Investors globally and domestically are stuck in this weird holding pattern. We are all clearly waiting for more definitive signals on the direction of tariffs and broader policy settings, and despite US-China trade talks, we would argue this is news for news' sake – it is not fact. This uncertainty is casting a long shadow over the market, but you wouldn’t know it; the recent volatility has all but reversed equity losses.Beneath the surface, several important trends are shaping the outlook, particularly around the movement of prices for both commodities and consumer goods. For example, look at how local retailers respond with their own pricing strategies to deal with the ‘new trade order’. At the same time, expectations around index rebalancing are adding another layer of complexity, with market participants closely watching which companies might move in or out of major indices in the coming months as geopolitics and the digital age move weightings around.Investors are acutely aware that the next major move will likely be dictated by policy announcements, which could come at any moment and in any form, and so are scrutinising every development for clues.First - In this environment, we are very mindful of oil, any second-order effects that lower oil prices as a traded commodity and at the petrol pump, could have on the broader economy for Australia and, by extension, our China-linked economy. A deal between the US and China, but also Russia and Ukraine, would be huge for oil.Second, there is also an ongoing debate about whether the Australian economy and local equity markets will see any real benefit from a period of goods disinflation, or whether the impact will be more limited than some expect.Looking ahead to the June 2025 index review, expectations are that the level of change will be more subdued compared to what was seen in March. The most significant adjustment on the horizon is the likely addition of REA Group to the S&P/ASX 50 Index, replacing Pilbara Metals. Beyond that, Viva Energy is currently positioned within the 100–200 range and could move up if conditions are right, while Nick Scali is well placed to enter the 200 should a spot become available, and in a rate-cutting environment, consumer discretionary is going to be interesting. The June rebalance is due to be announced on June 6 and implemented on June 20, so there’s plenty of anticipation building as investors position themselves ahead of these changes.Zooming out to the macroeconomic front, several catalysts are likely to shape the market narrative in the weeks ahead.Consumer and business sentiment, first-quarter wage growth, and the April labour force data are all in sharp focus this week and next. The expectation is that consumer sentiment will have continued to decline in May, extending the broader deterioration that’s been in place since the US tariff announcements. Business surveys for April show that both confidence and conditions are holding steady, tracking above their long-run averages.Turning to Wednesdays, Wage index growth is expected to have accelerated in the first quarter, with forecasts pointing to a 0.8% increase quarter-on-quarter and a 3.9% rise year-on-year. This acceleration is being driven by a combination of ongoing tightness in the labour market, stronger enterprise bargaining agreements, and legislated increases in childcare wages.Thursday’s labour force data for April is expected to show 40,000 jobs added, with the unemployment rate holding steady at 4.1%. A slight uptick in participation to 66.9% is also anticipated, reflecting the ongoing strength of the jobs market.In the housing sector, the latest data is less encouraging. Building approvals fell by 8.8% in March, with a 13.4% drop in house approvals. These figures are weaker than both market and consensus expectations, and the annualised rate has now fallen to 160,000. This points to ongoing challenges in the construction sector and raises questions about the sustainability of the housing market recovery. This will bring the RBA and the newly elected Federal government into sharp focus – action is needed, but what that looks like is hard to define.Commodities markets have also seen significant movement, with oil prices dropping below US$60 per barrel, the lowest point since early 2021. This has brought OPEC into sharp focus. The crux question is whether OPEC will attempt to chase prices lower or instead move to stabilise the market. So far, they have pushed prices with deliberate oversupply to punish certain nations – this, however, is unsustainable and will have to change soonCouple this with weaker demand from Asia, and a volatile US dollar is also playing a role, with Brent crude now trading at $55 per barrel. These developments are feeding into broader concerns about global growth and the outlook for commodity exporters.Looking at the local currency and AUD has shown remarkable resilience, supported by a meaningful improvement in the country’s energy trade balance and a weaker US dollar. However, the next major test for the currency will come with the release of the US CPI data on Wednesday, which could set the tone for global markets in the near term – is the Fed out of the market in 2025? This will impact the USD.Looking at the globe, the market and financial landscape is still navigating a complex web of challenges, with persistent inflation, potential tariff implementations, and evolving economic dynamics all in play.Market participants are increasingly focused on how these factors interact and influence everything from consumer pricing to investment strategies. Central bank decisions, especially from the Federal Reserve, have been pivotal in moderating market sentiment, while ongoing discussions about trade policy continue to reshape the global economic environment. Tariffs, in particular, are forcing companies to rethink their supply chains. You only must look at the US reporting season and the likes of Ford, GM, Nike and the like, all scrapping forward guidance and highlighting the impact tariffs are having on cost. The second event that is now becoming ‘actual is that the higher input costs are often now being passed on to consumers. The broader issue here is that this can reduce household disposable income and slow broader economic growth.So, although the excitement of early April has subsided, it's only a social media release away. That means that we as investors are navigating a period of heightened uncertainty, with every policy announcement, economic data release, and market move being scrutinised harder than normal as we look for what it might signal about the path ahead.The interplay between inflation, tariffs, and shifting economic dynamics means that flexibility and vigilance will be essential for anyone looking to make sense of the current environment and position themselves for what comes next.
