The AI middle way
Lead — The UBS note by Paul Donovan emphasizes the potential positive shift for workers facing job changes due to AI rather than outright job losses, highlighting adaptability as a key factor in employment stability. Per the full note, the focus is on the ability of the workforce to embrace automation, which could mean less disruption to the employment landscape compared to historical shifts linked with technology. As markets grapple with these economic narratives, staying attuned to central bank responses and their broader implications for labor and productivity becomes paramount in positioning strategies.
What the desk is arguing
The desk asserts that current discussions around AI's impact on employment often overlook the significant portion of jobs that will evolve rather than disappear. Per the full note, many jobs subject to AI automation may still retain their positions if less than 50% of their tasks are vulnerable to automation.
Evidence suggests that the increasing familiarity with technology among workers—unlike past industrial revolutions where relocation to urban centers was necessary—could facilitate a smoother transition as they adapt to new tools and methodologies. This could lead to an overall less disruptive environment for workers, fostering a more resilient job market.
Where it sits in our coverage
Based on current analyses, jpmorgan projects a target of 1.10 for March 2026, while bofa sets a more conservative target of 1.04 over the same period. The comparative range from our internal coverage reveals a mildly optimistic stance where the upper limits of expectations could factor in economic adaptabilities such as those described by Donovan.
How other firms see it
Many firms like jpmorgan align with the notion of a transformative, rather than destructive, influence of AI on labor markets. Conversely, firms like bofa express a more cautious view, focusing on the immediate risks posed by potential job losses in specific sectors.
The discussion around AI and labor intersects with the employment indicators and central bank strategies shaping dollar and euro positioning as they navigate these dynamics, notably reflected in USD/EUR fluctuations.
How firms align with this view
Aligned with the desk view
Contrary positioning
Key takeaways
- 01AI may transform jobs rather than eliminate them, fostering employment adaptability.
- 02Workers' existing tech skills can facilitate smoother transitions amidst automation.
- 03The desk emphasizes the need to monitor central bank policies reacting to job market shifts.
Market implications
Watch for movement around the 1.10 target set by **jpmorgan** and how that correlates with labor market developments. Shifts in employment data could prompt significant adjustments in central bank strategies, impacting currency valuations across key pairs.
Risks to this view
Invalidation of this optimistic outlook could emerge from harsh economic adjustments leading to increased unemployment metrics, particularly in traditional sectors heavily affected by AI. If central banks pivot due to adverse employment data, this could reverse current market sentiments.
While AI pessimists focus on job destruction, jobs that remain but change might be more important. Here, there are reasons to be optimistic. View this email in a web browser The AI middle way UBS Weekly Blog by Paul Donovan The economics profession exhibits a rare degree of unanimity when it comes to the impact of technological change on employment.
Technology destroys some jobs but creates new ones. Over time, the two forces tend to balance each other. Some people who lose their jobs lack the willingness or skills to undertake the new or available jobs.
That creates the innocuous sounding but often devastating “frictional unemployment.” It might mean permanent unemployment, especially for older workers. There is also the bit in the middle. For a sizeable group of workers, AI is likely to change rather than destroy their jobs.
If more than 50% of a job’s tasks can be automated, the job will likely be lost. If fewer than 50% of tasks can be automated, the job changes but remains. As the job continues to exist, whether these workers become unemployed depends on the worker’s ability to change.
There are reasons to be optimistic about this middle group. AI might be less disruptive. Unlike the first industrial revolution, workers adopting AI are not forced to give up working at home to move to a dark, satanic mill in a city.
Many workers required to use AI are already computer literate. If workers find it easier to evolve, they can adapt and stay employed. Read more 〉 Read important disclaimer 〉 Recommended content Nobel Perspectives - Exploring the questions that shape our world 〉 Women in Economics – Explore the work of influential thinkers 〉 You have received this email because you registered at .
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