We gathered 57 of the highest AI in undertaking administration statistics to assist perceive this key improvement in know-how. Current developments in tech have modified how undertaking managers work in 2024.
Utilizing our 20 years of undertaking administration expertise, we reviewed AI statistics and traits from trusted third events, which kinds the inspiration for this listing. It covers every little thing from the impression of AI changing jobs to how AI is used to assist the supply of initiatives.
Many undertaking managers will pay attention to the impression (or potential impression) of GenAI and different AI applied sciences in undertaking administration, though not everybody has but to see substantive advantages in real-life adoption. Let’s check out the newest stats.
High AI in undertaking administration statistics
You’ve most likely learn that 80% of undertaking administration duties shall be eradicated by AI by 2030 (Gartner). Meaning eradicating the busywork of undertaking administration like information assortment, standing reporting and monitoring – which I feel is an effective factor.
Listed below are another prime undertaking administration statistics price realizing.
- The worldwide marketplace for AI for undertaking administration is predicted to develop to US$5.7bn by 2028 at a CAGR of 17.3%.
- 41% of consultants report important enhancements in undertaking supply since adopting AI-based instruments and strategies.
- 28% of a undertaking supervisor’s ability set may be augmented by GenAI together with methodology and life-cycle pushed duties.
- There are extra information and analytics initiatives being kicked off in 2024 than earlier years, with 77.6% of organizations reporting that they’re driving enterprise innovation with information in comparison with 59.5% in 2023.
- 72% of undertaking managers say AI could be very or extraordinarily prone to change their roles.
Sources: Markets and Markets, Nieto-Rodriguez/Viana Vargas, LinkedIn, Wavestone, APM
Adoption of AI in undertaking administration
22% of undertaking managers say AI instruments are deployed of their organizations and in use at this time (Capterra). Nevertheless, totally different surveys report totally different adoption ranges. PMI’s GenAI report says that a 3rd of practitioners’ organizations have adopted AI in no less than a average capability.
Solely 12% have adopted AI in a considerable means, and the adoption ranges are a lot increased in tech-forward corporations (34%).
- 39% of undertaking managers say there are plans to deploy AI instruments of their organizations.
- 21% of enterprise leaders say deployment of AI instruments isn’t of their present plans.
- Firms anticipate to extend funding in AI for his or her undertaking administration operate by 32%.
- 29% of undertaking professionals say they don’t really feel prepared for the adoption of AI instruments. Solely 9% say they’re extraordinarily prepared.
- 75% of consultants say complicated initiatives are very seemingly or extraordinarily prone to profit from AI in comparison with a easy undertaking.
Sources: Capterra, IPMA, PMI, APM
Influence of AI on undertaking administration jobs
47% of individuals imagine that AI would do higher at treating all job candidates in the identical means than people (Pew Research). In order that could possibly be a constructive for undertaking managers making use of for jobs.
Will AI change undertaking managers? I don’t suppose human intelligence will ever be faraway from undertaking supply. Listed below are another statistics on the impression of AI on undertaking administration roles.
- 85% of individuals imagine that on-the-job coaching is the easiest way to develop the AI abilities required.
- Giant Language Fashions assist the least expertise workers probably the most. Analysis reveals that much less skilled employees confirmed a 43% enchancment in efficiency when utilizing LLMs, in comparison with an enchancment of solely 17% by extra skilled employees.
- 80% of undertaking leaders imagine they’ll have extra time for complicated managerial duties when utilizing AI instruments.
- The non-IT ability required probably the most for utilizing AI in undertaking administration is analytical considering, adopted by artistic considering and sophisticated downside fixing. Social abilities are thought-about the least prone to be wanted to make use of AI.
- Solely 40% of practitioners imagine that AI will create new duties. 54% imagine it would change the way in which work is organized and 53% imagine it would improve undertaking workforce agility.
- 65% of consultants see AI as a catalyst for implementing superior undertaking administration methods.
