Doc #130 — Device Life Extension

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RECOMMENDED ACTIONS

Phase 1: Months 0–6

1. Issue national power management guidance for all personal devices. Broadcast and print the key messages: reduce screen brightness, disable unnecessary background services, keep devices cool, charge between 20–80% where possible, avoid leaving devices in direct sunlight or hot vehicles. Cost of delay: modest but cumulative — every month of unmanaged use accelerates battery degradation across millions of devices.

2. Include personal devices and IT equipment in the national asset census (Doc #8). Quantify the fleet: smartphones by approximate model generation, laptops by type, tablets, servers, networking equipment. Identify all commercial repair operations, independent repair technicians, and IT support businesses. Cost of delay: low in the first weeks, but the census informs all subsequent prioritisation.

3. Requisition commercial stocks of repair parts, tools, and supplies. This includes: replacement batteries (phone and laptop), display assemblies, charging cables and adapters, thermal paste, soldering equipment and supplies, precision screwdriver sets, diagnostic tools, and any component-level repair stock held by repair businesses and electronics distributors. Cost of delay: moderate — informal distribution will scatter these stocks within months.

4. Halt e-waste export and processing. NZ exports electronic waste for overseas recycling, primarily through operators such as RCN (Remarkit) and other MfE-accredited e-waste recyclers.⁵ All e-waste in the country — at collection points, council transfer stations, recyclers, and in the waste stream — should be redirected to controlled storage as a component donor pool. Every discarded phone contains potentially useful ICs, capacitors, connectors, and battery cells.

5. Identify and protect the repair workforce. Designate electronics repair technicians, IT support professionals, and biomedical equipment technicians as essential workers. Prevent their reassignment to other labour mobilisation.

Phase 1: Months 6–12

6. Establish regional device repair centres. At minimum: Auckland (2–3 centres given population), Wellington, Christchurch, Hamilton, Tauranga, Dunedin, and at least one serving the upper South Island (Nelson/Marlborough). Co-locate where possible with existing repair businesses or polytechnic electronics workshops (e.g. Unitec Auckland, Whitireia Wellington, Ara Christchurch, Otago Polytechnic Dunedin). Equipped with soldering stations, hot air rework tools, multimeters, oscilloscopes, microscopes, and parts inventory from the requisitioned stock and cannibalisation programme.

7. Launch repair technician training programme. Target: 500–1,000 additional repair-capable technicians within 2 years, drawn from electronics hobbyists, IT professionals, electrical apprentices, and technically apt volunteers. Training through existing polytechnics, supplemented by practical apprenticeships at repair centres. Integrate with Doc #157 (Trade Training).

8. Begin systematic device triage and cannibalisation. Classify all devices entering the system into: repair and return to service, harvest for parts, or recycle for materials. Strip failed devices systematically — batteries, displays, cameras, speakers, connectors, passive components, and board-level ICs all have potential donor value.

9. Establish a device prioritisation framework. Assign devices to priority tiers (Section 5) based on their function in the recovery infrastructure. Allocate repair resources accordingly.

Phase 2–3: Years 1–7

10. Expand the repair workforce to 1,500–2,000 technicians nationally. As the device fleet ages and failure rates increase, repair demand grows. Training pipeline must stay ahead of demand.

11. Transition lower-priority applications to shared devices. As the fleet shrinks, personal device ownership becomes unsustainable for non-essential uses. Community access terminals — shared laptops or desktops at libraries, marae, community centres — serve more people per device. Marae are particularly effective access points in rural areas, where they already function as community hubs; a shared device maintained by a locally trained operator extends digital access well beyond the point where individual ownership is sustainable. Performance gap: shared terminals provide far less access than personal devices — users must travel to the terminal location, wait for availability, and lose the always-on communication and data access that personal devices provide. In rural NZ, where the nearest community centre may be 20–50 km away, this transition significantly reduces effective digital access.

12. Develop software tools for fleet management. Lightweight operating systems (Linux-based) that reduce processing load and extend battery life on aging hardware. Custom power management profiles. Offline-capable applications that minimise network traffic and processor demand.

13. Begin laptop-to-desktop conversion programme. Laptops with failed batteries but functional boards can be repurposed as permanently plugged-in desktop machines using external monitors, keyboards, and power supplies. This bypasses the battery constraint entirely for fixed-location use. Performance gap: converted laptops lose portability entirely, consume external peripherals from the finite stock (monitors, keyboards), typically have lower processing power and smaller RAM capacity than equivalent-era desktops, and are more prone to overheating when run continuously without battery-mediated power management. They are a meaningful but degraded substitute for purpose-built desktops.

Phase 4+: Years 7–15

14. Managed fleet contraction. The device fleet is now declining rapidly. Consolidate surviving devices at the highest-priority institutions. Ensure all critical knowledge has been transferred to durable media (print, USB drives — Doc #132, Doc #5).

15. Transition to locally manufactured computing as it becomes available (Doc #135). The discrete transistor and early IC computers described in Doc #135 will not replace smartphones, but they can take over computational workloads (logistics, engineering calculations, record-keeping) currently served by personal devices. Performance gap: locally manufactured computers will be orders of magnitude slower than pre-event devices — comparable to 1970s–1980s minicomputers rather than modern PCs. They will lack graphical displays, networking capability, and the software ecosystem of modern devices. They are a replacement for computational function, not for the user experience or versatility of modern personal electronics.

