{
    "success": true,
    "data": {
        "id": 1679433,
        "msgid": "why-are-so-many-ai-projects-stalling-heres-the-culprit-1776253852",
        "date": "2026-04-15 18:29:01",
        "title": "Why Are So Many AI Projects Stalling? Here's the Culprit",
        "author": "Erdy Nasrul",
        "source": "REPUBLIKA",
        "tags": "",
        "topic": "Technology",
        "summary": "Despite the hype surrounding artificial intelligence adoption, numerous companies are failing at the critical implementation stage, resulting in projects that stall as mere pilots without tangible business impact. Deputy Minister of Communication and Digital, Nezar Patria, highlights that AI's true productivity gains depend on enhancing human capabilities and organisational readiness, including robust data infrastructure and realistic expectations. This underscores the need for a holistic approach to digital transformation beyond mere technology adoption, particularly in Indonesia's evolving tech landscape.",
        "content": "<p>In the midst of the euphoria surrounding artificial intelligence (AI)\nadoption, many companies are stumbling at the most crucial phase:\nimplementation. Instead of becoming engines of productivity, numerous AI\nprojects grind to a halt midway, stalling as mere trials without any\nreal impact on business. This phenomenon represents an irony in an era\nwhere AI is promoted as the key technology for digital transformation.\nGlobal data shows that AI adoption continues to rise. However, behind\nthese impressive figures lies a fundamental issue often overlooked:\nfailure does not stem from the technology itself, but from people and\nthe way organisations manage it. Deputy Minister of Communication and\nDigital, Nezar Patria, emphasised that the true value of AI does not\nstand alone. This technology will only be optimal if it runs in tandem\nwith improvements in human capacity. \u201cTrue productivity from AI only\nemerges when human capabilities develop alongside it,\u201d he stated in an\nofficial remark in Jakarta. This statement serves as a reminder that\nbehind sophisticated algorithms lies a more determining foundation:\nleadership and organisational culture. According to Nezar, many AI\ninitiatives stop at the initial stage because organisations are not yet\nready to integrate them fully into business processes. One of the most\ncommon pitfalls is the \u201cpilot project\u201d phenomenon. Companies\nenthusiastically test AI on a small scale but fail to advance to full\nimplementation. Projects that should serve as gateways to transformation\ninstead end up as experiments without follow-through. This issue is\noften exacerbated by unrealistic expectations. AI is viewed as an\ninstant solution, whereas it requires a long adaptation process. Without\na clear strategic direction, AI projects easily lose relevance and are\nultimately abandoned. On the other hand, data quality is a no less\ncrucial weak point. AI heavily relies on clean, integrated, and secure\ndata. Without a strong data foundation, AI systems risk producing biased\nanalyses, even misleading business decision-making. \u201cAI will fail if not\nsupported by good data quality. A clean and integrated data architecture\nmust be the foundation,\u201d said Nezar. This statement reinforces that\ndigital transformation is not sufficient with just technology adoption,\nbut also requires a complete overhaul of data infrastructure.\nAdditionally, the readiness of human resources is a determining factor\noften ignored. Many companies adopt AI without accompanying it with\nimprovements in employee competencies. As a result, technology that\nshould serve as a tool ends up not being utilised optimally.<\/p>",
        "url": "https:\/\/jawawa.id\/newsitem\/why-are-so-many-ai-projects-stalling-heres-the-culprit-1776253852",
        "image": ""
    },
    "sponsor": "Okusi Associates",
    "sponsor_url": "https:\/\/okusiassociates.com"
}