Sources: IPMA, Microsoft, Nieto-Rodriguez/Viana Vargas, APM
AI Undertaking Supervisor salaries
I couldn’t discover a survey that summarized AI undertaking supervisor jobs and salaries, most likely as a result of there aren’t that many positions. The position hasn’t been round that lengthy. Oceania is the continent that’s doing probably the most to construct or recruit AI competence into the group (PMI).
Nevertheless, I searched Glassdoor and Totaljobs, and from the job adverts I noticed, the typical wage for an AI undertaking supervisor in London, UK, was £75,000.
Glassdoor places salaries for an AI undertaking chief at between £41k and £77k per yr.
Salary.com says that Wells Fargo pays AI undertaking managers between $90,629 and $124,401.
One other method to assessment the salaries for an AI undertaking supervisor is to think about that because it’s a distinct segment ability, these roles are prone to command higher-than-average salaries. The Bureau of Labour Statistics says the very best 10% of undertaking administration specialists earned $159,150, so you may contemplate {that a} benchmark.
One factor that isn’t clear is whether or not AI will, over time, really cut back salaries because the position is not going to require a lot administrative work – corporations may be trying to make value financial savings.
Makes use of of AI in undertaking administration
AI is in use by undertaking supply practitioners and Undertaking Administration Workplace professionals, typically by means of instruments like ChatGPT or Microsoft Copilot, and extra particularly reminiscent of in instruments designed to assist specific domains like AI in threat administration.
Latin America has the very best AI maturity ranges and in addition spends probably the most effort on ensuring workers are prepared to make use of AI instruments (PMI).
25% of PMO administrators say that AI has disrupted their PMO (Capgemini) – and I’m positive that quantity will solely proceed to rise. Let’s take a look at some extra statistics about the advantages of AI.
- Over 70% of practitioners say that reaching compliance with high quality requirements may benefit from AI adoption.
- 65% of undertaking managers say that they’re almost certainly to make use of AI throughout undertaking deployment and execution phases.
- Automating duties is the highest profit for utilizing AI instruments (cited by 33% of undertaking professionals), adopted by efficient useful resource allocations (32%) and getting extra correct metrics (27%).
- Predictive analytics instruments and chatbots are probably the most generally used, with 26% of organizations utilizing these or planning to make use of these to assist undertaking supply.
- 23% of organizations are utilizing or planning to make use of RPA.
- 66% of consultants imagine that undertaking scheduling and time administration is the realm with the very best potential for AI course of automation.
- 60% imagine that augmented analytics might help threat and alternative planning and administration.
- 49% of organizations imagine that implementing GenAI will generate large productiveness good points.
- Over 1 / 4 of undertaking managers are extraordinarily seemingly to make use of AI to investigate massive information units on complicated initiatives – I can see this being helpful for figuring out potential dangers and in analyzing real-time information.
Curiously, undertaking administration domains the place there’s low impression from AI are thought-about to be stakeholder administration, undertaking communication and undertaking budgeting.
Sources: Capterra, APM, IPMA, Wavestone, PMI
Obstacles to adopting AI in undertaking supply
The ‘traditional’ boundaries to adopting any new know-how, like restricted funding, person adoption and senior assist, coaching and so on are holding again AI’s development into corporations.
However different limitations just like the carbon offsetting burden – coaching an LLM can emit 25 instances extra carbon than one-way air journey between New York and San Francisco – might also maintain corporations again from constructing their very own options (Stanford).
- 70% of individuals report {that a} restricted understanding of AI applied sciences is a very powerful barrier to utilizing new instruments.
- 49% of pros say that restricted monetary sources are a barrier to adopting AI.
- 28% of undertaking professionals say lack of a transparent technique is the principle barrier to adopting AI instruments at work.
- Different boundaries to adopting AI embrace moral, privateness and safety considerations (26%), and AI know-how immaturity (25%)
- 1 in 5 undertaking managers say there are insufficient abilities throughout the workforce to implement AI instruments.
- 74% of consultants are nervous about potential moral challenges ensuing from AI-based choice making.
