Here’s a bold statement: the stagnation in living standards and productivity growth is one of the most pressing challenges of our time, and artificial intelligence (AI) might just be the game-changer we’ve been waiting for—but only if we get the policies right. While AI holds immense promise, its benefits won’t magically trickle down without deliberate action. And this is the part most people miss: without thoughtful intervention, the gains could be uneven, leaving many behind. But here’s where it gets controversial: could AI exacerbate inequality, or will it democratize opportunity? Let’s dive in.
In Australia, as in much of the world, the cost of living crisis dominates headlines. People are struggling to maintain, let alone improve, their living standards. It’s not that life is getting worse—it’s just that progress has stalled. For decades after World War II, we grew accustomed to steady improvements in our quality of life. But since the 2008 Global Financial Crisis, productivity growth—the engine of economic progress—has slowed to a crawl. This isn’t just an Australian problem; it’s a global trend. So, what’s the solution? Many are looking to AI as the next big thing.
Governments, including Australia’s, are pinning their hopes on productivity as the key to revival. The upcoming budget is expected to focus on this very issue, and suggestions have poured in from all corners, including the Economic Reform Roundtable. But here’s the catch: while many of these ideas have merit, history tells us that incremental reforms rarely move the needle on productivity growth. The real game-changers have always been technological breakthroughs—think electricity, the steam engine, or the internet. AI could be next in line, but its impact is far from guaranteed.
Take a look at the data: the productivity slowdown has hit nearly all developed economies equally (as shown in Table 1). Australia’s sluggish productivity growth in the 2010s and stagnation post-COVID is the norm, not the exception. The outlier? The United States, where productivity growth has outpaced the rest since 2019. Why? Likely because the U.S. is at the forefront of AI innovation, alongside China. This raises two critical questions: How much will AI actually boost productivity, and at what cost to jobs?
AI’s potential is undeniable, especially in sectors like healthcare, where it promises personalized medicine, faster diagnoses, and accelerated drug development. Administrative tasks in accounting, law, and education could be streamlined, freeing up professionals to focus on higher-value work. But the devil is in the details. While some, like IMF head Kristalina Georgieva, warn that AI could hit the job market “like a tsunami,” others point out that its impact so far has been minimal. A 2023 Economist analysis found that employment in over 100 white-collar occupations in the U.S. actually rose by 4% since mid-2022. So, what gives?
The truth is, it takes time for businesses to adapt. Technological revolutions don’t happen overnight. As McKinsey’s latest survey notes, while AI tools are everywhere, most companies haven’t fully integrated them into their workflows. Interestingly, research from the Brookings Institute suggests that firms investing in AI tend to grow faster, innovate more, and even hire more—though the benefits take years to materialize. For example, AI-leading firms have seen roughly 2% additional sales growth annually, but it’s not immediate. The real payoff? Breakthrough innovations, like Moderna’s rapid COVID-19 vaccine development.
But there’s a flip side. AI is reshaping the labor market, favoring highly skilled workers and larger firms with the resources to invest in custom AI models. This could lead to greater industry concentration and inequality. As Nobel laureates Daron Acemoglu and Simon Johnson put it, whether AI destroys or creates jobs depends on how we use it—and who gets to decide.
Here’s the bottom line: AI isn’t just about automation. Governments have a critical role to play in harnessing its potential to enhance productivity by transforming the nature of work itself. Instead of replacing workers, AI could empower them to do more meaningful, higher-value tasks. But this won’t happen by accident. It requires bold, forward-thinking policies that ensure the benefits are shared widely.
So, what do you think? Is AI the solution to our productivity woes, or a double-edged sword that could deepen inequality? Let’s start the conversation—because the choices we make today will shape the future for generations to come.
