What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
Societe Generale strategist Albert Edwards sees a warning in the gap between the AI boom’s investment story and productivity evidence, according to a Dow Jones report republished by Tiger Brokers on October 8, 2026. His comparison is about the risk that a compelling growth narrative draws abundant capital before returns are proven—not evidence that the AI boom is a bubble or that the Asian crisis is about to repeat.
What did Albert Edwards say about AI and the Asian financial crisis?
The Dow Jones report says Edwards drew a parallel between today’s AI investment boom and the optimistic growth story surrounding Asian economies in the 1990s. The immediate prompt was a note by Apollo chief economist Torsten Slok discussing disappointing total factor productivity (TFP) readings. As the report presents it, investment in AI is evident, but the cited productivity data have not yet confirmed the gains investors expect.
Edwards’s concern, as quoted by the report, is that “too many people believed the beguiling narrative” and “lent these economies cheap, abundant capital which was misallocated.” He was referring to the Asian growth narrative; the comparison suggests a question for AI investment, not that the same lending or currency vulnerabilities are already present.
Slok described TFP as the portion of growth left after accounting for additional labor hours and machinery. When output rises without more measured labor or capital inputs, TFP rises, making it a useful proxy for efficiency and technological progress. Slok’s reported conclusion was that “the productivity payoff from AI remains a forecast, rather than an observation.” That describes what the cited aggregate data show, not proof that AI has no benefits: adoption can precede measurable economy-wide productivity gains, and TFP is neither instantaneous nor a complete measure of a technology’s value.
#1 Best Overall
- System Compatibility Note: This 2-slot card measures 271 x 112 x 39 mm and requires a single 12V-2x6-pin power connector. Please verify chassis and PSU compatibility before purchase.
- Dedicated Support: Please contact us directly through Amazon for any product questions or assistance you may require.
- Professional Intel Arc Pro B70 GPU: Built on the Intel Xe2-HPG architecture, it features 32 Xe cores and 256 XMX engines, designed to accelerate AI, rendering, and complex visualization workloads.
- Massive 32GB GDDR6 VRAM: Equipped with 32GB of high-speed GDDR6 memory on a 256-bit bus, running at 19 Gbps, which allows for handling large AI models and complex datasets locally.
- High-Performance Engine Clock: Delivers an engine clock of 2540 MHz, providing the compute power needed for demanding professional applications and AI inference.
What caused the 1997–1998 Asian financial crisis?
The crisis was not simply a case of disappointing productivity or a popular investment story going wrong. The Federal Reserve History account, written as of November 22, 2013, dates the episode from July 1997 through December 1998 and describes currency, banking, and cross-border funding stresses.
On July 2, 1997, Thailand devalued the baht against the U.S. dollar after speculative pressure had depleted official foreign-exchange reserves. The shock spread across East Asia. Currency, equity, and property markets weakened, capital flows reversed or slowed, growth contracted, and banks came under pressure.
Rank #2
- NVIDIA Volta GV100 Architecture — 4,608 CUDA Cores, 640 1st-Gen Tensor Cores delivering 14 TFLOPS FP32 and 112 TFLOPS deep learning performance for AI training, inference, HPC, and scientific computing workloads
- 32GB HBM2 ECC Memory — 900 GB/s Bandwidth — High-bandwidth memory on a 4096-bit bus with ECC error correction provides the memory capacity and throughput required for the largest AI models, simulations, and datasets
- PCIe 3.0 x16 Interface — 250W TDP — Standard PCIe Gen3 connectivity with passive cooling designed for enterprise rack server deployment in HPE ProLiant, Dell PowerEdge, and Supermicro platforms with adequate chassis airflow
- NVLink — Scale to 96GB Unified Memory — Connect two V100 GPUs via NVLink at 300 GB/s bi-directional bandwidth to scale GPU memory from 32GB to 96GB for larger AI training and HPC workloads
- Multi-Precision Computing — Supports FP64 (7 TFLOPS), FP32 (14 TFLOPS), FP16 (112 TFLOPS) and INT8 precision modes for flexible deployment across training, inference, and scientific simulation workloads
Why a currency shock became a regional crisis
Several vulnerabilities reinforced one another: rapid credit growth and leverage, doubtful loans, overheated property markets, current-account deficits, external debt, and heavy reliance on short-maturity foreign borrowing. Currency pegs had obscured some exchange-rate and funding risks. When currencies fell, borrowers owed more in local-currency terms on foreign debt, increasing distress and insolvency risks. Creditor pullbacks then spread pressure to economies thought to share similar vulnerabilities. International support and domestic policy changes helped stabilize affected economies and contributed to recovery.
