AI in Media & Broadcast – Professional Essentials Guide

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NEWSCASTSTUDIO.COM

Dot Group: Technology is meant to facil-

itate jobs and automate a lot of the mun-

dane activities, so that employees can be

freed up to work on more complex or cre-

ative tasks. Technology must shrink the

skill gap rather than widen it in order for

businesses to make the most out of their

technological investments. Many technol-

ogies, especially within AI, are focused on

the user, thus designed to work alongside

the colleague, rather than instead of them,

helping businesses to scale and truly make

the most of their AI investments.

How can broadcasters prepare their

workforce for these new tools and

technologies?

Peyton Thomas, product manager,

Panasonic Connect: Broadcasters can

prepare their workforce for new tools and

technologies by adopting software-de-

fined platforms and new transport pro-

tocols like ST2110 today. The industry is

moving to network-based solutions and

broadcasters should start implementing

these emerging solutions from manufac-

turers and the AI technology will closely

follow in development.

Bob Caniglia: Promoting continuous ed-

ucation ensures teams can keep pace with

technological advances and the latest up-

dates, building confidence and expertise

in adopting these solutions. Additionally,

encouraging a mindset of innovation and

adaptability empowers staff to creatively

leverage new tools, enhancing produc-

tion quality and efficiency as new products

come to the market.

Jordan Thomas, marketing manager,

QuickLink: The most effective way to pre-

pare workforces for new tools and tech-

nologies is to provide hands-on training

with platforms, highlighting how these

tools streamline the efficiency of often

mundane and difficult tasks. At QuickLink,

we are committed to providing up-to-date

information on the QuickLink Knowledge

Base and University tools — available 24/7

for broadcasters to fully prepare, train and

educate workforces.

Steve Taylor, chief product and tech-

nology officer, Vizrt: Building awareness

and trust is important for any new technol-

ogy or tool. There is a lot of hype about AI

replacing nearly every human in the cre-

ative workflow, and that naturally makes

people nervous or defensive. Seeing it as

more of an enabler, or “time generator”

— speeding up the less interesting or re-

petitive parts of the creative process and

leaving the content creator to focus on the

compelling storytelling — is a more pos-

itive way of looking at how it can benefit

teams in broadcast.

How will AI and other emerging

technologies further impact jobs in the

industry?

Jordan Thomas: While some roles may

become redundant due to advancements

in AI, new opportunities will emerge in ar-

eas like AI management, content optimiza-

tion, data analytics and virtual production.

Platforms like QuickLink StudioEdge and

StudioPro are already reshaping the skills

broadcasters need for the future.

Noa Magrisso, AI developer, TAG Video

Systems: AI and emerging technologies

will reshape broadcasting roles, shifting

the focus from manual tasks to strategic

expertise in AI tools. By automating repet-

itive tasks like transcription, AI frees pro-

fessionals to concentrate on creativity and

strategy, while also leading to the emer-

gence of new, specialized roles, such as

AI operators and machine learning engi-

neers. This shift necessitates adaptability

and ongoing skill development to ensure

professionals can effectively develop and

implement AI solutions.

Simon Parkinson: Whilst there is hesi-

tation around AI impacting the job market,

the reality is that there will be a shift in the

job market that will result in new jobs be-

ing created within the information sector.

According to the World Economic Forum,

by 2025, it is expected that 85 million jobs

may be displaced by automation, as well

as the creation of 97 million new jobs, with

data and AI, content creation and cloud

computing as a large portion of those job

creations. As media continues to be con-

sumed through different channels, the

most popular at the moment being short-

form content, the potential for AI-powered

enhancements creates more promise for

the industry rather than concern.

What are the training and development

strategies for staff in adopting new

technologies?

Kathy Klinger, CMO, Brightcove:  Busi-

nesses must invest strategically in both

technology and talent. Developing a ro-

bust data infrastructure is essential, as

high-quality, diverse datasets enable AI

to generate relevant and ethical content

tailored to audience needs. Organizations

should also cultivate a culture of contin-

uous learning, equipping teams with the

skills to use AI tools effectively while un-

derstanding the ethical implications and

regulatory frameworks that govern their

use.

What are the biggest barriers to

adopting AI in broadcast production?

Siddarth Gupta, principal engineer, In-

terra Systems:  Adopting AI in broadcast

production often requires extensive in-

frastructure and specialized talent, both

of which drive up implementation costs.

Models trained on limited or non-rep-

resentative data can often struggle with

real-time scenarios, leading to out-of-dis-

tribution (OOD) errors. These compound-

ing technical and financial hurdles have

forced broadcasters to rigorously scruti-

nize and justify their potential ROI before

committing to AI implementation.

Yang Cai, CEO and president, Visua-

lOn: The biggest barriers to adopting AI

in broadcast production include high im-

plementation costs, the complexity of in-

tegrating AI with existing workflows, and

a lack of technical expertise among staff.

Additionally, concerns about data privacy,

reliability, and resistance to change within

organizations can hinder adoption. Over-

coming these challenges requires invest-

ment in training, infrastructure, and build-

ing trust in AI solutions.

Kathy Klinger: Ensuring quality and au-

thenticity remains a challenge, as AI lacks

the nuanced understanding and emotional

depth of human creators. Ethical and legal

concerns, including intellectual property,

data privacy, and bias, further complicate

its adoption, particularly in news and fact-

Continued on next page

Continued from previous page

Promoting continuous

education ensures teams

can keep pace with

technological advances

and the latest updates,

building confidence and

expertise in adopting

these solutions.