AI in Media & Broadcast – Professional Essentials Guide

15

NEWSCASTSTUDIO.COM

‘Upskilling,’ new roles created

by use of artificial intelligence

WORKFORCE

While AI has proven its ability to auto-

mate mundane tasks, it will likely also re-

shape how broadcast teams work — and

the skill sets they need to thrive.

“The goal of AI-powered technology

should be to empower creativity, not re-

place creatives,” said Bob Caniglia, direc-

tor of sales operations, Americas, Black-

magic Design.

“By using AI and machine learning to

streamline workflows and eliminate re-

petitive tasks, production teams will have

more bandwidth to learn new skills and

focus on the creative aspects of the job,

including storytelling. Time is a scarce

resource in broadcasting, and these tools

help make it more plentiful,” said Caniglia.

Many vendors in our recent Industry

Insights roundtable see AI as a tool that

can relieve skilled professionals of routine

tasks such as repetitive editing, transcrib-

ing or tagging footage. However, the larger

shift calls for new proficiencies.

To capitalize on AI’s potential, organi-

zations need staff who understand both

traditional production practices and the

intricacies of AI-driven processes — rang-

ing from machine learning models to data

ethics and algorithmic bias.

“The rise of AI and machine learning

places new skills demands on production

professionals,” said Costa Nikols, strategy

advisor for media and entertainment at Te-

los Alliance.

“While traditionally manual-intensive

processes like quality control can be as-

sisted by machine learning tools, users

are beginning to take on more data-driv-

en tasks that require them to engage with,

and understand, new data outputs and

manage automated workflows. This evolu-

tion demands a blend of digital-ready intu-

ition and deep technical expertise,” added

Nikols.

Yet the fear of displacement persists. As

more tasks become automated, there is an

expectation that some roles could be ren-

dered obsolete.

Jordan Thomas, marketing manager at

QuickLink, offered a balanced perspec-

tive, noting that while AI will likely make

certain positions redundant, “new oppor-

tunities will emerge in areas like AI man-

agement, content optimization, data ana-

lytics and virtual production.”

In this sense, AI is less about job elimi-

nation and more about job evolution.

Instead of diminishing the size of the

workforce, it can push employees to adopt

specialized roles.

Upskilling for the AI era

Because new technology often amplifies

the gap between the technologically ad-

ept and those tied to older methods, many

organizations are investing in training

programs that address both the technical

and creative dimensions of AI and other

emerging technology.

Peyton Thomas, product manager at

Panasonic Connect, said broadcasters

should begin preparing their workforce

now “by adopting software-defined plat-

forms and new transport protocols,” en-

suring that future AI innovations will more

easily slot into existing environments.

For some employees, upskilling could

mean learning to operate automated cam-

era systems that use AI for tracking and

framing. For others, it might mean under-

standing how to manage advanced meta-

data tagging or AI-driven analytics that

guide decisions about content production

and distribution.

Simon Parkinson, managing director of

Dot Group, emphasized that “technology

must shrink the skill gap rather than widen

it” if businesses are to gain real value from

their AI investments.

“Many technologies, especially within

AI, are focused on the user,” he said, “thus

designed to work alongside the colleague,

rather than instead of them.”

Building a culture of continuous learn-

ing

Beyond technical know-how, developing

a broader culture of adaptability is critical.

Constant advances in AI — particularly in

areas such as language models, real-time

analytics and generative content — make it

essential for workers to keep refining their

skills. 

“Promoting continuous education en-

sures teams can keep pace with techno-

logical advances and the latest updates,

building confidence and expertise in

adopting these solutions,” said Caniglia.

Companies find that hands-on demon-

strations and trial runs can quickly quell

apprehension and show proof of concept

for these new tools.

Continued on next page