In partnership with

1,000+ Proven ChatGPT Prompts That Help You Work 10X Faster

ChatGPT is insanely powerful.

But most people waste 90% of its potential by using it like Google.

These 1,000+ proven ChatGPT prompts fix that and help you work 10X faster.

Sign up for Superhuman AI and get:

  • 1,000+ ready-to-use prompts to solve problems in minutes instead of hours—tested & used by 1M+ professionals

  • Superhuman AI newsletter (3 min daily) so you keep learning new AI tools & tutorials to stay ahead in your career—the prompts are just the beginning

The world of project delivery is shifting under our feet, and if you're still relying on outdated tools and mindsets, you're already falling behind.

This week on Project Flux, we tackled two massive challenges facing our industry. First, I sat down with AI expert Ben Tasker to unpack the rapid evolution of AI and what it means for your job and skills. Then, Mohammad Shana'a, CEO of Morta, joined me to expose the silent killer of construction projects—fragmented data—and why it's finally time to wean ourselves off Excel.

The Future of Work in 2026: AI, Jobs & Skills You NEED

We were engaged in an enlightening discussion with Ben Tasker, a renowned AI expert, on the structural changes currently reshaping the workforce. The rapid evolution of Artificial Intelligence is no longer just a distant prediction; it is an immediate reality that demands our attention. We discussed the overwhelming nature of the current AI landscape and how professionals can navigate this "between times" of structural change in work.

One of the core themes we observed was the urgent need for workforce transformation. As AI technologies become more integrated into our daily workflows, the requirement for upskilling and reskilling has never been more critical. Ben highlighted that the capability gap in AI adoption is widening. It is not just about having the tools; it is about understanding how to leverage them effectively. Organizations must conduct thorough skills and capability assessments to identify where their teams stand and what training is necessary to bridge the divide.

We discussed the importance of creating a learning culture within organizations. Resistance to cultural change is a natural human reaction, especially when faced with radical innovation. However, balancing AI adoption with cultural sensitivity is key. Leaders need to foster an environment where continuous learning is encouraged and where employees feel supported as they navigate these new technologies. The future of work will heavily rely on these AI skills, and those who adapt will thrive.

Furthermore, we explored AI's impact on specific job roles and industries. The SaaS landscape is undergoing a massive transformation with AI integration, creating both challenges and unprecedented opportunities. Navigating this AI-driven future requires a strategic approach, focusing not just on the technology itself, but on how it augments human capabilities. As Ben pointed out, the goal is not to replace the human element, but to empower it, enabling us to achieve higher levels of efficiency and innovation.

The conversation also touched upon engagement and community building in the age of AI. As we automate more routine tasks, the value of genuine human connection and community becomes even more pronounced. It is about finding the right balance between leveraging AI for productivity and maintaining the core principles of project management that rely on collaboration and trust.

Takeaway

  • Embrace Upskilling: The capability gap in AI is real. Continuous learning and reskilling are essential for staying relevant in the modern workforce.

  • Foster a Learning Culture: Organizations must actively support their teams through the cultural shifts brought about by AI adoption.

  • Focus on Augmentation: View AI as a tool to enhance human capabilities rather than a replacement for human insight.

Links and Stuff

Listen on

Why Excel is Killing Your Projects (And What to Use Instead)

Last week we were engaged in an enlightening discussion with Mohammad Shana'a, CEO of Morta, on how their platform is transforming construction project management. Mohammad brings a wealth of experience in data integration, and our conversation quickly zeroed in on a fundamental issue: trust. Trust is the ultimate constraint in the construction industry. Most construction failures trace back to fragmented, unreliable data, not a lack of capability. Transparency, as we discussed, is the essential fix.

We observed that admin work is the silent killer of productivity. Automating menial tasks isn't about efficiency for its own sake; it is about returning professionals to strategic thinking. The reliance on disconnected spreadsheets and manual data entry creates a breeding ground for errors and miscommunication. Mohammad emphasized the critical need for a single source of truth in construction projects, which can only be achieved through robust data integration.

A crucial point raised during our talk was the principle of "data integrity before AI." Deploying Artificial Intelligence on bad data only compounds errors. Getting the foundations right is the unglamorous prerequisite that no one wants to talk about, but it is absolutely vital. We discussed how managing information overload and preventing AI hallucinations starts with structured, reliable data. The shift from Excel to structured data platforms is not just a technological upgrade; it is a fundamental change in how we manage project information.

We also explored the debate between point solutions and no-code platforms. The challenge of collaboration in construction is immense, and weaning off Excel is a gradual process. Mohammad advocated for a bottom-up approach to digital transformation. Lasting digital change in construction starts with the people who actually run the workflows, not through mandates from above. When the end-users see the immediate benefits of automated tracking and reporting, adoption becomes organic and sustainable.

Finally, we touched upon AI tools for organisational knowledge. As companies accumulate vast amounts of data, leveraging AI to extract actionable insights becomes a game-changer. But again, this is only possible if the underlying data architecture is sound. Morta's approach highlights the necessity of building trust through digital transformation, ensuring that every stakeholder has access to accurate, real-time information.

Takeaway

  • Prioritise Data Integrity: Before implementing AI, ensure your foundational data is structured and reliable to avoid compounding errors.

  • Automate the Menial: Free up your team's time from administrative burdens so they can focus on strategic, high-value tasks.

  • Drive Bottom-Up Change: Successful digital adoption relies on empowering the individuals who manage the day-to-step workflows.

Links and Stuff

Listen on

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

logo

To Keep Reading Join Project Flux Pro

Get weekly expert AMAs, exclusive AI tools, deep-dive podcasts, and join a community of project professionals mastering AI in project delivery.

Join Pro

What You'll Get::

  • Weekly Live AMA & Expert Sessions
  • Private Pro Community Access
  • Exclusive Podcast & Deep Research
  • AI Tools & Templates Library

Reply

Avatar

or to participate

Keep Reading