The digital landscape has become a double-edged sword. On one side, devices that promise convenience and connectivity are woven into daily routines; on the other, those same tools are increasingly used to monitor people without their consent. From smart glasses that capture unknowing passersby to artificial-intelligence algorithms that embellish property photos, the line between helpful technology and invasive surveillance is blurring.
Vulnerable groups are feeling the pressure most acutely. Homeless individuals and street vendors have reported being filmed by hidden cameras on wearable devices, their images then posted publicly on social platforms. The exposure can cause humiliation, jeopardise personal safety and even affect employment prospects. In parallel, AI-enhanced listings on rental sites often manipulate lighting and angles, leaving prospective tenants unsure whether they are looking at a bright apartment or a dim basement. These practices illustrate a broader pattern of surveillance that extends far beyond traditional cameras.
Irish regulator imposes record €403 million fine on Google
In a landmark decision, Ireland’s Data Protection Commission (DPC) ordered Google to pay €403 million after a six-year probe into the company’s handling of location data. The investigation, launched in February 2020 following complaints from European consumer groups, examined three core services: Web & App Activity, Location History and Location Accuracy, covering the period from the GDPR’s start on 25 May 2018 to 4 February 2020.
The DPC concluded that Google violated the General Data Protection Regulation on several counts. It failed to process location information in a lawful, fair and transparent manner, retained data longer than necessary, and did not give users clear insight into how their movements were being used. Deputy Commissioner Graham Doyle warned that such practices can let companies infer personal interests and target ads without genuine consent, stripping individuals of control over their own data.
Beyond the monetary penalty, the DPC gave Google six months to bring its data-processing operations into full compliance. The ruling follows a series of recent EU actions against the tech giant, ranging from antitrust sanctions to advertising-related fines, signalling a tougher regulatory climate for large digital platforms.
AI transforms Big Tech from asset-light to heavy-industry giants
While privacy battles dominate headlines, a quieter revolution is reshaping the balance sheets of the world’s biggest tech firms. Reuters estimates that Microsoft, Amazon, Alphabet and Meta will together spend roughly $725 billion on capital expenditures (CAPEX) in 2026 alone—most of it earmarked for data centers, custom chips and cloud infrastructure required for advanced artificial intelligence workloads.
The International Energy Agency notes that the five-year cumulative CAPEX of these companies already exceeds $400 billion and is projected to grow by another 75 percent in 2026. That scale now dwarfs global investment in oil and natural-gas extraction, highlighting how AI is turning traditionally “asset-light” software businesses into capital-intensive powerhouses.
Deploying state-of-the-art AI models demands thousands of specialised processors, high-speed networking, massive cooling systems and uninterrupted power supplies. Microsoft announced an $80 billion plan in early 2025 to construct AI-focused data centers, more than half of which will sit in the United States. By the third quarter of 2025, Microsoft’s liquid assets fell from roughly 43 % of its total to just 16 %, reflecting the rapid conversion of cash into physical infrastructure.
Quarterly reports from the second half of 2025 show that while net profits across Alphabet, Amazon, Meta and Microsoft rose 73 % to $91 billion, free cash flow dropped 30 % to $40 billion. The paradox of soaring earnings alongside shrinking liquidity underscores how these firms are betting on long-term AI revenue streams that may not materialise for years.
In July 2026, Alphabet raised its 2026 CAPEX outlook to $195-$205 billion, Amazon lifted its annual target by 10 % to $220 billion, Meta announced a $130-$145 billion window and Microsoft projected $175 billion for the fiscal year. Although the figures bundle non-AI projects, they illustrate the unprecedented scale of investment required to stay competitive in the AI race.
