This foresight study examines the future of website design agencies in the Philippines amidst the rise of artificial intelligence (AI). This study uses technology foresight scenario building as a methodology to explore various potential future outcomes, examining the interplay of key predictable variables (KPV) and critical uncertainties (CU) that will shape the industry’s future. These scenarios provide possible challenges and opportunities that website design agencies will face as they navigate the dynamic AI-driven technology landscape.

This paper highlights three possible scenarios that show the different effects of AI on the web design industry. The first scenario focuses on adapting to changing client expectations, emphasizing the importance of understanding client perspectives and economic factors. The second scenario explores how regulatory pressures and sustainability concerns will shape the industry’s development. The last scenario shows a seamless integration of AI in design, marketing, and human collaboration.

Based on the analysis, this paper suggests several strategic recommendations for website design agencies. These include implementing human-AI collaboration, investing in ethical AI usage, and prioritizing ongoing training and expertise development. The study recognizes that while AI will transform the website design industry, agencies will continue to play a critical role in delivering website solutions by effectively utilizing AI as a tool for innovation.

This study examines KM practices in a barangay in QC, focusing on their role in enhancing governance and addressing community challenges. As the smallest administrative units in the country, barangays operate within diverse socio-political, geographic, and resource contexts that create unique challenges and opportunities for KM implementation. The research explores KM processes—knowledge creation, storage, sharing, and application—alongside technology integration to evaluate their impact on governance efficiency, decision-making, and service delivery.

The findings reveal systemic inefficiencies, including inadequate documentation, fragmented storage systems, limited knowledge-sharing mechanisms, and inconsistent knowledge application. These challenges are compounded by resource constraints, minimal technology adoption, and underutilized IT personnel, which hinder the barangay's ability to scale KM practices. Despite these barriers, individual staff initiatives and openness to digitization emerge as promising starting points for improvement.

By identifying critical gaps and proposing evidence-based strategies—such as formalizing documentation protocols, implementing dual storage systems, fostering knowledge-sharing practices, and investing in technology and capacity-building—this study underscores KM's transformative potential in achieving sustainable development, enhancing transparency, and strengthening community resilience.

The paper explored the future implementation of artificial intelligence in selected government agencies in the Philippines through technology foresight and scenario building. A high-level examination of current initiatives, challenges, and opportunities for potential integration in the Philippine government services was conducted, and future scenarios for AI implementation over the next five years was envisioned.

Results showed that several legislative frameworks that set the stage for AI integration are already in place, including but not limited to The Digital Transformation Act of 2012, Cloud First Policy, DICT’s Cybersecurity Plan of 2023-2028, and DTI’s National AI Strategy Roadmap. Additionally, initiatives for initial AI research and development are in place, as seen in projects spearheaded by the Department of Science and Technology, the Department of Information and Communications Technology, among others.

The study identified key challenges in relation to AI integration in areas under (1) Resources and Infrastructure, (2) Policy, and (3) Ecosystem, and (4) Culture. Specifically, insufficient government policies and strategic direction, lack of funding for research and implementation, insufficient digital infrastructure, weak linkages between industry, government, and academe, and lack of talent availability in the field of data science and AI are found as main challenges.

Four scenarios were developed to determine plausible futures and strategic recommendations. Recommendations in areas related to policy and strategic frameworks for AI and Data, infrastructure development, talent development, triple helix partnerships, and international partnerships were presented, drawing inspiration from strategies used by countries such as the United States and Singapore.

Hospital food service has primarily turned its attention to automated kitchen equipment, focusing on enhancing effective and safe food utilization and improving food quality. However, successful implementation of automation would require a resolution of some organizational and operational obstacles. The technology acceptance model (TAM) was utilized to examine the relationship of safety, security, efficiency, and maintenance on personnel adaptability, patient satisfaction, and the need to invest based on the respondents’ perception of automated kitchen equipment. For this study, the data obtained was analyzed using a quantitative descriptive and correlational approach derived from a survey of fifty-seven (57) dietitians, cooks, and food servers working at the Nutrition and Dietetics Department (NDD) of East Avenue Medical Center (EAMC). Results indicate a high correlation between independent variables and dependent variables. Mean scores are high, and standard deviations are low for safety and security factors. Automation is associated with safety and security and a motivation to adopt technology. An important factor is efficiency. Respondents agree that automated kitchen equipment simplifies operations, speeds up processes, and improves food handling to meet patient satisfaction. Maintenance has a mixed view; it is considered an important factor, yet challenges in cleaning, repair, and expenses will likely inhibit adoption. Addressing this by procuring well-designed automated kitchen equipment with easy self-cleaning mechanisms and proper training will increase the chances of maximizing the use of automated systems in hospital food services.

With the increasing number of Filipinos who experience mental health problems, there is a need to understand the capabilities and potential of digital technologies which are not yet fully exploited in the Philippine set-up. The researcher aims to identify key variables and strategies that will contribute towards effective usage and shaping of digital technologies to offer mental help for Filipinos. Also, risks associated with the exploitation of said technologies have to be considered.

To do technology foresight to identify different key variables and plausible scenarios, the scenario-building technique was conducted. In aid of this, the researcher conducted interviews with different mental health professionals to examine the current mental health system in the country. PESTLE analysis for environmental scanning was done to identify the implication of implementation of different digital technologies in support of mental health in the Philippines.

The researcher has been able to develop three plausible scenarios and their roadmaps through technology foresight. The study provides recommendations for the proper implementation of digital technologies in the field of mental health in the country. Participation of different stakeholders in implementing digital transformation in providing the mental needs in the country would be crucial as seen in the technology roadmaps for the developed scenarios. The major risks associated with the utilization of digital technologies in mental health intervention applications are data privacy and security concerns.