association for Project Management (APM) has just released a series of videos that provide a fantastic introduction to this critical skill. As AI becomes more integrated into our work, the ability to write effective prompts will be a key differentiator.

The APM videos cover the basics of prompt engineering, and they provide some great examples of how you can use this skill to get more out of your AI tools. Whether you're a complete beginner or you're looking to take your prompt engineering skills to the next level, these videos are a must-watch.

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The battle for the soul of AI is heating up, with Anthropic taking a direct shot at OpenAI in a Super Bowl ad that highlighted their different approaches to safety and ethics. This public sparring match is just the tip of the iceberg in a much larger debate about the future of AI governance. As these technologies become more powerful, the question of how we control them becomes ever more pressing.

Are we building tools that will empower us, or are we creating crutches that will make us weaker? Industry experts like Ian P. Cook are urging us to focus on the real-world applications of AI, rather than getting lost in the hype of AGI. But with the lines between tool and agent becoming increasingly blurred, it's a conversation we can't afford to ignore.

From Reactive to Proactive: How AI-Powered Project Controls Are Reshaping Delivery

What if the future of project management isn't about doing more with less but about making smarter decisions faster? This week's conversation with Maryrose Lyons, founder of the AI Institute, explores how AI-powered project control platforms like nPlan are fundamentally transforming how project professionals approach planning, forecasting, and risk management. Rather than waiting for problems to emerge, teams can now leverage historical data and AI reasoning to predict outcomes and course-correct before issues arise.

For decades, project controls have been reactive—you track what happened, analyse the variance, and adjust for next time. But with AI-powered platforms, the paradigm is flipping. By analysing historical project data, AI can now identify patterns, predict risks, and suggest interventions before they become problems. Maryrose emphasises that this isn't about replacing project managers—it's about freeing them from the tedium of data analysis so they can focus on strategic decision-making and leadership.

What's striking is how this transformation rewards a particular mindset: curiosity paired with action. Professionals who experiment with these tools, who ask "what if" questions, who test new approaches—these are the ones discovering novel applications that go far beyond what any training programme prescribes. The language around AI adoption has shifted from fear and overwhelm to curiosity, and curiosity, when acted upon, creates the conditions for genuine transformation.

The implications are profound. Project controls is moving from a backward-looking discipline to a forward-looking one. Your role is evolving from historian to forecaster. The professionals and organisations that embrace this shift—that invest in understanding these tools and experimenting with them—will separate themselves from the competition.

To listen to the complete episode, visit the Project Flux podcast.

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nPlan hosted an exclusive AI Day event where industry experts demonstrated groundbreaking advancements in project management technology. The centrepiece was Schedule Studio, a revolutionary tool that enables fast, large-scale scenario analysis—generating up to 3,000 activities instantly.

The event explored how AI-powered project controls are transforming the project controls loop, enabling professionals to shift from reactive to proactive management through multiverse thinking: exploring multiple scenarios simultaneously to manage uncertainties and unforeseen events.

Key insights included the significance of AI plugins and integrations in reshaping project delivery workflows, the competitive edge of hyper-vertical AI tools over generalist models, and the strategic implications of AI disruption on traditional industries. Speakers also addressed the security and governance challenges of deploying agentic AI systems in production environments.

Listen to the full discussion on Project Flux's podcast.

See you soon,

James, Yoshi and Aaron—Project Flux 

All content reflects our personal views and is not intended as professional advice or to represent any organisation.