07/10/2026
The Hidden Cost of the AI Boom: Video Production Is Getting More Expensive
The cost of producing video is rising, and the pressure is increasingly coming from the computers and storage systems behind production rather than the cameras themselves.
Recenr reports warns that the global memory shortage could continue for at least another three years. RAM and SSD prices are already under pressure as AI companies and hyperscale data centres consume enormous amounts of memory, storage and semiconductor manufacturing capacity.
For video producers and content creators, this has direct consequences.
Modern production depends heavily on powerful workstations with large amounts of RAM, high-performance GPUs, fast NVMe storage and substantial NAS or RAID capacity.
Editing 4K and 6K footage, colour grading, VFX, motion graphics and increasingly AI-assisted production all demand more memory, GPU power and storage.
Graphics cards are also becoming more expensive because the same semiconductor and high-speed memory resources required by professional GPUs are being consumed by the rapidly expanding AI industry.
Storage is not exempt. AI data centres require enormous quantities of SSD and high-capacity hard-drive storage for datasets and archival information. Content creators are therefore increasingly competing for some of the same infrastructure.
For producers in Nigeria, the impact is even greater. Global price increases are compounded by exchange rates, shipping, import duties and limited local inventory.
This changes how production companies must think.
We can no longer assume computers, storage and GPUs will automatically become cheaper next year. Infrastructure has to become part of production planning.
The sensible response is not simply to buy everything immediately, but to manage technology more strategically.
Buy storage against a two-to-three-year requirement rather than waiting until systems are full. Separate fast working storage from nearline and archive storage.
Use NVMe and SSDs for current projects, RAID or NAS for production media and LTO or equivalent systems for long-term archive.
Use proxies and optimised media so every editor does not need terabytes of original camera files on expensive SSDs.
Upgrade good machines where practical rather than replacing entire systems. Adding RAM, storage or a GPU can considerably extend workstation life.
Most importantly, storage, backup, rendering, GPU processing and data management must increasingly be recognised as real production costs, not simply hidden IT overheads.
There is an interesting contradiction emerging: AI is making content creation more powerful while simultaneously making the infrastructure required to create that content more expensive.
The producers who manage this transition best will not necessarily be those who buy the biggest machines. They will be those who understand their workflows, plan capacity early, preserve useful equipment and invest intelligently.
Technology planning is becoming part of production management.
