This is a crowdsourced article from Jobtech Alliance Platform Members, who offer on-the-ground insights into the future of work. We asked them “what is the impact of Artificial Intelligence (AI) on your jobtech business”. While AI creates an existential risk for many platforms, as it risks replacing the labour that many platforms connect to, we see some optimism as well as platforms are able to use AI to improve their efficiency (eg. Bridgia, Arifu), others where AI improves services for users (DOER/InfiniteUP) and even where AI makes platforms feasible at scale (Rwazi, MeaningfulGigs).
At Runnovate, we match entrepreneurs with virtual assistants. When AI gained popularity, fears arose that it would replace virtual assistants in tasks like content writing and data entry. However, the reality is different. Our observation so far is that AI serves as a productivity booster, not a replacement. Entrepreneurs still want virtual assistants, and prefer AI-savvy ones. For example, previously, an entrepreneur requiring an entire marketing department now simply relies on an AI-savvy virtual assistant with marketing expertise to accomplish all the marketing tasks at hand.
AI is great at handling repetitive tasks, allowing virtual assistants to focus on creative and human-centric activities, hence giving virtual assistants room to excel in areas requiring a human touch. Simultaneously, we are seeing new opportunities arise with AI companies seeking virtual assistants for crucial tasks like training AI models. In essence, we are seeing the virtual assistant role evolving alongside AI and we are excited to see more opportunities being created by AI.
The real impact of AI on Bridgia has been the drastic reduction of cost and access to “expertise” in order to develop e-learning programs, content and assessments. It has helped us to stay lean in cost and personnel.
We have been able to use generative AI in developing curriculum and content in our e-learning programmes. In particular, we’re able to quickly develop drafts for validation by our partner institutions, and the role of consulting experts has shifted to later stages in the programme development process.
We’ve also used AI-generated synthetic e-learning video at around 10% of the cost of a studio production. This has enable us to enroll over 1200 students in our programme – over double our target for the pilot. Though this programme has been largely well-received by our learners and impressed employers, there are still a few, but significant, cases of complaints such as “it is uncanny”, “it is unnerving”, and “reduce the use of robots”.
Finally, we’ve used ChatGPT in assessments; creating metrics to be assessed for each skill area and generating corresponding work scenarios. This has shortened the time for assessment development by 30% and made it possible for one person (there used to be two to three) to work on them while validating at the final phases.
Rwazi assigns data collection tasks to mappers across Africa to share information on consumer and market trends, which both African and international companies use for growth.
The value proposition of Rwazi to customers is centered on the quality of our data. However, as with many data providers, first-time mappers may attempt to trick the system. Simple cases like ‘submitting tasks from under the mango tree’ are easily detected through geotagging, but more sophisticated gaming of the system is challenging to spot. Initially, we employed manual quality checks, but as we expanded to over 100,000 mappers across Africa, this approach became impractical. Now, the only viable method for ensuring quality at our current scale is through AI.
We employ AI to capture, validate, and verify data quality in various ways. These include object recognition for identifying stores and contextualizing them, identifying products
and their visibility with pricing, detecting suspicious behavior patterns, and analyzing light patterns in different user-submitted photos to determine if two submissions are of the same location. Having AI run our entire system from capture, validation, verification, to analysis has enabled us to process millions of data points in real-time giving our customers the best data streaming experience. Our team of engineers, skilled in AI and machine learning and based in the US, is responsible for developing our system. In essence, the future of our business depends on effectively using AI to maintain the quality of our data.
Barrett Nash, DOER / InfiniteUp
Many businesses in Sub-Saharan Africa have a can-do attitude that want to make success happen, but have been let down by education or lack of resources. Our AI-enabled tool, DOER Business, gives small businesses super intelligence in their pocket. User can access Chat GPT4 Turbo, OpenAI’s most advanced AI model, to resolve a variety of business challenges like growth, profitability, marketing and making the most use DOER Businesses many features.
We’re targeting what we believe will be the highest impact case study of Generative AI: a suite of software that can transform each small business into a thriving engine of the local economy. To go from a deprivation of strategic resources to complete access twenty four hours a day with a polite, easy-to-talk-to super intelligence will be the key augmentation tool that allow businesses with a sense of ambition to have the opportunity to reach for, obtain and surpass their ambitions.
With breakthroughs in Generative AI dropping so frequently, we are just getting started in the productization of Generative AI. InfiniteUp is pioneering bringing these breakthrough to African businesses with DOER Business.
Arifu creates work readiness and business skills training that can affordably be distributed to people through SMS, WhatsApp, Telegram, Messenger or integration within partner apps.
While each partner has unique needs, content development costs have historically been high. We’re currently piloting the utilization of generative AI first as a co-pilot for our content developers – both for text and image generation – to reduce the costs of this content development by as much as 90%. We’ll then use the output of this research to offer a generative AI plug-in to our platform’s content builder tool so any organization can use preset prompts and forms to instantly create, summarize, and contextualize training into effective, mobile-ready formats. By maintaining quality, but reducing both cost and time taken to develop content, we believe that we can transform how organizations upskill any audience through their apps and mobile channels.
Michael Ifabanwo, Director of Partnerships, Meaningful Gigs
AI has not impacted the demand for creative talent, especially on the B2B side which is where the majority of our clients lie. Large companies still need to ensure design is done right and precise.
At Meaningful Gigs, we are using AI to revolutionize the future of creative work. In creative recruitment, there are three pivotal challenges: the ever-growing creative work with insufficient talent, the uncertainty of hiring new creatives, and the organizational complexities faced by creative operations professionals in a remote world.
Meaningful Gigs is using AI to tackle these challenges and also shape the next 10 years to be the brightest creative period yet in human history. We are doing this by creating the world’s first AI-driven creative recommendation system. This feature learns from your past matches to refine future recommendations, ensuring the ideal creative fit for your needs. Spend less time searching, and more on delivering quality work. This matching platform connects you to high-quality creatives more efficiently than ever before.
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