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M4 MacBook Air Likely to Land in March, M5 MacBook Pro To Launch Before iPad Pro
According to reliable tipster Mark Gurman, the M4-equipped MacBook Air is now expected to launch sometime next month. Earlier leaks had hinted at a spec bump for the iPad Pro with the M5 chipset sometime in the middle of this year, although the grapevine now states that the M5 iPad Pro will only arrive sometime in 2026, with the M5 SoC first seeing the light of day in a refreshed MacBook Pro in the third quarter of this year. Unfortunately, no major design changes are expected for either of the upcoming devices - which makes sense, since the iPad Pro received a major update less than a year ago, and the MacBook Pro is expected to boast a major overhaul next year.
Interestingly, however, the M4-powered Mac Studio and Mac Pro are still on track for launch in the middle of this year, likely during WWDC. Of course, the M4 'Ultra' - and perhaps an even higher-end M4 SoC - will offer significantly higher core counts than M5-powered MacBook Pros, but it would certainly be quite off-putting to see Apple's highest-end Macs lag a full generation behind MacBook Pros less than half a year after launch. Although the M5 SoCs will continue leveraging TSMC's 3 nm process, the high-end Pro and Max SKUs are expected to integrate TSMC's SoIC technology, enabling 3D chip-stacking, with discrete GPU and CPU units for improved efficiency and cost-savings.
Interestingly, however, the M4-powered Mac Studio and Mac Pro are still on track for launch in the middle of this year, likely during WWDC. Of course, the M4 'Ultra' - and perhaps an even higher-end M4 SoC - will offer significantly higher core counts than M5-powered MacBook Pros, but it would certainly be quite off-putting to see Apple's highest-end Macs lag a full generation behind MacBook Pros less than half a year after launch. Although the M5 SoCs will continue leveraging TSMC's 3 nm process, the high-end Pro and Max SKUs are expected to integrate TSMC's SoIC technology, enabling 3D chip-stacking, with discrete GPU and CPU units for improved efficiency and cost-savings.