We have deliberately waited a few days before commenting on “Liberation Day” and the fallout that would come from President Trump’s new tariffs regime.It will go down as just another historical period of heightened volatility, uncertainty, risk, and a whole manner of market turmoil. This is why we wanted to put what is happening right now into some context. (If that is possible, considering how volatile the period is and how erratic and how quick the president's manner can change.)US markets have seen this kind of violent move only three times since the 1950s. The S&P’s over 10 per cent drop in the final two sessions of the week following President Trump's "Liberation Day" tariff announcement has it in rare company – and not in a good way - October 1987 (Black Monday), November 2008 (Global Financial Crisis), March 2020 (COVID-19).So, why such a reaction?The market reaction reflects not the ‘shock’ but the scale and brevity of the tariffs. A 10% across-the-board tariff was broadly expected. There were some calculations as much as 15 to 20% judging by the net $1 trillion in and out of the federal government revenue. (This is the impact of DOGE and other government spending cuts coupled with the tariffs now in place that will offset the promised 0% personal income tax for those earning up to US$150,000)But what markets didn’t see coming was the country-specific layer. Take China as an example; the additional 34% reciprocal tariff on Chinese goods pushed the total to 54%. With other measures factored in, the effective burden could approach 65%.Then there were the tariffs that were tied to trade deficits, hitting Japan, South Korea and most emerging markets between the eyes (i.e. Vietnam).The EU saw a 20% rate, which was within expectations, while the UK, Australia, New Zealand and others landed at 10%. Canada and Mexico were spared, as was Russia, North Korea and Belarus, interestingly enough.Energy was excluded, which is unsurprising considering Trump’s goal of getting energy down, down and staying down. Pharmaceuticals and semiconductors were also carved out, however, this is more down to the probability of more targeted action like that of steel and aluminium.Now, what is different about this market shock and risk off trading is that it would send funds flowing to the US dollar, ratcheting it higher. But not this time. The dollar weakened against the euro. Theories as to why range from Europe’s lighter tariff load to euro-based investors pulling money out of the US. The same could be said of the Swiss Franc.All this leads to an average effective tariff rate of around 22%. That number will likely climb once product-specific tariffs on areas like pharmaceuticals and lumber are formalised. Some of this may be negotiated down, but not soon, and the possibility of tit-for-tat retaliation like China has now entered into could actually see it going higher still as the President looks to outdo country responses.The broader uncertainty this introduces to the US outlook is now at its highest since early 2020 and has the markets pricing in 110 basis points of Fed rate cuts this year – a near 5 cut call shows just how unprecedented this is.In fact, in no time in living memory has a developed economy lifted trade barriers this aggressively or abruptly. What has been implemented is textbook economics 101 supply-side shock.Input costs go up, finished goods get pricier, and the ripple effects hit margins and employment. Expect to see this in the next six months.Expect core PCE inflation to finish the year at 3.5% —nearly a full percentage point higher than the consensus forecast from just a week ago.Real GDP growth is forecast to slow to 0.1% on a quarter-on-quarter basis. That path may be volatile as Q1 could look worse due to soft consumption and strong imports, with a mechanical bounce in Q2.What has been lost in the chaos of last Thursday and Friday’s trade was the March Non-farm payrolls jobs print came in at 228,000, which was above consensus, the caveat being it is less so after downward revisions to prior months.Hospitality hiring was strong, likely helped by a weather rebound that won’t repeat. Government payrolls are holding steady for now, but cuts are coming. Layoffs in defence and aerospace (DOGE) are already underway, and tariffs will act as a brake on new hiring. Expect softer reports ahead.Unemployment ticked up slightly to 4.15%, reflecting a modest rise in participation. That’s still within range, giving the Fed cover to hold off on immediate action. But if job losses build pressure on the Fed to act, it will increase quickly.The consensus now is for the first rate cut of this cycle to start in May, triggered by softer April payrolls and earlier signs of deterioration in jobless claims and business sentiment.Zooming out from just a US-centric point of view, the macro standpoint is just as bad if not worse. The scale of tariffs adds pressure on industrial production, trade volumes and cross-border investment.That’s feeding into commodity markets, where the outlook has turned more cautious.Brent is expected to fall into the low US$60s as trade frictions and oversupply build. LNG looks weaker too, with soft Asian demand and less urgency in Europe to restock. Iron ore is more exposed to China, and the reciprocal tariffs put a vulnerability into the price due to the broader global slowdown and higher prices to the US.Looking at China specifically, infrastructure remains a key policy lever that would offset the possible loss of demand in aluminium, copper, and steel. Monetary indicators are beginning to turn, suggesting the start of a new easing cycle. It also suggests that policy remains inward-facing, and a focus on domestic stability would mean a metals-heavy growth path. Thus suggesting Australia could be the ‘lucky country’ once more and could escape the full burden of the global upheaval.In short, the global reaction isn’t just about tariffs. It’s about what happens when policy shocks collide with already-fragile global demand, and central banks are forced to navigate inflation that’s driven by politics, not just price cycles.This is the question for traders and investors alike over the coming period.