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ECONOMIC JUSTIFICATION

The value of the device fleet

The device fleet is an enabler of other recovery capabilities, not a standalone asset. Its economic value is measured by what it enables:

• Access to the AI inference facility (Doc #129): The facility generates enormous value — estimated at 10–30 person-years of specialist labour equivalent per year — but only if people can access it. Every terminal that fails reduces the facility’s effective reach.
• Telecommunications access (Doc #129): NZ’s domestic telecom network continues functioning, but a network without terminal devices is useless. The device fleet is the human interface to the network.
• Data access: Recovery Library documents, medical references, engineering databases, agricultural planning tools, educational materials — all stored digitally and accessed through personal devices or shared terminals.
• Software tools: Spreadsheets for logistics planning, databases for the skills census, design software for engineering, medical records systems. These are productivity tools with no physical substitute.

The cost of not acting

Without a managed programme, the device fleet declines according to its natural attrition curve. The difference between managed and unmanaged decline is estimated at 2–5 additional years of fleet viability — translating to 2–5 additional years of access to digital infrastructure at meaningful scale.⁶

Programme cost

• Repair centres (6–10 nationally): 50–100 person-years per year for staffing, including technicians, logistics, and training.
• Training programme: 20–40 person-years per year for instructors and curriculum development.
• Cannibalisation logistics: 10–30 person-years per year for parts management, shared with the broader cannibalisation programme (Doc #88).
• Total: Approximately 80–170 person-years per year.

Return

If the programme extends meaningful device fleet viability by 2–5 years (the range estimated above), and the fleet enables access to the AI facility, telecommunications, and digital tools serving the equivalent of 500–2,000 person-years of specialist productivity per year, the return on investment is roughly 6:1 to 50:1 depending on the extension achieved and productivity enabled. These figures are highly uncertain but illustrate the asymmetry: the labour cost of device maintenance is modest relative to the capabilities the devices enable.

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1. NZ DEVICE INVENTORY

1.1 Smartphones

NZ had approximately 5.2–5.5 million active mobile connections as of 2024, with smartphone penetration above 90% among adults.⁷ Not all connections represent unique devices (some people have multiple SIMs), but accounting for inactive devices in drawers and unused phones, the total smartphone population in NZ is estimated at 6–8 million units. This includes a wide range of ages and capabilities — from current-generation models to devices 5–8 years old that are still physically functional.

Age distribution (estimate): Roughly 30–40% of smartphones in NZ are less than 2 years old, 30–40% are 2–4 years old, and 20–30% are over 4 years old. The older segment includes both active secondary devices and unused phones stored in households. This age distribution matters because older devices fail sooner — they are closer to battery end-of-life and more likely to have accumulated wear.⁸

Brands: NZ’s smartphone market is dominated by Apple (iPhone) and Samsung, with significant shares from Google, Xiaomi, Oppo, and others.⁹ Brand matters for repairability — Apple devices use proprietary components and software locks that complicate third-party repair. NZ has no right-to-repair legislation as of 2025, though Apple has begun offering self-service repair parts in some markets, and NZ-based third-party repairers (e.g. through PBTech and independent shops) have developed workarounds for common repairs.¹⁰ Samsung and most Android manufacturers use more standardised components, making them generally easier to service with available NZ repair skills.

1.2 Laptops and desktops

NZ has approximately 2.5–3.5 million laptop computers and 500,000–1,000,000 desktop computers in homes, businesses, and institutions.¹¹ Laptops significantly outnumber desktops — the shift to portable computing has been nearly complete for personal and business use. Desktops persist primarily in commercial settings (office workstations), education, and specialist applications (servers, CAD workstations, gaming).

Laptops are the most strategically valuable personal devices for recovery. They have larger screens than phones (usable for document reading, engineering drawings, medical references), full keyboards for extended work, more processing power, and — critically — can often be operated plugged in when the battery fails. A laptop with a dead battery and a working AC adapter is a functional desktop computer.

Desktops have the longest intrinsic lifespan. They contain no battery, run from grid power, have replaceable components in standard form factors, and generate less thermal stress because they have more space for cooling. A well-maintained desktop can operate for 10–20 years. The limiting components are electrolytic capacitors on the motherboard and power supply (typical life 7–15 years), hard drives or SSDs (5–15 years), and fans (4–8 years).¹²

1.3 Tablets

NZ has an estimated 1–2 million tablets (iPad, Samsung Galaxy Tab, and others).¹³ Tablets share most failure modes with smartphones — sealed batteries, limited repairability — but with larger battery capacity and often lighter use patterns, which may extend their practical lifespan slightly. Their utility for recovery is similar to laptops but with the limitation of less capable input methods for extended work.

1.4 Servers and networking equipment

NZ’s data centres, businesses, and government agencies operate an estimated 50,000–100,000 servers and a much larger number of networking devices (routers, switches, wireless access points, firewalls).¹⁴ These are covered in more detail in Doc #127 (Telecommunications Maintenance), but they are noted here because they share failure modes with personal devices and draw from the same pool of electronic components.

Server hardware is generally built to higher reliability standards than consumer equipment (redundant power supplies, ECC memory, better cooling) and has longer useful life — 7–15 years for well-maintained enterprise servers. Networking equipment varies widely, from consumer-grade Wi-Fi routers (5–10 years) to enterprise switches and routers (10–20 years).

1.5 Total fleet estimate

Device Category	Estimated NZ Units	Strategic Value	Expected Useful Life (from event)
Smartphones	6,000,000–8,000,000	Medium (communication, basic data access)	3–7 years (battery-limited)
Laptops	2,500,000–3,500,000	High (work terminals, document access)	5–15 years (longer if battery bypassed)
Tablets	1,000,000–2,000,000	Medium (similar to phones, larger screen)	4–8 years (battery-limited)
Desktops	500,000–1,000,000	High (no battery constraint, longest life)	10–20 years
Servers	50,000–100,000	Critical (infrastructure)	7–15 years
Networking equipment	200,000–500,000	Critical (Doc #127)	5–20 years (varies)

Total personal devices: approximately 10–14.5 million. This is more than two devices per person in NZ’s population of approximately 5.2 million. The surplus is a strategic asset — every unused phone is a potential parts donor.

