Walk into any boardroom in 2026 and you’ll hear a version of the same conversation. Someone is talking about AI. Someone else is nodding. Budgets are being approved. Tools are being rolled out. And somewhere, quietly, a senior leader is wondering why the productivity miracle they were promised hasn’t quite shown up.
BCG research shows only 5% of companies are achieving AI value at scale and 60% report minimal ROI. That’s a lot of investment for a lot of underwhelming results.
The gap isn’t technological. It’s human.
Will AI replace human workers, or change what they do?
When generative AI hit the mainstream, the loudest narrative was about substitution. AI will replace lawyers, marketers, analysts, designers. We were told to brace for impact.
What actually happened is more interesting. An INSEAD study published last year found that roles using generative AI require 36.7% higher cognitive skills, not fewer. The bar moved up, not down. As routine work gets automated, what remains is the harder stuff: judgement, creative problem framing, ethical reasoning and the ability to know when the machine is wrong.
The World Economic Forum projects nearly 40% of core skills will change by 2030. McKinsey forecasts demand for social and emotional skills will grow 26% over the same period. Empathy, communication and the capacity to lead through ambiguity are becoming more valuable, not less.
The future of work is about how thoughtfully we combine three distinct capabilities.
What are the three intelligences organisations need to develop?
At Phuel, we’ve started talking about this as the evolution of intelligence. Not artificial intelligence on its own, but three interdependent capabilities that organisations need to develop together.
Human Intelligence (HI) is the cognitive depth that lets your people direct, validate and meaningfully use AI outputs. Analytical thinking. Creativity. Ethical judgement. The World Economic Forum puts these at the top of the skills outlook for 2030, and for good reason. If your people can’t think critically, they can’t tell when AI is hallucinating, when a recommendation is biased or when the ‘efficient’ answer is the wrong one.
Emotional Intelligence (EI) is the bridge between human capability and AI effectiveness. When teams work alongside AI, the differentiator isn’t who has the best tools. It’s who can build trust, navigate uncertainty, communicate with influence and lead through change. These aren’t soft skills. They’re the capabilities that determine whether AI adoption succeeds or stalls. A technically capable team that can’t navigate ambiguity or hold difficult conversations won’t extract value from any tool. EI is the bridge between what AI can do and what your organisation actually delivers.
Artificial Intelligence (AI) is now a baseline expectation, but most workforces aren’t ready. DataCamp’s 2026 report found that while 82% of organisations offer AI training, 59% still have a skills gap. Only 13% of workers have received any meaningful AI education, and 42% say their employer expects them to figure it out on their own. The global skills gap is now projected to cost $5.5 trillion by the end of this year.
Applied AI fluency doesn’t sit on its own. Effective prompting requires critical thinking (HI). Evaluating outputs requires ethical reasoning (HI). Embedding AI into team workflows requires trust and collaboration (EI). The three intelligences aren’t a menu to pick from. They’re a system.
Why is investing in AI alone a strategic risk?
In January, Fortune ran a piece quoting McKinsey’s Global Managing Partner: ‘Organisations that invest in technology while neglecting brain capital will find themselves constrained not by algorithms, but by insufficient attention, leadership and adaptability.’
Read that again. That’s the constraint most organisations aren’t solving for.
Harvard Business School researchers have flagged a second-order risk that doesn’t get enough airtime. AI may make work 20% more productive but 20% less meaningful. And when meaning drops, so does discretionary effort. So does retention. So does the energy your people bring to the work that actually matters.
Deloitte’s 2026 State of AI report confirms what we’ve been seeing in our programs. Insufficient worker skills, not technology or budget, is now the number one barrier to AI integration. Organisations are buying the tools. They just don’t have the people equipped to use them well.
How should L&D leaders respond to the AI capability gap?
If you’re a senior leader or someone responsible for talent and capability, this matters in a practical way. The investment case is no longer ‘do we train our people in AI or not’. It’s ‘are we developing the cognitive depth, relational capability and applied fluency that lets AI actually deliver value’.
That’s a different conversation. It means experiential learning that stretches thinking, not just toolkits. It means leadership development that builds adaptability and ethical judgment. It means programs that develop EI as deliberately as we develop technical skill. And yes, it means AI literacy that goes beyond ‘here’s how to use ChatGPT’ into prompting, evaluation, workflow redesign and the judgement to know when to override the machine.
We’ve been running programs at Phuel for over 25 years that build exactly these capabilities. Simulations like Gold of the Desert Kings, ExperienceChange and Redline Racing put leaders in high-pressure scenarios where they have to think, decide, collaborate and lead. The technology has changed around us, but the underlying human capabilities that drive performance haven’t. They’ve just become more important.
Which organisations will win the next decade of AI adoption?
The organisations that win the next decade won’t be the ones just using AI the most. They’ll be the ones whose people have the cognitive depth to direct it, the emotional intelligence to lead through it and the applied fluency to use it well.
If you’re thinking about how your organisation invests in capability over the next 12 months, the question isn’t whether to invest in AI or in people. It’s how to develop all three intelligences together, because that’s the only combination that compounds.
Curious what this could look like for your leaders and teams? Let’s talk. We’ve been helping organisations build human capability for over 25 years and the work has never mattered more than it does right now.
Jake James is a facilitator and AI practice lead at Phuel. He works with senior leaders and teams across Australia and the Asia Pacific to develop the human capabilities that drive performance in changing times.
