Portugal AI adoption and productivity gap

The stakes are economic as much as technological. Portugal produced 66.9% of the European Union average in wealth per hour worked in 2025, according to Pordata and Eurostat data cited in the discussion. That is not just a statistic for economists; it is the reason so many companies struggle to raise pay, compete internationally and build scale. For investors, productivity is the engine that eventually shows up in stronger margins, better cash generation and, over time, higher valuations.

The problem is that adoption remains shallow. According to Portugal’s statistics office, only 11.5% of companies with 10 or more workers were using AI in 2025. That is a reminder that the productivity revolution is still in its early innings, especially outside large firms. Even where AI has been adopted, a separate AWS study cited in the discussion suggests only 16% of user companies have reached advanced integration. In other words, many businesses are still using AI like a faster assistant, not a business model upgrade.

That distinction matters. Writing emails faster is useful, but it does not change an economy. Companies that use AI to improve supply chains, cut downtime, predict problems and automate routine work are the ones likely to generate durable gains. Small and medium-sized enterprises, which often lack the capital to make large technology investments, could benefit most if AI tools are made accessible and affordable. But there is also a clear risk of a two-speed business landscape, with digitally mature companies pulling away from those that fail to adapt.

There are reasons to be cautiously optimistic. The government has launched a pilot AI training program in Leiria for small companies, with 50 participants in the first phase and an ambition to reach 100,000 workers over three years. That is the right direction, because the big constraint is not just software — it is management, training and process redesign. If firms do not retrain workers and reorganize operations, AI will remain a novelty instead of a source of economic value.

For investors, that is the long-term frame that matters. AI is not simply a theme for U.S. megacap technology stocks such as Microsoft, Nvidia and Alphabet; it is also a competitiveness story for countries, industries and smaller listed businesses that can translate software into productivity. The winners will be the firms that use AI to do more with the same labor force, not just to automate low-value tasks. The losers will be companies that adopt the tools without changing the way they operate.

The same logic applies to the public sector. Governments that use AI to shorten response times, simplify procedures and improve service delivery can raise productivity across the whole economy. But they also need to manage the risks around employment, privacy and accountability. Done well, AI can support higher output, better wages and stronger corporate profitability. Done poorly, it can add complexity without adding value.

For long-term investors, the takeaway is simple: AI is worth watching not because it creates more activity, but because it can create more output from the same effort. In Portugal, where productivity has lagged for years, that difference could be historic.