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2. COMMON FAILURE MODES

2.1 Battery degradation (the dominant failure mode)

Lithium-ion batteries degrade through calendar aging and cycle aging, regardless of use (see Doc #35 for detailed chemistry). The practical result: a smartphone battery that provided a full day of use when new provides half a day after 2–3 years and becomes effectively unusable after 3–5 years. A laptop battery follows a similar trajectory but on a slightly longer timeline due to typically larger capacity and often less intensive cycling.

Key parameters:

• Calendar aging: 2–4% capacity loss per year at 25°C and 50% state of charge. Faster at higher temperatures and higher states of charge.¹⁵
• Cycle aging: each full charge-discharge cycle reduces capacity by approximately 0.02–0.05%. A battery that experiences one full cycle per day degrades noticeably within 2–3 years.¹⁶
• End-of-useful-life threshold: typically 70–80% of original capacity for portable devices (the device becomes inconvenient but not non-functional), declining to 50% or below where the device cannot complete basic tasks between charges.

The battery bottleneck: NZ has no lithium-ion battery cell manufacturing capability and no prospect of developing one within the planning horizon of this document (see Doc #35, Section 8). The existing battery stock is finite and irreplaceable. When a device’s battery fails, the only options are: transplant a battery from a donor device, bypass the battery (run from external power where possible), or retire the device.

2.2 Display failure

Display panels — LCD, OLED, and AMOLED — fail through several mechanisms:

• Physical damage: Cracked screens from drops or impacts. The most common repair for smartphones pre-event. Replacement requires a donor display or stock replacement panel.
• Backlight failure (LCD): LED backlights dim over time but typically last 30,000–50,000+ hours — 10+ years of normal use.¹⁷ Not a near-term concern.
• OLED burn-in: OLED and AMOLED panels (used in most premium smartphones) degrade unevenly — static elements cause permanent image retention over time. This is cosmetic degradation that does not prevent use but worsens progressively.
• Connector and ribbon cable failure: The flexible cable connecting the display to the main board can fail from repeated flexing (in foldable devices) or corrosion. Repairable by a skilled technician with donor parts.

2.3 Storage degradation

• NAND flash memory (used in smartphones, SSDs, and tablets) degrades with write cycles and over time. Enterprise-grade SSDs under read-heavy workloads last 7–15 years. Consumer-grade flash in smartphones may last somewhat less, though typical write patterns are well within flash endurance ratings.¹⁸
• Mechanical hard drives (still present in some laptops and most older desktops) have moving parts — spinning platters and read/write head assemblies — that eventually fail. Typical life: 3–7 years under heavy use, potentially longer with light use and good environmental conditions.¹⁹

2.4 Electrolytic capacitor aging

The same failure mode that affects telecommunications equipment (Doc #127, Section 2.1) applies to personal devices. Electrolytic capacitors in power circuits (chargers, power supplies, motherboards) dry out over time, causing equipment to become unstable or fail to power on. Typical lifespan: 5,000–15,000 hours at rated temperature.²⁰ In personal devices, this translates to roughly 7–20 years depending on operating temperature and component quality.

Capacitor replacement is a standard repair for skilled technicians — but it requires replacement capacitors (available from donor devices or bulk stock) and soldering capability. The dependency chain for this repair includes: replacement capacitors of the correct voltage rating and capacitance (from donor boards or NZ-held electronic component distributor stock, e.g. RS Components NZ, Element14/Farnell NZ warehouses); a temperature-controlled soldering station with fine tips; flux and solder wire (finite imported consumables — NZ can produce tin-lead solder from domestic tin sources only if a tin smelting capability is established, which is not a near-term prospect); and for surface-mount components, a hot air rework station, flux paste, and magnification (stereo microscope or high-quality loupe).²¹

2.5 Software degradation

Software does not wear out, but it becomes problematic in several ways:

• Certificate expiry: SSL/TLS certificates used for secure web connections have expiry dates. As certificates expire and certificate authorities become unreachable, secure web browsing progressively fails. Workarounds exist (disabling certificate checking, issuing local certificates) but require technical skill.
• Date-related bugs: Some software may fail at specific dates due to hardcoded assumptions. The Y2K problem is the best-known example, but similar issues occur at smaller scale in individual applications.
• OS update dependencies: Modern operating systems increasingly refuse to run without updates. Applications designed for newer OS versions may not run on older hardware. This is a solvable problem — NZ’s software engineering workforce (concentrated in Auckland and Wellington, with smaller clusters in Christchurch and Hamilton) can patch, fork, and maintain local versions of critical software.
• DRM and activation: Software requiring online activation or periodic license verification will eventually become unusable when the servers cannot be reached. NZ’s software engineers can potentially bypass these restrictions, though legal considerations are moot under recovery conditions.

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3. BATTERY LIFE EXTENSION

Battery degradation is the dominant driver of device fleet attrition. Extending battery life is the single highest-leverage technical intervention.