Those mechanisms matter to the analogy. A technology valuation decline would not, by itself, be the same event as a regional crisis involving reserve pressure, currency exposure, banks, and foreign-currency debt.
Rank #3
- Professional AI & Creator Workstation: AMD Radeon AI PRO R9700 GPU with 32GB GDDR6 is engineered for AI development, professional content creation, and compute-intensive workloads.
- Massive 32GB Memory Capacity: 32GB of GDDR6 memory on a 256-bit bus provides ample bandwidth for large AI models, 8K video editing, and complex 3D rendering.
- Advanced RDNA 4 with AI Accelerators: 64 Compute Units with 3rd Gen Ray Tracing and dedicated 2nd Gen AI Accelerators for groundbreaking AI performance and visual computing.
- Professional Blower Cooling: Efficient single blower design exhausts heat directly out of the chassis, ideal for multi-GPU workstation and server configurations.
- Enterprise-Grade Thermal Solution: Vapor chamber heatsink with industrial Honeywell PTM7950 thermal interface material ensures reliable cooling under sustained professional loads.
Does weak productivity data mean AI is a bubble?
No. The Dow Jones report presents Slok’s concern that the productivity payoff has not yet shown up in the cited TFP readings, while also reporting Edwards’s acknowledgment that it may be too early for AI’s benefits to appear in the data. The original Apollo note and underlying statistical series were not directly reviewed for that report, so the present-day productivity claim should be understood as attributed commentary rather than an independently established measurement here.
The report also says Edwards cited economist Rob Parenteau’s view that net business investment was moving sideways while gross investment rose. Net investment accounts for depreciation; gross investment does not. If that reported pattern holds, it would raise a question about how much new productive capacity remains after replacing worn-out capital. But the underlying data series was not reviewed, so this is not a verified finding about current investment.
Rank #4
- System Compatibility Note: 2-slot card, 271x112x39mm, single 8-pin power, 200W TDP. Verify chassis clearance and PSU capacity before purchase.
- Dedicated Support: Please contact us directly through Amazon for any product questions or assistance you may require.
- 24GB GDDR6 on 192-Bit Bus: Massive 24GB memory with 456 GB/s bandwidth – ideal for LLMs, AI inference, 3D rendering, and generative design.
- Intel Xe2-HPG Architecture: Built on Intel's next-gen architecture with 20 Xe cores and 160 XMX engines for AI acceleration (197 INT8 TOPS).
- PCIe 5.0 Support: PCI Express 5.0 x16 interface for maximum bandwidth with the latest workstation platforms.
Even weak aggregate productivity readings would not settle whether particular firms or industries are gaining from AI. Nor do they show whether future gains will justify the money spent. The useful test is whether realized efficiency and cash flows eventually support the scale of investment and valuations—not whether one lagging aggregate measure has already delivered a verdict.
Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesHow do current comparisons with past technology booms differ?
Historical comparisons change with the period and assets selected. Two 2026 analyses offer context, but neither establishes that the AI market is repeating a particular past episode.
Best Value
- ATTENTION BUYERS: EXPORTING this item outside the U.S. requires strict compliance with the Bureau of Industry and Security (BIS) U.S. Export Administration Regulations (EAR). Non-compliance carries fines up to $1 MILLION PER VIOLATION AND UP TO 20 YEARS IMPRISONMENT for both the buyer and seller. To uphold our regulatory obligations, we strictly follow BIS "Know Your Customer" guidance by screening each order and immediately aborting transactions showing unresolved regulatory red flags. ***
- [Double-Flow-Through Design] The RTX PRO 6000 Blackwell features a double-flow-through cooling design, optimizing efficiency and airflow to sustain peak performance under 600W power loads. | [5th Gen Tensor Cores] Deliver up to 3X the performance of the previous generation and support for FP4 precision for faster AI model processing times with reduced memory usage, enabling local fine-tuning of LLMs and generative AI | [4th Gen Ray Tracing Cores] Double the ray-triangle intersection rate of the previous generation to create photoreal, physically accurate scenes and immersive 3D designs with RTX Mega Geometry, which enables up to 100X more ray-traced triangles.