What Google announced
At Google Cloud Next 2026 in Las Vegas, Google made two distinct announcements. It confirmed general availability of Ironwood, its seventh-generation TPU, the first purpose-built for what Google calls the “agentic era” of inference at scale. It also previewed its eighth-generation architecture: two purpose-built chips, TPU 8t for large-scale training and TPU 8i for high-speed inference, both targeting TSMC 2nm manufacturing and expected to reach general availability later in 2026.
A TPU is Google’s custom alternative to NVIDIA’s graphics processing unit (GPU). Where a GPU is a general-purpose workhorse, a TPU is a specialist chip built from the ground up for AI calculations. Google has been building them since 2016. The eighth generation is its most ambitious split yet, and the first time the company has designed separate chips for each half of the AI lifecycle.
The TPU 8t training pod reportedly delivers nearly three times the compute of an equivalent Ironwood pod, with double the performance per watt. The TPU 8i inference chip is designed to serve millions of AI agents simultaneously for enterprise customers.
That last part carries a structural implication. On a recent earnings call, CEO Sundar Pichai indicated that as TPU demand grows from AI labs, capital markets firms and high-performance computing applications, Google would begin delivering TPUs to select customers in their own data centres. Google is no longer content to keep its silicon advantage internal.
Google is no longer just a TPU user. It is becoming a TPU vendor, and its biggest customers are already signed up.
Anthropic’s compute strategy
Anthropic, the AI company behind Claude, has confirmed a major infrastructure deal with Google covering access to up to one million Ironwood TPU chips. The commitment is worth tens of billions of dollars and was formally announced by both companies.
Understanding that deal requires understanding Anthropic’s compute strategy in full.
The multi-platform picture matters because coverage elsewhere has occasionally characterised this Google deal as Anthropic “switching” from NVIDIA. That framing understates the deliberate architecture of Anthropic’s compute strategy. The Google deal is an expansion, not a departure from either AWS or NVIDIA.
Why this matters beyond the benchmark
On a per-chip basis, the current generation comparison is closer than the headlines suggest. Ironwood, now in general availability, delivers approximately 4.6 petaflops of FP8 computing power. NVIDIA’s Blackwell B200 delivers roughly 4.5 petaflops at FP16, although cross-precision comparisons require care, as the two figures are not measured on an identical scale.
But benchmark comparisons miss the bigger story.
At pod scale, where these chips are actually deployed, the gap widens. An Ironwood superpod of 9,216 chips delivers 42.5 exaflops. The eighth-generation TPU 8t pod, at 9,600 chips, targets 121 exaflops at FP4 precision. Google also claims near-linear scaling to one million chips inside a single logical cluster. For hyperscalers running hundreds of thousands of chips simultaneously, pod-level economics matter far more than per-chip benchmarks.
The NVIDIA position
NVIDIA currently controls an estimated 81% of the AI data centre chip market, according to IDC. That is an extraordinary concentration of market power, and the near-term demand picture has remained resilient.