3.1 Power management guidance (population-wide)

The following guidance should be broadcast nationally and printed as a simple flyer:

Temperature is the most important factor. Heat accelerates lithium-ion degradation. Every 10°C above 25°C roughly doubles the degradation rate.²² Specific actions:

• Never leave devices in direct sunlight, in parked vehicles, or on heat-generating surfaces
• Store unused devices in cool, shaded locations
• Remove phone cases during charging if the device gets warm
• Avoid using devices while they charge (generates additional heat)

Charge state management:

• Avoid charging to 100% if possible. Stop at 80% if the device allows it. Many modern smartphones and laptops have built-in charge limiters — enable them.
• Avoid discharging below 20%.
• For devices in long-term storage, maintain at 40–60% state of charge. Check and recharge every 2–3 months.²³

Reduce cycling frequency:

• Reduce screen brightness (the display is the largest single power consumer on most devices)
• Disable Wi-Fi, Bluetooth, and cellular when not actively using them
• Disable background app refresh, location services, and push notifications
• Disable animations and live wallpapers
• Use airplane mode when not requiring connectivity
• Turn the device off entirely when not in use

Charging practices:

• Use the original charger or a known-good quality charger. Poorly regulated chargers can overcharge cells and accelerate degradation.
• Avoid wireless charging where possible — it generates more heat than wired charging, accelerating degradation.²⁴
• Charge at moderate rates. Fast charging generates significantly more heat. If the charger supports it, use a slower charging mode.

3.2 Institutional power management

For laptops and desktops serving institutional functions (government offices, hospitals, schools, repair centres):

• Plug in whenever possible. A laptop running continuously from AC power with the battery at 50–80% minimises cycling and extends battery life enormously.
• Centralise charging. Charge devices at designated stations with appropriate chargers rather than from random outlets with unknown adapters.
• Implement sleep and shutdown schedules. Devices should sleep or power off when not actively in use. A machine running 24/7 when needed 8 hours/day triples its component-hours for no benefit.
• Reduce processing load. Install lightweight operating systems (lightweight Linux distributions such as Lubuntu, Alpine, or Puppy Linux run well on hardware over a decade old). NZ polytechnics with IT programmes — Unitec, Whitireia, Otago Polytechnic — could develop and distribute standardised lightweight OS images tailored to NZ recovery applications. Uninstall unnecessary software. Disable visual effects and animations.

3.3 Battery transplant and bypass

Battery transplant: When a high-priority device’s battery fails, a compatible battery can be transplanted from a lower-priority donor device of the same model or a compatible model. This is the most common repair and the one that most directly extends fleet life.

For phones: battery replacement varies in difficulty from straightforward (devices with removable backs — increasingly rare in modern designs) to technically demanding (devices with glued-in batteries requiring heat guns, suction cups, and careful prying). An experienced technician can replace a phone battery in 15–60 minutes depending on the device.²⁵

For laptops: many laptop batteries are accessible from the underside via screws. Some are glued in (particularly Apple MacBooks from 2012 onward). Replacement is generally easier than phone batteries.

Battery bypass: Laptops with dead batteries can run directly from AC power, converting them to stationary desktop replacements. Most laptops support this natively — remove or leave the dead battery in place and operate from the charger. The device loses portability but retains all functionality.

For phones and tablets without removable batteries, bypass is more complex but possible. Some devices can operate from a continuous USB power connection even with a dead battery, though behaviour varies by manufacturer. A technician can sometimes remove a dead battery and solder a connection for external power, though this requires device-specific knowledge and introduces safety considerations.

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4. REPAIR WORKFORCE DEVELOPMENT

4.1 The existing base

NZ’s electronics repair workforce includes:

• Phone and computer repair shops: NZ has an estimated 200–500 independent and franchise repair businesses (iFixit-style independent shops, PBTech service centres, Noel Leeming service departments, independent operators).²⁶ These businesses vary widely in capability — from screen replacement and data recovery (common) to component-level board repair (rare).
• IT support professionals: NZ’s IT sector employs approximately 50,000–60,000 people, but the vast majority are software developers, network administrators, project managers, and support desk staff.²⁷ The subset with hands-on hardware repair skills — soldering, component testing, board-level diagnosis — is much smaller, perhaps 2,000–5,000.
• Electronics hobbyists and makers: NZ has an active maker community, amateur radio operators with electronics skills (Doc #126), and hobbyists with varying levels of repair capability. These represent an untapped repair workforce.
• Biomedical equipment technicians: A small but highly skilled group maintaining medical electronics (Doc #126). Their skills in precision electronics repair are directly transferable to device repair.
• Electrical and electronics trade workers: NZ has approximately 14,000–18,000 registered electricians, some of whom have electronics experience.²⁸ The subset with component-level soldering and diagnostic skills is probably small but not negligible.

Honest assessment: The number of people in NZ who can diagnose a fault on a smartphone motherboard, identify a failed component, desolder it, and replace it from a donor board is probably in the range of 100–500. This estimate is not based on survey data — no such survey exists — but on the small number of NZ businesses advertising board-level microsoldering services and the known rarity of this skill globally.²⁹ This is the bottleneck. Screen replacement and battery swaps are accessible skills that can be taught in weeks; board-level repair requires months of training and significant practice.

4.2 Training pipeline

Tier 1: Basic repair (4–8 weeks training)

Skills: Screen replacement, battery replacement, connector repair, data transfer between devices, basic software troubleshooting, device triage (repair vs. harvest decision), safe disassembly and reassembly, basic soldering of through-hole components.

Target: 1,000+ technicians within 2 years.

Trainee sources: IT support workers, electricians, electronics hobbyists, technically apt volunteers.

Tier 2: Intermediate repair (3–6 months training, including apprenticeship)

Skills: Surface-mount soldering and desoldering (hot air rework), component-level diagnosis using multimeters and oscilloscopes, power circuit repair (capacitor replacement, voltage regulator replacement), charging circuit diagnosis, basic data recovery from damaged storage. Consumable dependency: Tier 2 repair consumes solder wire, flux, soldering iron tips, and isopropyl alcohol for board cleaning — all imported consumables with finite NZ stocks. Solder wire stocks should be requisitioned and allocated through the repair centre network (see Doc #1).

