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TSMC's $600 Call Rests on Capacity It Cannot Build Fast Enough

A $600 price call on TSMC leans on sold-out capacity and a cited $60 billion capital budget. Measured against the last close of 450.61, here is what has to go right.

Kevin Marsh 6 min read
Technician in a white cleanroom suit handling a silicon wafer inside a semiconductor fabrication plant

A 24/7 Wall St. price prediction published Sept. 27, 2026 argues Taiwan Semiconductor Manufacturing (TSM) can reach $600 a share on AI-driven capacity constraints and a cited $60 billion capital commitment, against a last traded price of 450.61 on Sept. 25.

A price prediction published on Sept. 27, 2026 by 24/7 Wall St argues that Taiwan Semiconductor Manufacturing Co. (ticker: TSM) can reach $600 a share, on the view that the foundry is booking orders for capacity it cannot build fast enough and that a $60 billion capital commitment signals management confidence the market has not fully absorbed.

The stock last traded at 450.61, down 0.12% on the day from a previous close of 451.15, with a session range of 449.01 to 455.03, as of the close on Fri, Sept. 25, 2026. Markets were shut when this was written; that is the most recent print, not a live quote. Getting from there to $600 implies roughly a 33% advance from the last close — an illustrative calculation on the figures above, not a forecast anyone has published as a target return.

What the capacity argument actually claims

The bull case here is not a story about a single product cycle. It is a story about a bottleneck. A foundry is a contract manufacturer of chips: it does not design the silicon, it fabricates what customers design. When leading-edge fabrication capacity is scarce and demand for it is not, the manufacturer gains pricing leverage it does not normally have. That is the mechanism the $600 call depends on — that orders are queued ahead of what the physical plant can produce, and that the imbalance persists long enough to show up in pricing rather than just in backlog.

The $60 billion figure cited in the prediction is the counterweight to that scarcity. Capital expenditure at this scale is how the bottleneck eventually gets relieved: new fabs, new tooling, new nodes. Investors are being asked to read it two ways at once — as evidence management sees demand durable enough to justify the outlay, and as the spending that will, in time, add the supply that ends the squeeze. Those two readings pull in opposite directions on margin, and which one dominates is the actual question behind the price target.

The arithmetic the target has to clear

Price predictions are easy to state and hard to decompose. A move to $600 from 450.61 has to come from some combination of two things: higher earnings, or a higher multiple on the same earnings. The capacity-constraint argument is, in effect, a claim about both. Sold-out leading-edge capacity supports pricing and therefore earnings; the perception that the constraint is structural rather than cyclical supports the multiple.

What the prediction does not resolve — and what a reader should hold it to — is timing. No horizon is attached to the $600 figure in the material available. A 33% move over three years and the same move over six months are entirely different propositions for anyone sizing a position. Absent a stated timeframe, the target functions as a direction rather than a trade.

The other thing worth separating out is who bears the capital risk. Heavy capex is spent in advance of the revenue it is meant to serve. If AI-related demand for leading-edge wafers moderates while fabs are still being commissioned, depreciation arrives before the orders do. That is the standard foundry cycle, and it has caught the industry before.

How the stock sits against the broader tape

The prediction landed after a firm session for U.S. equities. The S&P 500, via SPY, closed at $771.35, up 0.54% on the day from $767.18, in a range of $766.29 to $772.28. The Nasdaq 100, via QQQ, finished at $744.50, up 0.46% from $741.10, between $739.64 and $745.91. The Dow 30, via DIA, closed at $517.49, up 0.94% from $512.68.

TSMC's own 0.12% decline on that day is noise, and should be read as such — a single session within a range of a few points tells you nothing about a multi-quarter thesis. But it does frame the context: the broad market and the tech-heavy index both closed higher while the name at the center of the AI supply chain drifted slightly lower. Semiconductor equities have not been moving as a single block.

What would confirm or break the thesis

There are a handful of observable things that would move this argument from assertion to evidence, and none of them require a price target to interpret:

  • Capex guidance revisions. If the capital budget is raised again, management is telling you the constraint is worse than currently modeled. If it is trimmed, the opposite.
  • Utilization at the leading edge. Full utilization on advanced nodes is the physical form of the bottleneck. Any slack there undermines the pricing argument first.
  • Foundry pricing. Price increases that stick are the cleanest proof that scarcity is translating into margin rather than just into lead times.
  • Customer concentration. Booked capacity is only as good as the credit and commitment behind it. Orders from a narrow set of AI buyers carry different risk than orders spread across end markets.
  • Advanced packaging throughput. In AI silicon, packaging capacity has been as binding as wafer capacity. A bottleneck downstream caps what the wafers are worth.

Reading a price target without buying it

The useful content of a $600 call is not the number. It is the chain of conditions the number requires: demand that stays ahead of supply, capital spending that lands on schedule, pricing power that survives the arrival of new capacity, and a market willing to pay more for each dollar of foundry earnings than it does today. Each of those is testable as quarterly data arrives.

For anyone weighing it, the discipline is to track the conditions rather than the target. A stock can reach a headline number for reasons that have nothing to do with the argument made for it, and it can miss one while the underlying thesis proves broadly correct. The last close of 450.61 is the only figure in this story that is fully settled.

Nothing here is investment advice, and price predictions from any source are opinion, not disclosure.

Key facts

  • Last traded price: TSM at 450.61, down 0.12%, as of the close Fri, Sept. 25, 2026
  • Price prediction: $600 per share, per a 24/7 Wall St. piece published Sept. 27, 2026
  • Capital commitment cited: $60 billion
  • Implied move from last close: Roughly 33% (illustrative, derived from 450.61 to $600)

Frequently asked questions

What is the $600 TSMC price prediction based on?

The prediction, published Sept. 27, 2026 by 24/7 Wall St., rests on two claims: that TSMC is booking foundry capacity faster than it can physically build it, and that a cited $60 billion capital commitment signals management sees demand the market has not yet priced. No time horizon for reaching $600 was attached to the figure.

Where does TSMC stock stand now?

The shares last traded at 450.61, down 0.12% from a previous close of 451.15, within a session range of 449.01 to 455.03, as of the close on Friday, Sept. 25, 2026. Markets were closed at the time of writing, so that is the most recent print rather than a live quote.

How much would the stock have to rise to hit $600?

Moving from the last close of 450.61 to $600 works out to roughly a 33% gain. That is an illustrative calculation on the two figures, not a published return forecast, and because no timeframe accompanies the $600 call, the annualized rate it would imply cannot be determined.

Why do capacity constraints matter for a foundry's profits?

A foundry manufactures chips that other companies design. When leading-edge capacity is scarce and demand exceeds it, the manufacturer gains pricing power it does not usually hold. That can lift margins. The effect fades once new capacity comes online, which is why heavy capital spending cuts both ways for the investment case.

What is the risk in the $60 billion capital commitment?

Capital spending on fabs is incurred well before the revenue it serves arrives. If demand for leading-edge wafers softens while plants are still being commissioned, depreciation charges hit the income statement ahead of the orders. That timing mismatch is the classic foundry cycle risk and has hurt semiconductor manufacturers in past downturns.

How did the broader market close that day?

On Sept. 25, 2026, the S&P 500 tracker SPY closed at $771.35, up 0.54%. The Nasdaq 100 tracker QQQ finished at $744.50, up 0.46%, and the Dow 30 tracker DIA closed at $517.49, up 0.94%. TSMC edged lower on the same session, down 0.12%.

Sources

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