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GREED & fear: AI fatigue and rotation
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GREED & fear: AI fatigue and rotation
This is why the next quarterly earnings announcements for the hyperscalers due to commence on 22 July will
provide the next stress test for the AI story in general. Somewhat bizarrely to GREED & fear, the first quarter
earnings announcements in late April provided a bullish catalyst for the AI trade even though the hyperscalers
increased their projected capex to a massive 92% of their projected operating cash flow (see Exhibit 5).
Exhibit 5: Four major hyperscalers' capex as % of operating cash flow
40 (%) Four major US hyperscalers' capex/revenue (%) 100
capex/operating cash flow (RHS) 35 90
30 80
25 70
20 60
15 50
10 40
5 30
0 20
2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026E
Note: Capex forecasts for 2026 are based on the midpoint of the latest company guidance for Amazon, Alphabet, Meta and Microsoft,
excluding finance leases. Consensus forecasts for 2026 operating cash flow. Source: Bloomberg, Companies, Jefferies
Still it is also the case that Alphabet, Microsoft and Amazon, though not Meta, are perceived by investors as
direct beneficiaries of AI capex spending via their cloud computing divisions. This is why investors only
registered concerns about Meta’s increased capex spending when the first quarter earnings were announced
in late April. In terms of the individual companies, Microsoft expects to spend US$190bn in capex (including
finance leases) this year. Alphabet and Meta raised their 2026 capex guidance to US$180-190bn and US$125-
145bn respectively. While Amazon maintained its guidance at US$200bn. Still Meta is now reportedly planning
to build its own cloud business to sell excess AI capacity (see Bloomberg article: “Meta Is Planning a Cloud
Business to Sell AI Computing Power”, 1 July 2026).
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