Target: 300–500 technicians within 3 years.

Trainee sources: Tier 1 graduates with aptitude, existing electronics technicians cross-training, polytechnic electronics students.

Tier 3: Advanced repair (6–12 months training, ongoing mentorship)

Skills: BGA (ball grid array) chip reballing and replacement, microsoldering, board-level logic diagnosis, firmware flashing and software bypass, custom modification (battery bypass, display adaptation from different models), IC-level cannibalisation.

Target: 50–100 technicians nationally.

Trainee sources: Tier 2 graduates with exceptional aptitude, existing board-level repair specialists mentoring new technicians.

4.3 Training resources

• Existing polytechnic electronics programmes at Unitec, Otago Polytechnic, Whitireia, and others provide foundational electronics theory. These should be expanded and reoriented toward practical repair.
• iFixit repair guides are freely available and device-specific. If NZ has cached a copy of iFixit’s database (or can access it via the domestic internet if it was NZ-hosted or mirrored), it provides step-by-step instructions for thousands of devices.
• Practical apprenticeship is the most effective training method for board-level repair. Each experienced technician should take on 2–3 apprentices.
• Salvage devices for practice. The surplus device population provides an essentially unlimited supply of practice units. Trainees should practise on low-value devices before working on high-priority units.
• Distribute training to rural centres. Repair training should reach beyond Auckland, Wellington, and Christchurch. Regional polytechnics, iwi-based training programmes, and marae-hosted workshops can develop repair capability in rural communities that would otherwise depend entirely on urban repair centres.

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5. DEVICE PRIORITISATION

5.1 Priority framework

Not all devices serve equal recovery value. Repair resources — technician time, donor parts, replacement batteries — are finite and must be allocated to maximise recovery value.

Tier 1 — Critical infrastructure (unrestricted repair resources):

• Servers and networking equipment supporting domestic telecommunications (Doc #129)
• AI inference facility hardware (Doc #129)
• Medical facility systems (patient records, diagnostic equipment interfaces, laboratory instruments)
• Government coordination systems (Civil Defence, emergency management, logistics databases)
• Water treatment and power generation control systems (SCADA interfaces, monitoring stations)

Tier 2 — Recovery-essential workstations (priority repair):

• Engineering workstations (CAD, structural analysis, electrical design)
• Agricultural planning and record-keeping systems
• Educational institutions — devices supporting technical training
• Scientific research equipment interfaces
• Printing and document preparation systems (Doc #5, Doc #29)
• Skills census and logistics databases (Doc #8)

Tier 3 — General workforce productivity (standard repair queue):

• Office laptops and desktops supporting general government and organisational work
• Community access terminals at libraries, marae, and community centres
• Communication devices (phones) for essential workers

Tier 4 — Personal and non-essential (no dedicated repair resources; self-service guidance provided):

• Personal entertainment devices
• Redundant household devices
• Non-essential commercial equipment

Tier 4 devices are the primary donor pool. When they fail, they are harvested for parts to sustain Tiers 1–3.

5.2 The smartphone vs. laptop question

When allocating repair resources between smartphones and laptops, laptops should generally receive priority:

• Laptops have larger screens, full keyboards, and more processing power — more useful for work
• Laptops can bypass dead batteries by running from AC power — smartphones generally cannot
• Laptop components are often more standardised and accessible for repair
• Laptop useful life is intrinsically longer

Smartphones remain important for communication (voice, text, basic data access) but their sealed designs and battery dependency make them a worse investment of repair resources per device.

The exception is smartphones serving as the sole communication device for essential workers in mobile roles (field repair technicians, agricultural extension workers, health visitors, Civil Defence coordinators). For these users, a functional phone is a high-priority item.

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6. CANNIBALISATION AND COMPONENT HARVESTING

6.1 Integration with Doc #88

Device cannibalisation should operate within the broader spare parts triage framework established in Doc #88. Electronic devices are Category 4 (donor pool) for the general cannibalisation programme when not serving a recovery-critical function.

6.2 Harvesting priorities

When stripping a failed device for parts, harvest in this order:

1. Battery — If still holding charge above 60% capacity, transplant to a same-model or compatible device. Even partially degraded batteries (40–60% original capacity) are valuable for stationary or emergency use.
2. Display assembly — Complete display modules (panel + digitiser + frame) are the most valuable component after batteries. Cracked screens with functional digitisers can still serve non-primary roles.
3. Cameras — Phone cameras are increasingly used for documentation, quality control photography, and barcode/QR reading in logistics.
4. Storage chips (NAND flash) — Where extractable, flash memory can potentially be reused, though this requires advanced skills.
5. Connectors and cables — USB ports, ribbon cables, SIM trays, antenna flex cables. Small parts that frequently fail due to wear.
6. Passive components — Capacitors, resistors, inductors. Useful for repair of any electronic equipment, not just personal devices.
7. Speakers and microphones — Functional audio components for transplant or repurposing.
8. Board-level ICs — Processor chips, memory controllers, power management ICs. Requires Tier 3 skills to extract and reuse. Useful only for same-model transplants in most cases.
9. Cases and structural components — Frames, back covers, buttons, screws. Low individual value but needed for physical repairs.

6.3 Standardisation benefits

Where possible, consolidate the device fleet around a smaller number of models. If a region has 10,000 smartphones across 50 different models, repair is complicated by the need for model-specific parts. If 3,000 of those are Samsung Galaxy A-series devices, concentrating repair resources on those 3,000 and harvesting the remaining 7,000 for general components creates a more efficient repair operation.