Recent analyst expectations have pointed to strong NVIDIA earnings growth, supported by elevated demand for AI infrastructure and broad adoption of the Blackwell platform. NVIDIA has itself guided for a combined US$1 trillion in Blackwell and upcoming Vera Rubin orders across 2026 and 2027.
AMD is developing rack-scale server systems and has gained meaningful ground. Estimates from analysts, including IDC, suggest AMD may now hold approximately 10% of the AI accelerator market, up from low single digits two years ago. Amazon and Google continue to expand custom chip businesses. The combined chip operations at Amazon alone, covering Trainium, Graviton and Nitro, have crossed a US$20 billion annual revenue run rate, growing at triple-digit percentages year over year, with nearly 40% sequential growth in Q1 2026.
The bull case for NVIDIA remains clear: demand has stayed strong, and NVIDIA’s ecosystem remains deeply embedded across the AI compute stack.
The longer-term question is less about near-term earnings and more about pricing power in the next upgrade cycle. Every reporting period in which Google, Amazon and Microsoft gain confidence in their own silicon is another data point in that debate. The incentive structure is powerful: these companies have every reason to reduce dependency on a single supplier, and the capital to act on it.
Stocks and sectors to watch
For NVIDIA, the near-term earnings story and the longer-term competitive story are pulling in different directions. Strong results may validate the current cycle. But the structural dynamic, where major customers build their own silicon, is unlikely to reverse.
For Alphabet, the Ironwood general availability and eighth-generation preview represent a potential monetisation opportunity well beyond advertising. Google Cloud grew 63% year over year in Q1 2026, among the fastest growth rates of any major hyperscaler. TPU-as-a-service, with confirmed anchor customers including Anthropic and Meta, could extend that runway materially if enterprise inference workloads continue migrating to Google infrastructure.
The less obvious plays are in the supply chain. TPU 8t and 8i are both targeting TSMC 2nm manufacturing, with Broadcom designing the training chip and MediaTek the inference chip. TSMC may remain a critical enabler regardless of which chip architecture gains share in each cycle, as may advanced packaging suppliers, liquid cooling companies and data centre real estate investment trusts (REITs).
Power infrastructure, liquid cooling suppliers and data centre REITs may also be exposed to sustained capital expenditure growth. Combined hyperscaler capital expenditure from the four major cloud providers is tracking toward US$700 billion or more in 2026, nearly double the US$388 billion spent in 2025. That scale of investment, sustained over multiple years, represents a different kind of macro signal.
Supply chain plays: If neither NVIDIA nor Google “wins” the chip war outright, infrastructure may still benefit. TSMC already manufactures both Ironwood and the upcoming eighth-generation chips. Advanced packaging suppliers, liquid cooling companies and data centre REITs may benefit regardless of which chip architecture gains share in each cycle.
Where the risks sit
Higher AI infrastructure spending does not automatically translate into stock gains. Several factors complicate a straight line from “chip war” to “buy everything”.
What investors might take away
The AI chip war is not a story of one winner and one loser. It is a story of a market that is too large and too strategically important for any single company to own indefinitely.
NVIDIA built its lead through genuine technical excellence and a decade of software investment. That lead is real, and near-term earnings are likely to continue reflecting it.
But the challengers are no longer startups with benchmark slides. They are trillion-dollar companies with their own silicon, their own cloud infrastructure and every incentive to reduce their dependency on a single supplier, along with the capital expenditure commitments to show they are following through.
One way to frame the longer-term question is this: demand for AI compute may not be the primary variable for investors to focus on. Who captures the margin from that demand, and at what valuation multiple, may matter just as much. Those are questions each investor may need to weigh against their own risk profile and objectives.
Scenario Disclaimer: The "Next 30 days" and "Next 3 months" scenarios are illustrative "what-if" models for stress-testing a market thesis and identifying potential catalysts. They do not constitute a house view, forecast, guarantee, or prediction of future market movement. Any Brent price targets, Fed policy references, or other market benchmarks are hypothetical only. Real-world conditions are subject to volatility and unforeseen shifts.









