The China Mail - AI bust: Layoffs & Rent surge

USD -
AED 3.6725
AFN 65.999982
ALL 80.966223
AMD 364.5091
AOA 917.999725
ARS 1486.387201
AUD 1.422536
AWG 1.8
AZN 1.704144
BAM 1.694551
BBD 2.007165
BDT 123.058128
BHD 0.375771
BIF 2957.289469
BMD 1
BND 1.279037
BOB 11.833766
BRL 5.075797
BSD 0.996547
BTN 95.00457
BWP 13.588178
BYN 2.898979
BYR 19600
BZD 2.004306
CAD 1.40329
CDF 2275.00002
CHF 0.809103
CLF 0.023387
CLP 923.450522
CNY 6.751299
CNH 6.753795
COP 3135.28
CRC 452.623553
CUC 1
CUP 26.5
CVE 95.537428
CZK 20.999199
DJF 177.461628
DKK 6.48358
DOP 57.81694
DZD 132.825029
EGP 51.329696
ERN 15
ETB 159.25132
EUR 0.86735
FJD 2.21395
FKP 0.741868
GBP 0.742475
GEL 2.615021
GGP 0.741868
GHS 11.650082
GIP 0.741868
GMD 73.501128
GNF 8748.315882
GTQ 7.603831
GYD 208.464201
HKD 7.84258
HNL 26.702421
HRK 6.533603
HTG 130.307638
HUF 315.880376
IDR 17990
ILS 3.06295
IMP 0.741868
INR 95.141504
IQD 1305.52126
IRR 1375124.99977
ISK 123.160211
JEP 0.741868
JMD 157.76637
JOD 0.709026
JPY 156.548497
KES 129.100865
KGS 87.450055
KHR 4032.527088
KMF 427.000323
KRW 1429.535031
KWD 0.30914
KYD 0.830471
KZT 472.220176
LAK 22568.892393
LBP 89244.865336
LKR 334.547786
LRD 179.877402
LSL 16.483661
LTL 2.95274
LVL 0.60489
LYD 6.376038
MAD 9.309581
MDL 17.415338
MGA 4261.955613
MKD 53.306705
MMK 2099.556709
MNT 3594.538358
MOP 8.050686
MRU 40.051639
MUR 47.050055
MVR 15.460067
MWK 1728.002495
MXN 17.32064
MYR 4.090297
MZN 63.910262
NAD 16.483518
NGN 1360.579892
NIO 36.675865
NOK 9.48865
NPR 152.005996
NZD 1.698705
OMR 0.384382
PAB 0.996539
PEN 3.377319
PGK 4.4621
PHP 60.989502
PKR 276.76788
PLN 3.735902
PYG 5941.958039
QAR 3.643012
RON 4.551706
RSD 101.709894
RUB 79.361982
RWF 1462.962401
SAR 3.742629
SBD 8.081105
SCR 13.504971
SDG 600.000098
SEK 9.513985
SGD 1.28137
SLE 24.706225
SOS 569.497693
SRD 37.7815
STD 20697.981008
STN 21.227467
SVC 8.719724
SZL 16.481179
THB 33.320101
TJS 9.198085
TMT 3.51
TND 2.929676
TRY 47.540098
TTD 6.766797
TWD 32.254503
TZS 2641.536984
UAH 44.479256
UGX 3742.131689
UYU 40.097905
UZS 11928.970295
VES 745.696402
VND 26287
VUV 118.689846
WST 2.734491
XAF 568.339016
XAG 0.01718
XAU 0.000246
XCD 2.70255
XCG 1.796017
XDR 0.706831
XOF 568.339016
XPF 103.329665
YER 238.29611
ZAR 16.474541
ZMK 9001.196475
ZMW 18.720027
ZWL 321.999592
  • CMSC

    0.0300

    21.84

    +0.14%

  • CMSD

    0.0900

    22.11

    +0.41%

  • NGG

    -0.4200

    79.97

    -0.53%

  • BCC

    1.0000

    76.38

    +1.31%

  • VOD

    -0.3600

    15.78

    -2.28%

  • RYCEF

    -0.3100

    19.55

    -1.59%

  • RELX

    -1.1900

    35.42

    -3.36%

  • RIO

    -0.3300

    96.85

    -0.34%

  • BCE

    -0.0200

    21.68

    -0.09%

  • RBGPF

    0.0000

    69.21

    0%

  • JRI

    0.0900

    12.96

    +0.69%

  • BTI

    -1.0400

    60.65

    -1.71%

  • GSK

    -0.3800

    51.69

    -0.74%

  • AZN

    -1.7000

    169.64

    -1%

  • BP

    1.0000

    45.22

    +2.21%


AI bust: Layoffs & Rent surge




The promise of artificial intelligence lit a fuse under California’s economy. Silicon Valley investors showered startups with capital, corporations rushed to build data centers and new AI tools were heralded as the next gold rush. But behind the glossy marketing lies a darker reality: tens of thousands of workers have been laid off and an influx of high‑paid employees has pushed rents to record levels.

A wave of cuts across industries
California’s job market has been hammered in 2025. Employers in the state announced more than 173,000 job cuts in the first eleven months of the year, a rise of almost 14 % compared with the same period last year. By October, about 158,700 job losses had been announced – the highest tally of any state except the District of Columbia. While some cuts stem from weak consumer demand and film industry slowdowns, the adoption of AI has become a major driver. Industry trackers say that automation and new AI projects have been cited in over 48,000 job losses nationwide this year, with more than 31,000 of those cuts occurring in October alone. Since 2023, the introduction of AI tools has been mentioned in roughly 71,000 layoffs.