For most of the artificial intelligence (AI) boom, the market has treated Taiwan Semiconductor Manufacturing Company (TSMC) as the toll road everyone had to use. Nvidia, Apple, AMD, Broadcom and many major AI chip players relied on its manufacturing capacity.
Now that story is getting more complicated.
Intel reportedly jumped more than 11% on Monday, 8 June 2026, after reports that Google had placed an order for more than 3 million custom tensor processing units (TPUs) with Intel Foundry for delivery from 2028.
That does not make Intel the new TSMC. It does suggest the market is asking a sharper question: what happens when the AI boom starts running into capacity limits?
Here’s the setup
Demand for leading-edge wafers and advanced packaging has grown faster than the supply chain can comfortably absorb. That pressure is now forcing major AI customers to consider alternatives, not necessarily because they are abandoning TSMC, but because they may need more than one route to production.
One answer that emerged on Monday was Intel.
Google has reportedly placed an order with Intel to manufacture more than three million in-house tensor processing units in 2028. Nvidia is also reportedly evaluating Intel’s advanced packaging and 18A process for future chips, according to The Information, which cited people with direct knowledge of the talks.
Why Intel moved
Intel shares rose roughly 11% on Monday, closing at US$110.27. The move added to a sharp 2026 rally and signalled that investors may be reassessing Intel’s role in the AI supply chain.
Explore the architectural landscape of Asian tech giants outside major US infrastructure, tracing which foundry components and supply layers are positioned to optimize massive market cash flows.
Why packaging is the bottleneck
To understand why Monday's news mattered so much, it helps to understand one often-overlooked part of chipmaking: advanced packaging.
Building an AI chip is not just about making the chip itself. Manufacturers also need to connect the processor, memory and other components together so they can work as a single system. That final assembly step is known as advanced packaging.
TSMC dominates one of the most important packaging technologies, called CoWoS (Chip on Wafer on Substrate). The challenge is that demand for CoWoS has surged alongside the AI boom.
Nvidia alone is expected to account for about 60% of global CoWoS demand in 2026, while Broadcom and AMD are expected to take another 26%. That leaves relatively little capacity available for smaller AI chip developers and custom chip makers.
In simple terms, demand for AI chips is growing so quickly that one of the industry's key manufacturing steps is becoming a bottleneck.
Where Intel may fit
Intel has been developing its own alternative packaging technology, called EMIB, or Embedded Multi-die Interconnect Bridge. The technical details are complex, but the market point is simple: Intel believes EMIB can support large AI chip designs and may become an alternative to TSMC’s CoWoS for some workloads.
Intel’s EMIB has reportedly gained traction at Google and Meta, with production yields said to reach around 90%. Yield refers to the percentage of chips that come off the production line working properly. Higher yields generally mean lower costs and more reliable manufacturing.
