The 1985 Semiconductor Depression vs. the 2022 Semiconductor Demand Shock
In late 1983 and into 1984, times were amazing and the best they had ever been in the semiconductor industry. Until they weren’t.
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(Quick note: If you have not read “WTF! Our Taxpayer Money Will Pay for Intel’s $130 Billion in Stock Buybacks and Dividends?” I recommend this article also. There is important and relevant content here that you are unlikely to see covered by mainstream cable news media companies.)
Times were good in the semiconductor industry in late 1983.
Really good.
The initial boom in personal computer manufacturing was in full swing, and all of the then-new PC companies were ordering semiconductor chips like there was no tomorrow. The book-to-bill ratio — a closely watched metric in the semiconductor industry — registered its highest reading ever at 1.66 in December 1983.
Everyone in the semiconductor industry was pumped, and every semiconductor company was hiring aggressively and staffing up in every department as rapidly as they could.
That’s why it was so surprising when only 12 months later, the book-to-bill ratio dropped to its lowest reading ever at 0.58; everyone was in panic mode; and the industry was entering what would become the worst two-year downturn that it had ever seen.
What happened?
And what can this tell us about what might happen in 2023 and 2024?
What was going on in 1983 in the semiconductor industry and in the just-being-born personal computer industry?
In 1982 and 1983, there were probably 15 to 20 small, medium, and large companies with some kind of a presence in the new personal computer (PC) industry. They were all working hard to bring their own vision of a personal computer to the marketplace and hoping to dominate what everyone expected would be a massive new industry segment.
But that only sets the stage. The story gets a lot more interesting.
As each of these companies made their projections for how much of the market they thought they could win, it was typical for each company to be planning on getting a large chunk of the PC market for themselves. It’s probably safe to say that few companies went into that new business unless they were hoping to win at least 20% of the then-new market.
Here’s the problem.
If you have 15 companies each ordering semiconductor chips with the idea in mind that each of them is going to have at least 20% of the market, then do the math.
15 companies × 20% market share per company = 300% of the market.
But remember — there’s only “100%” of any market available to be won.
Basically, in the aggregate, all of these companies placed orders for chips that represented probably at least 3 times the actual personal computer demand that the marketplace was going to require for chips over that next year or so.
So that alone meant that the industry was probably in bubble territory and was going to have an unhappy ending.
But wait, it got worse.
So much worse.
What was the Book-to-Bill Ratio metric?
It was simply:
(1) the dollar value of all of the ORDERS RECEIVED by semiconductor companies in a given month
divided by
(2) the dollar value of all of the ORDERS SHIPPED by semiconductor companies in that month.
If the ratio was greater than 1, that meant that companies were receiving orders worth more than the orders they were shipping. And that meant the semiconductor companies were building a backlog of orders.
Backlogs of orders (up to a certain point) were a GREAT thing.
Backlogs meant that if there would be a downturn in orders, the companies could dip into their backlog of orders as a cushion and keep their factory lines and shipments running at a steady level.
In a manufacturing business like that, knowing that you could count on steady demand made manufacturing planning much easier, and it was generally good for profitability.
Bottom line, a Book-to-Bill ratio >1 was a good thing.
For example, a Book-to-Bill ratio of 1.2 meant that for every $1,000,000 of orders that semiconductor companies shipped in a given month, they were receiving orders worth $1,200,000. So they were building $200K worth of backlog that month for every $1M they shipped.
Conversely, if the Book-to-Bill ratio were LESS THAN 1, that meant that the semiconductor industry had to eat into whatever backlog cushion of orders that they had already on the books from previous months in order to keep their production levels steady.
If semiconductor companies had some amount of backlog cushion, they were able to use that cushion to smooth over cyclicality in orders and short-term downturns.
But if they ran out of backlog, then it was like a car engine running out of lubrication — the engine was going to seize up, and the car would come to a halt...and might crash in the process.
Keep this in mind — what you just learned is going to come in handy in a moment.
And that kind of engine seizing up along with a car crash is exactly what happened to the semiconductor industry starting in 1985.Double-ordering and triple-ordering in the face of long lead times for semiconductor chip deliveries
Back in the 1980s, if delivery times for semiconductor chips were stretching out and becoming 3 months instead of 2 months . . . or 6 months instead of 3 months, then it was common for electronics companies to also place a second order with another semiconductor company for the same quantities of the same chips.
They would do this “double-order” for a little bit of insurance as a back-up in case the order with the first semiconductor company either took longer than expected to be delivered or just wasn’t going to get delivered at all (for whatever reason.)
But, as you probably already have guessed, these double orders would cause the semiconductor companies to push delivery times for new orders out even further.
And in 1983 as more and more orders piled up with semiconductor companies, some of these electronics companies even began triple-ordering the same chips. Double-ordering wasn’t enough.
Can you just feel this bubble getting larger and larger as you read each sentence?
So in January 1984, the December 1983 Book-to-Bill ratio was initially pegged at an all-time high of 1.62 . . . and revised the next month upward to an even higher all-time high of 1.66.
And then the bubble began to pop!
The farther into 1984 that the industry got, the more obvious it became to each of these personal computer makers that their sales were not living up to their original business plans and expectations.
Each of these PC makers had so many orders on the books with the semiconductor companies, that the nascent PC companies started to panic that they might have to actually take delivery on truly huge volumes of semiconductor chips that they weren’t going to have any use for.
So what did they do? The obvious thing. They started to cancel those double and triple orders. And they eventually work their way down to canceling the original first orders.
What was happening at the semiconductor companies while all of this was going on?
As the initial order cancellations came in, semiconductor companies started to decrease the delivery times on the orders that had the farthest out shipping dates.
And as PC makers started to get notified that the chip order that was originally going to have shipped in 6 months was actually going to ship in 6 weeks or 2 weeks, well, these PC makers got even more aggressive about canceling orders.
This bubble-supported tower in the semiconductor industry began to collapse with astonishing speed.
By December 1984, exactly 12 months after the all-time high for the Book-to-Bill Ratio (1.66), the semiconductor industry printed an ALL-TIME LOW reading for the Book-to-Bill ratio of 0.61, which was shortly thereafter revised down to 0.58.
Let me emphasize this.
It only took 12 months for the semiconductor industry to go from (1) truly believing that they were in the best business times ever to (2) being in utter panic mode and knowing that they were in the worst times ever.
That’s how fast things can change.
The Beer Game
What I described above is not unique at all to the semiconductor industry.
You see the same thing play out time and time again across a wide range of industries and businesses.
Wherever you have a supply chain with human beings at every link of the chain making decisions about how much inventory would be smart to hold, you will see this kind of behavior happen.
As a matter of fact, the problem is so common that back in the 1960s, MIT Prof. Jay Forrester developed a simulation tool called “The Beer Game” to teach important supply chain concepts, including:
- How single parts in a system influence other parts.
- How individual thinking differs from thinking out the overall supply chain/ecosystem level.
- Challenges faced in today’s supply chains.
- Potential solutions.
This video is an excellent 4-minute introduction to the beer game if you would like to learn more.