The technology sector has borne the brunt. Companies once seen as secure employers – from chip makers to software giants – have trimmed headcounts amid restructuring and cost‑cutting. Through November, tech firms announced more than 75,000 job cuts in California. Workers at Amazon, Intel, Salesforce, Meta, Paramount, Warner Bros. and Walt Disney have all been affected, and even Apple has joined the list of firms that rarely cut staff. Elsewhere, production studios have slashed positions after pandemic‑era strikes and slower streaming growth. Government austerity measures have compounded the pain, contributing to the highest U.S. layoff total since the first year of the pandemic.

Economists note that the layoffs are not limited to one sector. Warehousing, retail and services firms are also cutting staff as automation and AI make some roles redundant. Nationwide, employers announced more than 1.17 million layoffs this year, a five‑year high. The surge has pushed California’s unemployment rate to around 5.5 %, the highest of any state except Washington, D.C. Job seekers are finding it harder to secure new roles; labour market experts say it now takes longer to land a position than it did two or three years ago, a sign of softening demand.

An investment boom fuels speculation
Paradoxically, these job cuts coincide with feverish investment in artificial intelligence. Venture capital firms poured billions of dollars into AI companies in 2025, and California captured nearly 70 % of U.S. venture spending in the first half of the year. Private investment in AI topped $109 billion, while big tech firms collectively committed more than $400 billion to build data centres and purchase advanced chips. Amazon alone said it would invest up to $50 billion to expand supercomputing services. Such outsized spending has prompted warnings from economists and real‑estate forecasters: they argue that an AI‑fuelled stock market bubble is forming, reminiscent of the late‑1990s dot‑com boom, and that investor confidence could sour if expected returns fail to materialise.

Analysts at Challenger, Gray & Christmas highlight artificial intelligence as the second‑most common reason for layoffs after general cost‑cutting. In October, AI accounted for 31,039 announced job reductions, while cost‑cutting was responsible for 50,437. The firm’s data show that employers cited AI in nearly 48,400 job cuts during the first ten months of 2025. Hiring plans are also shrinking; companies have announced fewer than half a million new positions this year, the lowest level since 2011. Observers say the combination of aggressive hiring during the pandemic and rising interest rates has made employers more cautious, preferring to streamline operations and invest in automation rather than expand payrolls.

Housing costs soar amid an influx of AI talent
While thousands are losing jobs, a new wave of highly paid engineers and entrepreneurs is arriving to build the AI future. This influx has intensified California’s long‑running housing crisis and sent rents skyrocketing. The Bay Area is ground zero. In San Francisco, demand from AI start‑ups has made securing an apartment feel like a full‑time job. Prospective tenants submit résumés, offer several months’ rent in advance and often bid well above asking prices. Relocation consultants say strategic offers can run $2,000 over the advertised rent.

Specific examples illustrate the frenzy. A two‑bedroom apartment on Hayes Street recently leased for $4,500 a month, about 25 % higher than a year earlier. Across the city, the average rent for a two‑bedroom unit has climbed to roughly $4,600, a 14 % annual increase; rents on three‑bedroom homes are up 15 %, and four‑bedroom homes are up 17 %. One high‑end leasing agent reported listing a two‑bedroom unit in Pacific Heights for $12,000 a month, only to see it rent within 24 hours for $14,500. In North Beach, average two‑bedroom rents have reached $5,475 – a 79 % jump from last year – while the typical three‑bedroom in Russian Hill now costs around $12,500, also up 79 %. In the Mission District, rents on four‑bedroom homes have more than doubled from a year ago. Even mid‑market properties are seeing steep increases; one agent said a unit that cost $6,500 last year now goes for $9,800, a 50 % hike.

The situation is similar in other tech hubs. In San Jose, median rent across all unit types hovers near $2,900 per month, more than double the national median. One‑bedroom apartments average about $2,934, and two‑bedrooms about $3,506. Luxury units in downtown towers easily exceed $5,000. Vacancy rates around 4 % to 5 % indicate little slack in the market, and roughly 44 % of households rent rather than own. Los Angeles and Orange counties aren’t far behind: average rents were around $2,336 and $2,776 in late 2025 and are projected to rise over the next two years unless construction accelerates. Limited housing supply, high interest rates and strong job growth in aerospace and defense mean rents are likely to keep climbing.

For individuals caught in this squeeze, even modest accommodations can be unaffordable. One AI founder recently told of paying $2,300 a month for a tiny room in an Airbnb near the Mission district, sharing a bathroom with a dozen strangers. Young engineers describe spending weeks touring dozens of properties only to be outbid by wealthier newcomers. Some landlords demand tenant résumés, personal references and perfect credit scores before entertaining an application.

Looking ahead
California’s simultaneous surge of layoffs and soaring rents underscores the volatility of the current economic moment. On the one hand, artificial intelligence is driving innovation and attracting billions of dollars in investment. On the other, companies are trimming jobs, automating tasks and relying on smaller workforces. The mismatch between labour demand and housing supply has created a perfect storm: a softening job market for many workers and a brutal housing hunt for those still cashing in on the boom.

Economists caution that without significant increases in housing construction and more transparent investment practices, the state could repeat the cycles of past tech bubbles. Rising interest rates and high levels of debt could make financing new projects more expensive, while a sudden reversal in AI valuations could leave investors and employees alike exposed. For now, Californians are left navigating an economy where prosperity and precarity coexist, with mass layoffs and sky‑high rents serving as the starkest signs that the AI bubble’s promise comes with significant risks.