This requires the device census (Action 2) to identify which models are most numerous and most repairable, and then prioritising those models for continued service while directing other models toward the donor pool.

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7. DEVICE FLEET DECLINE CURVES

7.1 Projected fleet trajectory

The following estimates represent the fraction of each device category remaining in functional service, assuming a managed repair and cannibalisation programme. Without a programme, subtract approximately 20–30% from each figure.

Year	Smartphones	Laptops	Tablets	Desktops
0 (event)	100%	100%	100%	100%
1	90–95%	95–98%	90–95%	98–99%
3	60–75%	80–90%	60–75%	90–95%
5	30–50%	60–80%	30–50%	80–90%
7	15–30%	40–60%	15–30%	70–85%
10	5–15%	20–40%	5–15%	50–70%
15	1–5%	5–15%	1–5%	30–50%

³⁰

Key observations:

• Smartphones decline fastest — battery-limited, sealed designs, most fragile physically. By Year 7, the majority of the smartphone fleet is non-functional.
• Desktops decline slowest — no battery constraint, replaceable components, better cooling. A substantial fraction of NZ’s desktop fleet could survive 15+ years with competent maintenance.
• Laptops occupy a middle position — battery-limited for portable use but convertible to desktop use when the battery fails. The “laptop operating as desktop” population extends the useful laptop fleet considerably.
• All categories experience accelerating decline in Years 5–10 as batteries reach end-of-life in bulk, electrolytic capacitors age out, and the cannibalisation donor pool becomes depleted.

7.2 Implications for recovery planning

• Years 0–3: The device fleet is substantially intact. This is the window for maximum knowledge extraction and transfer to durable media (Doc #132, Doc #5). Do not assume devices will be available indefinitely.
• Years 3–7: The fleet is contracting noticeably. Shared-device models become necessary. Repair centres are at peak workload. Prioritisation is critical.
• Years 7–15: Only devices serving critical functions remain operational. Most personal computing has ceased. The transition to locally manufactured computing (Doc #135) becomes the primary path forward.
• Year 15+: Pre-war personal devices are effectively exhausted. Any surviving units require disproportionate maintenance effort per unit (scarce components, specialist technician time) and serve only niche functions that have not yet transitioned to locally manufactured alternatives or non-digital methods.

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8. CRITICAL UNCERTAINTIES

Uncertainty	Why It Matters	How to Resolve	Impact if Adverse
Actual device fleet size and age distribution	Determines baseline for all fleet projections	National asset census (Doc #8)	If fleet is older than assumed, decline curves compress
Battery degradation rate under managed conditions	Determines how much power management extends fleet life	Empirical monitoring of managed device cohorts	If degradation is faster than expected, smartphone useful life may be only 2–4 years
Number of existing repair-capable technicians	Determines how quickly repair programme can scale	Skills census; direct survey of repair businesses	If fewer than estimated, training must start from a smaller base
Component compatibility across device models	Determines cannibalisation efficiency	Technical assessment during device census	If cross-model compatibility is very low, cannibalisation yields fewer usable parts
Software lock-in and DRM restrictions	Determines whether devices can be maintained without manufacturer cooperation	Assessment by software engineers; development of bypass tools	If bypasses prove difficult, some device models become unusable sooner
Nuclear winter effects on temperature-dependent degradation	Cooler ambient temperatures slow battery and capacitor aging; reduced sunlight may affect solar-charged devices	Empirical monitoring	Likely net positive for device life (cooler temperatures)
Rate of accidental damage under recovery conditions	Harsher conditions may increase physical damage rates	Monitoring	If accidental damage is high, fleet decline accelerates

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9. CROSS-REFERENCES

Document	Relevance to This Document
Doc #1 — National Emergency Stockpile Strategy	Framework for requisitioning device stocks and repair supplies
Doc #5 — Printing and Document Supply	Durable media alternative as device fleet declines
Doc #156 — Skills Census	Device census and repair workforce identification
Doc #135 — Computer Construction	Long-term replacement for personal computing capability
Doc #29 — National Printing Plan	Knowledge transfer from digital to print before fleet expires
Doc #35 — Battery Management	Battery chemistry, lithium-ion management, lead-acid alternatives
Doc #88 — Spare Parts Triage	National cannibalisation framework; device cannibalisation integrates with this
Doc #91 — Machine Shop Operations	Fabrication of repair tools and fixtures
Doc #127 — Telecommunications Maintenance	Network equipment shares failure modes; devices are the user terminals
Doc #128 — HF Radio	Communication alternative as device-dependent telecom contracts
Doc #129 — AI Inference Facility	Devices are the access terminals; fleet decline reduces facility reach
Doc #144 — Emergency Powers	Legal authority for device requisition and e-waste redirection
Doc #157 — Trade Training	Training pipeline for repair technician workforce
Doc #115 — Semiconductor Processing Roadmap	Long-term pathway toward domestically produced semiconductor components
Doc #160 — Heritage Skills	Older electronics repair knowledge capture

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FOOTNOTES

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1. NZ device population estimate based on population of approximately 5.2 million and device penetration data from NZ Commerce Commission telecommunications monitoring and industry sources. Multiple devices per person is standard in developed countries — most adults have a phone and at least one other device. The 8–12 million figure is an estimate aggregating phones, laptops, tablets, and desktops; actual numbers should be established through the national asset census (Doc #8). Server and networking equipment numbers estimated from NZ data centre industry data and telecommunications operator reports.↩︎