- [PCIe Gen 5] Support for PCIe Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling. | [GDDR7 Memory] With 96 GB of GPU memory and 1.8 TB ps bandwidth, it can tackle massive 3D and AI projects, fine-tune AI models locally, explore large-scale VR environments, and drive larger multi-app workflows.
- [DisplayPort 2.1] Achieve unparalleled visual clarity and performance, driving high resolution displays at up to 8K at 240 Hz and 16K at 60 Hz. Increased bandwidth enables seamless multi-monitor setups while HDR and higher color depth support ensures superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.
- [NVIDIA Blackwell Streaming Multiprocessor] The new SM features increased processing throughput, and new neural shaders that integrate neural networks inside of programmable shaders | DLSS 4: Multi Frame Generation ensures ultra-smooth frame pacing for lifelike simulations. | [Universal MIG] Divide a single RTX PRO 6000 Blackwell into multiple isolated instances, each with dedicated resources, allowing for concurrent execution of multiple workloads, optimized GPU utilization, and secure isolation of different applications or users. [WARRANTY] 3 YR Manufacturer's Warranty. Bulk OEM Packaging. Retail Packaging is NOT included.
| Analysis | Comparison and reported finding | How to read it |
|---|---|---|
| Amundi Investment Institute, 2026 | Broad S&P 500 cumulative returns for 1995–1997 were approximately 39.5 percentage points higher than for 2023–2025. | Amundi says its TMT-versus-AI portfolio comparison looks more like the 1997–1999 speculative-bubble phase. It also describes the AI-stock rise as steadier, with more short-term corrections than late-1990s TMT stocks. The result depends on the portfolios and periods chosen. |
| European Central Bank, August 17, 2026 | The ECB says technology booms can end in valuation corrections under both rational and behavioral explanations, but their timing cannot be known in advance. | Its estimate of around €440 billion refers specifically to euro-area household exposure to U.S. technology equities, based on Q3 2025 holdings data and the authors’ calculations—not global AI exposure. The blog identifies fund redemptions as one possible channel for amplifying a correction. |
| Man Group, September 1, 2026 | The firm says its proprietary MacroScope model found the then-current landscape most similar to May 1997. | Man Group explicitly says conditions are not an exact replica and characterizes its stance as cautious pessimism rather than bearishness. This is the firm’s model-based commentary, not a forecast or independent validation of Edwards’s argument. |
What should investors examine beyond the analogy?
The comparison is most useful as a checklist of questions about returns, financing, and how stress could spread. The historical crisis supplies examples of vulnerabilities; it does not establish that they exist in today’s AI investment cycle.
- Productivity and cash flows: Are firms producing more or operating more efficiently, and are those gains becoming visible in output and financial results? Keep the limits of aggregate TFP in mind.
- Funding and refinancing: Is expansion financed from retained cash, equity, or debt? For debt, examine maturity, currency exposure, and refinancing needs. The Asian crisis shows why short-term foreign borrowing and currency mismatches can intensify a shock; do not assume those conditions apply to AI infrastructure.
- Investment after depreciation: Compare gross spending with investment net of depreciation. Edwards’s reported reference to Parenteau’s view is a reason to ask the question, not a verified answer about current investment.
- Valuation concentration and exposure: Ask which firms, funds, or investors carry the risk, and whether the comparison uses a broad index or technology-focused portfolios. The Amundi results show how the historical resemblance can change with that choice.
- Transmission channels: Consider whether losses could affect lenders, counterparties, funds, or cross-border funding. The Asian crisis spread through currency, banking, and creditor stresses; the ECB separately discusses fund redemptions as one possible channel for a technology-equity correction.
- Timing: Identify what could prompt repricing, but do not treat historical resemblance or a model’s closest match as a reliable calendar for a shock. The ECB says correction timing cannot be known in advance.
What the comparison does—and does not—tell us
Edwards’s analogy is a prompt to scrutinize whether investment and valuations are being matched by realized productivity and returns, and how that spending is financed. The 1997 crisis demonstrates how leverage, short-term foreign borrowing, currency exposure, and contagion can turn vulnerabilities into a broader financial event. The cited TFP concern and the analogy do not establish that AI is a bubble, that those crisis mechanisms are present today, or that a correction is imminent.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
Free tools Windows power users keep installed
One-click scans. No signup required.