Sources: IPMA, Capterra, Nieto-Rodriguez/Viana Vargas
How undertaking managers really feel about AI
The way forward for undertaking administration is constructive, with excessive demand for jobs and a robust give attention to profitable undertaking outcomes – there’s a lot to be performed, and AI is poised to assist.
- 44% of undertaking practitioners imagine that they’ll find yourself with extra initiatives to handle because of organizations adopting AI.
- Solely 29% of undertaking managers are nervous about AI taking up their jobs, though this will increase to 40% within the subsequent 15 years.
- 77% of undertaking managers are optimistic about AI.
- 44% of undertaking professionals say they’re extraordinarily happy with the usage of AI know-how at work, and 46% report being very happy.
- 54% of corporations utilizing AI in undertaking administration are very comfy utilizing it to make choices. Solely 2% are usually not comfy.
- 68% of undertaking managers say they haven’t acquired sufficient coaching on the right way to use AI instruments.
Sources: IPMA, Nieto-Rodriguez/Viana Vargas, Capterra, APM
What do these undertaking administration and AI statistics imply?
Listed below are my prime 3 takeaways from analyzing a whole lot of synthetic intelligence undertaking administration statistics, charts and numbers.
Takeaway 1: AI isn’t going to take your job
My key takeaway from analyzing the info is that AI isn’t going to take your job in the event you work in undertaking supply. Too many undertaking administration abilities can’t be performed by computer systems… which is an effective factor for my part! You possibly can solely get a lot enterprise acumen, techniques considering and cultural understanding from a mannequin.
Nevertheless, the various surveys and analysis research all level to the identical factor: the position of a undertaking supervisor is altering, so that you do have to hold updated with how the tech is evolving.
Think about how AI might help with monitoring, controlling and creating undertaking deliverables. The opposite space to actively look into is useful resource administration: useful resource availability and capability planning is a typical ache level with the undertaking managers I mentor, so something that helps is a plus.
I feel there’s a variety of information and coaching on the market now, together with programs from LinkedIn Studying and PMI, so there is no such thing as a excuse to not have a primary understanding of instruments like GenAI and what they’ll do.
When you can foyer for AI coaching and time to apply with the instruments out there for you, then accomplish that. Realizing how AI-driven options work will solely make your job simpler, and most undertaking managers report not having been supplied with ample coaching.
Takeaway 2: AI advantages complicated initiatives
The subsequent factor that was clear to me from reviewing the info is that AI advantages complicated initiatives. The bigger your information units for analysis and evaluation, the extra AI-powered tech could make it straightforward so that you can sift by means of the info.
APM’s analysis says that IT and Know-how initiatives are almost certainly to see a profit from AI however I feel over time we’ll additionally see authorized undertaking administration and development seeing advantages because of the large quantities of knowledge that can be utilized in these initiatives.
I feel that the most important barrier to creating use of this development is having clear information. I might recommend that any undertaking groups trying to make use of the analytical energy of knowledge fashions and LLMs have to schedule time on the plan for information cleaning and preparation.
Takeaway 3: GenAI advantages much less skilled undertaking professionals
Lastly, I picked out the purpose that GenAI is extra useful to folks with much less expertise. Undertaking success charges are massively impacted by the standard of the workforce engaged on the undertaking. With pure language processing and machine studying, it’s simpler to assessment information from historic initiatives to assist undertaking planning.
That is so vital for a career the place we’re shedding skilled undertaking managers to burnout and other people transitioning out of the job. Routine duties may be made simpler and initiatives processes may be was workflows with RPA.
Last ideas
Dependable AI information and statistics on synthetic intelligence in undertaking administration is vital to grasp the sentiment of how undertaking professionals are feeling concerning the impression of newer applied sciences and to offer helpful insights into how it’s used.
AI will proceed to dominate undertaking supply conversations and turn out to be embedded within the ways in which initiatives are scoped, executed and analyzed within the years to come back, almost certainly eradicating administrative duties and supporting knowledgeable choices.
Maybe the query we needs to be asking is how do we would like AI to impression undertaking administration? Then we will form the know-how to ship the very best outcomes.