The geopolitical angle also matters. Some chips made at TSMC’s Arizona facility may still need advanced packaging in Taiwan before final delivery. That weakens the idea of a fully onshore supply chain and helps explain why US-based packaging capacity is getting more attention.
Dies etched at TSMC facility in Arizona, USA.
Partly completed chips shipped over the Pacific.
Advanced packaging applied back in Taiwan.
Finished hardware distributed to end markets.
A granular evaluation of proprietary cloud computing modules vs decentralized hardware footprints, defining the margin advantages and scalability metrics shaping sovereign tech shifts.
Why the market cares
The Intel story is not just about one company winning a contract. It is a signal about where the AI supply chain may be heading.
When Google, one of TSMC’s key customers, reportedly tests a competitor’s packaging technology and then places a multi-million-unit order, the market hears several things at once: TSMC’s capacity constraints may be pushing customers toward alternatives, Intel’s technology may be gaining credibility, and the old “Intel is too far behind to matter” narrative may need updating.
Intel has gained approximately 422% over the past 12 months, an unusually large move for a large-cap semiconductor stock. For traders, the transmission effect is broader than Intel alone. A stronger Intel foundry story may attract capital into US semiconductor names and create a relative value debate between Intel and TSMC, not because TSMC is in trouble, but because its near-monopoly premium is being reassessed.
Assets and names to watch
A structural shift in foundry dynamics ripples outward across key technology components. Monitor this streamlined breakdown to scan positioning profiles.
| Name | Why it matters | What to watch |
|---|---|---|
| Intel Corporation | US foundry challenger. The reported Google TPU order and Nvidia trials support the second-source story, but foundry losses and execution risk remain the key limits. | Google order final confirmation, 18A process yields, structural foundry unit losses. |
| TSMC | Still the dominant global foundry. The risk is not immediate share loss, but that capacity limits create space for alternatives to gain relevance. | CoWoS advanced packaging expansion timelines, gross margins, key customer retention. |
| NVIDIA | The demand engine behind much of the AI supply chain pressure. Its Intel trials matter, but testing does not equal a production shift. | Whether multi-project wafer trials translate into high-volume commercial production orders. |
| SMH ETF | Broad semiconductor exposure through a basket containing TSMC, NVIDIA and Intel. | Useful for tracking whether the story is stock-specific or sector-wide. |
Bull case, cautionary case and what could go wrong
The supportive case for Intel is easy to understand. AI demand remains strong, TSMC capacity stays tight and major customers are looking for credible second-source manufacturing options. If Intel can turn reported trials and early customer interest into commercial production, the market may continue to treat its foundry strategy as more credible.
But this is still a conditional story, not a completed turnaround.
Intel’s foundry unit posted an operating loss of approximately US$10.3 billion in fiscal 2025, while the stock has already rallied about 175% year to date (YTD). That leaves less room for disappointment if future updates fall short.
The biggest technical test is 18A. Intel needs its manufacturing process to reach yields that commercial customers can rely on. Yield refers to the share of chips that come out usable. If Q2 disclosures disappoint, confidence in the foundry story could weaken.
Customer confirmation also matters. NVIDIA has not placed a production order with Intel. Reported Feynman architecture trials are still early stage, and testing does not guarantee committed production volume.
TSMC is another constraint on the Intel bull case. It is targeting CoWoS capacity of approximately 130,000 to 140,000 wafers per month by 2026 to 2027. If that expansion catches up with demand, the pressure pushing customers toward alternatives may ease.
There is also the broader AI spending cycle. If hyperscalers such as Google, Microsoft, Amazon and Meta slow infrastructure spending, the whole semiconductor sector could come under pressure, regardless of Intel’s progress.
The key variables to watch are customer confirmation, 18A yield progress, Intel foundry pipeline updates, TSMC capacity expansion and whether AI infrastructure spending remains strong.
The semiconductor space is no longer just about raw processor speeds, it has become an execution battleground for advanced packaging capacity and global footprint resilience.