2. NZ electronics repair workforce estimate. There is no comprehensive count of electronics repair technicians in NZ. The estimate of 500–2,000 is based on: the number of independent and franchise repair businesses (estimated 200–500 outlets); an assumption of 1–5 technicians per outlet; plus individual practitioners, IT support professionals with hardware skills, and hobbyists. The lower bound (500) represents people whose primary occupation is hands-on electronics repair. The upper bound (2,000) includes IT professionals with significant hardware repair experience as a secondary skill. This figure requires verification through the skills census (Doc #8).↩︎

3. The trend toward reduced repairability in consumer electronics is well-documented by iFixit repairability scores and advocacy organisations such as The Repair Association. Specific examples: Apple began soldering RAM in MacBooks from 2012 and SSD storage from 2016; Samsung Galaxy phones shifted from removable to glued-in batteries starting with the Galaxy S6 (2015); Apple’s proprietary pentalobe screws and serialised component pairing (where replacement parts must be software-authorised) are documented in iFixit teardowns. This trend is partially reversing in some markets due to right-to-repair legislation (EU, some US states), but NZ devices in the field at the time of the event will overwhelmingly reflect the low-repairability design era.↩︎

4. Battery failure as the dominant retirement cause is based on general consumer electronics industry data and repair shop experience. Multiple industry surveys and right-to-repair advocacy data consistently show battery failure as the single most common reason consumers retire smartphones and laptops. The 50–70% figure is an estimate applicable to managed conditions where accidental damage is reduced; under normal conditions, physical damage (cracked screens) is a competing cause, but under recovery conditions where devices are handled more carefully, battery degradation dominates.↩︎

5. NZ exports electronic waste for processing, primarily to certified overseas recyclers. The Ministry for the Environment tracks e-waste flows. The exact volume of e-waste in the NZ system at any time is uncertain but likely represents thousands of tonnes, containing millions of recoverable electronic components. See https://environment.govt.nz/↩︎

6. The 2–5 year extension from a managed programme is an estimate based on the combined effect of power management (extending battery life by 1–2 years on average), cannibalisation (allowing batteries and components from retired devices to extend others), and the laptop-to-desktop conversion (bypassing the battery constraint entirely for fixed-location use). This is an aggregate estimate with significant uncertainty — actual results depend on programme execution quality, the starting condition of the fleet, and failure mode distribution.↩︎

7. NZ mobile connections and smartphone penetration: Commerce Commission annual telecommunications monitoring reports. https://comcom.govt.nz/regulated-industries/telecommunica... — NZ had approximately 5.4 million mobile connections as of mid-2024, with smartphone penetration estimated at 90%+ among adults based on international comparison data and NZ-specific surveys.↩︎

8. Smartphone age distribution in NZ is estimated from industry replacement cycle data. The average smartphone replacement cycle in NZ is approximately 2.5–3.5 years, though this has been lengthening. Not all replaced phones are destroyed — many are stored, gifted, or sold. The age distribution estimate is based on a combination of replacement cycle data and household survey information from comparable markets.↩︎

9. NZ smartphone market share: IDC, Counterpoint Research, and NZ telecommunications industry data. Apple and Samsung consistently hold the largest shares in NZ, with Apple typically at 40–50% and Samsung at 20–30%, followed by various Chinese brands. Exact figures vary by quarter and data source.↩︎

10. NZ right-to-repair status: as of 2025, NZ has no specific right-to-repair legislation. The Consumer Guarantees Act provides some protections regarding product durability but does not mandate manufacturer provision of repair parts or documentation. Apple’s Self Service Repair programme launched in limited markets but NZ availability has been partial. NZ repair businesses rely on aftermarket parts supply chains from Asia, which would be severed in the scenario addressed by this document.↩︎

11. NZ laptop and desktop population: estimated from household survey data, business equipment census data, and industry sales figures. Statistics NZ Household Use of Information and Communication Technology survey provides some data on household computer ownership. Business device numbers estimated from NZ employment figures and typical device-to-worker ratios. The figures are rough estimates — a precise count would require the national asset census (Doc #8).↩︎

12. Desktop and server component lifespans: based on general computer hardware reliability data. See Google, “Failure Trends in a Large Disk Drive Population,” USENIX FAST 2007; Schroeder, B. and Gibson, G., “Disk Failures in the Real World,” USENIX FAST 2007; and general computer hardware reliability references. Electrolytic capacitor life follows the Arrhenius model discussed in Doc #130, footnote 21.↩︎

13. NZ tablet population: estimated from household survey data and sales figures. Tablet sales peaked globally around 2014–2016 and have been declining as smartphones grew larger. Many NZ households acquired tablets during this period that are still in use or stored. The 1–2 million range is a rough estimate.↩︎

14. NZ server and networking equipment: estimated from data centre industry data (NZ data centre capacity approximately 432 MW total IT load as of 2025, per industry reports cited in Doc #8) and general estimates of business networking equipment. The estimate is rough — a precise inventory would be established through the national asset census (Doc #8).↩︎

15. Lithium-ion calendar aging and temperature effects: See Barré, A., et al., “A review on lithium-ion battery ageing mechanisms and estimations for automotive applications,” Journal of Power Sources, 2013. The temperature dependence approximation (every 10°C roughly doubles degradation rate) is based on Arrhenius kinetics and is widely used in battery engineering. Actual rates vary by cell chemistry and design.↩︎

16. Lithium-ion cycle aging: manufacturer data and battery degradation studies. See also Geotab EV Battery Degradation Tool for real-world fleet data. The 0.02–0.05% per full cycle range represents typical consumer lithium-ion cells; exact rates vary by chemistry (LFP cells degrade more slowly per cycle than NMC cells) and by depth of discharge.↩︎

