What Singapore’s S$48 Million Digital Content Programme Means for Media Firms

Singapore is putting S$48 million behind a four-year effort to help its media industry compete in a market shaped by mobile viewing, social platforms and artificial intelligence. Launched by the Infocomm Media Development Authority (IMDA) and the Ministry of Digital Development and Information on June 18, 2026, the Digital Content and Capability Development (DCCD) programme combines funding for digital content with support for new production capabilities.

The intended outcome is twofold: help local companies develop commercially viable content for the platforms audiences already use, and ensure that Singapore-centred stories continue to reach viewers in relevant formats.

Why the programme is focused on digital-first media

The programme reflects a sharp change in how audiences discover and watch video. Reported figures indicate that 87% of Singapore residents aged 15 and above use social-video platforms such as TikTok and Instagram each week.

That shift creates an opportunity—and a production challenge—for local media companies. Traditional television remains one route to audiences, but firms also need to develop content suited to social feeds, digital channels and mobile screens. The DCCD programme is designed to help them test those formats without abandoning the local stories and creative identity that make the content distinctive.

What DCCD is intended to support

The programme has a content-development component and a capability-building component.

Singapore stories for broader audiences

Funding is intended to support stories rooted in Singapore and designed to appeal to different audience groups, including younger and older viewers. The emphasis is not simply on producing more content, but on making local stories suitable for the places audiences now spend time online.

Eligible projects may explore:

• Short-form and episodic video
• Micro-dramas and other emerging formats
• Social-media and mobile-first distribution
• Digital channels beyond conventional television
• Animation and localisation tools
• AI-generated content and AI-assisted production workflows

These formats can allow companies to prototype ideas, respond more quickly to audience behaviour and distribute stories across multiple channels. The programme’s commercial focus also means proposals are expected to consider distribution and monetisation, rather than treating production and audience reach as separate questions.

AI as a production tool

DCCD encourages media firms to experiment with AI across development, production and localisation. In practice, that could include using AI to support content creation, reduce repetitive work, adapt material for different platforms or help teams test ideas more quickly.

The policy does not frame AI as a substitute for creative workers. At the programme’s launch, Senior Minister of State Tan Kiat How emphasised that technology should augment creators: AI can help teams pilot, prototype and produce more efficiently, but human stories, identity and emotional connection remain central to resonant content.

That distinction is important for local media companies. The programme is not only an invitation to adopt tools; it is also a test of whether those tools can strengthen storytelling, improve production economics and help Singapore content travel to new audiences.

How media companies can participate

Traditional production houses and digital-native media companies can seek IMDA accreditation before responding to DCCD calls for proposals. The accreditation process is intended to assess whether an applicant has the capabilities needed to develop and deliver digital content.

Project assessments are expected to consider several elements, including:

• The applicant’s creative, production, digital and AI capabilities
• The content concept and intended audience
• Distribution and monetisation plans
• The proposed use of technology
• Execution feasibility
• Expected outcomes

The first reported accreditation batch included 117 firms. Accreditation does not, by itself, confirm that a company has received project funding; firms must still respond to the relevant calls for proposals and have their projects assessed.

NoonTalk illustrates the opportunity—and the caveat

NoonTalk Media has been cited as an example of a Singapore media company exploring AI-generated content and wider digital-transformation opportunities. On June 30, 2026, it announced a non-binding memorandum of understanding with Neusoft Education Technology to explore collaboration in AI, AI-generated content and related initiatives.

That activity is relevant to the direction of DCCD, but it should not be confused with confirmation that NoonTalk has received funding under the programme. Based on the programme’s stated focus, support could potentially help companies of this kind test AI-supported workflows, digital formats and localisation projects with less upfront risk. That is an inference from the programme’s eligible areas, not a confirmed NoonTalk award.

Training is the second half of the transition

New tools alone will not change how a media business works. DCCD therefore sits alongside efforts to build AI skills among media professionals. Selected training under Singapore’s National AI Impact Programme can be accessed using SkillsFuture Credit, and the programme aims to train more than 100,000 non-technical workers.

Reported course offerings cover practical applications such as:

• AI-assisted writing and storytelling
• Content and audio creation
• Social-media content production
• Audience-engagement data analysis

The supplied reporting describes a curated catalogue of 55 courses, although the available evidence does not independently establish the full course list or enrolment procedure.

What success would look like

For media firms, DCCD’s success will depend on more than the number of projects approved or tools adopted. The stronger measure will be whether companies can build repeatable digital production capabilities, find sustainable audiences and create formats that work commercially without losing the specificity of Singaporean stories.

For audiences, the programme promises more local content in the environments where they already watch video—from short social clips to episodic mobile storytelling. For creators, it offers a path to experiment with AI while retaining human judgement over the stories, performances and cultural details that technology cannot replace.

The central bet is therefore not that AI will define Singapore media. It is that better tools, stronger skills and more flexible distribution can give local creators a better chance to make Singapore stories visible wherever audiences are watching.