{
  "url": "https://classa.info/cities/phnom-penh/industries/ai-machine-learning",
  "title": "AI and machine learning office space in Phnom Penh",
  "description": "Where ai and machine learning occupiers cluster in Phnom Penh, what they pay, and what the typical fit-out looks like.",
  "oneSentenceAnswer": "AI and machine learning occupiers in Phnom Penh typically cluster in Boeung Keng Kang, plan ~150 sqft per seat at high-end fit-out ($110–165/sqft), and pay around 264 USD/sqft ($25 USD) on Class A.",
  "tldr": [
    "Preferred submarket: Boeung Keng Kang.",
    "Typical fit-out spec: High-end ($110–165/sqft).",
    "Plan ~150 sqft per seat for headcount sizing.",
    "Class A rent context: 264 USD/sqft ($25 USD).",
    "Typical lease: 3 years with 6 months rent-free.",
    "Talent depth in Phnom Penh: 60/100."
  ],
  "keyFacts": {
    "city": "Phnom Penh",
    "industry": "AI and machine learning",
    "naics": "541715, 541511, 518210",
    "preferredSubmarket": "Boeung Keng Kang",
    "preferredFitoutSpec": "High-end",
    "fitoutBand": "$110–165/sqft",
    "sqftPerSeat": 150,
    "classARentLocal": "264 USD/sqft/yr",
    "classARentUsd": "$25/sqft/yr",
    "vacancyPct": "22.4%",
    "typicalLeaseYears": 3,
    "typicalRentFreeMonths": 6,
    "talentIndex": 60,
    "corporateTaxPct": "20%"
  },
  "faqs": [
    {
      "question": "Where do ai and machine learning occupiers lease office space in Phnom Penh?",
      "answer": "Most cluster in Boeung Keng Kang. Rent runs ~264 USD/sqft ($25 USD) for trophy and prime stock."
    },
    {
      "question": "What fit-out spec do ai and machine learning occupiers run in Phnom Penh?",
      "answer": "Typically high-end at $110–165/sqft."
    },
    {
      "question": "How much office space per seat should a ai and machine learning occupier plan in Phnom Penh?",
      "answer": "Plan ~150 sqft per seat blended. A 100-person team typically takes 15,000 sqft."
    },
    {
      "question": "What NAICS codes describe the ai and machine learning vertical?",
      "answer": "Representative NAICS 2022 codes: 541715, 541511, 518210."
    },
    {
      "question": "What is the talent index in Phnom Penh?",
      "answer": "60/100. Use the city profile for full detail."
    }
  ],
  "pageType": "city-industry",
  "lastUpdated": "2026-04-15T00:00:00.000Z",
  "license": "CC BY 4.0 with attribution to Class A Atlas (https://classa.info).",
  "citation": "Source: Class A Atlas (https://classa.info/cities/phnom-penh/industries/ai-machine-learning), updated 2026-04-15T00:00:00.000Z."
}