17. LED backlight lifespan: manufacturer specifications from panel producers (LG Display, Samsung Display, BOE) typically rate LED backlights at 30,000–50,000 hours to 50% brightness. See LED panel datasheets from major manufacturers. At 8 hours per day of use, this represents 10–17 years — well beyond the expected useful life of most devices under recovery conditions.↩︎

18. NAND flash endurance: See Schroeder, B., Lagisetty, R., and Merchant, A., “Flash Reliability in Production: The Expected and the Unexpected,” USENIX FAST 2016. Enterprise SSDs under read-heavy workloads demonstrate long life; consumer SSDs with more write-intensive patterns degrade faster but still typically last years under normal use.↩︎

19. Hard drive lifespan: Pinheiro, E., Weber, W.D., and Barroso, L.A., “Failure Trends in a Large Disk Drive Population,” Google, USENIX FAST 2007. Annualised failure rates of 1–9% depending on drive model and age, with failure rates increasing significantly after Year 3.↩︎

20. Electrolytic capacitor lifespan: well-established electronics engineering. The Arrhenius relationship for temperature dependence is standard. See manufacturer datasheets from Nichicon, Rubycon, Panasonic. Also discussed in Doc #35 and Doc #127.↩︎

21. NZ electronic component distributors include RS Components (Auckland warehouse), Element14/Farnell (NZ distribution), and Jaycar Electronics (retail chain with NZ-wide presence). Combined stock of passive components (capacitors, resistors, inductors) in NZ at any given time is unknown but likely in the tens of millions of individual components across all distributors and repair businesses. Solder wire and flux are imported — NZ has no domestic manufacturing of electronics-grade solder. The dependency chain for continued soldering capability is: tin (imported or potentially recoverable from NZ tin-bearing deposits, though no commercial tin mining exists in NZ), lead (recoverable from lead-acid batteries and other scrap), and flux (rosin-based flux could potentially be produced from NZ pine resin, though quality for fine-pitch electronics work is uncertain).↩︎

22. Lithium-ion calendar aging and temperature effects: See Barré, A., et al., “A review on lithium-ion battery ageing mechanisms and estimations for automotive applications,” Journal of Power Sources, 2013. The temperature dependence approximation (every 10°C roughly doubles degradation rate) is based on Arrhenius kinetics and is widely used in battery engineering. Actual rates vary by cell chemistry and design.↩︎

23. Lithium-ion storage recommendations: manufacturer guidelines from Apple, Samsung, and battery cell manufacturers (LG Chem, Samsung SDI, CATL). The 40–60% charge level for long-term storage is standard industry guidance. Recharging every 2–3 months prevents deep discharge damage from self-discharge.↩︎

24. Wireless charging thermal effects: multiple studies have measured higher battery temperatures during wireless (Qi) charging compared to wired charging. The temperature differential varies by device and charger but is typically 5–10°C higher during wireless charging, which translates to measurably faster battery degradation over time. See Prasad, R. and Williamson, S., “Wireless power transfer technology,” IJETED, 2014.↩︎

25. Phone battery replacement times: based on iFixit repair guide time estimates and repair industry experience. Simple replacements (pull-tab adhesive, accessible battery) take 15–20 minutes. Difficult replacements (heavily glued batteries in sealed enclosures, e.g. recent iPhone and Samsung Galaxy S-series models) can take 45–60 minutes including heating, careful prying, and reassembly. These times assume an experienced technician with proper tools; novice technicians take substantially longer and have higher rates of collateral damage.↩︎

26. NZ electronics repair workforce estimate. There is no comprehensive count of electronics repair technicians in NZ. The estimate of 500–2,000 is based on: the number of independent and franchise repair businesses (estimated 200–500 outlets); an assumption of 1–5 technicians per outlet; plus individual practitioners, IT support professionals with hardware skills, and hobbyists. The lower bound (500) represents people whose primary occupation is hands-on electronics repair. The upper bound (2,000) includes IT professionals with significant hardware repair experience as a secondary skill. This figure requires verification through the skills census (Doc #8).↩︎

27. NZ IT sector employment: Statistics NZ employment data by industry classification. The broader Information and Communication Technology (ICT) sector employs approximately 50,000–60,000 people in NZ, but this includes software development, management, consulting, and other non-hardware roles. See also TechNZ and NZTech industry workforce reports.↩︎

28. NZ registered electricians: Electrical Workers Registration Board (EWRB) data. NZ has approximately 14,000–18,000 registered electrical workers across all categories. See https://www.ewrb.govt.nz/↩︎

29. Board-level microsoldering capability in NZ: this estimate is based on the small number of NZ businesses advertising microsoldering and board-level data recovery services (a handful in Auckland, Wellington, and Christchurch), plus an unknown number of skilled hobbyists and IT professionals with this capability. The global rarity of this skill (most phone repair shops perform only module-level replacement, not component-level repair) suggests the NZ figure is small. The skills census (Doc #156) would establish the actual number.↩︎

30. Fleet decline curves are estimates based on: typical component lifespans (Sections 2.1–2.4); the effect of managed power management and cannibalisation (estimated 20–30% fleet extension); the battery-bypass pathway for laptops operating as desktops; and the shift from individual to shared device use. These curves are not derived from empirical data on post-isolation device degradation (no such data exists) — they are projections from known component reliability data. Actual outcomes will depend on fleet age at the time of the event, ambient temperature conditions, programme execution quality, and failure modes not anticipated here. The ranges reflect significant uncertainty and should be treated as planning guidance, not predictions.↩︎