The recently-settled strike of Hollywood writers, in substantial part related to the anticipated impact of artificial intelligence on writer employment and participation in residuals, is likely to be replicated--in concern about AI impact on employment and market value--in many other industries.
Any examination of key technology developments over the past 30 years would suggest such an outcome, based on the impact lower marginal costs of personal computer, internet, mobile, and cloud computing industries have had on economic growth, productivity, the rise or fall of segments of the economy, jobs, value and income of workers in industries affected by the lower marginal cost of those technologies.
Marginal cost declines have led to lower prices for products and services, which has increased consumer spending and boosted economic growth. But since one participant’s cost is another participant’s revenue, for every winner there is a loser.
This has made these products and services more affordable for consumers, but reduced revenue and profits for suppliers. On the other hand, falling prices have the expected effect of higher usage. Lower costs of AI will encourage its wider use. And it would be hard to find examples of widespread new technology usage that did not affect supplier (and workers are suppliers of labor) prices.
For example, the price of personal computers has fallen by more than 90 percent since the 1980s, and the price of internet access has fallen by more than 95 percent since the 1990s (price per unit), even using conservative assumptions about “average” or “typical” speed. Cost per Mbps of performance is therefore somewhat overstated by 50 percent or so in 2023, for example.
Marginal cost declines have also led to increased productivity, to the extent one believes the productivity of an office or knowledge worker actually can be measured.
Disintermediation has been a hallmark of the internet era, spawning any number of “direct to consumer” distribution models” e-commerce; video and audio streaming being examples.
Additionally, the rise of cloud computing has led to the substitution of remote computing “as a service” for ownership and operation of computing hardware and software. This has drastically reduced startup costs for software firms, for example.
The point is that AI is going to affect the economy, assuming it is a general-purpose technology such as roads, electricity, computers, cloud computing, the internet or home broadband.
And all those prior technologies have led to new industries being formed, work processes and demand being altered, value created or lessened in different parts of the value chain. Hollywood writers fear AI will replace some of what they do, leading to lower wages and residuals.
Whatever the immediate perceived results of the settlement, the long-term impact is not likely eliminated. Work, life, the economy all are likely to be reshaped by AI, and not always in ways people might prefer.