No, nor does the United States' Congressional Research Service[1]. In a 2017 report, John Sargent projects that Computer Occupations will "see the largest incre

No, nor does the United States' Congressional Research Service[1]. In a 2017 report, John Sargent projects that Computer Occupations will "see the largest increase in the number employed (546,100), the largest annual average number of labor force exits (75,800), and the largest annual average number of occupational transfers (217,300)". In total, 58.6% of all science & engineering jobs will be computer occupations. Now, "is there a bubble"? Again, no. If we look at those numbers as hard deadlines, then let's see how many students are leaving college with CS degrees? The National Center for Education Statistics reports that only 60,000 bachelor degrees were conferred in 2015 [2]. Enrollment is still at its highest point, but no where near the amount Sargent says we'll be needing by 2026. I think the biggest concern to a programming bubble is the capacity challenges we face in training these new developers. If you look at historical trends, there is no dot-com crash right now. Maybe people getting scared because of data analytics, but nothing as severe as 2003's web companies over-estimating their worth. Instead, I think this looks more like the bubble from the 1980's [3,4]. Roberts and Henn try to explain the cause for the drop in enrollment. Henn focuses predominantly on gender representation in the media making females feel like CS was "boy's only". Female enrollment is only now beginning to return. Roberts, on the other hand, looks at how institutes handled the increase in CS enrollment. Since there were only so many qualified instructors, colleges began to make harder and harder qualifying requirements for enrollment. Students, as a whole, got the point and sought out other degrees. So "is there a bubble?" maybe/maybe not; but it would be because there are not enough qualified instructors to teach the need. [1] https://fas.org/sgp/crs/misc/R43061.pdf https://fas.org/sgp/crs/misc/R43061.pdf [2] https://nces.ed.gov/programs/digest/d16/tables/dt16_322.10.asp https://nces.ed.gov/programs/digest/d16/tables/dt16_322.10.a... [3] https://cs.stanford.edu/people/eroberts/CSCapacity/ https://cs.stanford.edu/people/eroberts/CSCapacity/ [4] https://www.npr.org/sections/money/2014/10/21/357629765/when-women-stopped-coding https://www.npr.org/sections/money/2014/10/21/357629765/when...